1 00:00:01,050 --> 00:00:08,400 Welcome to to this, the the second of C Levelling Up lecture series. 2 00:00:08,400 --> 00:00:30,510 And this session is about skills and skills that are appropriate for a society that provides good jobs for wherever you live in the country, 3 00:00:30,510 --> 00:00:35,710 basically for a large majority of the population. 4 00:00:35,710 --> 00:00:48,150 And I want to introduce three people who are a superbly qualified between them to talk about this process. 5 00:00:48,150 --> 00:01:00,960 So I will introduce first the the the Baroness who is going to chair the whole process tonight of the discussion, 6 00:01:00,960 --> 00:01:10,140 which is Baroness Allison Woolf and Baroness Woolf, has been Baroness Professor Wolf. 7 00:01:10,140 --> 00:01:22,770 I'm sure there's some other titles as well, but that she has two different hats on and she's speaking tonight with only one of those hats. 8 00:01:22,770 --> 00:01:39,620 On that hat is as a professor at King's College London, where she is a world authority on on this whole subject of skills. 9 00:01:39,620 --> 00:01:48,780 And she's had a lifetime of work on this other hat, we should say, 10 00:01:48,780 --> 00:02:03,540 is that she spends part of her week in the policy unit at 10 Downing Street, where she also advises on a very similar topic, shall we say. 11 00:02:03,540 --> 00:02:15,530 But tonight she is speaking purely in her capacity as an academic, and that is important to to recognise. 12 00:02:15,530 --> 00:02:27,460 Sitting next to her is. So, Chris, husbands and Sir Chris Husbands is an academic, 13 00:02:27,460 --> 00:02:36,730 but he's speaking in his capacity as as vice chancellor of Sheffield Hallam University and Sheffield Hallam University, 14 00:02:36,730 --> 00:02:52,750 is generally the top rated university in the country for student engagement, both for the learning experience that students get while at university, 15 00:02:52,750 --> 00:03:03,580 but also in the interaction between the university and the city region in which it's located. 16 00:03:03,580 --> 00:03:14,170 So he's going to be really speaking in this capacity as vice chancellor rather than as an academic in his own right. 17 00:03:14,170 --> 00:03:20,920 But of course, he's allowed to straight into a wider area of expertise. 18 00:03:20,920 --> 00:03:35,620 And then I'm extremely excited, honoured that that Ian Stewart has somehow found the time to come here. 19 00:03:35,620 --> 00:03:50,890 Ian is the chief executive of HSBC, which is the first of the major banks to relocate out of London to a provincial city, 20 00:03:50,890 --> 00:03:57,490 Birmingham, and is also a major employer in South Yorkshire. 21 00:03:57,490 --> 00:04:02,990 And so even as here in three capacities tonight, 22 00:04:02,990 --> 00:04:15,850 but the first capacity is that he is a major employer of skilled labour in Birmingham and in South and in South Yorkshire. 23 00:04:15,850 --> 00:04:29,020 And so he's the pioneer of a major firm employing skilled labour outside the magic circle of the southeast. 24 00:04:29,020 --> 00:04:34,810 And so in his capacity as an employer in a major provincial city, 25 00:04:34,810 --> 00:04:42,670 this is a really exciting he's pioneered and we want to learn about that pioneering role. 26 00:04:42,670 --> 00:04:52,570 But HSBC is also got a huge footprint in the Midlands and South Yorkshire. 27 00:04:52,570 --> 00:05:01,720 It is a major bank operating with Sony's small and medium firms in those regions. 28 00:05:01,720 --> 00:05:16,330 And so the second rule is he's at the top of a massive group of people deciding on loans for these SMEs. 29 00:05:16,330 --> 00:05:28,180 And it's in that capacity where he is also very important. Have these SMEs got the skills needed to prepare a convincing case for a loan? 30 00:05:28,180 --> 00:05:40,300 And that's enormously important because SMEs outside the Southeast have got to grow and at the moment, 31 00:05:40,300 --> 00:05:45,400 the finance for some years is very heavily concentrated in the southeast. 32 00:05:45,400 --> 00:05:48,790 So, for example, two thirds of all venture capital finance research, 33 00:05:48,790 --> 00:05:58,900 and he's just goes to the south reserves in the South East because the financial system is so heavily concentrated in London. 34 00:05:58,900 --> 00:06:07,390 So these are the the roles that we're particularly excited to hear Ian talk about. 35 00:06:07,390 --> 00:06:17,980 And on that note, let me hand it to Baroness Wolf, who in her professorial capacity will guide the discussion forward. 36 00:06:17,980 --> 00:06:21,610 Thank you very much. Thank you, everybody. 37 00:06:21,610 --> 00:06:32,140 I thought that it might be helpful to everybody if I started the proceedings off by just giving us a quick history tour. 38 00:06:32,140 --> 00:06:41,350 In a sense, because skills, the need for more skills, whether or not there's a skills crisis, this is something that people talk about constantly. 39 00:06:41,350 --> 00:06:44,480 But it's also very easy to talk past each other. 40 00:06:44,480 --> 00:06:51,910 And also, I think, very easy to miss the fact that while there are some areas where we have major challenges, 41 00:06:51,910 --> 00:06:55,570 there are also some areas where actually we do very well. 42 00:06:55,570 --> 00:07:04,970 And first of all, I think it's quite helpful to go back and be look at what what this country was like not that long ago. 43 00:07:04,970 --> 00:07:08,170 So Parfux have the first slide. 44 00:07:08,170 --> 00:07:17,110 I think it's really important to realise how rapidly this country has changed and the world has changed and the impact this has had, 45 00:07:17,110 --> 00:07:26,160 both on the skills that we need. The infrastructure that provides them, so if you went back in a village just to the 1970s, 46 00:07:26,160 --> 00:07:32,730 a very large proportion of school leavers who left school at 16 and most people did went into apprenticeships. 47 00:07:32,730 --> 00:07:34,990 University was for a tiny minority. 48 00:07:34,990 --> 00:07:41,370 Most professions, which these days of graduate people trained through articles, which was factory of homeless apprenticeship. 49 00:07:41,370 --> 00:07:42,990 And it was a very different world. 50 00:07:42,990 --> 00:07:52,140 I mean, in the context of tonight, our concern about levelling up this was a a more level land manufacturing, manufacturing, employment. 51 00:07:52,140 --> 00:07:54,720 More important, they were much more geographically dispersed. 52 00:07:54,720 --> 00:08:01,950 And also, this was a period when Towns still had, as they had had since the beginning of the century. 53 00:08:01,950 --> 00:08:06,540 Typically what was often known as the tech rather than further education college. 54 00:08:06,540 --> 00:08:12,420 And that was where apprenticeships did. Their apprentices did their off the job training. 55 00:08:12,420 --> 00:08:22,200 This was these were very vocational institutions. And the thing I'd like to emphasise, they were very, very closely linked to local employers. 56 00:08:22,200 --> 00:08:27,840 If you were running such a college, you got some of your income from usually local government, 57 00:08:27,840 --> 00:08:32,040 not central government, but you got a lot of it directly from your local employers. 58 00:08:32,040 --> 00:08:37,980 Now today jumping over a lot of very messy and complicated policy in between. 59 00:08:37,980 --> 00:08:43,620 Apprenticeships are very difficult to obtain the highly desired by many young people that difficult to obtain. 60 00:08:43,620 --> 00:08:48,270 They are better than they were 10 years ago, but they are in short supply. 61 00:08:48,270 --> 00:08:57,000 But what we haven't said is we have a mass higher education system, and I think it's impossible to discuss the challenges of our current skill system 62 00:08:57,000 --> 00:09:01,650 without being aware that we have created a gigantic higher education system, 63 00:09:01,650 --> 00:09:07,950 as have most countries in the world, the developed world. And so we've got about 50 percent of the cohort attending. 64 00:09:07,950 --> 00:09:14,580 That's not where with high in the OECD tables, we're not particularly unusual. 65 00:09:14,580 --> 00:09:22,170 And compared to the 1980s in the nineteen nineties at the same time, adult and part time participation are down. 66 00:09:22,170 --> 00:09:31,740 We've gone to a highly centralised system of and adult education funded by a local by central government managed by central government. 67 00:09:31,740 --> 00:09:37,230 Although there's been some devolution to the mayoral combined authorities and the numbers in these 68 00:09:37,230 --> 00:09:42,900 in in the numbers who are actually taking further and adult education courses has been going down. 69 00:09:42,900 --> 00:09:49,320 And last but by no means least, of course, the economy has been transformed, so manufacturing has declined again. 70 00:09:49,320 --> 00:09:55,410 This is not just this country I, we are no different from, for example, France in this respect, 71 00:09:55,410 --> 00:10:02,670 but our manufacturing has declined and our globally competitive industries are increasingly service industries, 72 00:10:02,670 --> 00:10:06,750 and they're concentrated in a few parts of the country. So this is a massive change. 73 00:10:06,750 --> 00:10:15,720 And I think it's not surprising in many ways that our skills infrastructure has struggled to keep up supply. 74 00:10:15,720 --> 00:10:20,400 So have we had a long standing skills crisis? Well, yes and no. 75 00:10:20,400 --> 00:10:26,880 British governments have been obsessing about Germany since the middle of the 19th century. 76 00:10:26,880 --> 00:10:31,590 It's also true that we have had a huge upheaval in the economy. 77 00:10:31,590 --> 00:10:35,790 Manufacturing shrunk, regional colleges have grown to some extent. 78 00:10:35,790 --> 00:10:39,870 Skills actually make things worse rather than better. 79 00:10:39,870 --> 00:10:43,890 Employers consistently do report major skills shortages, 80 00:10:43,890 --> 00:10:50,070 and the area which has shrunk really dramatically is the area of mid-level technical education. 81 00:10:50,070 --> 00:10:56,130 And that's somewhere where we are really quite distinctive that if you looked at many of our competitor countries, 82 00:10:56,130 --> 00:11:01,670 what one thinks of a sort of technician mid-level. 83 00:11:01,670 --> 00:11:11,570 Skills and courses and provision are very poor, but also we have to be aware that know our economy has continued to grow, 84 00:11:11,570 --> 00:11:16,590 hasn't done very well since the 2008 crash, but we have gone on growing. 85 00:11:16,590 --> 00:11:21,080 You know, it's we are not poor. Quite the opposite. 86 00:11:21,080 --> 00:11:26,750 We are globally competitive in a range of industries and universities are excellent. 87 00:11:26,750 --> 00:11:31,880 They rank extremely high on all measures and they do now educate. 88 00:11:31,880 --> 00:11:38,390 The overwhelming majority of our professions, a few accountants have hung in, but otherwise this is a huge shift. 89 00:11:38,390 --> 00:11:44,000 So, you know, this is skills and on this we are we are doing pretty well. 90 00:11:44,000 --> 00:11:48,020 Next slide. So where are the problems? 91 00:11:48,020 --> 00:11:54,200 Well, if you look at lawyers and designers and economists and research scientists, I mean, no, we don't have a skill shortage. 92 00:11:54,200 --> 00:11:55,280 We're doing pretty well. 93 00:11:55,280 --> 00:12:05,210 We may have short term problems, but lots of competition, everybody chasing the best, but there is no problem in the skill system about it. 94 00:12:05,210 --> 00:12:11,540 We are not good at responding to rapid increases in demand and skill changes. 95 00:12:11,540 --> 00:12:17,480 If you look at the whole digital area again, I'm not saying the rest of the world is doing great either, 96 00:12:17,480 --> 00:12:25,130 but there are genuine, pervasive skill shortages and we don't seem to be very good at responding to them fast. 97 00:12:25,130 --> 00:12:31,220 We have a long standing and worsening shortage of technicians. 98 00:12:31,220 --> 00:12:35,690 We have a severe shortage of what used to be called skilled trades, 99 00:12:35,690 --> 00:12:40,970 cross level three construction, where we've actually set up a sort of vicious circle. 100 00:12:40,970 --> 00:12:48,920 It seems to me where you rely on immigration to solve this and then the school system because again and then you rely on immigration more. 101 00:12:48,920 --> 00:12:52,970 And we also have HGV drivers. But you know, honestly, I don't think that's an issue. 102 00:12:52,970 --> 00:12:55,670 I mean, of course, it's an issue if you're trying to get stuff delivered. 103 00:12:55,670 --> 00:13:00,320 But I think we get too hung up on the idea that everything should happen instantly. 104 00:13:00,320 --> 00:13:06,260 So the skills shortage that's had the most headlines of the time that we're making this podcast is HGV drivers. 105 00:13:06,260 --> 00:13:12,770 I suspect if anybody wants to this in three years time, we'll get what they signed. 106 00:13:12,770 --> 00:13:21,380 But this is what I want to underline as well. We we are doing fine at the top, and in many ways, of course, we could do even better. 107 00:13:21,380 --> 00:13:25,940 But you know, honestly, we're trying to find many of the top and then in the top end skills, 108 00:13:25,940 --> 00:13:31,280 we are not doing well in what's known as non advanced adult education, 109 00:13:31,280 --> 00:13:38,360 and we have been for the rest of the century flatlining at best and getting worse at worst. 