WEBVTT 1 00:00:00.690 --> 00:00:04.050 So generative AI will be a revolution. 2 00:00:04.050 --> 00:00:07.920 Today, everyone and the headlines are focusing 3 00:00:07.920 --> 00:00:11.971 on its technical limitations and on productivity gains. 4 00:00:11.971 --> 00:00:13.530 (gentle music) 5 00:00:13.530 --> 00:00:16.770 But tomorrow, it will be a product 6 00:00:16.770 --> 00:00:18.543 and business model innovation. 7 00:00:20.220 --> 00:00:25.220 And this is why generative AI, in such an aha moment, 8 00:00:25.350 --> 00:00:27.720 is a CEO question. 9 00:00:27.720 --> 00:00:30.150 And the CEOs need to think about it 10 00:00:30.150 --> 00:00:34.380 as if all their employees, not an elite, 11 00:00:34.380 --> 00:00:38.790 all their employees had read everything 12 00:00:38.790 --> 00:00:43.497 and had an infinite memory that sometimes, of course, 13 00:00:43.497 --> 00:00:45.810 can become a source of hallucination. 14 00:00:45.810 --> 00:00:48.300 Memory is not reliable. 15 00:00:48.300 --> 00:00:51.780 So, generative AI is like nitroglycerin. 16 00:00:51.780 --> 00:00:53.850 It's extremely powerful, 17 00:00:53.850 --> 00:00:56.280 but needs to get handled cautiously. 18 00:00:56.280 --> 00:01:01.280 And this is why CEOs need to think about three things. 19 00:01:01.650 --> 00:01:05.970 The first one is to generate responsible AI 20 00:01:05.970 --> 00:01:08.700 policies and mitigation strategies 21 00:01:08.700 --> 00:01:10.503 dedicated to generative AI. 22 00:01:12.360 --> 00:01:17.360 Second is to grasp the full potential of generative AI 23 00:01:17.910 --> 00:01:21.630 by identifying and implementing the use cases 24 00:01:21.630 --> 00:01:24.933 that will become a source of competitive advantage. 25 00:01:26.280 --> 00:01:30.270 Find these golden use cases by experimenting 26 00:01:30.270 --> 00:01:33.333 to fully understand the depths of generative AI. 27 00:01:34.650 --> 00:01:39.270 Third, also use these experiments to understand 28 00:01:39.270 --> 00:01:44.043 how generative AI will impact people in your organization. 29 00:01:45.000 --> 00:01:48.930 Use this knowledge to redefine operating models 30 00:01:48.930 --> 00:01:51.390 and organizational blueprints, 31 00:01:51.390 --> 00:01:53.493 but during this redefinition, 32 00:01:54.360 --> 00:01:58.920 take extra care of the professional identity 33 00:01:58.920 --> 00:02:02.313 of your employees through change management. 34 00:02:03.450 --> 00:02:07.650 Do not underestimate how much their professional identity 35 00:02:07.650 --> 00:02:10.777 will be impacted by generative AI. 36 00:02:10.777 --> 00:02:14.194 (gentle music continues)