1 00:00:00,660 --> 00:00:03,480 Naively perhaps. But something like Brexit is important, 2 00:00:03,660 --> 00:00:14,070 but it pales into comparison into the potential impacts of automation on how we work in different future not having enough work. 3 00:00:14,830 --> 00:00:25,080 Climate change, London finance and. Fresh water, energy transition, large scale social disorder, antibiotic resistant diseases, 4 00:00:25,920 --> 00:00:30,600 education and deployment of private capital for social good quantum computing. 5 00:00:32,680 --> 00:00:36,460 Hello and welcome to the Feature Business podcast from say Business School. 6 00:00:37,120 --> 00:00:44,380 I'm Emily Baron and each week I host a conversation on a topic that will define the future of business and wider society. 7 00:00:44,710 --> 00:00:49,540 Speaking to experts from Oxford University. Leading businesspeople and entrepreneurs. 8 00:00:51,370 --> 00:00:59,290 This week we're talking about the future of work. Studies have shown that up to 47% of work is at risk of automation. 9 00:00:59,500 --> 00:01:06,010 What does this mean for us as individuals, as a society, and how businesses are run in the next 10 to 15 years? 10 00:01:06,310 --> 00:01:14,860 To help us look behind the numbers today was speaking to Google chief economist Howe Varian and Jonathan Trevor, a professor here at Oxford. 11 00:01:15,580 --> 00:01:23,030 First is our conversation with Professor Trevor. We discussed the paths of work, how we use employment to distribute wealth across society. 12 00:01:23,380 --> 00:01:26,980 And he might be the winners and losers in the automation age. 13 00:01:30,900 --> 00:01:34,809 Today we are talking about the future of work and it's fantastic to have you with us. 14 00:01:34,810 --> 00:01:36,240 So thank you very much for joining us. 15 00:01:36,750 --> 00:01:46,680 It would be fantastic if we could start off by painting a picture as it would be for someone who is really a lay person in this subject. 16 00:01:46,980 --> 00:01:52,320 What does the next 30 to 50 years look like in terms of our working lives? 17 00:01:53,310 --> 00:01:59,850 Gosh, well, I think it's a great question. It's the it's the million dollar billion dollar trillion dollar question. 18 00:01:59,850 --> 00:02:06,389 But it's not a question that I don't think anyone can really answer with a huge amount of confidence, because in many respects, 19 00:02:06,390 --> 00:02:12,420 there's so many unknowns and uncertainties around how work will be structured in future, how we will work, 20 00:02:12,960 --> 00:02:17,970 how we create economic value, how we create social value and actually maintain social justice. 21 00:02:18,390 --> 00:02:21,090 And I think in some respects, that's a sign of the times. 22 00:02:22,050 --> 00:02:26,610 You know, we would have been having a similar conversation at the beginning of the Industrial Revolution, 23 00:02:26,610 --> 00:02:30,210 certainly here in Europe, right about 17th century. 24 00:02:31,350 --> 00:02:34,300 But but in some sense, it was a simpler environment. 25 00:02:34,320 --> 00:02:41,340 And the types of technologies we were talking about or indeed others were talking about and introducing things like the double action steam engine, 26 00:02:41,340 --> 00:02:44,670 which is a transformative piece of technology at that time, 27 00:02:45,060 --> 00:02:50,880 that that was relatively slow to be introduced and relatively simple, not to say easy at all. 28 00:02:51,570 --> 00:02:57,690 But today, one of the big differences in not really so much our industrial revolution, 29 00:02:57,690 --> 00:03:06,600 but rather our information revolution, is that the speed and pace of change has magnified exponentially. 30 00:03:06,840 --> 00:03:15,710 If you wanted listeners to ask a few questions, maybe one or two questions that they should be asking themselves and asking of the people around them, 31 00:03:15,720 --> 00:03:18,750 what do you think those key questions that we're missing are? 32 00:03:19,200 --> 00:03:28,470 What really is the purpose of work? Right. Work, as we understand it, in terms of jobs and careers, is a relatively recent phenomenon. 33 00:03:29,490 --> 00:03:34,140 We have only really experienced it in the modern era, which is to say the industrial era. 34 00:03:34,800 --> 00:03:39,510 It is something which is is, you know, no more than really 300 years old. 35 00:03:39,540 --> 00:03:46,529 Prior to that, there was servitude, serfdom. There was subsistence farming, subsistence living. 36 00:03:46,530 --> 00:03:52,500 We just sought to survive. Now we have expectations that more than merely survive, we should thrive. 37 00:03:53,250 --> 00:03:57,240 And work plays a huge, both practical. 38 00:03:57,270 --> 00:04:04,680 But can I say perhaps also moral role in not just surviving, but thriving as individuals, 39 00:04:05,130 --> 00:04:09,270 particularly as individuals today as we see society, I think, 40 00:04:09,270 --> 00:04:13,320 becoming progressively more individualistic and some would say more atomised, 41 00:04:14,070 --> 00:04:17,790 particularly as a result of things like social media and information technology. 