110 00:13:38,360 --> 00:13:45,710 So, you know, our apprenticeship numbers, which back in the 1970s were very, very healthy. 111 00:13:45,710 --> 00:13:48,200 You know, there are things that have got better. 112 00:13:48,200 --> 00:13:55,160 If you unpack that a bit, you'll find there are probably too many people who are older and deployees rather than young. 113 00:13:55,160 --> 00:14:00,020 But you know, it's not it's not going off, it's actually going down. 114 00:14:00,020 --> 00:14:12,230 And adult education is also going down. And finally, I think last night, those two slides, we have low levels of investment in skills by employers. 115 00:14:12,230 --> 00:14:20,660 It's an interesting question why, but we do. We had over half of male school leavers entering apprenticeships today. 116 00:14:20,660 --> 00:14:29,180 We have only about five percent of the 18 year old cohort at best, the three percent of last in 2020. 117 00:14:29,180 --> 00:14:37,130 And government surveys show consistent declines in the volume of employment, investment in training and a lot of employers do do is statutory. 118 00:14:37,130 --> 00:14:42,290 And meanwhile, in our university sector, if I could have just the last slide, 119 00:14:42,290 --> 00:14:51,110 we have basically abandoned this mid-level what used to be and the HNC level training barely exists. 120 00:14:51,110 --> 00:14:58,790 We have huge numbers of people doing undergraduate degrees and very large numbers of people doing postgraduate degrees. 121 00:14:58,790 --> 00:15:01,070 And we have a great hold in the middle. 122 00:15:01,070 --> 00:15:11,140 So let me stop that because I think that what that hopefully brings home is the fact that we have a very, very. 123 00:15:11,140 --> 00:15:19,260 Out of kilter system, it's not a total failure, but it's out of kilter and it has. 124 00:15:19,260 --> 00:15:27,450 Got to this point alongside, and I would say it's not been unrelated to the the rapid shifts in the economy that have 125 00:15:27,450 --> 00:15:34,380 actually made a certain number of high skill service industries extremely important, 126 00:15:34,380 --> 00:15:38,730 but where a large number of things, including the skill system, 127 00:15:38,730 --> 00:15:46,380 have not done anything to offset this in areas where the older industries are declining and where we've 128 00:15:46,380 --> 00:15:53,970 had developing this growing divergence between some parts of the country and other parts of the country. 129 00:15:53,970 --> 00:16:00,090 But at the same time, it's not just in those areas that we have a problem because we are also just generally 130 00:16:00,090 --> 00:16:06,480 facing a situation in which there are real skill shortages and a key part of the economy. 131 00:16:06,480 --> 00:16:12,420 And the thing that is most evident, at least to me, is this I would always say flight from, 132 00:16:12,420 --> 00:16:23,310 but certainly an ability to deal with the need for people who are really very skilled but not best served by trading in universities. 133 00:16:23,310 --> 00:16:31,950 And those are also the skills which tend to be very, very closely linked to changes, 134 00:16:31,950 --> 00:16:35,730 often quite rapid changes in the technology and requirements of employers. 135 00:16:35,730 --> 00:16:42,780 And one of the things that strikes me most is this contrast between, you know, 136 00:16:42,780 --> 00:16:48,810 not a utopian past for the past in which our system was much more closely linked to local employer, 137 00:16:48,810 --> 00:16:59,850 local employer needs and looking towards mom than it is today. And the fact that those are the sorts of jobs which people use to. 138 00:16:59,850 --> 00:17:05,890 Effectively pay for the training cells, and with those are now. 139 00:17:05,890 --> 00:17:11,730 The training is paid for by government if it's paid for Toll. A lot of the time is not paid for a toll. 140 00:17:11,730 --> 00:17:17,520 So I'd like at this point to to turn to my two experts on my left. 141 00:17:17,520 --> 00:17:25,500 Chris, first and and and and particularly sort of interested in your perspective because you. 142 00:17:25,500 --> 00:17:29,760 Run attempt to run a very, very large university, and we both work in Mecca. 143 00:17:29,760 --> 00:17:37,620 Your arrest is one that has that started off with a very, very specific vocational orientation, 144 00:17:37,620 --> 00:17:43,620 has has developed over time and is very plugged into its its locality. 145 00:17:43,620 --> 00:17:49,200 And I'd like to ask first, Chris from that perspective and then in from the perspective, 146 00:17:49,200 --> 00:17:56,310 an employer working across the across the country, but but also still retaining some presence in the southeast. 147 00:17:56,310 --> 00:18:02,340 I think, you know, looking at this, looking at the scene here, first of all, 148 00:18:02,340 --> 00:18:08,340 do do you agree with with my basic diagnosis that we have a top off that's functioning? 149 00:18:08,340 --> 00:18:12,520 Not perfectly. I mean, I could expand four hours on the problems with universities, 150 00:18:12,520 --> 00:18:17,940 but but functioning pretty well and driving driving the prosperity that has been 151 00:18:17,940 --> 00:18:25,770 genuine in decades and another bit which is really not functioning well and above all, 152 00:18:25,770 --> 00:18:30,610 not serving local needs. So, Alison, thank you very much. 153 00:18:30,610 --> 00:18:39,600 I'm always struck whenever I listen to you, but by how much I agree with your analysis, I think that's broadly right. 154 00:18:39,600 --> 00:18:46,440 I'm going to just try and take in two or three directions to point out the analysis. 155 00:18:46,440 --> 00:18:48,690 I think there are some slightly different things going on here. 156 00:18:48,690 --> 00:18:59,430 We have made some national policy decisions, which I think have not helped, and they've not necessarily been the major drivers here. 157 00:18:59,430 --> 00:19:06,660 But at a time when the economy is changing, they've not helped. So for, for example, 158 00:19:06,660 --> 00:19:17,100 the 2012 sea settlement for universities makes it very difficult for students to borrow for less than a three year undergraduate programme. 159 00:19:17,100 --> 00:19:25,550 So, so and what we what we saw after 2012 was this massive collapse in part time participation in higher education. 160 00:19:25,550 --> 00:19:32,700 So think of that as a reduction in flexibility. And I think that's it was David Willetts, who was the architect of the reforms, 161 00:19:32,700 --> 00:19:37,650 says that that was an unintended consequence and he's right about that. 162 00:19:37,650 --> 00:19:47,280 And I think that we're saying, you're right to say that the problem is not in the in the top half of the system, that by and large, 163 00:19:47,280 --> 00:19:52,230 the university system is functioning well, has responded to market signals as regards this, 164 00:19:52,230 --> 00:19:55,500 but it seems invasive, perhaps a bit less flexible they should be. 165 00:19:55,500 --> 00:20:01,440 But by and large is working well for me, the real difficulties white light in three areas. 166 00:20:01,440 --> 00:20:07,980 The first is if we look at the sectors of the economy where you identify skill shortages, they're quite different. 167 00:20:07,980 --> 00:20:19,590 So in digital, it's absolutely clear that the the the economy is moving faster than the capacity of this or any skill system to respond to it. 168 00:20:19,590 --> 00:20:24,870 And that's a real challenge for skill systems in this country and internationally. 169 00:20:24,870 --> 00:20:32,130 And it probably means we need to rethink really hard about what's the vehicle for the delivery of skills and a very fast moving parts of the economy. 170 00:20:32,130 --> 00:20:34,400 I don't think the same applies in engineering. 171 00:20:34,400 --> 00:20:40,710 I certainly don't think the same applies in construction, but a bit in construction with some of the intelligent construction work. 172 00:20:40,710 --> 00:20:51,840 Not entirely. So there's a big problem there. There's a second absolutely enormous problem, which is more character, more unique to this country, 173 00:20:51,840 --> 00:21:00,420 which is this if you happen to be academically able young person your route through the 174 00:21:00,420 --> 00:21:07,410 school school system is clearly mapped out as his GCSE and A-level at his university, 175 00:21:07,410 --> 00:21:13,890 if you will, different in any respect. The system is not clear, 176 00:21:13,890 --> 00:21:24,480 and the routes through the system for the I'm going to use the phrase bottom 50 percent for the low retaining 50 percent are less clear. 177 00:21:24,480 --> 00:21:29,790 And what is particularly challenging is that they become even less clear. 178 00:21:29,790 --> 00:21:36,360 The lower down that distribution you are. And that's just a crazy way of constructing a system. 179 00:21:36,360 --> 00:21:42,540 It ought to be the other way around the academically most attaining what have the most difficult route because they're the most able to navigate it. 180 00:21:42,540 --> 00:21:48,870 And the academic elite, the least able should have the clearest, clearest route through the third bit is that, as you said, 181 00:21:48,870 --> 00:22:00,210 we we used to have a system which was well structured around tax free collisions, as we now call them around polytechnics and universities. 182 00:22:00,210 --> 00:22:07,860 And we have, by and large an institutional structure that is geared for an economy that no longer exists. 183 00:22:07,860 --> 00:22:12,060 Now digging our way out of that, there's not a single route out of it. 184 00:22:12,060 --> 00:22:19,800 But I think holding those three different problems in our heads is partly what we need to do. 185 00:22:19,800 --> 00:22:23,580 Very much in. Over to you. 186 00:22:23,580 --> 00:22:34,560 Do you recognise these problems and as an employer hiring, not across the whole spectrum because there are obviously a lot of jobs you don't have. 187 00:22:34,560 --> 00:22:39,750 Is there something that you recognise and all that institutional changes we should be making? 188 00:22:39,750 --> 00:22:44,820 Or where would you start at a grand plan or even a local plan? 189 00:22:44,820 --> 00:22:46,200 Well, thanks very much, Alison. 190 00:22:46,200 --> 00:22:52,200 I really enjoyed your slides and it's quite funny because of a couple of pieces there that really resonate with me personally. 191 00:22:52,200 --> 00:22:56,730 So I left school at a very young age and went into technical college. 192 00:22:56,730 --> 00:23:00,280 I went to night school to get my qualifications. 193 00:23:00,280 --> 00:23:07,470 I was a technical college and it was it was a really good establishment and I think it's a good establishment and it was very helpful to me. 194 00:23:07,470 --> 00:23:16,200 But it was all mature students that were there. It was it was people who were in their 20s, 30s and older who were there for further education. 195 00:23:16,200 --> 00:23:26,040 And it's interesting what you're saying about that because my motto if you if you've got an academic background or parents that push you now, 196 00:23:26,040 --> 00:23:33,750 there's a big part of your own parents as well on parenting about how you're pushed in a certain direction and it is very clearly mapped out for you. 197 00:23:33,750 --> 00:23:39,360 And then you've got this huge population who it's obviously not so well, not too far. 198 00:23:39,360 --> 00:23:48,630 But let me tell you what we try and do as a business. If you could get in quite deep here about are you getting taught the right things at schools? 199 00:23:48,630 --> 00:23:52,620 But the first thing I look for when I'm employing is a really good attitude, 200 00:23:52,620 --> 00:23:59,760 and I think a really good attitude is crucial for us because what we end up getting is we get a very nice canvas and buy a canvas. 201 00:23:59,760 --> 00:24:00,570 I mean, 202 00:24:00,570 --> 00:24:09,270 generally well-educated people and we take people very young who we would bring into our apprenticeship programmes and we've got graduate programmes, 203 00:24:09,270 --> 00:24:13,890 et cetera. But first and foremost, I would say that is the canvas. 204 00:24:13,890 --> 00:24:21,510 And then we spend years putting layers and layers of paint on that canvas by doing our own in-house training and development. 205 00:24:21,510 --> 00:24:30,420 And some of the things that we train on today are a complete mind shift from where we used to what we used to focus our training on. 206 00:24:30,420 --> 00:24:39,090 So we will train today, people on resilience. I don't know for people in the room or people watching, but if you're if you're in your 50s, as I am, 207 00:24:39,090 --> 00:24:43,290 you know, nobody ever taught me anything on resilience that was just something that was never done. 208 00:24:43,290 --> 00:24:48,630 We train people in empathy because we think empathy is a really important skill nowadays. 209 00:24:48,630 --> 00:24:54,540 So the skills that we're training people in are very, very different to what was maybe done before. 210 00:24:54,540 --> 00:25:00,660 I really take on board a point by which just on speed, the world operates around speed now, 211 00:25:00,660 --> 00:25:09,270 and that causes all sorts of problems because we move billions of currency around the globe every single day. 212 00:25:09,270 --> 00:25:15,420 But it's a frozen of paradise, so we've got to train people to spot fraudsters operating as well. 213 00:25:15,420 --> 00:25:21,270 These were these were things that even 10 years ago were not in our banking environment. 