1 00:00:02,400 --> 00:00:13,440 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News, single best Idea and 2 00:00:13,480 --> 00:00:16,520 Speaker 1: we say good morning to you on a Monday after 3 00:00:16,600 --> 00:00:19,439 Speaker 1: an exhausting week, and I really want to shout out 4 00:00:19,440 --> 00:00:23,560 Speaker 1: here on Apple Podcasts, subscribe to The Big Take David 5 00:00:23,560 --> 00:00:28,480 Speaker 1: Gura providing leadership there on the politics of the moment. 6 00:00:29,480 --> 00:00:32,800 Speaker 1: David was on CNN with Caitlin Friday night and one 7 00:00:32,800 --> 00:00:36,600 Speaker 1: of the members of that really good conversation stop the 8 00:00:36,680 --> 00:00:41,200 Speaker 1: show and mention the value of the Big Take, producing 9 00:00:41,680 --> 00:00:45,840 Speaker 1: twenty minutes of conversation on themes. I know David's working 10 00:00:45,880 --> 00:00:50,800 Speaker 1: on an important view forward for America and Israel that 11 00:00:50,840 --> 00:00:53,800 Speaker 1: you'll probably see in the next twenty four hours, but 12 00:00:53,880 --> 00:00:56,880 Speaker 1: I can't say enough about The Big Take. The guest 13 00:00:56,960 --> 00:00:59,840 Speaker 1: quality is awesome. And when you have a group of 14 00:00:59,840 --> 00:01:03,120 Speaker 1: two the team members here at Bloomberg Surveillance working on 15 00:01:03,280 --> 00:01:06,399 Speaker 1: no sleep, usually it does better. Yes, a lot of 16 00:01:06,440 --> 00:01:09,280 Speaker 1: politics today, but it was a joy to visit with 17 00:01:09,480 --> 00:01:13,800 Speaker 1: Edward Yard Denny for an extended conversation. Ed Yard Denny 18 00:01:13,920 --> 00:01:17,160 Speaker 1: is iconic back to CJ. Lawrence and all of his 19 00:01:17,240 --> 00:01:20,839 Speaker 1: economics there who's out of Yale University and then iconic 20 00:01:20,880 --> 00:01:24,360 Speaker 1: at CJ. Lawrence decades ago, and he has been, as 21 00:01:24,400 --> 00:01:28,360 Speaker 1: you'll hear later, a permeable. He has been optimistic on 22 00:01:28,400 --> 00:01:32,600 Speaker 1: the American economic experiment, and was absolutely brilliant during one 23 00:01:32,600 --> 00:01:37,240 Speaker 1: about of gloom in October of two thousand, I believe 24 00:01:37,319 --> 00:01:40,160 Speaker 1: twenty two he just really called that well. I really 25 00:01:40,240 --> 00:01:43,760 Speaker 1: can't say enough about his short brief newsletter, the way 26 00:01:43,800 --> 00:01:50,120 Speaker 1: he writes in common sense. He extrapolates out optimism in 27 00:01:50,160 --> 00:01:53,800 Speaker 1: the roaring twenties. Dare I say Dow fifty thousand or 28 00:01:53,880 --> 00:01:55,440 Speaker 1: Dow sixty thousand. 29 00:01:55,720 --> 00:01:57,840 Speaker 2: I think we could get to sixty thousand by the 30 00:01:57,920 --> 00:02:00,840 Speaker 2: end of the year that we'red forty. It's not a 31 00:02:00,880 --> 00:02:05,120 Speaker 2: stretch to believe that over the remaining decade we could 32 00:02:05,120 --> 00:02:08,120 Speaker 2: get to sixty thousand. And I've got the S and 33 00:02:08,160 --> 00:02:11,720 Speaker 2: P five hundred going to eight thousand by the end 34 00:02:11,760 --> 00:02:16,800 Speaker 2: of the decades. So it's a bull market. Look just 35 00:02:16,840 --> 00:02:18,760 Speaker 2: take a look at a long term chart of the 36 00:02:18,840 --> 00:02:20,720 Speaker 2: S and P five hundred, and what you see is 37 00:02:20,760 --> 00:02:24,640 Speaker 2: that bear markets occur every now and then, but they 38 00:02:24,639 --> 00:02:28,520 Speaker 2: don't last very long, and that the fundamental trend of 39 00:02:28,520 --> 00:02:31,240 Speaker 2: the market is upwards along with the economy. 40 00:02:31,440 --> 00:02:33,200 Speaker 1: Ed jar Denny there, and of course part of that 41 00:02:33,480 --> 00:02:36,760 Speaker 1: is a concentration in these seven stocks and frankly other 42 00:02:36,840 --> 00:02:41,720 Speaker 1: stocks tangential to them. It's a question of AI. I 43 00:02:41,720 --> 00:02:46,120 Speaker 1: guess there's Apple intelligence, there's artificial intelligence, and your Denny 44 00:02:46,200 --> 00:02:48,760 Speaker 1: on how he partitions AI. 45 00:02:49,200 --> 00:02:54,359 Speaker 2: Well, artificial intelligence is certainly artificial, but I'm not convinced 46 00:02:54,600 --> 00:02:58,239 Speaker 2: all that intelligent. But I want to be very precise 47 00:02:58,280 --> 00:03:01,400 Speaker 2: about that. I think there's two versions of AI that 48 00:03:01,440 --> 00:03:04,880 Speaker 2: we need to consider. One is so called open AI, 49 00:03:05,040 --> 00:03:07,040 Speaker 2: and the other one is something that I would. 