42 00:04:19,050 --> 00:04:22,130 So for me, the question is really what is the purpose of work? 43 00:04:22,140 --> 00:04:27,850 And I think that's the ultimate question. But how you answer it needs to be a little bit more nuanced than that. 44 00:04:27,870 --> 00:04:35,010 And in particular, what I would like to encourage people to do is to think at multiple levels about this question around the purpose of work. 45 00:04:35,700 --> 00:04:38,249 Certainly it's easiest to answer the question. 46 00:04:38,250 --> 00:04:45,510 Well, actually not easy, but perhaps simplest to answer the question is individuals, what's the purpose of work in my life? 47 00:04:47,280 --> 00:04:52,440 So many individuals work gives us direction, it gives us focus, it gives us steam, 48 00:04:52,500 --> 00:04:57,150 it gives us connection to others beyond our immediate circle, our families, our friends. 49 00:04:57,540 --> 00:05:01,469 It gives us a sense of whether we're doing well or not. 50 00:05:01,470 --> 00:05:04,530 There is literally a structure by which we can measure ourselves. 51 00:05:04,890 --> 00:05:10,320 We often call that performance management, and sometimes it's absolute against some sense of objective or sometimes relative. 52 00:05:10,320 --> 00:05:12,870 I'm doing better than you, or more likely not. 53 00:05:13,350 --> 00:05:18,929 But fundamentally, it takes up a lot of our time, and it's something that plays a huge role in our lives, 54 00:05:18,930 --> 00:05:28,230 not just in terms of generating income to survive, but actually creating a sense of self-worth, a purpose, personal purpose that's really important. 55 00:05:28,890 --> 00:05:32,150 So that's one level, but then we can take it to a higher level. 56 00:05:32,160 --> 00:05:36,240 What is the purpose of work from a societal level? 57 00:05:36,930 --> 00:05:45,060 I think in terms of creating economic value and how that is then distributed and shared in a way that's considered equitable, 58 00:05:45,240 --> 00:05:51,209 which isn't to say egalitarianism gets same but equitable, but I think also organisationally. 59 00:05:51,210 --> 00:05:54,690 What is the purpose of work for companies or for employers? 60 00:05:55,770 --> 00:06:03,569 Again, is it purely around creating economic value, in which case employees are merely a cog in a machine and means finance? 61 00:06:03,570 --> 00:06:12,330 Or are we embracing the sense of purpose driven organisations which see a contribution more than just simply a healthy bottom line? 62 00:06:13,200 --> 00:06:18,989 Can you give us a kind of walk through of what the organisation of the future might be? 63 00:06:18,990 --> 00:06:27,340 And I do want to come to kind of who might be the losers in this situation and what does it look like when I go to work in ten or 15 years time? 64 00:06:27,360 --> 00:06:30,900 Do I even go to a place? So I don't like the question. 65 00:06:30,990 --> 00:06:34,950 I think we can do a different question. No, no, I think it's a great question. 66 00:06:34,950 --> 00:06:40,979 But I don't like the question because it kind of makes an assumption. And I think this is one of the problems that we have when we try and think 67 00:06:40,980 --> 00:06:46,740 about the future we we have in the past and indeed we are continuing to do so, 68 00:06:47,670 --> 00:06:52,590 which is dysfunctional. We're not learning from our mistakes. We think about the future as being one future. 69 00:06:53,040 --> 00:06:56,729 We think about the future organisation being one type of organisation. 70 00:06:56,730 --> 00:07:02,190 And the reality is it will be different. It will be different on a case by case basis. 71 00:07:02,190 --> 00:07:06,960 So what is the organisation of the future look like? Well, I've got a clear and simple answer, but you're not going to like it. 72 00:07:07,320 --> 00:07:10,790 It depends. It's such an Oxford, it's such an honest answer. 73 00:07:11,060 --> 00:07:16,830 It also happens to be true, I believe. So there will be some changes that we know that will apply. 74 00:07:17,070 --> 00:07:21,240 I think generally speaking, there will be less security. That's the negative. 75 00:07:22,020 --> 00:07:30,390 But on the flip side of that, there'll be more flexibility. I think we will increasingly have fewer dedicated occupations. 76 00:07:30,420 --> 00:07:37,140 What we will have is more and more as a trend portfolio careers, what we will have less and less of, 77 00:07:37,320 --> 00:07:42,150 simply because I believe it will be replaced by machine intelligence in some form or another, 78 00:07:42,330 --> 00:07:47,520 is routine work, whether that's manual or even white collar cognitive work. 79 00:07:48,750 --> 00:07:57,180 But what we will have more capacity for is inventive, creative work and work that requires discretion, discretion, 80 00:07:57,420 --> 00:08:05,060 the exercising of judgement, all of which are things that humans are really great at respective of backgrounds. 81 00:08:05,080 --> 00:08:08,819 Everybody can be good at these things. So we know those things. 