214 00:25:21,270 --> 00:25:28,390 And of course, with the much less use of cash than traditional ways of being educated, 215 00:25:28,390 --> 00:25:37,030 the Bank three was really the tail or work in a bank is diluted quite low over recent years. 216 00:25:37,030 --> 00:25:45,890 What we've got to think about going forward, I think, is the needs of our customers and what are going to be there needs going forward. 217 00:25:45,890 --> 00:25:48,670 And you have to train for those needs. 218 00:25:48,670 --> 00:25:55,280 And if I if I was really, really clever, I would tell you what those needs are going to be over the next 20 years. 219 00:25:55,280 --> 00:26:00,790 Of course, we can't do that. So you're always trying to second guess what the needs are going to be. 220 00:26:00,790 --> 00:26:07,420 But certainly in my industry, they will be quite different to what we are 20 years in the past. 221 00:26:07,420 --> 00:26:11,810 But people are still going to want to buy a home if we still want to be insured. 222 00:26:11,810 --> 00:26:14,440 They're still going to want health policies. 223 00:26:14,440 --> 00:26:21,670 All in all, the sort of basic products I think will still be with us, but they'll be quite different and they'll want these products immediately. 224 00:26:21,670 --> 00:26:28,960 So. So it's how you deliver products in a very safe way at the time that the customers want it. 225 00:26:28,960 --> 00:26:38,130 So the skills that I need are quite technical. I'm very struck by two two things that you as well. 226 00:26:38,130 --> 00:26:44,470 I want to start by being something which since you both said I think in different ways, Chris, 227 00:26:44,470 --> 00:26:52,610 you were talking about the fact that when things move very fast, it's really hard for any organised skill system to keep up with them. 228 00:26:52,610 --> 00:27:00,560 And I think that's right, because first of all, organised school systems are inherently bureaucratic and that's just that's just the case. 229 00:27:00,560 --> 00:27:09,970 I mean, if we go back to to the favourite favourite preoccupation of this country since, you know, since the great tech special, how to do it. 230 00:27:09,970 --> 00:27:15,500 But you know, if you're going to have an organised skill system with. 231 00:27:15,500 --> 00:27:22,490 And the thing which produces qualifications or licences or anything of the sort and which has public money in it, 232 00:27:22,490 --> 00:27:31,310 particularly in this day of extreme accountability, you end up with something which is often very high quality, but often actually quite rigid. 233 00:27:31,310 --> 00:27:32,510 And I think you're right. 234 00:27:32,510 --> 00:27:41,110 I think you see if you take the examples that I had, which is sort of rapidly changing versus things where there's a clear skill set, 235 00:27:41,110 --> 00:27:45,200 we just don't have enough of them engineering technicians, plumbers, whatever. 236 00:27:45,200 --> 00:27:53,930 I think they all different. And what you were talking about in this large company, which does do a very great deal of training, 237 00:27:53,930 --> 00:28:00,710 it has to and it's a quick two and and it does it now. 238 00:28:00,710 --> 00:28:07,310 One of the things, which is very depressing and, you know, pretty clearly established, 239 00:28:07,310 --> 00:28:11,880 is that the employers in this country do not spend on average a lot of training. 240 00:28:11,880 --> 00:28:17,410 They don't spend a great deal and. I think there are probably a number of reasons for this. 241 00:28:17,410 --> 00:28:21,600 Some, some good, some bad, but there will always be good reasons. 242 00:28:21,600 --> 00:28:28,660 And so I think that, you know, thinking then not just about a huge and successful company like yours, 243 00:28:28,660 --> 00:28:37,300 but thinking about smaller and smaller companies, smaller organisations, some of which may be very small, some of which will be sort of mid-sized. 244 00:28:37,300 --> 00:28:43,060 How do we make it possible for them to to to keep up to date? 245 00:28:43,060 --> 00:28:48,520 I think this is the highly related also tipped to pull your your preoccupation, not preoccupation. 246 00:28:48,520 --> 00:28:49,780 But you know what this is all about. 247 00:28:49,780 --> 00:29:01,370 If you're going to level up, then then there is a real challenge for companies and employers in small places who are also in, you know, small. 248 00:29:01,370 --> 00:29:08,570 Medium. Moderately large, but not large companies, because you are busy keeping yourself alive. 249 00:29:08,570 --> 00:29:12,500 Is he keeping your self employed? Your first duty is to keep it. 250 00:29:12,500 --> 00:29:16,730 Keep the thing working, keep keep your staff employed, 251 00:29:16,730 --> 00:29:26,420 keep your customers up and actually generating training that keeps you up to date with the rapidly changing economies is very hard, 252 00:29:26,420 --> 00:29:33,350 and I would like to come back in later to the issue of how do we actually make technical, 253 00:29:33,350 --> 00:29:38,390 further education colleges more overtly linked into into local employers. 254 00:29:38,390 --> 00:29:49,060 But. What I think comes out very clearly from what you have both said is that the has to a successful company, 255 00:29:49,060 --> 00:29:58,030 however tiny has to change, has to train, has to be know what it is that's going on out there and has to move with it. 256 00:29:58,030 --> 00:30:05,310 And I do think that's hard and I'm just to tell a couple of and some slightly depressing anecdotes, if you like. 257 00:30:05,310 --> 00:30:13,750 A couple of years ago, I did some quite interesting focus groups with small companies asking much about digital skills. 258 00:30:13,750 --> 00:30:16,060 These were these were successful small companies. 259 00:30:16,060 --> 00:30:24,290 On average, they would be employing sort of 10 to 15 people could be a couple of coffee shops, could be a travel agency, if not mostly manufacturing. 260 00:30:24,290 --> 00:30:30,790 That was a small manufacturing company. And I think that I thought they were they were good. 261 00:30:30,790 --> 00:30:37,780 They were good. But except when it was statutory, they didn't really try much. 262 00:30:37,780 --> 00:30:41,690 And partly it was because they would just say they weren't going fast. 263 00:30:41,690 --> 00:30:47,890 They were managing, they were doing OK. I think partly it was that particular small company. 264 00:30:47,890 --> 00:30:52,570 It's very hard to just release people and send them off for a course. I mean, you know, you have to keep the price up. 265 00:30:52,570 --> 00:30:59,800 And it was partly that they they just didn't really know how to start what it was that they should be doing. 266 00:30:59,800 --> 00:31:07,080 So they think they chucked on. So what do we do? 267 00:31:07,080 --> 00:31:14,480 I. Well, you get those. Well, I think one of the so many sad things about the pandemic, 268 00:31:14,480 --> 00:31:20,390 but one of the great things about the pandemic is how well take no technology has walked has been phenomenal. 269 00:31:20,390 --> 00:31:28,570 Well, it's what we we've got two hundred and forty thousand employees globally, and I think we had 230000 working from home within about three weeks. 270 00:31:28,570 --> 00:31:31,520 So it was unbelievable how well technology work. 271 00:31:31,520 --> 00:31:39,740 I've got, of course, here in this house, I might be miles along with this, but I I think we're going to move in a very different place. 272 00:31:39,740 --> 00:31:45,290 And I hope we do because society needs this. And it's what it's one very simple world, which is sheer. 273 00:31:45,290 --> 00:31:53,390 I I think there's an absolute need for a bank the size of us to share an alarming out. 274 00:31:53,390 --> 00:31:57,950 And I think with technology, you know, you can do that much more easily. 275 00:31:57,950 --> 00:32:01,460 And I think what you saw through the pandemic is, you know, 276 00:32:01,460 --> 00:32:07,940 when people are putting their minds together to come up with a drug to to get us through this very difficult period, 277 00:32:07,940 --> 00:32:11,900 hundreds of thousands of people came together for the greater good. 278 00:32:11,900 --> 00:32:18,680 And I genuinely believe people like us who have got the infrastructure, we have got the capabilities. 279 00:32:18,680 --> 00:32:26,210 We've we've got to share that with small businesses because if you think about the UK and the UK is a very interesting market. 280 00:32:26,210 --> 00:32:36,020 Six million businesses in the UK five point seventy five point eight million are small businesses, of which 5.5 million are owner operated. 281 00:32:36,020 --> 00:32:41,270 So one person, you know, so it's it really is this movement of people. 282 00:32:41,270 --> 00:32:48,260 They don't have time to go and do all these other things they would like to do, but they they can spare an hour to go online. 283 00:32:48,260 --> 00:32:53,870 In the evening, they can find time to dial into an information session. 284 00:32:53,870 --> 00:32:58,010 Companies like us have got to share all this technical knowledge that we've got 285 00:32:58,010 --> 00:33:02,660 to allow others to expand and we just have to stop put our arms around it. 286 00:33:02,660 --> 00:33:08,160 And I think that would be a major step forward. We should do it for society if nothing else. 287 00:33:08,160 --> 00:33:14,660 And is there anything that would encourage perhaps less civic minded CEOs than you to do it? 288 00:33:14,660 --> 00:33:21,050 I think people are beginning to learn the lesson. The biggest one that's going to change over the next 20 years is climate. 289 00:33:21,050 --> 00:33:24,140 What all finding are we on climate? I was in Glasgow last week. 290 00:33:24,140 --> 00:33:32,930 It called I was hugely energised by the quality of the conversation, but I really did get the feeling of of we have to share. 291 00:33:32,930 --> 00:33:40,560 And there was one topic that came out in the, I would say, the suburbs of the conversation and that was around food. 292 00:33:40,560 --> 00:33:45,090 And the golden rule of a government, any government is you must feed your population. 293 00:33:45,090 --> 00:33:48,810 And there was an awful lot of conversation about food shortages coming. 294 00:33:48,810 --> 00:33:54,090 We have to share the knowledge to make sure we feed our population has nothing to do with a bank really evolving. 295 00:33:54,090 --> 00:34:00,250 It was a very instance out conversations that companies last week. 296 00:34:00,250 --> 00:34:07,960 So I'm going to pick up all of that, which went out before the pandemic, when I have my job involved in travelling a lot, 297 00:34:07,960 --> 00:34:15,760 every time I get off a plane in the airport, I saw that fuel bank, which invariably set the world's local bank. 298 00:34:15,760 --> 00:34:21,460 And I think there is. It may not be your flight anymore, but there is something around there. 299 00:34:21,460 --> 00:34:25,840 The problem that you identified is a multifaceted problem. There's no big solution to it. 300 00:34:25,840 --> 00:34:28,090 There may be a series of local solutions, 301 00:34:28,090 --> 00:34:35,860 and you get to slightly different places depending on whether you start from a business, a skills provider, a young person. 302 00:34:35,860 --> 00:34:41,020 So I think I think there's not a big answer to this Suzanne answer. 303 00:34:41,020 --> 00:34:47,110 Well, there is an answer that works for digital and for engineering and for TV and for vehicles, 304 00:34:47,110 --> 00:34:53,440 but it takes you down the road of a highly regulated skill system, and then they're all inflexibility flexibility in that. 305 00:34:53,440 --> 00:34:55,540 I can only on this talk about, 306 00:34:55,540 --> 00:35:06,190 and Paul invited me to do so the things that we do as a university and we're a university operating in a city region of 45000 SMEs. 307 00:35:06,190 --> 00:35:15,610 So we we run something called our AI lab, which is really about giving students within university opportunities to start their own business, 308 00:35:15,610 --> 00:35:17,920 and we will give them lots of support on that. 309 00:35:17,920 --> 00:35:28,060 We've been the Sheffield Innovation Programme that provides skills and innovation development to now several hundred Sheffield City Region SMEs. 310 00:35:28,060 --> 00:35:32,530 Every department in my university has an employer advisory board is there to 311 00:35:32,530 --> 00:35:38,200 make sure that the curriculum we offer is as industry focussed as it can be. 312 00:35:38,200 --> 00:35:46,000 Every degree programme in every subject in the university has work related learning and work experience embedded at every level, 313 00:35:46,000 --> 00:35:51,130 trying to shorten the lines between the skills provider and the market out there. 314 00:35:51,130 --> 00:35:54,970 Is that enough? No, it is not. Is that hard work? 315 00:35:54,970 --> 00:35:58,570 Yes, it is. But we have to find ways. I think it is. 316 00:35:58,570 --> 00:36:03,460 If that's the word sharing, it is about bringing together the supply side and the demand side. 317 00:36:03,460 --> 00:36:11,940 It is productive and creating relationships as possible, accepting that there is not going to be a single solution that works in every sector. 