1 00:00:00,240 --> 00:00:02,440 Speaker 1: This is Bloomberg Wall Street Week. 2 00:00:02,480 --> 00:00:04,400 Speaker 2: And we may not have an overall recession, We're having 3 00:00:04,400 --> 00:00:06,760 Speaker 2: a rolling recession to conge roll looks pretty strongly it 4 00:00:06,800 --> 00:00:07,680 Speaker 2: is when it comes to jobs. 5 00:00:07,720 --> 00:00:09,840 Speaker 1: The financial stories that shape our world. 6 00:00:09,960 --> 00:00:13,640 Speaker 2: Three major regional bank failures send shockwaves through the banking system. 7 00:00:13,680 --> 00:00:15,440 Speaker 2: We're all trying to figure out what to make of 8 00:00:15,600 --> 00:00:17,000 Speaker 2: generative AI. 9 00:00:16,920 --> 00:00:19,320 Speaker 1: Through the eyes of the most influential voices. 10 00:00:19,440 --> 00:00:22,400 Speaker 2: Welcome down, Doctor Paul Krugman, Ryan moynihan, Bank of America, 11 00:00:22,560 --> 00:00:25,279 Speaker 2: deebro Lair of the Paulson Institute, well then Hubbard of 12 00:00:25,280 --> 00:00:26,280 Speaker 2: the Columbia Business School. 13 00:00:26,280 --> 00:00:30,480 Speaker 1: Bloomberg Wall Street Week with David Weston from Bloomberg Radio. 14 00:00:30,680 --> 00:00:34,760 Speaker 2: Taking different paths. China slows down as the United States 15 00:00:34,840 --> 00:00:38,239 Speaker 2: heads toward a soft landing after all, and Morgan Stanley 16 00:00:38,240 --> 00:00:42,600 Speaker 2: fires on all cylinders while Goldman reboots. This is Bloomberg 17 00:00:42,640 --> 00:00:46,640 Speaker 2: Wall Street Week. I'm David Weston. This week contributors Larry 18 00:00:46,680 --> 00:00:49,360 Speaker 2: Summers of Harvard and Steve Rattner of will It Advisors 19 00:00:49,520 --> 00:00:52,559 Speaker 2: on what generative AI could mean for the economy and 20 00:00:52,760 --> 00:00:53,720 Speaker 2: for investors. 21 00:00:54,640 --> 00:00:58,280 Speaker 3: I have a suspicion that AI is coming for the 22 00:00:58,400 --> 00:00:59,760 Speaker 3: cognitive clash. 23 00:01:00,440 --> 00:01:03,280 Speaker 4: History is probably still on the side that we will 24 00:01:03,280 --> 00:01:05,319 Speaker 4: find our way through this in a positive way. 25 00:01:06,160 --> 00:01:08,840 Speaker 2: Oh And Thomas of Boston Properties on just how bad 26 00:01:08,959 --> 00:01:10,839 Speaker 2: it could get in commercial real estate. 27 00:01:11,720 --> 00:01:15,440 Speaker 5: The sentiment is worse than the reality that we're experiencing. 28 00:01:16,000 --> 00:01:19,240 Speaker 2: And Dennis Arfa of Artist Group International about what Taylor 29 00:01:19,280 --> 00:01:23,000 Speaker 2: Swift's billion dollar tour means for the business of music. 30 00:01:23,840 --> 00:01:26,080 Speaker 6: She's raised the bar, she said, a new bar. 31 00:01:39,440 --> 00:01:39,800 Speaker 1: Global. 32 00:01:39,800 --> 00:01:43,160 Speaker 2: Wall Street spent the week looking two different directions as 33 00:01:43,280 --> 00:01:46,880 Speaker 2: China economic numbers once again pointed to a disappointing year. 34 00:01:47,840 --> 00:01:50,280 Speaker 7: The private sector is a big part of the Chinese economy. 35 00:01:50,440 --> 00:01:53,960 Speaker 7: They're just not spending or investing like they used to, and. 36 00:01:53,920 --> 00:01:56,920 Speaker 2: Kris Delina Giorgieva of the IMF warned about what that 37 00:01:57,120 --> 00:02:00,200 Speaker 2: could mean for the rest of the world. 