82 00:08:08,820 --> 00:08:17,100 I believe them to be true. But what that means for what specific companies or organisations or government agencies look like in future, 83 00:08:17,370 --> 00:08:21,479 I think it's impossible to say because actually is just very dangerous, 84 00:08:21,480 --> 00:08:26,790 I think to stop generalising across entire economies or even across entire industries. 85 00:08:27,210 --> 00:08:33,840 So so for me, the urgent question is not to try and predict the future, to kind of say, well, what should we think about the future? 86 00:08:33,840 --> 00:08:39,690 It's more how how should we think about the future, how to think about some of the challenges that we're facing, 87 00:08:39,690 --> 00:08:46,530 how to ask the right questions, and to build in resilience into our own ability as leaders. 88 00:08:46,740 --> 00:08:51,510 I mean that in the broadest sense, not the heroic individual at the top of the hierarchy, 89 00:08:51,510 --> 00:08:59,910 but our capacity as human beings to to think differently about the future and to be resilient and to act together to make it more positive. 90 00:09:00,810 --> 00:09:04,710 Because, as you say, there are winners and losers and change always and always will be. 91 00:09:05,310 --> 00:09:10,050 But that's the urgent requirement for me, not not to be in some sense a mystic, 92 00:09:10,410 --> 00:09:16,170 but rather to actually just be better at how we think about the future and the choices we have to make. 93 00:09:16,410 --> 00:09:21,479 Do you think from your perspective in the kind of conversations you have about this, 94 00:09:21,480 --> 00:09:26,070 do you think there is enough sense of urgency in our government agencies, 95 00:09:26,070 --> 00:09:31,290 in lobbying organisations to start to ask these questions and start to have these conversations? 96 00:09:31,860 --> 00:09:35,070 Absolutely not. Did I know the answer to that question? 97 00:09:36,660 --> 00:09:41,850 Absolutely not. I mean, I think for very understandable reason, we we focus on the here and now. 98 00:09:42,060 --> 00:09:48,930 We focus on fighting problems and fires that are ever present and particularly over now. 99 00:09:49,200 --> 00:09:54,000 But the reality is, for me, naively, perhaps, but something like Brexit is important, 100 00:09:54,150 --> 00:10:00,780 but it pales into comparison to the potential impacts of automation on how we work and different future. 101 00:10:02,090 --> 00:10:06,170 And that's not something which is 50 years from now. That's something that's 15 years from now. 102 00:10:07,460 --> 00:10:12,680 And so thinking about those who might lose out, I mean, two studies I've seen, 103 00:10:12,680 --> 00:10:21,350 one is sort of this figure that gets bandied around a lot, that 47% of tasks will be automated. 104 00:10:21,770 --> 00:10:22,489 And then the other, 105 00:10:22,490 --> 00:10:31,620 that there's a disproportionate impact potentially on women because they disproportionately take up roles which are easy to automate. 106 00:10:32,240 --> 00:10:38,160 And when we think about both of those things, first of all, do they that still hold up, do you think? 107 00:10:38,180 --> 00:10:46,729 And secondly, sort of how bad can it get and what is the threat and what how do we then think about redistributing wealth in a sort of equitable 108 00:10:46,730 --> 00:10:55,960 way to use or leverage when those what mechanisms no longer kind of work in some sense to start to even think about these issues. 109 00:10:55,970 --> 00:11:00,440 It's important to understand how we've come to where we are and where are we. 110 00:11:00,650 --> 00:11:06,290 As I saying before, this idea of careers and occupations and jobs, 111 00:11:06,860 --> 00:11:10,670 working for an employer, engaging in a transaction that is the employment relationship, 112 00:11:10,910 --> 00:11:17,240 which is literally a contractual relationship legally this perhaps also a psychological relationship as well. 113 00:11:17,690 --> 00:11:21,650 That's a relatively modern phenomenon. And from a societal perspective, 114 00:11:21,980 --> 00:11:28,880 how we operate as democratic Catholic societies relies upon in large extent precisely 115 00:11:29,060 --> 00:11:33,980 that job structure creating industries in which works performed late by labour. 116 00:11:33,980 --> 00:11:37,070 We've come to rely upon that mechanism as a means of distributing income. 117 00:11:37,400 --> 00:11:39,020 So the primary means how we share. 118 00:11:39,770 --> 00:11:47,660 So in the UK, in the US, Western Europe, pretty much across the world is, is how we distribute income is precisely through our employment structures. 119 00:11:48,020 --> 00:11:54,110 So for me know it becomes more than just media interesting and topical when we are 120 00:11:54,110 --> 00:11:59,120 talking about threats to precisely that form of structuring the distribution of income. 121 00:11:59,510 --> 00:12:06,200 It's not just about jobs, it's about societal cohesion, it's about fairness, it's about stability. 122 00:12:06,380 --> 00:12:07,760 It's about how we come together. 