318 00:36:11,940 --> 00:36:20,830 OK, so sitting here and listening to you guys, it sounds like it should be all fine because, you know, 319 00:36:20,830 --> 00:36:31,720 we've got civic minded employers who are ready to share and, you know, making universities which are plugged into their local economy. 320 00:36:31,720 --> 00:36:35,770 So. So what is going wrong? 321 00:36:35,770 --> 00:36:38,970 Oh, so, so so so I want to go back if I can. 322 00:36:38,970 --> 00:36:46,720 So I think one thing on your slide where I think you're slightly longer 50 percent of the cohort participating. 323 00:36:46,720 --> 00:36:50,110 So I think the the 18 year old participation in a tree is about thirty eight. 324 00:36:50,110 --> 00:36:56,600 Thirty nine percent. In this country, 50 percent will will happen at some point. 325 00:36:56,600 --> 00:37:00,160 The distinctions I'm sorry to sound slightly academic about this because that 326 00:37:00,160 --> 00:37:04,000 means that the 60 percent of the population that universities are not getting to, 327 00:37:04,000 --> 00:37:14,590 however, will get and they may be. So there's something what is happening to the to the to the layers below the higher education population. 328 00:37:14,590 --> 00:37:20,800 And that's a big challenge. And that's where I think the skills, architecture, institutional architecture is very weak. 329 00:37:20,800 --> 00:37:26,080 You showed the declining participation over the over the last few years. 330 00:37:26,080 --> 00:37:33,730 That map for that graph would look pretty similar if that was the unit of resource in SC, which has also declined markedly. 331 00:37:33,730 --> 00:37:40,150 And so you've got very, very stressed institutions that are really, really struggling. 332 00:37:40,150 --> 00:37:44,930 So I think if we if we want to go back, it's the. Does that something is wrong? 333 00:37:44,930 --> 00:37:49,610 Yes, it does, it does. It is not top black line. 334 00:37:49,610 --> 00:37:53,510 If I say that three, well, that's the decline in the units of resource. 335 00:37:53,510 --> 00:38:05,090 So we have significantly stressed parts of the skill system, which we absolutely need if we're going to be delivering on those mid-level skills. 336 00:38:05,090 --> 00:38:12,350 And we're not A.I.M. technically, but we're not then articulating the relationships between different parts of the skill system. 337 00:38:12,350 --> 00:38:16,430 So you get into the track that leads you to university and it's a trend line. 338 00:38:16,430 --> 00:38:21,080 You get into the track that doesn't lead you to university and it's also a tremlett. 339 00:38:21,080 --> 00:38:26,960 And that doesn't make very much sense in a world in which the skill demands are changing quickly 340 00:38:26,960 --> 00:38:31,850 and jobs are going to change three four five six times in the course of a working life. 341 00:38:31,850 --> 00:38:38,060 So for me, that's the place that needs focus. We've got a system, we've got parts of the system that are significantly stressed. 342 00:38:38,060 --> 00:38:45,070 They need to be distressed and we need to articulate better the relationships between different parts of the system. 343 00:38:45,070 --> 00:38:52,300 Nice follow through on that, because it's really a question also for free, and so suppose you are an employer, 344 00:38:52,300 --> 00:39:06,970 possibly in Birmingham or Sheffield, but possibly somewhere where smaller and you are finding it very hard to get really good skilled employees. 345 00:39:06,970 --> 00:39:13,870 Know, obviously attitude matters. But but truthfully, it's not the only thing that matters, is it? 346 00:39:13,870 --> 00:39:18,640 So you'll find it very you're finding it very hard. 347 00:39:18,640 --> 00:39:27,610 Where would you feel you could go for help in in actually identifying people who were coming through with the relevant 348 00:39:27,610 --> 00:39:34,360 skills that might then come and apply to you or even to put on something which special a medium sized employer, 349 00:39:34,360 --> 00:39:35,650 but rather than a very big one, 350 00:39:35,650 --> 00:39:41,980 it was part of the country where you have a relatively small footprint who would actually be able to to to do something more substantial for you. 351 00:39:41,980 --> 00:39:47,980 I mean, where would be your first port of call? Well, I think I think we've got to be very honest with ourselves. 352 00:39:47,980 --> 00:39:51,220 Some people just will not move to another part of the world. 353 00:39:51,220 --> 00:39:56,500 So, I mean, if you look at what's happening with BBC right now, you're trying to move their colleagues to Manchester. 354 00:39:56,500 --> 00:40:06,010 You read about it, but we're not moving. When we moved out in UK head office from London to Birmingham, we moved twelve hundred roles. 355 00:40:06,010 --> 00:40:09,850 We did not leave twelve hundred people. We moved about 100 people. 356 00:40:09,850 --> 00:40:15,650 Let's be honest, OK, that's how many people wanted to go because they didn't want to move outside London. 357 00:40:15,650 --> 00:40:22,240 It was just as I've worked in London, all the jobs in London and central, which means you've really got to start planning. 358 00:40:22,240 --> 00:40:27,250 We started planning about four years ago and if there was a rule that we knew 359 00:40:27,250 --> 00:40:31,510 was going to be in Birmingham in the future rather than recruit into London, 360 00:40:31,510 --> 00:40:34,150 we recruited into Birmingham. 361 00:40:34,150 --> 00:40:40,870 And that was a bit clunky for a period of time because people wanted to be in this head office environment and they weren't. 362 00:40:40,870 --> 00:40:45,340 They were they were somewhere else until the head office came to them. 363 00:40:45,340 --> 00:40:49,960 I think what it gets slightly more difficult. And if I think about the part of the world that I grew up and I grew up in, 364 00:40:49,960 --> 00:40:58,990 a village of twelve hundred people gained a certain skill set is quite difficult because people maybe did not want to work there. 365 00:40:58,990 --> 00:41:07,750 This is of technology I think is a huge enabler. You can you can dial in, you can go online, you can get some of the skills. 366 00:41:07,750 --> 00:41:12,730 But at some point you've also got to be quite brave and say this if it's manufacturing, 367 00:41:12,730 --> 00:41:19,210 if it's if it's services, you may have to uproot yourself to go to where the skills are. 368 00:41:19,210 --> 00:41:22,630 And I think a lot of people are quite against that. 369 00:41:22,630 --> 00:41:30,340 But there is a reality check at some point we are is just not going to happen in the part of the world that you're in, and that's quite difficult. 370 00:41:30,340 --> 00:41:34,600 But I think it is reality. I mean, you've got Birmingham. 371 00:41:34,600 --> 00:41:46,720 I mean, Birmingham is also, you know, a pretty big place. I mean, or Sheffield, I mean, my sense is that's probably not really hugely problematic. 372 00:41:46,720 --> 00:41:52,540 Am I wrong? We've got we've got banking Chester in the North West, we've got a in Leeds as well. 373 00:41:52,540 --> 00:41:57,490 So the one of the reasons we went to Birmingham was we didn't want to cannibalise talent in some of these other places. 374 00:41:57,490 --> 00:42:03,550 I mean, we have to be sensible about this. Let me just because I asked a lot by journalists, Oh, why don't you move the ball? 375 00:42:03,550 --> 00:42:09,700 And we never get the talent that is very insulting. OK, it is very, very insulting. 376 00:42:09,700 --> 00:42:15,160 Oh, we have I. No. Well, I'll caveat that we've had no problem getting talent generally. 377 00:42:15,160 --> 00:42:25,840 We've had a couple of pockets where it's been quite difficult. So if if I loo Typekit marketing, for example, and we don't have a huge marketing team, 378 00:42:25,840 --> 00:42:31,930 but getting marketing people in Birmingham for whatever reason is quite difficult because there's a real hotbed of it in London. 379 00:42:31,930 --> 00:42:42,490 But please don't tell me you won't get talent in Birmingham. We manage to hire amazing talent of amazing talent and in Leeds and in Chester, 380 00:42:42,490 --> 00:42:49,780 and we've got 3000 people in Sheffield and which you believe it the most. The biggest area of expertise in Sheffield is digital. 381 00:42:49,780 --> 00:42:53,950 So a real techies are in Sheffield, so thank you very much. 382 00:42:53,950 --> 00:42:59,130 That chief technology officer. Well, you know, 383 00:42:59,130 --> 00:43:05,500 but you have if you want really specialist skills and you've got to know on your doorstep 384 00:43:05,500 --> 00:43:10,450 that you've got quite cold features coming into you and that's the education establishment. 385 00:43:10,450 --> 00:43:12,460 We are very lucky in the UK. 386 00:43:12,460 --> 00:43:22,300 We're privileged to live in a country like the UK where there's an abundance of education establishments who produce highly talented individuals. 387 00:43:22,300 --> 00:43:30,100 We've we've just not been as good maybe in the last few years because banking is not as attractive it maybe as it once was. 388 00:43:30,100 --> 00:43:32,650 I think it's an incredibly attractive industry, but I would say that. 389 00:43:32,650 --> 00:43:40,060 But you know, you're competing now with big media companies, et cetera, who who offer employees something slightly differently. 390 00:43:40,060 --> 00:43:44,230 So we've got to compete for that talent, and that's what it gets more difficult for. 391 00:43:44,230 --> 00:43:49,390 SMEs is competing for that town. I was going to say this is. 392 00:43:49,390 --> 00:43:52,360 It's a real issue, and I think it's an incredibly difficult issue. 393 00:43:52,360 --> 00:43:57,160 And I mean, we're talking about skills, but it's also just, you know, other people competing for those skills. 394 00:43:57,160 --> 00:44:05,720 So. So I mean, I think this is a real challenge. And let me push Chris a bit and actually pause you because you said that there are a large, 395 00:44:05,720 --> 00:44:10,570 you know, the the you're saying we've got a wealth of institutions. 396 00:44:10,570 --> 00:44:12,100 But earlier you said, Chris, 397 00:44:12,100 --> 00:44:18,550 I think maybe I misjudged you that you thought the institutional structure was wrong since you show structural was actually just the funding. 398 00:44:18,550 --> 00:44:21,760 That's wrong. Well, that's OK. You're right. 399 00:44:21,760 --> 00:44:31,330 I I think I said that the positive change of institutional structure was stressed, and I think that there are ways in which we could, 400 00:44:31,330 --> 00:44:39,370 with relatively small amounts of funding, dries much better collaboration across across different institutions. 401 00:44:39,370 --> 00:44:43,030 And the experience over the last 20 years is relatively small. 402 00:44:43,030 --> 00:44:49,060 Amounts of money that are tied to specific outcomes of specific collaboration can drive change pretty quickly. 403 00:44:49,060 --> 00:44:53,560 So I think that that's that's where I'd look because I think that building a new set of 404 00:44:53,560 --> 00:45:00,700 institutions is back to the old problem that the economy changes faster than you take. 405 00:45:00,700 --> 00:45:09,010 So smaller towns which are which will normally some of them have even lost a college because most of it will still have a college. 406 00:45:09,010 --> 00:45:14,320 And so then the question becomes, how do you how do you keep those colleges up to date? 407 00:45:14,320 --> 00:45:22,650 And that's a real challenge because they're small and the there is, I think technology will take you so far. 408 00:45:22,650 --> 00:45:28,510 But but if you are sort of. 409 00:45:28,510 --> 00:45:32,720 Working an institution which is not part of a major city. 410 00:45:32,720 --> 00:45:37,020 Yeah, it's it's there's a limit to how far you can go. Get the collaboration. 411 00:45:37,020 --> 00:45:49,630 Oh, I've got two different answers and one involves a brief anecdote is quite interesting because before we went off to work, 412 00:45:49,630 --> 00:45:59,080 so had the National Trust have one of these time capsule houses, somebody that lived there from 1910 through to 1950. 413 00:45:59,080 --> 00:46:03,310 And when the National Trust took it out on me, it was as it was. 414 00:46:03,310 --> 00:46:13,710 And in the visitor centre, there are lots of photographs of Worksop in 1910, and it's a really vibrant economy. 415 00:46:13,710 --> 00:46:19,690 You know, there are lots of independent shops on the high streets. There are local manufacturers. 416 00:46:19,690 --> 00:46:27,430 And so one of the things that is framed as a problem in towns is not simply the collapse of the Chinese in the school system. 417 00:46:27,430 --> 00:46:32,840 It's the really significant shifts in the economy, and that's that's a massive challenge. 418 00:46:32,840 --> 00:46:42,490 So in one sense, you know that we can re-energise the skills providers in a challenged small towns, 419 00:46:42,490 --> 00:46:47,830 but without the vibrant economy, you'll be pushing things uphill. 420 00:46:47,830 --> 00:46:50,530 Which leads me to my second anecdote and then my general point. 421 00:46:50,530 --> 00:46:58,930 Alison, you told me to read an absolutely fabulous book about Janesville in southern Wisconsin, and it is fantastic. 422 00:46:58,930 --> 00:47:03,880 And the story in Janesville is that the local food fight plant closes in 2007. 423 00:47:03,880 --> 00:47:08,350 At the time of the crash, the federal and state governments do everything right. 