1 00:00:02,520 --> 00:00:12,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:12,520 --> 00:00:15,480 Speaker 2: A single best idea, which is probably that today was 3 00:00:15,480 --> 00:00:18,680 Speaker 2: the single most original jobs day ever. It's a Tuesday, 4 00:00:19,320 --> 00:00:21,680 Speaker 2: and we had a sort of kind of like October 5 00:00:21,920 --> 00:00:25,400 Speaker 2: jobs report, a November jobs report two weeks after we 6 00:00:25,400 --> 00:00:27,680 Speaker 2: were supposed to see it, and then I guess we 7 00:00:27,760 --> 00:00:29,920 Speaker 2: move on to January. In two days we have the 8 00:00:30,000 --> 00:00:35,400 Speaker 2: inflation report, which I think is pretty much normal, but 9 00:00:35,520 --> 00:00:37,680 Speaker 2: don't hold me to that. I'll talk to Mike mckeeth 10 00:00:38,000 --> 00:00:41,840 Speaker 2: about that. It's an odd time coming out of government shutdown. 11 00:00:42,159 --> 00:00:44,839 Speaker 2: One of the oddities we've seen his rotation in the market. 12 00:00:45,120 --> 00:00:47,560 Speaker 2: Bringing up a theory which goes back one hundred years, 13 00:00:47,640 --> 00:00:51,360 Speaker 2: the Dow theory. The Dow theory is that the stars 14 00:00:51,360 --> 00:00:56,480 Speaker 2: aligned when the Dow Jones industrial average and the transportations 15 00:00:57,040 --> 00:01:01,840 Speaker 2: and the utilities go up together or down together. A 16 00:01:01,880 --> 00:01:04,120 Speaker 2: lot of good academic work on this in the nineteen 17 00:01:04,200 --> 00:01:07,160 Speaker 2: thirties and the depression, and it was sort of gospel 18 00:01:07,280 --> 00:01:12,120 Speaker 2: through World War Two and on my parents' fifties and sixties. 19 00:01:12,280 --> 00:01:16,360 Speaker 2: David Rosenberg of Rosenberg research on the Dow theory. 20 00:01:16,959 --> 00:01:20,240 Speaker 3: The Dow theory advocates obviously like what they're seeing I 21 00:01:20,280 --> 00:01:22,679 Speaker 3: don't know, Tom, if you look at it more from 22 00:01:22,680 --> 00:01:26,880 Speaker 3: a fundamental perspective, what the transports are really telling you, 23 00:01:27,319 --> 00:01:29,760 Speaker 3: except for the fact that oil and fuel prices are 24 00:01:29,760 --> 00:01:35,600 Speaker 3: coming down. So there's a historic inverse correlation of minus 25 00:01:35,640 --> 00:01:38,720 Speaker 3: fifty minus sixty percent between what oil prices do in 26 00:01:38,720 --> 00:01:42,880 Speaker 3: the transports. So the transports are seeing their margins improve 27 00:01:43,080 --> 00:01:46,320 Speaker 3: because of this exogenous development taking place. On the oil 28 00:01:46,360 --> 00:01:51,240 Speaker 3: price going down, is it giving any confirmation on the economy? 29 00:01:51,560 --> 00:01:53,000 Speaker 3: I would push against that view. 30 00:01:53,680 --> 00:01:56,680 Speaker 2: Really interesting idea there on oil, of course, the oil 31 00:01:57,440 --> 00:01:59,960 Speaker 2: Brent crude, the global price under sixty dollars a bit, 32 00:02:00,160 --> 00:02:03,960 Speaker 2: or West Texas Intermediate the American price so much based 33 00:02:03,960 --> 00:02:08,760 Speaker 2: off Texas and Oklahoma. West Texas Intermediate clocks in under 34 00:02:08,800 --> 00:02:12,520 Speaker 2: fifty six dollars a barrel. Those are wow statistics into 35 00:02:12,560 --> 00:02:14,959 Speaker 2: the end of the year. I do want to note 36 00:02:15,000 --> 00:02:19,440 Speaker 2: here that David Rosenberg spoke of Stephen Myron's disinflationary call 37 00:02:20,000 --> 00:02:23,240 Speaker 2: and really gave it some credence. There's a raging debate 38 00:02:23,840 --> 00:02:26,920 Speaker 2: about what inflation will be Q one of next year 39 00:02:27,360 --> 00:02:29,440 Speaker 2: and in to say, fourth of July Q two, what 40 00:02:29,480 --> 00:02:32,119 Speaker 2: will we see, say the end of May, what will 41 00:02:32,120 --> 00:02:35,720 Speaker 2: you see in that inflation report of June of next year. 42 00:02:36,160 --> 00:02:39,160 Speaker 2: What a raging debate right now. We'll do a lot 43 00:02:39,200 --> 00:02:42,960 Speaker 2: on that, I'm sure in the next six months. Think 44 00:02:43,000 --> 00:02:45,960 Speaker 2: Tank of the Year, without question, the Budget Lab at Yale, 45 00:02:46,000 --> 00:02:51,359 Speaker 2: their leadership on tariff analysis was outstanding. Martha Gimble drives 46 00:02:51,360 --> 00:02:54,280 Speaker 2: the ship, earning Tedesky with a shout out for the 47 00:02:54,320 --> 00:02:57,640 Speaker 2: work on tariff's. They're now beginning to look at AI 48 00:02:58,639 --> 00:03:01,240 Speaker 2: and they have an initial report. They make clear that 49 00:03:01,280 --> 00:03:04,639 Speaker 2: it's just a first report of many to come. This 50 00:03:04,680 --> 00:03:08,480 Speaker 2: is the Budget Lab at Yale and they're Martha Gimble 51 00:03:08,680 --> 00:03:09,480 Speaker 2: on AI. 52 00:03:09,760 --> 00:03:11,680 Speaker 4: I mean, it would be unusual, right for there to 53 00:03:11,720 --> 00:03:15,480 Speaker 4: be no labor market disruption when you introduce a major 54 00:03:15,560 --> 00:03:19,040 Speaker 4: new technology. I think the thing that everyone keeps forgetting 55 00:03:19,240 --> 00:03:24,239 Speaker 4: right is that it takes time for technological disruption to happen. 56 00:03:24,320 --> 00:03:28,200 Speaker 4: It took decades for electricity to disrupt the labor market. 57 00:03:28,600 --> 00:03:31,360 Speaker 4: It even took a pretty long time for the Internet 58 00:03:31,400 --> 00:03:34,079 Speaker 4: to kick in, right. It wasn't like immediately in nineteen 59 00:03:34,120 --> 00:03:37,440 Speaker 4: ninety seven we were changing all the things, and so 60 00:03:37,520 --> 00:03:41,000 Speaker 4: you know, AI feel so big and people are expecting 61 00:03:41,040 --> 00:03:43,800 Speaker 4: to see, you know, impacts immediately. That's just not how 62 00:03:43,800 --> 00:03:44,600 Speaker 4: companies were. 63 00:03:45,040 --> 00:03:48,840 Speaker 2: Martha Gimble at the Budget Lab at Yale. It's single 64 00:03:48,840 --> 00:03:52,080 Speaker 2: best idea. It's on a podcast AI. We use AI 65 00:03:52,240 --> 00:03:55,000 Speaker 2: every day here. That's on an Apple, on Spotify, on 66 00:03:55,040 --> 00:04:00,800 Speaker 2: YouTube podcasts. It's single best idea 67 00:04:00,960 --> 00:04:03,960 Speaker 1: A man about in the