123 00:12:07,970 --> 00:12:15,080 It's about the even not just simply the the question of responsibility from the state to its people, but actually how we even think about statehood. 124 00:12:15,860 --> 00:12:22,160 What are we if we are not a system as a nation for fairly sharing economic value? 125 00:12:22,820 --> 00:12:28,190 And the mechanism of how we do that again is employment. So it becomes a really important issue. 126 00:12:29,510 --> 00:12:35,090 And I think generally speaking, you have two camps when you start to think about these really complex issues. 127 00:12:35,540 --> 00:12:45,020 You have optimists and you have pessimists. And the optimists would argue, I think, that particularly with regards to disruption from technology. 128 00:12:45,470 --> 00:12:46,940 If we look at past experience, 129 00:12:46,940 --> 00:12:56,570 technology has created so many more opportunities for economic value creation than it has for people than it has actually replaced. 130 00:12:56,780 --> 00:13:03,679 And in particular, they will talk about the 1922 rather critical piece issued by John Maynard Keynes, 131 00:13:03,680 --> 00:13:07,970 the Cambridge economist who talks about the threat of technological unemployment. 132 00:13:08,360 --> 00:13:15,080 Well, in some respects, Keynes was proved comprehensively wrong because, again, from a societal basis, 133 00:13:15,260 --> 00:13:23,600 the introduction of then industrial technology, such as the move and production line, created far more opportunity for jobs than actually replaced. 134 00:13:23,810 --> 00:13:25,550 But he has a point. He has a point. 135 00:13:26,270 --> 00:13:34,520 And that's where pessimists come into it that they pessimists, I think, would argue, well, you know, in the absence of employment structures, 136 00:13:34,520 --> 00:13:43,490 because we are replacing roles and tasks with particularly routine roles and tasks with technology, what do we do in the future is bleak. 137 00:13:44,120 --> 00:13:51,710 And I think some way how you start to think constructively about both and evaluate both is again by focusing at multiple levels. 138 00:13:52,520 --> 00:13:57,829 And I think if we think at a societal level, I'm an optimist, I am, because I think, again, 139 00:13:57,830 --> 00:14:03,350 the introduction of new technologies needed to make existing industry more efficient or to make it simply more innovative, 140 00:14:03,740 --> 00:14:10,309 particularly the introduction of things like ever more capable technologies will make companies and organisations 141 00:14:10,310 --> 00:14:17,330 that rely upon economic value and just the essential products and services that we we use and consume every day as, 142 00:14:17,330 --> 00:14:20,809 as people. It will simply make our organisations more capable. 143 00:14:20,810 --> 00:14:28,370 And that's, that can only be a good thing. So in that respect, I'm all for this and I think we should rush to embrace these technologies, 144 00:14:28,370 --> 00:14:34,490 understand them the meaning and the implications and how they're best managed, but actually supposed to think because it's progress. 145 00:14:35,360 --> 00:14:38,960 If I think about organisations within that, 146 00:14:39,890 --> 00:14:48,290 the winners organisation will be those that understand the environment and how it's changing and become adaptive and can embrace, 147 00:14:48,290 --> 00:14:52,210 for example, these new technologies, but not just technology. There's a whole lot of other things are changing. 148 00:14:52,220 --> 00:14:52,940 So for example, 149 00:14:52,940 --> 00:14:59,720 the introduction of millennials into the workforce and differing expectations of people in their relationship with the work they perform. 150 00:15:00,230 --> 00:15:04,530 So. It is the case that organisations, I think, will. Some will survive. 151 00:15:04,620 --> 00:15:11,070 Others will thrive in the differences. But quite simply how much they are and how effective they are. 152 00:15:11,940 --> 00:15:16,890 But where I can become potentially pessimistic is if we come down to the individual level, 153 00:15:17,430 --> 00:15:20,940 so not the societal level or even the organisational level at the individual level. 154 00:15:21,750 --> 00:15:29,399 What do we do if people can't or won't adapt to an environment in which the work that they have 155 00:15:29,400 --> 00:15:34,890 perhaps devoted their entire lives towards is no longer abundant or available or even viable. 156 00:15:35,790 --> 00:15:40,020 And I think that's why we need to start thinking about some of the implications of this. 157 00:15:40,620 --> 00:15:44,430 And that's not a hard thing to imagine, because we see that already, 158 00:15:44,760 --> 00:15:51,270 not not even in our industrial story, in our information revolution, but rather in industrial revolution. 159 00:15:52,020 --> 00:15:57,270 If we think about, for example, steelworkers in Sheffield, there is a you know, 160 00:15:57,270 --> 00:16:02,700 there is much post-industrial decline in many of our communities that we built up specifically to set our 161 00:16:02,700 --> 00:16:08,680 manufacturing base in the industrial revolution that have not transitioned to a post-industrial world. 