424 00:47:08,350 --> 00:47:14,500 They are pouring money to skills and training, and the book traces the trajectories of families, 425 00:47:14,500 --> 00:47:24,070 and the investment in skills has almost zero effect because there is no way for the skills to be used. 426 00:47:24,070 --> 00:47:26,920 But I think the demand does not come from the local employers. 427 00:47:26,920 --> 00:47:32,290 It comes from from, you know, from some big institutions that want to do well by people. 428 00:47:32,290 --> 00:47:34,280 Absolutely. Absolutely. 429 00:47:34,280 --> 00:47:42,040 So, so, so so there's something around skills supply, but there's something bigger or as big about the way local local economies work. 430 00:47:42,040 --> 00:47:46,010 How do you solve that problem? Well, you might have said you can't solve it. 431 00:47:46,010 --> 00:47:50,380 How do you reduce the problem? I think you have to get small institutions to pool risk. 432 00:47:50,380 --> 00:47:54,850 So it's collaboration. It's about shared training is about shared update. 433 00:47:54,850 --> 00:48:02,320 So that collaborative course development is gearing the system to accommodate the problem that you've got in those institutions. 434 00:48:02,320 --> 00:48:07,600 I think that's very interesting. And I think that's right. Yes, I did indeed tell you to to to to read that book. 435 00:48:07,600 --> 00:48:11,740 It's very, very depressing and amazingly insightful. 436 00:48:11,740 --> 00:48:15,530 I believe they just just this brilliant, brilliant analysis. 437 00:48:15,530 --> 00:48:21,220 But I think you're right, and it comes back to the point that I was making at the beginning anyway, which, you know, I don't want. 438 00:48:21,220 --> 00:48:29,110 I don't want to idealise. But but I didn't grow up in a village of 500 people that I grew up in the small town of 17000. 439 00:48:29,110 --> 00:48:35,450 And, you know, when I was a child to be know the were. 440 00:48:35,450 --> 00:48:44,490 There were lots more businesses and lots more sort of locally focussed employers, and they were. 441 00:48:44,490 --> 00:48:48,720 Very involved with the local tech, I mean, they were having I started working on skills, 442 00:48:48,720 --> 00:48:55,080 I kind of went to cross-examine my parents said, you know, by remembering this right? 443 00:48:55,080 --> 00:49:02,070 So how and I think this is also about risk sharing. Of course, there's a real risk sharing element that this was this was how they grew up. 444 00:49:02,070 --> 00:49:07,410 They grew up in a shared environments for training above all apprentices in those days. 445 00:49:07,410 --> 00:49:12,600 But but but generally, how? How might we recreate that? 446 00:49:12,600 --> 00:49:19,920 I mean, because that doesn't take away what you were talking about in which is the need to to share what is going on in the outside world. 447 00:49:19,920 --> 00:49:28,170 But how how might we try to to to actually recreate that it will transform the economy, 448 00:49:28,170 --> 00:49:34,710 but at least it will stop us simply pouring money from London or indeed from West 449 00:49:34,710 --> 00:49:42,230 Midlands Combined Authority into what somebody thinks might be a good idea. 450 00:49:42,230 --> 00:49:48,440 I mean, I don't think I mean, for us, you can't go, so I've got of it. 451 00:49:48,440 --> 00:49:55,070 Yeah. So if I were looking to sell practical, offer practical ideas to government, 452 00:49:55,070 --> 00:50:00,230 here's one that I think might be worthwhile, might be worth exploring and involve spending a bit of money. 453 00:50:00,230 --> 00:50:05,950 There are about 400 colleges in England. 454 00:50:05,950 --> 00:50:08,500 Slightly so it's all up now. 455 00:50:08,500 --> 00:50:18,730 So what I would do would be to create a fund of about 200 million, 200 million, what if you shared it and evenly give each about half a million? 456 00:50:18,730 --> 00:50:26,140 But I wouldn't share it has to the I'd make it forbidding. I'd say that it's for developing local skills strategies. 457 00:50:26,140 --> 00:50:28,720 Local skills offers lot strategies, 458 00:50:28,720 --> 00:50:35,290 the rules for bidding in that you have to collaborate with other colleges and you have to collaborate with local university. 459 00:50:35,290 --> 00:50:37,180 And I think that there is still a lot of money, 460 00:50:37,180 --> 00:50:48,400 but that would begin to shift the architecture into slightly more permeable institutions and you begin to get into institutional collaboration. 461 00:50:48,400 --> 00:50:53,560 And I think that, you know, we've learnt that that that sort of thing releases quite a lot of innovation 462 00:50:53,560 --> 00:50:58,420 would wouldn't solve the problems that you've put up on the slides on its own. 463 00:50:58,420 --> 00:51:02,140 No, it wouldn't wouldn't get institutions working differently. 464 00:51:02,140 --> 00:51:08,940 Yes, it would. So that sorts institutions, what about employers, I have a slightly different view on that, 465 00:51:08,940 --> 00:51:14,130 so I think in this day and age that what we're trying to do here, 466 00:51:14,130 --> 00:51:21,340 what we're trying to get young people and I'm very privileged, I do quite about what the prince's trust in this whole thing, 467 00:51:21,340 --> 00:51:28,110 and you get to some one to the most deprived parts of society. 468 00:51:28,110 --> 00:51:32,670 And if you can get people skills en masse, then then I think that is the way forward. 469 00:51:32,670 --> 00:51:40,920 And when I was growing up in the open university, it was like state of the art and I would try and do as much as I could online. 470 00:51:40,920 --> 00:51:46,650 And I would do that because I think you can spread the knowledge out much wider and know 471 00:51:46,650 --> 00:51:52,420 that that's great to a point if you're doing practical work training to be an electrician. 472 00:51:52,420 --> 00:51:57,060 Yeah, not so easy, but you can do a video with technology services. 473 00:51:57,060 --> 00:52:02,490 Excellent. But I would definitely try and do online. Now that raises all sorts of questions as well. 474 00:52:02,490 --> 00:52:06,780 That's OK. If you if you if you're connected at home, if you've got a computer, et cetera. 475 00:52:06,780 --> 00:52:15,450 And the phone says we don't have computers, but I think I'd be able to put the money into the technology and get people access to this this 476 00:52:15,450 --> 00:52:21,390 way because there are there are there are thousands of people who are getting left behind. 477 00:52:21,390 --> 00:52:26,490 And if if that doesn't concern you, I think it should. I worry about people getting left behind. 478 00:52:26,490 --> 00:52:32,280 I worry about who I'm going to say. I think is right, but in a slightly different way. 479 00:52:32,280 --> 00:52:37,200 I'm suggesting and I get to I think that is to introduce this point. 480 00:52:37,200 --> 00:52:42,780 So I love blocked during lockdown. And so what did I do? 481 00:52:42,780 --> 00:52:45,420 I googled. I found a video. 482 00:52:45,420 --> 00:52:54,120 I sent my laptop next to the lavatory and steps freeze, framing the video that was telling me how to fix the blockage on my traits. 483 00:52:54,120 --> 00:53:00,900 And I sorted it. And that that was a skill I was developing as I needed to develop. 484 00:53:00,900 --> 00:53:06,960 And I think that works for adults. The Open University is fabulous. 485 00:53:06,960 --> 00:53:17,210 It never built up a clientele, 18 year olds, so I'm with them on technology for post experience, for experienced workers, for later life. 486 00:53:17,210 --> 00:53:21,510 Ironically, I think there's something about socialisation of that community, 487 00:53:21,510 --> 00:53:29,670 which is that the evidence seems to me to suggest that you need face to face provision with younger people. 488 00:53:29,670 --> 00:53:35,940 We have that. But that's not just building up a second class because I think there's another point of not touched on yet is we are 489 00:53:35,940 --> 00:53:43,260 talking about people here or generalising that all of these people want their education and they want to develop. 490 00:53:43,260 --> 00:53:48,690 There are no huge part of the population who are disengaged, shall we say. 491 00:53:48,690 --> 00:53:56,730 That's what I do is I'm being polite but disengaged. And it's how we get those huge amounts of talent out there who are poor for a reason. 492 00:53:56,730 --> 00:54:04,980 Maybe their upbringing, it might be their home life, et cetera, have have fallen out of of of the come off the tracks a little bit, 493 00:54:04,980 --> 00:54:10,170 and we should really try and get these people back on track and everyone can. 494 00:54:10,170 --> 00:54:16,800 We are going to shoot for the stars past. But there's a lot of I call latent talent and we need to get back in. 495 00:54:16,800 --> 00:54:25,710 And there's there's one population. I think as an organisation, we failed and I take this personally because I'm quite heavily involved in it. 496 00:54:25,710 --> 00:54:27,990 And that's the disabled community. 497 00:54:27,990 --> 00:54:33,510 A lot of the disabled community do not work because it's just too difficult to get these people into work, et cetera. 498 00:54:33,510 --> 00:54:39,540 They are very talented people, but for whatever reason, as a society, we have not been that great. 499 00:54:39,540 --> 00:54:46,510 Look at Egypt and Egypt, bring the disabled people in. So we've got a lot of talented people who we need to bring in, and I'm using one. 500 00:54:46,510 --> 00:54:52,890 It's maybe a good example. It's maybe a bad example, but don't think everyone's bursting at the seams to get that. 501 00:54:52,890 --> 00:54:56,780 We need to generate this enthusiasm and this we will. 502 00:54:56,780 --> 00:55:02,550 If you want to be successful and successes in everyone's own mind. 503 00:55:02,550 --> 00:55:10,030 It is my way. I think it's what they think. But just to get them back on track and give them a job, make sure they understand money. 504 00:55:10,030 --> 00:55:13,710 And I might be off peace, but I might as well. I would. 505 00:55:13,710 --> 00:55:17,790 I would suggest that part of that goes back to the curriculum at school. 506 00:55:17,790 --> 00:55:23,250 We do not teach life skills at school. We've been pushing the government for some time. 507 00:55:23,250 --> 00:55:30,560 I think I think the curriculum could change a little bit. I've got four children, so I get a mortgage that. 508 00:55:30,560 --> 00:55:32,600 Right. What about a basic level here? 509 00:55:32,600 --> 00:55:37,220 So we've got to educate people on how do you get them or how do you get life insurance, how do you how do you do it? 510 00:55:37,220 --> 00:55:41,510 Will all these things are just life skills that we don't teach? 511 00:55:41,510 --> 00:55:49,730 OK, I suppose I'd like to go back to the place issue, though, because this is, after all, what we are trying to focus on. 512 00:55:49,730 --> 00:55:53,510 And I'd like to come back to this, this issue of. 513 00:55:53,510 --> 00:55:59,810 So you have you have a town with which will still have school in place when you know you're right. 514 00:55:59,810 --> 00:56:02,450 A variety of reasons. The high street probably doesn't bustle. 515 00:56:02,450 --> 00:56:11,330 It doesn't have the same, but it does have employers, you know, it has employers and some of those could become considerably more productive. 516 00:56:11,330 --> 00:56:17,060 They could become bigger. They could grow. And for them, there is a real challenge. 517 00:56:17,060 --> 00:56:30,030 And you know, we I think I had some good ideas about large industries, large businesses sharing up to date training stuff and some good ideas about. 518 00:56:30,030 --> 00:56:39,120 Institutional collaboration, but I want to really come back to this because it also relates to the very depressing statistic I'd put up, 519 00:56:39,120 --> 00:56:47,850 which is from a variety of of US government sources, which is that on the whole, British employers do not spend much on training. 520 00:56:47,850 --> 00:56:53,810 And I think your point about risk sharing was actually absolutely right. 521 00:56:53,810 --> 00:56:59,760 The only way you sort of generate this really on a large scale, is by actually creating a different environment, 522 00:56:59,760 --> 00:57:06,990 an environment in which you bring employers together more actively and give them 523 00:57:06,990 --> 00:57:11,220 some reason to come together more actively in a way which sparks people off. 524 00:57:11,220 --> 00:57:16,800 Which means that you discover that actually you might want to take an apprentice in a given area, 525 00:57:16,800 --> 00:57:23,400 which means that the local college would actually be able to have enough of them to put on a course because it would actually be economically viable, 526 00:57:23,400 --> 00:57:31,770 or that several of them actually can see a way of wanting to make contact with, for example, just this down the road and has some regular stuff. 527 00:57:31,770 --> 00:57:40,260 How do you actually get that going? And it does seem to me that the colleges have to be somewhere in the centre of it. 528 00:57:40,260 --> 00:57:48,180 I mean, we do have this in this inherited institutional framework. And how might we do that? 529 00:57:48,180 --> 00:57:52,800 Because I think you're you're your bidding idea will get some good institutional stuff, 530 00:57:52,800 --> 00:58:01,560 but it's actually more sort of how how in a way do we change the the the incentives, the risk sharing, the behaviour more generally? 