38 00:02:00,040 --> 00:02:05,840 Speaker 1: In a slowing down, of course, affects Setia, affects the worlds. 39 00:02:06,200 --> 00:02:08,040 Speaker 2: But at the same time that the numbers seem to 40 00:02:08,040 --> 00:02:10,960 Speaker 2: be getting worse in China, they continue to point towards 41 00:02:10,960 --> 00:02:14,200 Speaker 2: strength in the United States, leading Treasury Secretary of Yellen 42 00:02:14,240 --> 00:02:17,080 Speaker 2: to say a US recession may be off the table. 43 00:02:17,880 --> 00:02:19,760 Speaker 6: I don't expect a recession. 44 00:02:20,240 --> 00:02:24,200 Speaker 5: I think that we're on a good pass to bringing 45 00:02:24,280 --> 00:02:26,280 Speaker 5: inslation downs that. 46 00:02:26,440 --> 00:02:29,360 Speaker 2: Stronger than we saw at US economy helped most of 47 00:02:29,400 --> 00:02:32,560 Speaker 2: the big banks do better than we expected on their earnings, 48 00:02:32,760 --> 00:02:35,960 Speaker 2: led by Morgan Stanley, with CEO James Gorman chalking the 49 00:02:36,000 --> 00:02:39,120 Speaker 2: success up to three basic things. 50 00:02:39,280 --> 00:02:43,919 Speaker 8: The combination of really high conservative capital levels, pl vious. 51 00:02:43,840 --> 00:02:47,760 Speaker 2: Organic growth within a couple of cool businesses, and very 52 00:02:47,880 --> 00:02:51,200 Speaker 2: high diven end yeok. But things weren't quite as rosy 53 00:02:51,280 --> 00:02:53,920 Speaker 2: over at Gold and Sachs, with reduced profits in part 54 00:02:53,960 --> 00:02:56,880 Speaker 2: because of challenges in the commercial real estate business. 55 00:02:57,320 --> 00:02:59,560 Speaker 7: They have about twenty eight billion dollars in loans in 56 00:02:59,560 --> 00:03:02,760 Speaker 7: the commercial real estate space, so that's about fifteen percent 57 00:03:02,760 --> 00:03:04,600 Speaker 7: of their total lown portfolio. 58 00:03:04,560 --> 00:03:07,880 Speaker 2: And CEO David Solomon admitted that the bank is going 59 00:03:07,919 --> 00:03:12,280 Speaker 2: through something of a rebuilding period. We're making tough decisions 60 00:03:12,280 --> 00:03:15,679 Speaker 2: that are driving the strategic evolution of firm. Given both 61 00:03:15,680 --> 00:03:18,160 Speaker 2: these factors, that should come as no surprise that we're 62 00:03:18,200 --> 00:03:22,519 Speaker 2: going to a period of lower results through it all, 63 00:03:22,600 --> 00:03:25,640 Speaker 2: The S and P five hundred continued, it's surprising march upward, 64 00:03:25,800 --> 00:03:28,160 Speaker 2: adding another seven tens of an percent to end the 65 00:03:28,160 --> 00:03:30,920 Speaker 2: week at forty five thirty six, way above where the 66 00:03:30,919 --> 00:03:34,240 Speaker 2: Bloomberg elves had been, although in fairness, the Elves have 67 00:03:34,320 --> 00:03:37,360 Speaker 2: been taking their median estimate up now indicating a forty 68 00:03:37,400 --> 00:03:39,920 Speaker 2: three hundred SMP by the end of the year. The 69 00:03:40,040 --> 00:03:42,839 Speaker 2: NANTSAC didn't do quite well, giving up just under six 70 00:03:42,920 --> 00:03:45,400 Speaker 2: tens percent, while the yield and the tenure was just 71 00:03:45,480 --> 00:03:48,040 Speaker 2: about flat, hanging out at three point eight three, though 72 00:03:48,040 --> 00:03:50,600 Speaker 2: it did dip as low as three point seven three 73 00:03:50,640 --> 00:03:52,920 Speaker 2: on Wednesday and then flirted with