162 00:16:09,240 --> 00:16:16,740 So we're going to have that plus many more communities or individuals who haven't in the future managed 163 00:16:16,740 --> 00:16:23,040 the transition to a post information world or a world in which their work is no longer viable. 164 00:16:23,040 --> 00:16:28,349 It's technically redundant. So that for me, you know, that's the big question. 165 00:16:28,350 --> 00:16:32,370 How do we help those who can't or won't? 166 00:16:33,410 --> 00:16:38,059 Make that transition, who can't share in the opportunities that these changes, 167 00:16:38,060 --> 00:16:42,170 both technological and otherwise, are creating that I think are inevitable. 168 00:16:42,620 --> 00:16:45,170 We can't roll back the tide on that, and we shouldn't. 169 00:16:45,620 --> 00:16:52,100 But it does need to be very carefully thought about, because the implication is is is I think further inequality, 170 00:16:52,460 --> 00:16:55,940 further division, further unrest, which is and nobody's interested. 171 00:16:56,240 --> 00:17:03,170 I mean, one thing that kind of really pushes me towards to ask you, before I came to business school, I used to work for Charlie Watts in schools. 172 00:17:03,440 --> 00:17:08,239 And when I think about the way our schools are organised and the way our system is 173 00:17:08,240 --> 00:17:12,560 organised and even the way kind of all universities and degrees are organised, 174 00:17:13,400 --> 00:17:19,240 it doesn't feel like we're ready. It doesn't feel like we're preparing people to work in this different way. 175 00:17:19,250 --> 00:17:25,570 It requires a different set of skills around leadership, around the way we interact with others, where we build relationships with others. 176 00:17:25,970 --> 00:17:34,730 And it makes me feel quite nervous about who is going to take responsibility for ensuring that everyone is ready, 177 00:17:35,120 --> 00:17:42,319 because that doesn't it feels like there's a void of responsibility between the individual, the state and companies. 178 00:17:42,320 --> 00:17:46,400 And that kind of contract doesn't seem to have been written yet on sort of. 179 00:17:46,670 --> 00:17:51,020 Okay, I'm going to put up my hand and I will take responsibility for making sure people are ready. 180 00:17:51,500 --> 00:17:55,040 Certainly, I feel quite pessimistic when I when I think about that. 181 00:17:56,210 --> 00:18:01,490 I mean, it's certainly true how we organise governments, how we organise the state, 182 00:18:01,490 --> 00:18:08,270 particularly in terms of public services and support, how we organise our universities, how we even organise our business schools. 183 00:18:08,270 --> 00:18:17,240 And specifically I'm based is a direct mirror image of the type of, I'm going to say work society that we create. 184 00:18:17,840 --> 00:18:28,730 It is no accident that the Oxford MBA, like every single MBA on the planet, is organised into verticals like functional subjects, 185 00:18:29,150 --> 00:18:38,780 strategy marketing, operations, organisational behaviour, finance, because that's how our companies work and actually it's the same in government. 186 00:18:39,470 --> 00:18:46,490 So we are organised industrially and we've been extremely successful at it and I really 187 00:18:46,490 --> 00:18:51,560 think that's worth noting is we are victims of our own success and we should celebrate that. 188 00:18:51,680 --> 00:18:56,330 But the question is, is that fit for purpose for how we will work in future? 189 00:18:56,720 --> 00:19:02,930 And by work I simply mean find an enduring occupation that invigorates us as individuals, 190 00:19:03,560 --> 00:19:08,060 but also the means by which we create value economically and otherwise, 191 00:19:08,450 --> 00:19:15,770 societally, as societies across the world, either as one global society or indeed multiple component constituent nations. 192 00:19:15,980 --> 00:19:19,910 And so what that looks like in future, I don't know. And do you? 193 00:19:19,940 --> 00:19:24,380 But I think you're right that we need to start asking these questions and asking them urgently. 194 00:19:24,800 --> 00:19:31,580 We need to think long term. We can't think about the next quarter or the next simply the next year, 195 00:19:31,700 --> 00:19:39,200 because that simply isn't going to help us start to prepare or even be in a position to be open minded. 196 00:19:39,290 --> 00:19:44,540 If and when change does, change does come. You know, in some sense, 197 00:19:44,540 --> 00:19:50,989 I think there is a tension between finding as much as possible and and allowing 198 00:19:50,990 --> 00:19:55,910 things to emerge and actually may be part of the challenge of the 21st century. 199 00:19:55,910 --> 00:19:59,720 The information age and the types of changes we're seeing is that actually we've got to do both. 200 00:20:00,020 --> 00:20:07,400 And that's really hard. We still I think and I think this especially to myself, that I see it in a lot of other people as well. 201 00:20:07,690 --> 00:20:12,830 I certainly see it in terms of our companies that we research here at the business school. 