WEBVTT 1 00:00:00.240 --> 00:00:02.910 If you wanted to really help eight billion people 2 00:00:02.910 --> 00:00:05.430 grapple with the world of AI, 3 00:00:05.430 --> 00:00:07.860 then you needed to help the 150 million educators 4 00:00:07.860 --> 00:00:10.860 and instructors out there to help the eight billion. 5 00:00:10.860 --> 00:00:15.390 How do you keep a 180-year-old company relevant? 6 00:00:15.390 --> 00:00:19.350 This is something that Pearson has done time and again 7 00:00:19.350 --> 00:00:21.480 and is doing it again today. 8 00:00:21.480 --> 00:00:25.715 I'm Ernesto Pagano and this is Bold Moves in TMT. 9 00:00:25.715 --> 00:00:28.382 (upbeat music) 10 00:00:30.150 --> 00:00:33.720 Our guest is Omar Abbosh, CEO of Pearson. 11 00:00:33.720 --> 00:00:36.150 From its beginning as a construction company 12 00:00:36.150 --> 00:00:39.510 to a famous publisher to a major force in education, 13 00:00:39.510 --> 00:00:42.900 Pearson has reinvented itself multiple times. 14 00:00:42.900 --> 00:00:45.780 Omar, thank you so much for being with us today. 15 00:00:45.780 --> 00:00:47.190 It's my pleasure. 16 00:00:47.190 --> 00:00:49.110 When you started, 17 00:00:49.110 --> 00:00:53.040 you found Pearson being a holding company 18 00:00:53.040 --> 00:00:57.390 of several businesses and many, many P&Ls. 19 00:00:57.390 --> 00:01:00.510 And you're trying to shift from a holding concept 20 00:01:00.510 --> 00:01:02.580 towards an operating concept. 21 00:01:02.580 --> 00:01:04.080 How are you doing that? 22 00:01:04.080 --> 00:01:06.900 So Pearson was built up with a lot of M&A. 23 00:01:06.900 --> 00:01:09.210 So if you go back to the days of Marjorie Scordino, 24 00:01:09.210 --> 00:01:10.650 the company was truly conglomerate, 25 00:01:10.650 --> 00:01:11.640 like a proper conglomerate. 26 00:01:11.640 --> 00:01:15.000 We owned Madame Tussauds, we owned Chateau Latour, 27 00:01:15.000 --> 00:01:17.130 we owned a stake in Lazard's bank, 28 00:01:17.130 --> 00:01:18.450 and, of course, The Economist 29 00:01:18.450 --> 00:01:20.820 and Penguin Random House and the FT. 30 00:01:20.820 --> 00:01:23.250 And so the people who were at the top of the company 31 00:01:23.250 --> 00:01:26.100 actually were promoted through the ranks of finance and M&A. 32 00:01:26.100 --> 00:01:27.360 Those are not operators. 33 00:01:27.360 --> 00:01:30.300 They're amazingly smart finance people, 34 00:01:30.300 --> 00:01:33.390 sometimes strategists, but not typically operators. 35 00:01:33.390 --> 00:01:35.070 So to make the shift to the operating company, 36 00:01:35.070 --> 00:01:37.380 we had to think about firstly leadership. 37 00:01:37.380 --> 00:01:38.970 How do I have a set of leaders 38 00:01:38.970 --> 00:01:41.700 who have either deep customer instincts 39 00:01:41.700 --> 00:01:43.950 or deep product instincts? 40 00:01:43.950 --> 00:01:46.110 If you don't have that in the front, 41 00:01:46.110 --> 00:01:47.640 then you're not operating. 42 00:01:47.640 --> 00:01:49.770 Probably the biggest difference for our people 43 00:01:49.770 --> 00:01:51.090 is, in the past, 44 00:01:51.090 --> 00:01:52.950 when you lived in 1 of the 25 little silos, 45 00:01:52.950 --> 00:01:55.950 you literally couldn't see what was happening elsewhere. 46 00:01:55.950 --> 00:01:58.350 Harmonizing to a single career architecture, 47 00:01:58.350 --> 00:02:00.420 helping people say, "Well, actually these are the levels. 48 00:02:00.420 --> 00:02:02.010 These are the expectations of the roles. 49 00:02:02.010 --> 00:02:03.480 This is a go-to-market career path. 50 00:02:03.480 --> 00:02:04.800 This is a product career path. 51 00:02:04.800 --> 00:02:06.960 This is a learning and content development career path," 52 00:02:06.960 --> 00:02:10.200 that allows you to create movement of careers 53 00:02:10.200 --> 00:02:12.720 and allows us to create career pathways for our people. 