531 00:58:01,560 --> 00:58:06,210 I didn't give you warning of this, and since I don't have the answer, 532 00:58:06,210 --> 00:58:11,610 but I would like to suggest in the levelling up context that if we could do that again, 533 00:58:11,610 --> 00:58:21,150 if we could create the sorts of incentives that brought businesses together in the first place to create and fund these institutions, 534 00:58:21,150 --> 00:58:30,780 we would actually, on the skills side, be making a major step forward and we wouldn't be falling into the trap that Ford Motor Company did. 535 00:58:30,780 --> 00:58:34,560 And it was the best of intentions of sort of offering people training only. 536 00:58:34,560 --> 00:58:44,170 It was just training sort of in a vacuum. Yes. I mean, look, I'm I'm the short answer to your question is, I don't know. 537 00:58:44,170 --> 00:58:52,560 And I think the longer answer. 538 00:58:52,560 --> 00:58:58,550 Would go something like this. I'd buy your historical analysis. 539 00:58:58,550 --> 00:59:03,030 I don't disagree with much of any of it. 540 00:59:03,030 --> 00:59:11,290 The question is whether we are trying to recreate something which we have lost or whether we need to create something which which is new. 541 00:59:11,290 --> 00:59:16,750 And I think in that sense, the historical says, might might slightly mislead us. 542 00:59:16,750 --> 00:59:21,120 That world has probably gone so. 543 00:59:21,120 --> 00:59:24,090 So something different needs to happen. 544 00:59:24,090 --> 00:59:34,680 It is true that UK employers invest, do not invest in training that cut employees in other countries, do invest more in training. 545 00:59:34,680 --> 00:59:43,980 And I have never entirely understood that I used tax compulsion, tax credits or whether it's something that is cultural, culturally different. 546 00:59:43,980 --> 00:59:51,420 I don't know the answer to that. And I'd like to understand it because it points to a salt, salt, salt, sort of. 547 00:59:51,420 --> 00:59:58,320 I do think that there is a slight tendency in this to somewhat over generalise about skills. 548 00:59:58,320 --> 01:00:04,530 Skills can be very specific skills. It's whether it's me fixing my laboratory or your children getting a mortgage. 549 01:00:04,530 --> 01:00:09,510 You know they are. They are quite specific and they look different in different contexts. 550 01:00:09,510 --> 01:00:14,490 And that's why I do come back to energise the local initiative. 551 01:00:14,490 --> 01:00:18,720 I did make a mistake early when I talked about incentivising colleges. 552 01:00:18,720 --> 01:00:21,960 I should have said employers as well. I see you've got to engage that. 553 01:00:21,960 --> 01:00:26,910 And that was that was that was an oversight. But I think you can then begin to move things. 554 01:00:26,910 --> 01:00:34,680 And the most successful bits of the global economy are those which have found specialist niches. 555 01:00:34,680 --> 01:00:40,650 So we can all talk about technology around Boston or technology in Silicon Valley. 556 01:00:40,650 --> 01:00:48,660 But there's absolutely no reason why you couldn't see a niche developing different niche around Grimsby or around Great Yarmouth. 557 01:00:48,660 --> 01:00:56,190 What would that be? I don't know. Do I think that the employers and skills providers would have a better place to me? 558 01:00:56,190 --> 01:01:03,170 Yes, I do. If. Just so I'm. 559 01:01:03,170 --> 01:01:12,930 Give them a view, and an education for me is all about passing knowledge from one to another and all across the land. 560 01:01:12,930 --> 01:01:19,450 You've got schools, colleges, so you've got a facility to do that. 561 01:01:19,450 --> 01:01:26,980 If I've ever asked anyone for help on educational coaching, I don't I don't think anyone's ever said no. 562 01:01:26,980 --> 01:01:36,130 So you've got this massive population of either newly retired or an hour at a time and people who are highly skilled, 563 01:01:36,130 --> 01:01:42,400 fanny, well educated, who are only too happy to pass that education on to others. 564 01:01:42,400 --> 01:01:45,730 There's something there, but latent talent available, especially in some of the smaller, 565 01:01:45,730 --> 01:01:56,530 more rural areas where by by opening up some of these other facilities, I'm sure people would share that knowledge base as very unstructured. 566 01:01:56,530 --> 01:02:03,430 So it's maybe not helpful. But if somebody asked me to help I go to school and an afternoon or an evening, 567 01:02:03,430 --> 01:02:07,840 I would be only too happy to go and do that to pass on what knowledge I've got to others. 568 01:02:07,840 --> 01:02:15,010 And that's good back to this whole sharing part, which I think the pandemic has given us a real position, right? 569 01:02:15,010 --> 01:02:18,910 And I think climate will just really accelerate that. Yeah. 570 01:02:18,910 --> 01:02:27,880 And so we as a country, we could we could really think about how we open up this amazing talent pool we've got for the greater good for all. 571 01:02:27,880 --> 01:02:32,340 It would take some organising, but with right will, there has to be a way. 572 01:02:32,340 --> 01:02:40,390 A final question before I ask you this physically and virtually, 573 01:02:40,390 --> 01:02:45,970 we've been talking about the particularly I have been talking about the fact that we sort of move from one 574 01:02:45,970 --> 01:02:55,390 kind of society to another and that our system has in some cases adapted extremely well on and others has, 575 01:02:55,390 --> 01:02:59,770 has, has not. And and so we have these particular shortages. 576 01:02:59,770 --> 01:03:07,570 And we also are struggling to keep up with things that that move very fast. 577 01:03:07,570 --> 01:03:13,610 If you were, for example, maybe I ask you. 578 01:03:13,610 --> 01:03:18,620 Chris Veale tells us what, but if he was sort of thinking about, you know, 20 years from now, 579 01:03:18,620 --> 01:03:29,390 if I want to sort of stop worrying now about where I'm pretty sure we're going to have too little capacity apart from climate? 580 01:03:29,390 --> 01:03:33,570 Yeah, why would you put your money knowing that you will be wrong in the detail? 581 01:03:33,570 --> 01:03:37,610 Where would you put your money in the broad? 582 01:03:37,610 --> 01:03:45,050 Well, I know you said, apart from climate, but I do think that that's going to become an overwhelming issue, 583 01:03:45,050 --> 01:03:48,860 which is going to permeate almost all of the parts of the globe. 584 01:03:48,860 --> 01:03:57,340 There's not going to be a thing around climate. It is the water in which we're going to be swimming for the rest of my life. 585 01:03:57,340 --> 01:03:59,690 So I wouldn't accept climate. 586 01:03:59,690 --> 01:04:14,030 I think digital where it so it's it's if we just think about the pace of change in digital technologies over the last 20 years. 587 01:04:14,030 --> 01:04:21,830 You know, look ahead if it is very, very difficult to see that. 588 01:04:21,830 --> 01:04:27,770 And that also, I think becomes Zambians know artificial intelligence, which I'm putting under my heading of digital, 589 01:04:27,770 --> 01:04:34,850 is going to move increasingly through finance, through manufacturing. 590 01:04:34,850 --> 01:04:39,860 So those all those are probably two, two massive ones. 591 01:04:39,860 --> 01:04:45,530 I think there's a really big question around the the issues that will flow from an 592 01:04:45,530 --> 01:04:50,990 ageing society and it is possible to think about that in terms of social care. 593 01:04:50,990 --> 01:04:59,780 But I think as well this whole sets of issues around design and delivery for ageing societies that as we get older, 594 01:04:59,780 --> 01:05:08,980 if we want to maintain an independent system. So for me, the big drivers are going to be climate, digital and ageing. 595 01:05:08,980 --> 01:05:16,090 Yes. I mean, I'm like, where would you put your bets? My heart tells me manufacturing, because as a country, you have to make things here. 596 01:05:16,090 --> 01:05:20,000 You have to make things that I love a production line and it comes off the end. 597 01:05:20,000 --> 01:05:24,950 However, I'm a great believer in keeping these debates as simple as we can. 598 01:05:24,950 --> 01:05:32,460 So what do we need? Maybe if you think about just what you need to get through life, you need food. 599 01:05:32,460 --> 01:05:39,690 You need help. So I completely agree with that because it's an ageing population, so you need help and you need a roof over your head. 600 01:05:39,690 --> 01:05:43,890 We live on an island. There's never going to be enough homes in the UK. 601 01:05:43,890 --> 01:05:49,080 You've got 28 million homes are going to need to be retrofitted before 2050. 602 01:05:49,080 --> 01:05:58,020 So if I can buy a reincarnated now, I'd be a heat pump manufacturer or I'd be a plumber or an electrician because it's all going to have to get done. 603 01:05:58,020 --> 01:06:01,560 We are the combustion engines at the end of its natural life. 604 01:06:01,560 --> 01:06:06,120 You are going to be driving electric cars, whether you like or not. Personally, I quite like it. 605 01:06:06,120 --> 01:06:13,260 I don't have one yet, but I will get one. But you need an infrastructure for that, so I'd be building the infrastructure. 606 01:06:13,260 --> 01:06:15,360 And then the other thing you've got to think about is power. 607 01:06:15,360 --> 01:06:21,030 And I know it would be we don't want to talk about climate, but the whole axis of power is changing. 608 01:06:21,030 --> 01:06:23,400 If you if you think about aviation, 609 01:06:23,400 --> 01:06:30,510 sustainable aviation fuel can now be manufactured with no go to scale it because people don't want to give up flying, 610 01:06:30,510 --> 01:06:38,610 but they don't want to pollute the planet. So I so I just think power is going to be a massive change over the next two years, hydrogen, 611 01:06:38,610 --> 01:06:47,170 etc. And I think it's exciting because it's going to be quite demanding on resources as well as as well, but certainly also a big one as well. 612 01:06:47,170 --> 01:06:55,710 Now the thing I would sort of note is that there's a couple of cases where what we're talking about is higher development typically for that. 613 01:06:55,710 --> 01:07:03,240 But you know, honestly, what it also says is that a lot of that is stuff you do everywhere. 614 01:07:03,240 --> 01:07:11,820 Which I think, again, comes back to this question of how we think about motivating people, 615 01:07:11,820 --> 01:07:20,220 make it easier for them to to stay because the vast bulk of jobs related to this are actually going to be everywhere in the country. 616 01:07:20,220 --> 01:07:24,210 And I mean, I I'm actually also quite keen on manufacturing. 617 01:07:24,210 --> 01:07:37,080 Just never, ever, ever is going to employ many people again. It just isn't my privilege as being on the stage. 618 01:07:37,080 --> 01:07:42,540 We've got an audience here and an audience online. It's just about time to time. 619 01:07:42,540 --> 01:07:48,930 So we just I think we have just about time to open up to questions. 620 01:07:48,930 --> 01:07:58,080 Online questions are perfectly fine. I'm going to abuse my position on stage to ask the first question, really. 621 01:07:58,080 --> 01:08:03,750 And I want to start with a little anecdote about myself because it picks up an enormous saying 622 01:08:03,750 --> 01:08:10,500 about a vast pool of people who are willing to provide advice and mentoring the young people. 623 01:08:10,500 --> 01:08:14,940 And I was I love my parents. 624 01:08:14,940 --> 01:08:26,700 Both left school at the age of 12, so I was the first generation of getting a chance to go to university from Sheffield. 625 01:08:26,700 --> 01:08:34,840 So I was very much a part of a pioneer of trying to, 626 01:08:34,840 --> 01:08:43,610 and I reached a point where I had a terribly important decision to take and I knew I wasn't equipped to take it. 627 01:08:43,610 --> 01:08:54,450 And so I needed somebody who was a middle class person who could give me advice, and I thought, Who could I ask? 628 01:08:54,450 --> 01:08:59,310 And I could think of only one middle class person that I interacted with regularly. 629 01:08:59,310 --> 01:09:09,940 And that was my dentist. And so I asked my dentist for mentoring advice, and I have to say he was completely useless. 630 01:09:09,940 --> 01:09:18,170 So we can do better in by putting in people who are a little bit better equipped to mentor, 631 01:09:18,170 --> 01:09:24,140 but I think there's still a huge gulf in that mentoring role. 632 01:09:24,140 --> 01:09:32,180 And then I wanted to draw both of you because both of you were pioneers in different ways. 633 01:09:32,180 --> 01:09:45,800 Chris has pioneered the the the the use of a university to actually train people in the range of locally pertinent skills and engage with local firms. 634 01:09:45,800 --> 01:09:54,230 And you even have pioneered recruitment in a provincial city. 635 01:09:54,230 --> 01:10:01,730 And both of you, as far as I can see, have learnt by to an extent a process of trial and error. 636 01:10:01,730 --> 01:10:12,410 And that seems to me a perfectly acceptable way to learn is get going and try things, and not everything will work for you. 637 01:10:12,410 --> 01:10:17,150 It would just, you learn by doing. And there hasn't been enough doing. 638 01:10:17,150 --> 01:10:26,490 There's been a the Obama problem of a rolling seminar discussing policy, but not enough actually doing things to learn from from experiment. 