202 00:20:13,160 --> 00:20:16,100 We think in binary terms, we think in black and white. 203 00:20:16,100 --> 00:20:25,040 And then really we do that because that's efficient and it's simple, but the reality is that it's incredibly complex and therefore grey in future. 204 00:20:25,040 --> 00:20:31,040 And, and so then you get into very much a kind of political, ideological perspective, and nobody wants to hear me talk about that because who am I? 205 00:20:31,730 --> 00:20:38,030 But I do think that there is it will be there a fight between those that think that 206 00:20:38,030 --> 00:20:42,379 the answers will come from heroic individuals or indeed individuals themselves, 207 00:20:42,380 --> 00:20:49,910 working it out for themselves and in aggregate all of us just hopefully getting along enough for long enough or finding some collective solution, 208 00:20:50,360 --> 00:20:55,490 which isn't to say something which is towards the socialist end of the political spectrum, 209 00:20:55,790 --> 00:21:01,399 but finding a collective way through, probably some of these collective systemic challenges that we're facing, 210 00:21:01,400 --> 00:21:09,740 which aren't just simply economic or social, but they are every aspect of what it means to be a citizen in a in a health exercise. 211 00:21:12,140 --> 00:21:19,910 After my conversation with Professor Trevor, we caught up with Google's chief economist Hal Varian at the annual Responsible Business Forum, 212 00:21:20,630 --> 00:21:25,070 where he delivered a keynote address on the topic of AI and its impact on the future of work. 213 00:21:25,340 --> 00:21:32,360 Unfortunately, I was unavailable, so two of our producers, Brady and Patrick, dragged him into our studio to have a conversation. 214 00:21:32,570 --> 00:21:39,440 However, it is an optimist. He believes that machines will step in to fill the labour shortage left by a wave of retiring baby boomers. 215 00:21:40,070 --> 00:21:46,310 He also, in the conversation, shed some light on how tech platforms such as Google and YouTube can help bridge the skills gap. 216 00:21:49,590 --> 00:21:53,610 My name is Hal Varian. I am the chief economist at Google. 217 00:21:54,270 --> 00:21:58,170 Welcome to the Oxford Futures podcast. Professor Varian, it's great to have you here. 218 00:21:58,560 --> 00:22:05,010 You were just giving a talk on automation and demography and how the dynamic works there and sort of implied that 219 00:22:05,190 --> 00:22:10,749 while there might be a lot of pessimism about automation and job loss out there in discussion at the moment, 220 00:22:10,750 --> 00:22:17,610 that might actually be a boon. And to sort of replace some of the baby boomers are retiring and they might sort of offset each other. 221 00:22:17,640 --> 00:22:19,740 Could you just run us through that? Right. 222 00:22:19,740 --> 00:22:28,420 So everybody focuses on the demand side for labour and then new technology comes along that can displace labour. 223 00:22:28,440 --> 00:22:32,400 There could be lots of social disruptions associated with that. 224 00:22:32,940 --> 00:22:40,440 Now, what I looked at was what the supply of labour will look like over the next few decades. 225 00:22:41,070 --> 00:22:47,910 There's really only one social science it can forecast ten or 20 years into the future, and that's demography. 226 00:22:48,420 --> 00:22:54,960 And there the patterns are quite clear. If you look at the developing countries, you're seeing ageing society. 227 00:22:55,440 --> 00:23:00,630 And every time a worker retires, they expect to continue consuming. 228 00:23:01,110 --> 00:23:07,139 So the workers that are left behind, that are still working, have to have to be more efficient. 229 00:23:07,140 --> 00:23:20,190 And for that to occur, they have to be more productive. And that effect is really says that we have to invest more in making work more productive. 230 00:23:20,370 --> 00:23:24,810 You know, we've grown up in a period where maybe I've grown up in a period, I should say, 231 00:23:25,320 --> 00:23:33,180 when there's been a pretty loose labour market because of all of the baby boomers coming onto the labour market and women entering the labour market, 232 00:23:33,180 --> 00:23:36,780 it's typically been possible to find workers. 233 00:23:37,140 --> 00:23:46,880 But we're moving into a period where labour is going to be substantially more scarce and there's going to be more competition for workers overall. 234 00:23:46,890 --> 00:23:51,960 That should be a good thing. Pushes wages up and makes it easier to find a job. 235 00:23:52,200 --> 00:23:56,489 What we might what we have to focus on are than these other questions how can we deliver 236 00:23:56,490 --> 00:24:04,890 training more efficiently and how can we assist people in matching up the workers and the jobs? 237 00:24:05,130 --> 00:24:07,440 So following on that point about training, 238 00:24:07,740 --> 00:24:13,350 automation and computing will play a huge role in retraining people to meet demands of the future workforce. 