three point eighty seven 74 00:03:53,240 --> 00:03:55,080 Speaker 2: late on Thursday. To take us through the week in 75 00:03:55,160 --> 00:03:57,400 Speaker 2: the markets and what investors should make of then we 76 00:03:57,400 --> 00:04:00,560 Speaker 2: welcome back Sarah Malak, she's Nouvene chief Invents one officer, 77 00:04:00,720 --> 00:04:03,800 Speaker 2: and Christina Hooper and Vesco chief Global Market Strategy. So 78 00:04:03,840 --> 00:04:06,040 Speaker 2: welcome to both of you. Thanks for being back with this. 79 00:04:06,200 --> 00:04:08,280 Speaker 2: Let me start with you. As for Christina, what did 80 00:04:08,320 --> 00:04:09,400 Speaker 2: you make of the week of the markets? 81 00:04:09,840 --> 00:04:13,320 Speaker 9: So I was happy to see a continued broadening in markets. 82 00:04:13,440 --> 00:04:16,320 Speaker 9: So we didn't see tech do well, but that's okay 83 00:04:16,600 --> 00:04:20,440 Speaker 9: because there was more participation from a variety of sectors. 84 00:04:20,800 --> 00:04:24,000 Speaker 9: So I think in general this is a fairly healthy environment, 85 00:04:24,080 --> 00:04:27,680 Speaker 9: but we should expect that it's not surprising if we 86 00:04:27,800 --> 00:04:30,640 Speaker 9: get some kind of pullback we've had a strong rally 87 00:04:30,680 --> 00:04:33,719 Speaker 9: this year, there should be or there should likely be, 88 00:04:33,839 --> 00:04:36,840 Speaker 9: a digestion period over the coming months, So a. 89 00:04:36,800 --> 00:04:38,760 Speaker 2: Broadening in the market. Do you see that as well, Sarah, 90 00:04:38,839 --> 00:04:42,080 Speaker 2: We actually at Bloomberg have a chart indicating the relationship 91 00:04:42,080 --> 00:04:44,080 Speaker 2: between small caps and the S and P five hundred, 92 00:04:44,120 --> 00:04:46,560 Speaker 2: suggesting is a bigger divergence that there been in twenty years. 93 00:04:46,600 --> 00:04:48,680 Speaker 2: Are you seeing a broadening of the markets or not. 94 00:04:49,880 --> 00:04:52,240 Speaker 10: Well, there's three reasons why the bulls beat the bears 95 00:04:52,279 --> 00:04:55,680 Speaker 10: again this week. One is broader participation in the indexes, 96 00:04:55,760 --> 00:04:58,760 Speaker 10: Second is inflation, which is continuing to moderate, and third, 97 00:04:58,800 --> 00:05:01,719 Speaker 10: of course is earning seas and so participation rate for 98 00:05:01,800 --> 00:05:04,800 Speaker 10: everything outside of those top ten technology socks has been 99 00:05:04,920 --> 00:05:07,320 Speaker 10: very strong since June. First, that's a healthy sign for 100 00:05:07,360 --> 00:05:10,880 Speaker 10: the markets. Moderating inflation with CPI and PPI coming in 101 00:05:11,240 --> 00:05:14,320 Speaker 10: under expectations is another positive. But we are still concerned 102 00:05:14,360 --> 00:05:17,440 Speaker 10: about wage inflation and core inflation, which remains above the 103 00:05:17,480 --> 00:05:18,160 Speaker 10: FEDCE target. 104 00:05:18,400 --> 00:05:20,400 Speaker 2: So sure, we're still early on in the earning scenes 105 00:05:20,480 --> 00:05:22,880 Speaker 2: so far, so we'll have to find out what actually happens. 