639 01:10:26,490 --> 01:10:31,010 And finally, we could learn from success. 640 01:10:31,010 --> 01:10:43,820 And the idea that there's no success outside London is very clearly false even gave the example of where do they go to for it skills? 641 01:10:43,820 --> 01:10:49,500 Sheffield why? Because Sheffield has got eight hundred IT firms. 642 01:10:49,500 --> 01:11:03,710 It's a major I.T. cluster, and so there are enormous clusters of new schools all around the country, but unrecognised. 643 01:11:03,710 --> 01:11:08,170 And so one. Learn from that. 644 01:11:08,170 --> 01:11:15,830 Cluster in Sheffield. There may be many other clusters that can be harnessed and the new unrecognised. 645 01:11:15,830 --> 01:11:21,590 And finally, we can learn from success in colleges of further education. 646 01:11:21,590 --> 01:11:26,700 Chris said there are 400 of them. Barnsley College. 647 01:11:26,700 --> 01:11:33,550 Barnsley College is in the top 10. Nationally. 648 01:11:33,550 --> 01:11:39,880 As a distinctive thing about Barnsley College is the Barnsley doesn't have a university, 649 01:11:39,880 --> 01:11:52,090 and so the local government really has focussed on making Barnsley College good because they now have the choice and it seems to have worked. 650 01:11:52,090 --> 01:12:01,180 So could we learn from the success of Barnsley College in for the other three hundred nineteen that are not as good? 651 01:12:01,180 --> 01:12:08,710 And so this is just kind of the whole thing of. 652 01:12:08,710 --> 01:12:19,780 I think what I'd like to do is take two or three questions, as well as what is following up on that and the fact that both he and Sandra. 653 01:12:19,780 --> 01:12:27,280 Hold on. We need to like say, OK, thank you for the very stimulating discussions this evening. 654 01:12:27,280 --> 01:12:32,080 And it raised many questions in my mind. I'll just ask one. 655 01:12:32,080 --> 01:12:39,580 There was a lot of discussion about changes in the workforce, how fast things change in view of how fast things change. 656 01:12:39,580 --> 01:12:44,490 What does the panel think about the post-16 curriculum? 657 01:12:44,490 --> 01:12:48,490 Do you feel it's it's it's narrow in England relative to other countries? 658 01:12:48,490 --> 01:12:53,720 And how would you change that? I mean, is that something for vocational or is it something for academic as well? 659 01:12:53,720 --> 01:12:59,620 And the same question about apprenticeships or apprenticeships in England to narrow. 660 01:12:59,620 --> 01:13:03,400 Let's end. But that as well, I would like to take it there and there. 661 01:13:03,400 --> 01:13:08,550 And then once we had those three questions plus Paul, then thank you very much. 662 01:13:08,550 --> 01:13:15,430 I'm it's impossible to argue with the data that Baroness presented regarding the system being out of kilter, 663 01:13:15,430 --> 01:13:18,970 obviously, and the need for domestic upskilling in some form. 664 01:13:18,970 --> 01:13:25,000 But I want to know with respect to this idea of do we just want to recreate the past or should we be looking? 665 01:13:25,000 --> 01:13:28,900 Should we be looking to a new future with with that thought in mind, 666 01:13:28,900 --> 01:13:38,560 I'm wondering with your respective hats on to what extent you all think immigration should play a larger part in satisfying long term, 667 01:13:38,560 --> 01:13:41,440 in particular labour market demand? 668 01:13:41,440 --> 01:13:50,260 I'm mindful of the fact that immigration keeps being presented as a veiled option rather than an immutable necessity, perhaps. 669 01:13:50,260 --> 01:13:54,940 So I'm wondering whether immigration is part of the solution here, if indeed it's the case that as in Janesville, 670 01:13:54,940 --> 01:14:04,250 I think it was all the upskilling in the world in a town might not be enough to actually stimulate local economies. 671 01:14:04,250 --> 01:14:09,510 And it's one of those. Hello. 672 01:14:09,510 --> 01:14:13,350 My question has got to do with unused apprenticeship levy. 673 01:14:13,350 --> 01:14:17,640 I think there's about a billion that companies are not able to use for their own staff. 674 01:14:17,640 --> 01:14:21,180 Does anyone know what happens to that money? 675 01:14:21,180 --> 01:14:30,570 Because you see the decline in provision for further education, you're wondering why apprenticeship levy this unused is not being used for that. 676 01:14:30,570 --> 01:14:34,110 I can tell you that that's a specific empirical question. 677 01:14:34,110 --> 01:14:42,480 And I felt so that like, yeah, let's start by answering that one that wasn't going to huge detail. 678 01:14:42,480 --> 01:14:52,890 The levy is basically it is really a levy. It's a tax, it's a tax on large companies and it goes into it goes into the into the Treasury. 679 01:14:52,890 --> 01:14:56,670 And the amount that is not used by companies, 680 01:14:56,670 --> 01:15:01,530 which has been going down is then goes goes into the Treasury pot and then makes some 681 01:15:01,530 --> 01:15:08,130 allocation to pay for apprenticeship training and SMEs in small and medium firms. 682 01:15:08,130 --> 01:15:13,710 You're right that they said that there is over the last few years, it hasn't all been spent. 683 01:15:13,710 --> 01:15:18,630 You know, it's it's a slightly complicated system because basically it's described as a levy. 684 01:15:18,630 --> 01:15:23,100 It's really a tax, but you don't pay it if you actually use it. 685 01:15:23,100 --> 01:15:25,050 Tried an apprentice. 686 01:15:25,050 --> 01:15:32,550 The treasurer would say that they worked on predictions and that they intended you that it was expected that they would use it all. 687 01:15:32,550 --> 01:15:39,870 But the amount that is unspent has that is unspent has been declining as the amount is spent by 688 01:15:39,870 --> 01:15:46,950 levy payers because those are one of the reasons that apprenticeship numbers have fallen well. 689 01:15:46,950 --> 01:15:52,380 There are two major reasons why include one not so good numbers fell because there 690 01:15:52,380 --> 01:15:57,540 was a big apprenticeship reform and the government stop supporting very short, 691 01:15:57,540 --> 01:16:01,980 very low quality apprenticeships a few years ago. So that brought the numbers down. 692 01:16:01,980 --> 01:16:07,350 But the other problem, which I think is an interesting one, which I don't have an answer, 693 01:16:07,350 --> 01:16:16,080 is that the levy payers in particular have been tending to increase the the level of the apprentices that they take on. 694 01:16:16,080 --> 01:16:26,760 They will often there are more and more high level apprentices, and they cost more because it goes on for long that large number of years. 695 01:16:26,760 --> 01:16:32,490 So the amount of the levy that has been unpaid has actually been falling. 696 01:16:32,490 --> 01:16:40,170 And so far Treasury has not, as has continued to treat it as though it was a sort of hypothecated pot. 697 01:16:40,170 --> 01:16:46,950 So what happens is that if they don't chop it up over and above the levy because they work on the basis that that pays for everything, 698 01:16:46,950 --> 01:16:54,360 then then that's it. But there is, alas, not a nice pot sitting of a billion pounds, which one could put out. 699 01:16:54,360 --> 01:17:01,920 It's so it's it runs into all the usual fights over mainstream government expenditure, alas. 700 01:17:01,920 --> 01:17:08,700 So I'm not what I can give you a straight answer of a couple of words that I'm really sorry, even even just listening. 701 01:17:08,700 --> 01:17:17,760 How complicated a response that is. Yes, I know it's OK is tells you everything I would tell you about the cost of it. 702 01:17:17,760 --> 01:17:25,080 I think he needs an overhaul. I don't think it's really good value for money because it's not going to the heart of the problem. 703 01:17:25,080 --> 01:17:28,830 The opening words Well, it's a complicated system. It's a complicated system. 704 01:17:28,830 --> 01:17:33,900 What we need is straightforward. Get people into apprenticeships, put the money behind it. 705 01:17:33,900 --> 01:17:39,480 We'd be delighted to put the money behind it rather than trying to fudge it, which is roughly what we're doing. 706 01:17:39,480 --> 01:17:49,000 What I want is the best way. I think it needs an overhaul. The absolutely the answer, the answer, answer, sort of let's do it. 707 01:17:49,000 --> 01:17:54,760 When everything goes on. On the other questions and film responses before, do you want to go first? 708 01:17:54,760 --> 01:17:58,540 OK, I'll rattle through them quickly. Sandra starts it off of speed of change. 709 01:17:58,540 --> 01:18:00,880 The speed of change is incredible. 710 01:18:00,880 --> 01:18:09,400 Just like I worry that will light people up and I hire lots of young smart people to keep me up to date with technology. 711 01:18:09,400 --> 01:18:14,680 I am a dangerous amateur on its own clean technology. I'm really trying to self educate myself. 712 01:18:14,680 --> 01:18:19,640 Do you think the education system is too narrow? Yeah. 713 01:18:19,640 --> 01:18:26,520 The more I see it now and the closer I get to, I think it can just do with expanding a little bit. 714 01:18:26,520 --> 01:18:31,420 But I think it's really difficult and I don't have the answer. Do I think apprenticeships up to now? 715 01:18:31,420 --> 01:18:35,560 No. I think they're very wide and very varied. I just think we should use it more. 716 01:18:35,560 --> 01:18:43,780 And that was a good introduction. Now, immigration. I'm I'm an open capitalist economy guy. 717 01:18:43,780 --> 01:18:48,820 You know, I would I would have the doors open. I think you've got to be careful with some of the rules. 718 01:18:48,820 --> 01:18:59,570 It's and I get all that. But if you want a growing economy, I think I think you've got to be more open than perhaps we are at the. 719 01:18:59,570 --> 01:19:06,360 Think of a them. Emerging markets are going to agree, I absolutely agree on immigration. 720 01:19:06,360 --> 01:19:13,590 My reading of the data is that there's very little evidence that immigration depressed demand for scale or demand or wages. 721 01:19:13,590 --> 01:19:16,870 What it tended to do is to try to grow the economy. 722 01:19:16,870 --> 01:19:25,050 Now the caveats on this is that there may be particular geographical locations where that was experienced differently, 723 01:19:25,050 --> 01:19:30,300 but from a national perspective, I'm with you on that. 724 01:19:30,300 --> 01:19:35,970 On Page 16, Alison, I have had to engage exchanges on ideas before. 725 01:19:35,970 --> 01:19:44,280 There is some path dependency and crudely words to remember about post-16 education in countries as Byler constructed as a 726 01:19:44,280 --> 01:19:51,390 basis for university entry and the system that we've got means that we can have three year degrees of four year degrees. 727 01:19:51,390 --> 01:20:00,360 I think that the post-16 curriculum is too narrow. It probably does need to be subject based on the disagreement with that, but it is too narrow. 728 01:20:00,360 --> 01:20:04,440 It forces early specialisation, it closes down choices. 729 01:20:04,440 --> 01:20:15,060 I you know where I sit worried that T levels are probably going to reinforce trum lining rather than okay, opening up choice. 730 01:20:15,060 --> 01:20:26,250 And that feels to me to be a bad thing is not the way most of the rest of the world is going, and I don't think we've picked your questions. 731 01:20:26,250 --> 01:20:38,550 There's an interesting question about if colleges and what they do in areas where they are the sole provider of of post-16 training. 732 01:20:38,550 --> 01:20:45,870 And you're right. And the interesting question is this do we think I think I'm reasonably conservative about this? 733 01:20:45,870 --> 01:20:51,810 Do we think that we've basically got institutional structure that could deliver if it was incentivised properly? 734 01:20:51,810 --> 01:20:57,840 I think I'll quit because I think the answer might be yes. Or do we think that we need some new types of institution? 735 01:20:57,840 --> 01:21:09,670 I think that we've proved we got an institutional structure which is not appropriately incentivised, but is a broadly appropriate structure. 736 01:21:09,670 --> 01:21:16,820 We had some more questions that those gentlemen can we take some from online? You taking some from the Aether, right? 737 01:21:16,820 --> 01:21:21,850 Okay, so there's quite a few that. And Andy asks, 738 01:21:21,850 --> 01:21:33,270 how do we begin to address the adult skills issue as 80 per cent of the UK workforce in 2013 are already behind as in post education and upskilling? 739 01:21:33,270 --> 01:21:40,380 And someone an applicant is asked that the panel have any suggestions on what we can do to innovate online learning, 740 01:21:40,380 --> 01:21:47,230 given that most of the working population is burned out from statutory regulated learning. 741 01:21:47,230 --> 01:21:58,650 And the last one, what do you think about the effect of AI on the future available jobs and impact on training providers and trainees? 742 01:21:58,650 --> 01:22:05,040 You could be like you can say, OK, these are all extremely good questions, I'm trying, I think I'll take it in reverse. 743 01:22:05,040 --> 01:22:15,300 I think the air question is a really tough one and it falls into the category that can we predict future skills with certainty? 