239 00:24:13,380 --> 00:24:23,970 What is Google doing specifically? So we're doing a number of educational and training courses around the U.S. and the world, for that matter. 240 00:24:24,780 --> 00:24:31,679 One thing that I've been particularly interested in is looking at the resources are available on YouTube because there's just so 241 00:24:31,680 --> 00:24:42,610 many diverse sets of education and training videos on YouTube that it's an absolutely remarkable treasure trove of such activities. 242 00:24:42,610 --> 00:24:46,889 So if you want to know how to weld or you want to know how to fix your toilet, 243 00:24:46,890 --> 00:24:52,380 or you want to know how to rewire your thermostat or any of these questions, there it is. 244 00:24:53,340 --> 00:25:03,420 It's available on YouTube. And many, many, many of those educational and training videos are important for learning job related skills. 245 00:25:04,470 --> 00:25:11,670 So you're going to be able to match the that training to sort of the supply and demand requirements of the future workforce. 246 00:25:11,670 --> 00:25:17,730 So it's like some sort of sorting or allocation thing so they know what they need to study or is it? 247 00:25:18,030 --> 00:25:22,080 Well, it's an excellent question, but let me remind you of Google's business. 248 00:25:22,440 --> 00:25:29,909 Oh, we tried to do exactly that. And pretty much every domain, we're matching people with questions to people with answers. 249 00:25:29,910 --> 00:25:33,510 People want to buy things for people want to sell things and people want to 250 00:25:33,510 --> 00:25:37,470 acquire skills and people who can who can provide that training and education. 251 00:25:38,040 --> 00:25:46,080 So I don't care if it's art, if it's music, if it's carpentry, if it's automotive, 252 00:25:46,890 --> 00:25:51,330 we have content there that's going to help people learn to do the things they want to do. 253 00:25:51,900 --> 00:25:57,530 In your talk, you talked about automation, reducing some of the barriers to previously complex tasks. 254 00:25:57,530 --> 00:26:00,780 So yes, means that it's much easier to become a driver. 255 00:26:00,780 --> 00:26:03,600 You don't need to know the streets of your car to be a taxi driver. 256 00:26:03,900 --> 00:26:09,809 Still checking reduces the burden of some of the sort of computer related tasks, for example. 257 00:26:09,810 --> 00:26:14,430 So how does that work? Do you see that developing any further? Is that going to help people get jobs a lot easier? 258 00:26:14,910 --> 00:26:20,370 Yes, of course. What's nice is it's a lot easier writing papers. 259 00:26:20,370 --> 00:26:26,519 And it used to be because you've got all of this assistance in terms of style guides and spelling guides and everything else. 260 00:26:26,520 --> 00:26:34,740 It's a lot easier navigating around town because you have these fantastic geo positioning systems available for free. 261 00:26:35,460 --> 00:26:43,140 When I was a kid, believe it or not, we spent a week or so in arithmetic class learning how to take square roots by hand. 262 00:26:44,010 --> 00:26:48,750 So that's a pretty obsolete task these days. I think there'll be a limit to. 263 00:26:48,810 --> 00:26:55,710 How low that sort of cognitive threshold will go, how how much technology can augment people in the work they do? 264 00:26:55,920 --> 00:27:00,580 Well, the examples that are really fun now are to use Google Lens. 265 00:27:00,600 --> 00:27:09,120 If you take your Google camera and go out and photograph a shrub or a tree or a flower, 266 00:27:09,600 --> 00:27:13,559 it will come back with a result that tells you the name of the shrub, 267 00:27:13,560 --> 00:27:20,160 the tree, the power, and what kind of treatment it needs water, some acid soil or local soil. 268 00:27:20,670 --> 00:27:26,100 So all of those things that you used to have to look up in the gardening manual, 269 00:27:26,100 --> 00:27:30,840 now just come to you immediately via the via the about via your phone. 270 00:27:31,380 --> 00:27:35,880 You also have spoken about some of the sort of manual tasks that people assume 271 00:27:35,880 --> 00:27:40,020 will be the first to be automated or actually made up some very complex, 272 00:27:40,380 --> 00:27:44,070 numerous tasks that you might need one robot to do each individual thing. 273 00:27:44,190 --> 00:27:48,600 Mm hmm. And taken together with sort of that Google lens example you just gave. 274 00:27:48,630 --> 00:27:53,700 Do you think manual roles or sort of cognitive roles will be the most at risk to automation? 275 00:27:54,930 --> 00:28:03,300 Well, I think that we've seen tremendous advance and machine learning, machine learning artificial intelligence areas in the last five years. 