1 00:00:02,520 --> 00:00:13,400 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, the. 2 00:00:13,360 --> 00:00:16,639 Speaker 2: Single best idea really interesting post FED show picking up 3 00:00:16,680 --> 00:00:19,680 Speaker 2: the pieces off that. Thanks to Lisa Bramwitz for driving 4 00:00:19,720 --> 00:00:25,520 Speaker 2: the conversation yesterday afternoon. Some great conversations centered around selective 5 00:00:25,600 --> 00:00:29,080 Speaker 2: bombshells from Chairman Paul. We'll get to that in a moment. 6 00:00:29,200 --> 00:00:31,960 Speaker 2: Robert Kaplan in lovely to see him in the studio. 7 00:00:32,000 --> 00:00:34,800 Speaker 2: He is with Goldman Sachs as vice chairman, the former 8 00:00:34,840 --> 00:00:37,920 Speaker 2: president of the Dallas FED and all of his teaching 9 00:00:37,960 --> 00:00:43,479 Speaker 2: at HBS years ago. Robert Kaplan really interesting on monopsy 10 00:00:43,560 --> 00:00:46,240 Speaker 2: on the great American roll up, not the large cap, 11 00:00:46,920 --> 00:00:50,559 Speaker 2: not the mid cap, small cap. Here's Robert Kaplan on 12 00:00:50,640 --> 00:00:51,519 Speaker 2: the in between. 13 00:00:52,240 --> 00:00:56,760 Speaker 3: Lots of still small emerging businesses powered by AI that 14 00:00:56,800 --> 00:00:59,800 Speaker 3: can grow and will be very attractive, and they'll get 15 00:00:59,840 --> 00:01:03,040 Speaker 3: to a point where they kind of stabilize. You'll have 16 00:01:03,160 --> 00:01:07,440 Speaker 3: lots of very big, huge scale companies that are dominant, 17 00:01:07,640 --> 00:01:09,720 Speaker 3: and you're gonna have a lot in between. And I 18 00:01:09,720 --> 00:01:12,440 Speaker 3: guess we'd say it in between has gotten a lot bigger. 19 00:01:12,760 --> 00:01:15,160 Speaker 3: And the last companies that used to think they were 20 00:01:15,160 --> 00:01:18,160 Speaker 3: big and dominant and still aren't or less dominant. 21 00:01:18,480 --> 00:01:20,560 Speaker 2: I looked at Procter and Gamble carefully said, I don't 22 00:01:20,560 --> 00:01:23,080 Speaker 2: want you to come in on individual security. But what 23 00:01:23,120 --> 00:01:26,080 Speaker 2: does old industry do in their in between? 24 00:01:26,120 --> 00:01:33,720 Speaker 3: This build size and scale and make more investment in efficiency, productivity, 25 00:01:34,319 --> 00:01:38,920 Speaker 3: technology and so all that costs money and in the 26 00:01:38,959 --> 00:01:42,240 Speaker 3: short run reduces margins. And that's why you also see 27 00:01:42,240 --> 00:01:45,559 Speaker 3: a lot of bell tightening right now right now to 28 00:01:45,680 --> 00:01:48,120 Speaker 3: offset some of the margin impact. 29 00:01:48,680 --> 00:01:51,760 Speaker 2: Robert Kaplan with Goldman sex really interesting there. I can't 30 00:01:51,760 --> 00:01:56,400 Speaker 2: say enough about the bet the traditional non technology, non 31 00:01:56,480 --> 00:02:02,040 Speaker 2: AI economies and companies will look to productivity as the 32 00:02:02,080 --> 00:02:05,120 Speaker 2: path forward. Certainly that was a surprise at the FED 33 00:02:05,200 --> 00:02:08,560 Speaker 2: meeting yes today, Austin Gouldsby with that descent I thought 34 00:02:08,639 --> 00:02:11,720 Speaker 2: was fascinating a bit of the way through the press conference, 35 00:02:11,960 --> 00:02:15,799 Speaker 2: the chairman with a bombshell taking non farm payrolls and 36 00:02:15,880 --> 00:02:19,760 Speaker 2: marking them down as revisions are made. Who did I 37 00:02:19,800 --> 00:02:23,200 Speaker 2: think of Anna Wong at Bloomberg Economics. She has been 38 00:02:23,280 --> 00:02:28,200 Speaker 2: path breaking in America on adjusting unemployment to a more 39 00:02:28,320 --> 00:02:33,080 Speaker 2: negative outcome. Here is doctor Wong on the labor economy. 40 00:02:33,320 --> 00:02:37,280 Speaker 4: Powell mentioned that the three month rolling average is currently 41 00:02:37,320 --> 00:02:41,679 Speaker 4: about forty thousand, so if they're six sixty thousand over 42 00:02:41,760 --> 00:02:45,519 Speaker 4: statement that you negative twenty thousand and net's I think 43 00:02:45,520 --> 00:02:48,680 Speaker 4: that's the number. But on a month to month basis, 44 00:02:48,680 --> 00:02:52,320 Speaker 4: there of course a lot of fluctuations. For example, last 45 00:02:52,360 --> 00:02:55,960 Speaker 4: month we saw one hundred nineteen thousand, right, and next 46 00:02:55,960 --> 00:03:00,160 Speaker 4: week we are going to have a double payrollsport or 47 00:03:00,280 --> 00:03:02,440 Speaker 4: this this this is highly unusual. 48 00:03:02,520 --> 00:03:04,680 Speaker 2: Right, A lot of economic data next week that will 49 00:03:04,680 --> 00:03:08,880 Speaker 2: get us through December. On podcasts or on Apple, We're 50 00:03:08,919 --> 00:03:15,840 Speaker 2: on Spotify, on YouTube podcasts. It's single best idea