50 00:03:06,919 --> 00:03:07,880 Speaker 1: Call closed AI. 51 00:03:08,880 --> 00:03:13,840 Speaker 2: Open AI basically is open to all the information available 52 00:03:13,880 --> 00:03:16,239 Speaker 2: on the Internet, and as we know, there's a lot 53 00:03:16,240 --> 00:03:19,200 Speaker 2: of junk on the Internet, and open AI is going 54 00:03:19,240 --> 00:03:21,440 Speaker 2: to contribute to it. It's going to kind of start 55 00:03:21,480 --> 00:03:25,120 Speaker 2: making up some stories and some sources, and you know, 56 00:03:25,200 --> 00:03:27,520 Speaker 2: I mean, we can fact check the fact check it 57 00:03:27,520 --> 00:03:29,239 Speaker 2: along the way, but it's still going to be making 58 00:03:29,240 --> 00:03:30,080 Speaker 2: a lot of mistakes. 59 00:03:30,280 --> 00:03:35,560 Speaker 1: Bloomberg Technology, Caroline, they'll fact check you. Forward into Google earnings. 60 00:03:35,760 --> 00:03:37,640 Speaker 1: I really want to emphasize I was wrong. I thought 61 00:03:37,640 --> 00:03:40,560 Speaker 1: it was Friday. Paul Sweny tells me it's Tuesday, so 62 00:03:40,600 --> 00:03:42,360 Speaker 1: that we're going to really begin to see the mag 63 00:03:42,440 --> 00:03:46,240 Speaker 1: seven report. The first one was Google finally bonus round 64 00:03:47,000 --> 00:03:51,840 Speaker 1: and Yard Denny, who has been optimistic on the American experiment, 65 00:03:52,400 --> 00:03:56,640 Speaker 1: and I asked him about the value of studying those 66 00:03:56,760 --> 00:04:01,040 Speaker 1: fearful as a trout out notes of caution and gloom. 67 00:04:01,680 --> 00:04:04,440 Speaker 2: And I guess I've been accused of being a perma bull, 68 00:04:04,560 --> 00:04:07,760 Speaker 2: but I think that's a consequence of reading what the 69 00:04:07,760 --> 00:04:10,960 Speaker 2: perma bears are saying and just trying to provide some balance. 70 00:04:11,400 --> 00:04:14,280 Speaker 2: So if you provide some balance, you come out as 71 00:04:14,360 --> 00:04:16,680 Speaker 2: a perma bull. And again, if you look at the 72 00:04:16,680 --> 00:04:19,560 Speaker 2: long history of the stock market, makes more sense to 73 00:04:19,600 --> 00:04:24,400 Speaker 2: be bullish on a more often than bearish. But the 74 00:04:24,480 --> 00:04:28,159 Speaker 2: crew I think provides some very good, intelligent analysis of 75 00:04:28,240 --> 00:04:32,160 Speaker 2: what could possibly go wrong. And then I step in 76 00:04:32,200 --> 00:04:34,559 Speaker 2: and say, okay, well where might they be wrong? 77 00:04:34,800 --> 00:04:37,960 Speaker 1: And your Denny there of your Denny research, and I 78 00:04:38,080 --> 00:04:42,760 Speaker 1: can't say enough about his research notes very reasonably priced. 79 00:04:42,760 --> 00:04:45,360 Speaker 1: Look for them out on oh the internet and in 80 00:04:45,480 --> 00:04:49,240 Speaker 1: his website. Your Denny Research run Apple card Player and 81 00:04:49,240 --> 00:04:53,360 Speaker 1: Android Auto as well, and on YouTube. I want to 82 00:04:53,400 --> 00:04:55,640 Speaker 1: take a moment here. Somebody stopped me in the street 83 00:04:55,640 --> 00:04:57,799 Speaker 1: this weekend and said, how's it going, And I said, 84 00:04:58,320 --> 00:05:02,840 Speaker 1: we're like basically humble at this new digital experiment and 85 00:05:02,920 --> 00:05:05,480 Speaker 1: good morning to oh and Bloomberg eleven three to Oho 86 00:05:05,880 --> 00:05:10,200 Speaker 1: as well worldwide on traditional radio, but on YouTube, it's 87 00:05:10,279 --> 00:05:13,960 Speaker 1: just real simple. It's all about subscribing, and it's an 88 00:05:14,000 --> 00:05:16,320 Speaker 1: easy thing to do. You go out, you search Chrome 89 00:05:16,440 --> 00:05:18,960 Speaker 1: or whatever your browsers. Is anyone on bing Bob, I 90 00:05:18,960 --> 00:05:21,760 Speaker 1: don't think so. No one's on bing. But the answer 91 00:05:21,839 --> 00:05:26,000 Speaker 1: is you go out and you search YouTube Bloomberg podcasts 92 00:05:26,040 --> 00:05:29,760 Speaker 1: there it is. Subscribe to Bloomberg Podcasts for all of 93 00:05:29,800 --> 00:05:33,240 Speaker 1: the value of our conversation including David Kerr as the 94 00:05:33,279 --> 00:05:36,920 Speaker 1: big Take and there we are, and then you can 95 00:05:37,120 --> 00:05:39,320 Speaker 1: be with us live in the morning or on the 96 00:05:39,360 --> 00:05:43,360 Speaker 1: tape follow up and all sorts of other good conversations 97 00:05:43,400 --> 00:05:48,120 Speaker 1: in the value add our future Bloomberg podcasts on YouTube. 98 00:05:48,680 --> 00:05:59,719 Speaker 1: We're on Apple podcasts as well. This is single best idea.