276 00:28:03,630 --> 00:28:08,250 And we haven't really seen a comparable explosion on the robotics side. 277 00:28:08,760 --> 00:28:16,890 So let's take something like harvesting crops while we harvest core and we harvest weed using mechanical equipment works just fine. 278 00:28:17,520 --> 00:28:23,700 But if we're trying to harvest apples, peaches, plums, pears, strawberries, raspberries, grapes, 279 00:28:23,700 --> 00:28:30,210 on and on and on, these soft fruits can be so easily damaged that really they still require human touch. 280 00:28:30,370 --> 00:28:35,520 Now, someday we might like that problem, but for now, at least, it's it's still a problem. 281 00:28:37,110 --> 00:28:40,740 Interesting. So understanding. This is where at a business school. 282 00:28:40,890 --> 00:28:44,750 This is a business podcast. It'd be great to get your take on first. 283 00:28:44,760 --> 00:28:48,450 What do you see as the biggest opportunity for the young professionals coming out of business school, 284 00:28:48,540 --> 00:28:53,700 coming out of undergrads with these two looming technology and shortage of labour in developed countries? 285 00:28:54,090 --> 00:28:57,480 And then ultimately, what's the biggest threat and where should we be looking? 286 00:28:58,410 --> 00:29:04,070 Well, in the U.S., I would say health care is going to be employing more and more people, 287 00:29:04,530 --> 00:29:10,889 maybe inefficiently, but they'll certainly be probably they'll be engaging more and more people. 288 00:29:10,890 --> 00:29:14,070 And there's a lot of challenges there to making our system more efficient. 289 00:29:15,330 --> 00:29:19,710 So I think that's probably a good area for people to go into. 290 00:29:20,190 --> 00:29:26,550 But that technology, just kind of high tech that we see in Silicon Valley is doing tremendous things. 291 00:29:26,790 --> 00:29:29,880 Think about the driverless vehicles, autonomous vehicles. 292 00:29:30,330 --> 00:29:33,570 Well, that's $1,000,000,000,000 a year industry worldwide. 293 00:29:34,020 --> 00:29:38,700 And there is intense competition going on among the auto companies and the tech 294 00:29:38,700 --> 00:29:45,480 companies to be able to provide services that really work for ordinary users. 295 00:29:45,780 --> 00:29:50,310 So that's going to be a very exciting business as well. Excellent. 296 00:29:50,760 --> 00:29:56,130 Thanks. And then what do you think are the biggest challenges? Are threats that we face with with the way trends are going? 297 00:29:56,370 --> 00:29:57,930 Yeah. Well, 298 00:29:57,960 --> 00:30:11,280 a lot of there may be cases where some technological change happens so rapidly that people really find it difficult to adjust to the to the change. 299 00:30:11,280 --> 00:30:16,190 So that could happen in trucking, for example, lots and lots of truck drivers. 300 00:30:16,200 --> 00:30:23,620 Right now, there's 50,000 vacant truck driver jobs in the U.S. They can't retain people because it's a terrible job. 301 00:30:23,640 --> 00:30:28,590 Salaries are being pushed up to $80,000 to be a long haul truck driver. 302 00:30:29,160 --> 00:30:31,440 That's a pretty good salary. 303 00:30:32,460 --> 00:30:41,160 But it also means that it's even more incentive to try to replace those human truck drivers working in not very good, but high paying positions. 304 00:30:42,600 --> 00:30:52,559 There's a race to see if we could really improve that job by making it one more user 305 00:30:52,560 --> 00:31:01,080 friendly that is making the task less tedious and to by making the tasks cheaper. 306 00:31:02,250 --> 00:31:07,230 I think they're going to be slow enough that the labour markets can adapt. 307 00:31:07,620 --> 00:31:13,560 But what you ask for the pessimistic view, it could be that something will come on so quickly that it would create a lot of disruption. 308 00:31:14,010 --> 00:31:21,870 So the key is, is more timing than it is. Well, I think phasing things in and when you look at technology in general, it's it's phased in. 309 00:31:21,900 --> 00:31:33,240 You look at, for example, mobile phones, first mobile phone for commercial uses was about $2,000 came out of 1980. 310 00:31:33,240 --> 00:31:37,770 And it was the size and shape of a brick. So things have changed a lot. 311 00:31:37,800 --> 00:31:41,050 The big phones. Yeah, that's exactly right. Yeah. 312 00:31:41,070 --> 00:31:44,729 So it's changed a lot. Things have changed a lot since then. 313 00:31:44,730 --> 00:31:48,480 But then again, it's been nearly 40 years, right? 314 00:31:58,580 --> 00:32:03,230 Thank you for listening to the Oxford Feature Business Podcast presented by say Business School. 315 00:32:04,040 --> 00:32:09,680 Next week I'm in conversation with Nick Howe, vice president of Virgin Hyperloop One, 316 00:32:09,980 --> 00:32:14,480 where we discuss the future of hyper fast transport and what it means for the planet and our cities. 317 00:32:15,140 --> 00:32:21,980 Please subscribe on iTunes and if you want to find out more about what we discuss in today's episode, you can follow the link in the description. 318 00:32:23,030 --> 00:32:26,550 The Feature Business Podcast was created by Brady, Middleton, Patrick, Kyla, 319 00:32:26,570 --> 00:32:31,460 Michael and Paula, Paris Abro and Emily Byrne, MBA students at City Business School. 320 00:32:36,500 --> 00:32:37,260 All.