54 00:02:12.720 --> 00:02:13.553 And that should be 55 00:02:13.553 --> 00:02:15.210 one of the biggest differences for our folks. 56 00:02:15.210 --> 00:02:18.660 Sounds like a lot of hard work to do that. 57 00:02:18.660 --> 00:02:21.600 Something that they should have done maybe earlier. 58 00:02:21.600 --> 00:02:23.340 Companies are always in flux, 59 00:02:23.340 --> 00:02:24.930 always moving and always changing. 60 00:02:24.930 --> 00:02:26.820 And I think Pearson has been doing a lot of that, 61 00:02:26.820 --> 00:02:27.960 as you said, beforehand. 62 00:02:27.960 --> 00:02:30.450 Over 182 years, it pivoted many, many times. 63 00:02:30.450 --> 00:02:31.740 And this is just the latest sequence. 64 00:02:31.740 --> 00:02:33.480 I think we've had, you know, a change arc 65 00:02:33.480 --> 00:02:35.370 to become more of an education 66 00:02:35.370 --> 00:02:36.990 and learning company for the world. 67 00:02:36.990 --> 00:02:40.050 And now we want to be the leading 68 00:02:40.050 --> 00:02:42.000 lifelong learning company in the world. 69 00:02:42.000 --> 00:02:43.740 And that's the shift that we're making now. 70 00:02:43.740 --> 00:02:45.450 You see the role of the CEO 71 00:02:45.450 --> 00:02:47.820 also has the role as the chief learning officer. 72 00:02:47.820 --> 00:02:50.970 So tell us more about, what do you mean with that? 73 00:02:50.970 --> 00:02:52.470 Okay, so this is a bit of a story. 74 00:02:52.470 --> 00:02:54.240 So if I can unpack it a little bit. 75 00:02:54.240 --> 00:02:56.280 AI, I believe, 76 00:02:56.280 --> 00:02:59.460 will fundamentally change every single industry, 77 00:02:59.460 --> 00:03:01.500 most processes, most jobs, 78 00:03:01.500 --> 00:03:04.110 over the next ten years in a very profound way. 79 00:03:04.110 --> 00:03:06.960 I don't believe in the doom story of the AI job apocalypse. 80 00:03:06.960 --> 00:03:08.370 I think that's a load of nonsense. 81 00:03:08.370 --> 00:03:11.580 It actually looks like re-engineering in the 1990s 82 00:03:11.580 --> 00:03:13.710 where you go in a very profound and deep way to say, 83 00:03:13.710 --> 00:03:15.780 actually, these tools, these new tools 84 00:03:15.780 --> 00:03:16.800 are unbelievably powerful. 85 00:03:16.800 --> 00:03:18.180 How do I put them to use? 86 00:03:18.180 --> 00:03:20.010 And the long pole in the tent, 87 00:03:20.010 --> 00:03:22.620 as you know, is always the people. 88 00:03:22.620 --> 00:03:23.910 It's never the technology. 89 00:03:23.910 --> 00:03:26.220 And so you have to bring the people with you. 90 00:03:26.220 --> 00:03:29.010 And that is literally a CEO-level job. 91 00:03:29.010 --> 00:03:30.870 And so the CEO has to think hard about, "Actually, 92 00:03:30.870 --> 00:03:32.550 how do I help people learn? 93 00:03:32.550 --> 00:03:33.960 How do I help them thrive in this era? 94 00:03:33.960 --> 00:03:36.780 How do I equip them to be successful in this era? 95 00:03:36.780 --> 00:03:38.340 How do I overcome the fears? 96 00:03:38.340 --> 00:03:39.510 How do I overcome the resistance? 97 00:03:39.510 --> 00:03:41.760 How do I drive motivation in this era 98 00:03:41.760 --> 00:03:44.190 where they can elevate with a load of AI agents 99 00:03:44.190 --> 00:03:47.010 and actually perform better, faster, cheaper than before?" 100 00:03:47.010 --> 00:03:48.150 And that's the journey in front of us. 101 00:03:48.150 --> 00:03:50.340 I think all companies are going to have to go through that 102 00:03:50.340 --> 00:03:53.640 and that's why the CEO is the chief learning officer. 103 00:03:53.640 --> 00:03:54.990 Omar, thank you so much 104 00:03:54.990 --> 00:03:57.930 for being part of Bold Moves in TMT. 105 00:03:57.930 --> 00:03:59.322 Thank you so much. 106 00:03:59.322 --> 00:04:01.905 (bright music)