744 01:22:15,300 --> 01:22:21,630 And I'm not sure we can say what to what do I think is going to be the long term impact of A.I.? 745 01:22:21,630 --> 01:22:30,240 I have no real idea. And I think this is a sort of grope forward, establish broad principles rather than specifics. 746 01:22:30,240 --> 01:22:38,370 I think if you try to over predict that you will over and therefore specify that that's not a very helpful answer. 747 01:22:38,370 --> 01:22:46,080 And how to incentivise online learning a lot of lack of something that ends and I thought was absolutely right, 748 01:22:46,080 --> 01:22:50,970 and it's both something that we need to respect, but it's also a challenge. 749 01:22:50,970 --> 01:22:59,350 I think that there's some suppressed demand for upskilling those people who don't necessarily want to. 750 01:22:59,350 --> 01:23:08,380 And we should respect that. But it's also the consequence of the problem that economies are locked into this low skill, low productivity equilibrium. 751 01:23:08,380 --> 01:23:14,440 And unless we can create economic incentives in which and this is the Janesville lesson, 752 01:23:14,440 --> 01:23:20,080 everybody's goal, the hope that the unemployed food workers needed to upskill. 753 01:23:20,080 --> 01:23:30,100 But there was no local demand for them to use those skills, so they became disenchanted, disengaged in many cases of their relationships fall apart. 754 01:23:30,100 --> 01:23:31,310 So really sad story. 755 01:23:31,310 --> 01:23:40,990 So to have to do how to how to encourage innovation online, many people pick up this when they need, when they see the need for it. 756 01:23:40,990 --> 01:23:51,130 Most people are rational actors. Me and my broken laboratory and I know I would generalise it from experience of war in my bathroom. 757 01:23:51,130 --> 01:23:58,420 But but I think in that sense, it is in the demand. We'll be there when there is a need, when there is a need for it. 758 01:23:58,420 --> 01:24:03,040 The age of the adult skills problem, I think, is absolutely right, 759 01:24:03,040 --> 01:24:11,200 and it is that the really people call me for some of the problem that know is the need where many people see there's a gap, 760 01:24:11,200 --> 01:24:20,320 but that it is a much bigger and more challenging problem than the supply of new workers. 761 01:24:20,320 --> 01:24:26,620 We could we can address the supply of new workers with some qualifications reform through some institution incentivization. 762 01:24:26,620 --> 01:24:32,560 But that big chunk of people, most of the people who are going to be in the workforce in twenty twenty eight 763 01:24:32,560 --> 01:24:37,980 are already in the workforce and their jobs are being reconstructed around them. 764 01:24:37,980 --> 01:24:41,900 That's a daily challenge for all of us. I will give you all the time. 765 01:24:41,900 --> 01:24:50,110 I would like to spotlight I for a sake. So I think artificial intelligence in the next ten years or even the next twenty years, 766 01:24:50,110 --> 01:24:55,390 next ten years is going to be significant because we are going to move into a world of hyper 767 01:24:55,390 --> 01:25:01,070 personalisation and everyone wants when it comes to technology are made to measure suit. 768 01:25:01,070 --> 01:25:05,770 So it's just made for you and this is the way it's going to go now. 769 01:25:05,770 --> 01:25:11,110 I worry about that because there's a massive unintended consequences of that as well, 770 01:25:11,110 --> 01:25:16,870 because you may take people out of the economy as much as you take people or bring people into the economy, 771 01:25:16,870 --> 01:25:27,490 and we have to be very aware of that before we go. The reason that is exciting is, is it is just enormous data getting configured in a certain way. 772 01:25:27,490 --> 01:25:33,280 The one area we don't know and I I'm sure there's better brainpower in this room than me, 773 01:25:33,280 --> 01:25:39,580 who maybe do have a good view of this is that what are the future behaviours going to drive? 774 01:25:39,580 --> 01:25:42,010 So if somebody said to me 10 years ago, 775 01:25:42,010 --> 01:25:49,660 delivery only sort of takeaway companies for food were going to be massive and what made them one of the after the I would have laughed. 776 01:25:49,660 --> 01:25:56,650 But customer behaviours have changed. And so the next ten years is us trying to second guess customer behaviours, 777 01:25:56,650 --> 01:26:01,960 and I don't know what they're going to be at the moment, but I'm going to play a huge part of them. 778 01:26:01,960 --> 01:26:09,380 So exciting, but with quite a few worries as well. All right, these. 779 01:26:09,380 --> 01:26:19,300 Time for maybe two more questions. I thank you for this great panel discussion, let so, so much. 780 01:26:19,300 --> 01:26:22,250 I wanted to ask about Steve. 781 01:26:22,250 --> 01:26:31,330 And when we talk about creating jobs for people, it kind of creates a sense of esteem of being at Oxford University creates a steam, 782 01:26:31,330 --> 01:26:40,300 but maybe going to a lack of further education or another university may not create as much as steam, so it creates this disparity within people. 783 01:26:40,300 --> 01:26:48,010 So is wondering how you think about the future of accreditation for different institutions and how people, you know, 784 01:26:48,010 --> 01:26:53,170 the messaging that goes out that if you go to assess and if you go down a session path, 785 01:26:53,170 --> 01:26:59,560 which is not quite clear yet for people that don't go to university, how do you build that in the community? 786 01:26:59,560 --> 01:27:06,710 Because it's not just about the job, it's about what that means to that person and the community that you. 787 01:27:06,710 --> 01:27:11,380 Well, first of all, thank you for using the word this time I was trying to think of the right word. 788 01:27:11,380 --> 01:27:14,890 I think it steams up very good word. 789 01:27:14,890 --> 01:27:21,070 I would use the word pride, and I think a lot of people in small communities have got real pride when I was growing up, 790 01:27:21,070 --> 01:27:25,670 had real pride in my community. You play for the local football team in central Ukraine. 791 01:27:25,670 --> 01:27:34,930 This. How do you energise people is is quite a challenge. 792 01:27:34,930 --> 01:27:39,880 I don't have the answer to how how you do that, but I think it's. 793 01:27:39,880 --> 01:27:47,500 Did I say it's maybe how you brought up where you brought up the environment around you, this caring, loving environment, 794 01:27:47,500 --> 01:27:54,520 et cetera, and I think people who come from that background have got a huge advantage as they go into further education. 795 01:27:54,520 --> 01:27:58,040 I wouldn't underestimate that for a second. 796 01:27:58,040 --> 01:28:05,200 I I'm somebody who I've got to know is a good friend in Manchester who does a huge amount of walks in the community. 797 01:28:05,200 --> 01:28:13,240 I mean, I've been out with him and seeing what it's like on the other side of that, I'm trying to get people energised and pride is so, so difficult. 798 01:28:13,240 --> 01:28:22,510 So I've thought of a brilliant and sort of a late thought for this team because I think it's really important. 799 01:28:22,510 --> 01:28:31,030 Thank you so much for a great talk. I have a question related to how we see the skills crisis related to income inequality because I think 800 01:28:31,030 --> 01:28:36,460 a lot of what you were saying was does this need for more technical education and for apprenticeships? 801 01:28:36,460 --> 01:28:43,060 Then on the other side, my first thought is, are we funnelling people into jobs that don't necessarily pay very well? 802 01:28:43,060 --> 01:28:51,940 And will that to some extent exacerbate income inequality? 803 01:28:51,940 --> 01:29:01,780 Both of those two final questions are just absolutely huge and open, really, really challenging, really challenging questions, questions. 804 01:29:01,780 --> 01:29:08,320 I mean, the the right. 805 01:29:08,320 --> 01:29:16,750 So the short answer to your question is that if it's really hard to predict skills needs in the economy, 806 01:29:16,750 --> 01:29:23,380 it's even harder to predict long term wage developments in the economy. 807 01:29:23,380 --> 01:29:31,780 So where that leads me and I'm going incredibly fast on this because I could probably talk for the next two hours on this, 808 01:29:31,780 --> 01:29:41,910 and I don't think I'd be terribly popular with anybody if I did. Is that you got to create opportunities that we have people make. 809 01:29:41,910 --> 01:29:47,940 Decisions that look good, that's in the short term that turn out to be bad bets. 810 01:29:47,940 --> 01:29:52,530 You got to create opportunities for those names to be revisited. 811 01:29:52,530 --> 01:30:04,080 And one of the major challenges is driven. Income and regional inequality in this country is that we didn't do that well when manufacturing 812 01:30:04,080 --> 01:30:10,170 industry collapsed and we left significant communities and populations high and dry, 813 01:30:10,170 --> 01:30:15,900 which has generated a whole range of social, economic, political and cultural problems that we're now wrestling with. 814 01:30:15,900 --> 01:30:20,100 So it's interesting that questions about how many coal mines there are left in France. 815 01:30:20,100 --> 01:30:21,870 And the answer is none. 816 01:30:21,870 --> 01:30:33,810 They also closed all their mines, but they invested a lot more money in ensuring that communities had other routes out of deindustrialisation. 817 01:30:33,810 --> 01:30:41,440 They also have a significantly higher unemployment rate than we do in a truly messed up youth labour market. 818 01:30:41,440 --> 01:30:43,770 To me, it is so. 819 01:30:43,770 --> 01:30:52,740 So if you want to look at this system from the point of view of the users, the skills, users accept that some of them are going to make bad choices. 820 01:30:52,740 --> 01:30:58,560 We all make bad choices in life and you create a system that allows the allows 821 01:30:58,560 --> 01:31:02,730 people sensitive to reverse out of the Cul-De-Sac and get back onto the road. 822 01:31:02,730 --> 01:31:08,200 That that's that's important. I think. 823 01:31:08,200 --> 01:31:17,800 Used up our time, so let me draw to a close with these last two questions about steam and inequality. 824 01:31:17,800 --> 01:31:24,460 And the answer, I think, was steam is that we need more. 825 01:31:24,460 --> 01:31:38,920 Ian Stewart, who became the head of one of the biggest banks in the world through night school and and has been very private. 826 01:31:38,920 --> 01:31:54,970 If we had a thousand people around you being generated each year and we were celebrating that the balance of esteem would very rapidly shift. 827 01:31:54,970 --> 01:32:01,300 So that's that's that's an esteemed coin. And finally, total inequality. 828 01:32:01,300 --> 01:32:11,590 There was a very interesting survey just a few months ago in Britain about what aspects of inequality really, really mattered. 829 01:32:11,590 --> 01:32:18,130 And in fact, it was done at King's and the. 830 01:32:18,130 --> 01:32:25,300 And the result was surprising to the researchers, though not surprising to anybody who lived in the real world, 831 01:32:25,300 --> 01:32:34,480 which means that there was only one thing in the whole country that people really came together to agree about inequality. 832 01:32:34,480 --> 01:32:40,100 And that was that we had to reduce spatial inequality. 833 01:32:40,100 --> 01:32:49,630 That what you what opportunities you had to earn a good living should not depend upon where in Britain you were born. 834 01:32:49,630 --> 01:33:02,710 And at the moment, if you were born in London, you've got a 72 percent higher income chance then than in Britain outside the southeast. 835 01:33:02,710 --> 01:33:07,450 And so what? We really got agreement on consensus in Britain, 836 01:33:07,450 --> 01:33:14,860 and we're certainly finding that there's not much consensus, but is to tackle that spatial inequality. 837 01:33:14,860 --> 01:33:24,520 And that's why we've got this course of of of of discussions on levelling up to gradually build. 838 01:33:24,520 --> 01:33:33,550 And I wanted to close with a sentiment that I think was best articulated, probably by by Chris, 839 01:33:33,550 --> 01:33:44,200 that the skills, the demand for skills very much depends upon the job opportunities to use those skills. 840 01:33:44,200 --> 01:33:49,400 And so that the skills. 841 01:33:49,400 --> 01:34:01,970 Equipping people with better skills has to go hand in hand with growing the jobs that had generated predominantly by SMEs in the country. 842 01:34:01,970 --> 01:34:14,540 And that's why very shortly we've got a very important session on how to get better finance to sneeze, which is a huge task. 843 01:34:14,540 --> 01:34:25,190 So hand in hand, this series of discussions on levelling up will gradually cover the waterfront of the interventions, 844 01:34:25,190 --> 01:34:34,240 where all these complementary interventions will gradually build up to a much more spatially equal society. 845 01:34:34,240 --> 01:34:40,850 And on that, I really do want to thank Baroness Wolf. 846 01:34:40,850 --> 01:34:50,490 So Christopher Husbands and Ian Stewart, it's notable that the head of the biggest bank is the only person without a title. 847 01:34:50,490 --> 01:34:59,930 And if we wanted to level up the scheme, we might want to do something about that comment is all for us. 848 01:34:59,930 --> 01:35:04,490 Thank you very much indeed for a superb discussion. I think a very good question. 849 01:35:04,490 --> 01:35:10,393 Quite.