1 00:00:02,520 --> 00:00:18,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:12,600 --> 00:00:15,159 Speaker 2: Single best idea and we'll do this quickly. Here is 3 00:00:15,200 --> 00:00:18,400 Speaker 2: just a really eclectic, interesting market in the Jobs day 4 00:00:18,400 --> 00:00:21,120 Speaker 2: Tomorrow we'll go beneath the headline data. At eight thirty 5 00:00:21,320 --> 00:00:23,800 Speaker 2: today we did a broader view and with Torston Slock 6 00:00:24,239 --> 00:00:27,120 Speaker 2: at Deutsche Bank and Definitive for years there and then 7 00:00:27,200 --> 00:00:30,360 Speaker 2: over to Apollo Global Management. Really hold the court just 8 00:00:30,400 --> 00:00:33,640 Speaker 2: did a beautiful thing with Joe and Tracy out at Outletz. 9 00:00:33,960 --> 00:00:38,600 Speaker 2: But we talked to him about something timeless, the old 10 00:00:38,640 --> 00:00:43,600 Speaker 2: world versus the new world. Torston Slock on how America 11 00:00:43,680 --> 00:00:45,400 Speaker 2: is different from Europe. 12 00:00:45,720 --> 00:00:48,280 Speaker 3: The bankruptcy laws also in the US give you quote 13 00:00:48,320 --> 00:00:52,360 Speaker 3: unquote a second chance. Bankruptcy laws in most of European 14 00:00:52,400 --> 00:00:55,080 Speaker 3: countries do not give you a second chance. That's all 15 00:00:55,080 --> 00:00:58,360 Speaker 3: these issues about recalls non recalls. If I go bankrupt 16 00:00:58,440 --> 00:01:00,280 Speaker 3: in the US, I can have a clean late, I 17 00:01:00,280 --> 00:01:02,720 Speaker 3: can start a new business. In many European countries, if 18 00:01:02,720 --> 00:01:05,679 Speaker 3: I go bankrupt, I owe people money for decades. So 19 00:01:05,720 --> 00:01:08,000 Speaker 3: that's why this whole issue about how quickly can you 20 00:01:08,040 --> 00:01:09,240 Speaker 3: come out of bankruptcy codes? 21 00:01:09,319 --> 00:01:10,320 Speaker 2: Can you start a new business? 22 00:01:10,360 --> 00:01:13,200 Speaker 3: How dynamic is your economy? All these things are really 23 00:01:13,200 --> 00:01:15,360 Speaker 3: important for the Europeans and I think they're moving in 24 00:01:15,360 --> 00:01:17,319 Speaker 3: the right direction on a number of different fronts, but 25 00:01:17,480 --> 00:01:20,560 Speaker 3: unfortunately it's just not moving fast enough because as we 26 00:01:20,600 --> 00:01:22,520 Speaker 3: all know and we EXAC can talk about here, the 27 00:01:22,640 --> 00:01:25,120 Speaker 3: US is just ahead, especially in this case when it 28 00:01:25,120 --> 00:01:25,720 Speaker 3: comes to AI. 29 00:01:26,160 --> 00:01:29,720 Speaker 2: Tersta Slock and he has been very optimistic about the 30 00:01:29,840 --> 00:01:34,840 Speaker 2: productivity story and artificial intelligence. What a joy today to 31 00:01:34,880 --> 00:01:37,920 Speaker 2: have in from London Business School and also her work 32 00:01:37,959 --> 00:01:43,640 Speaker 2: at Duke Rebecca Humkiss, She's just absolutely wonderful thinking about AI. 33 00:01:43,840 --> 00:01:47,480 Speaker 2: It's more of a MBA business school like what's going 34 00:01:47,560 --> 00:01:51,120 Speaker 2: to happen down the road Rebecca Humkiss and the future 35 00:01:51,280 --> 00:01:52,840 Speaker 2: of artificial intelligence. 36 00:01:53,240 --> 00:01:56,600 Speaker 4: AI is a different growth story, but it is changing 37 00:01:56,640 --> 00:01:58,920 Speaker 4: some of the math about how we think about investment 38 00:01:58,960 --> 00:02:03,040 Speaker 4: returns inside orgations. But it is still very very early days. 39 00:02:03,560 --> 00:02:06,680 Speaker 4: The majority of organizations that are bringing AI in are 40 00:02:06,720 --> 00:02:09,160 Speaker 4: not really seeing growth gains. They're seeing a bit of 41 00:02:09,160 --> 00:02:12,560 Speaker 4: productivity or cost reduction, but we're not really seeing a 42 00:02:12,560 --> 00:02:14,959 Speaker 4: lot of the use case that are generating detrimental revenue 43 00:02:15,040 --> 00:02:17,800 Speaker 4: or value creation for organizations. Again, we're early days, but 44 00:02:18,480 --> 00:02:20,120 Speaker 4: the last couple of months are showing a little bit 45 00:02:20,120 --> 00:02:21,920 Speaker 4: more doubt about how much these investments are going to 46 00:02:21,919 --> 00:02:23,000 Speaker 4: translate into returns. 47 00:02:23,320 --> 00:02:27,200 Speaker 2: Rebecca hum Kiss of the London Business School on podcasts 48 00:02:27,200 --> 00:02:31,040 Speaker 2: at Spotify, at Apple A YouTube podcasts, it's single best 49 00:02:31,200 --> 00:02:33,320 Speaker 2: idea