106 00:05:22,960 --> 00:05:24,240 Speaker 2: But where are you in the S and P five 107 00:05:24,279 --> 00:05:25,279 Speaker 2: hundred by the end of the year. 108 00:05:26,320 --> 00:05:29,080 Speaker 10: We still think there's upside as long as employment markets 109 00:05:29,080 --> 00:05:31,960 Speaker 10: remain strong and the consumers keep spending, and you tend 110 00:05:31,960 --> 00:05:34,400 Speaker 10: to see that when people are comfortable with their jobs, 111 00:05:34,560 --> 00:05:36,920 Speaker 10: they will keep spending money. I think the market still 112 00:05:36,960 --> 00:05:39,320 Speaker 10: has upside if that's the case now. I do acknowledge 113 00:05:39,520 --> 00:05:42,760 Speaker 10: sixteen months of monetary tightening, including what we think is 114 00:05:42,800 --> 00:05:45,159 Speaker 10: one more rate hike next week until and then we're 115 00:05:45,160 --> 00:05:47,719 Speaker 10: done with rate hikes for a while. But all of 116 00:05:47,760 --> 00:05:49,680 Speaker 10: that putting together, as long as we don't see a 117 00:05:49,760 --> 00:05:51,960 Speaker 10: recession this year, which we doubt that we will, I 118 00:05:51,960 --> 00:05:55,120 Speaker 10: think the markets keeps climbing higher. Technology. I wouldn't count 119 00:05:55,160 --> 00:05:56,880 Speaker 10: that out either. It has a lot of tailwinds like 120 00:05:56,920 --> 00:06:00,760 Speaker 10: lower inflation, heels that are moderating, and artificial intelligence. I 121 00:06:00,760 --> 00:06:03,440 Speaker 10: think tech sucks also will continue to move higher once 122 00:06:03,480 --> 00:06:03,840 Speaker 10: they can. 123 00:06:03,760 --> 00:06:05,440 Speaker 2: Solve what eight David. 124 00:06:05,520 --> 00:06:08,760 Speaker 9: I don't disagree with Sarah. I think after that digestion 125 00:06:08,880 --> 00:06:10,840 Speaker 9: period that I talked about and the potential for a 126 00:06:11,080 --> 00:06:14,800 Speaker 9: modest pullback, what we're likely to see is some improvement 127 00:06:15,080 --> 00:06:17,400 Speaker 9: in the S and P five hundred by year end. 128 00:06:17,880 --> 00:06:20,799 Speaker 9: And I would argue that that is being fueled by 129 00:06:20,839 --> 00:06:22,920 Speaker 9: what I will call a bumpy landing. I don't think 130 00:06:22,920 --> 00:06:24,640 Speaker 9: it's a soft landing, but I don't think we go 131 00:06:24,720 --> 00:06:28,919 Speaker 9: into any kind of significant, broad based recession. We're also 132 00:06:29,080 --> 00:06:31,880 Speaker 9: going to see history help us. What we know is 133 00:06:31,920 --> 00:06:34,760 Speaker 9: that when the FED stops hiking rates, typically in the 134 00:06:34,800 --> 00:06:38,400 Speaker 9: one year period the two years after the end of 135 00:06:38,480 --> 00:06:42,120 Speaker 9: rate hikes, that is when we tend to see good performance, 136 00:06:42,760 --> 00:06:45,600 Speaker 9: strong returns, usually from the S and P five hundred. 137 00:06:45,800 --> 00:06:47,760 Speaker 9: I don't think this is going to be different this year, 138 00:06:47,960 --> 00:06:51,800 Speaker 9: especially since this time around, this kind of downturn is 139 00:06:51,839 --> 00:06:55,279 Speaker 9: a job full downturn, and so we see the consumer 140 00:06:55,360 --> 00:06:59,839 Speaker 9: continuing to spend, as Sarah mentioned, because they have jobs 141 00:07:00,160 --> 00:07:04,839 Speaker 9: and they can spend, and with inflation coming down that 142 00:07:05,000 --> 00:07:08,200 Speaker 9: also helps helps with discretionary spend. 143 00:07:09,360 --> 00:07:11,320 Speaker 2: If it is summer, it is time to catch some 144 00:07:11,400 --> 00:07:14,160 Speaker 2: live music, and this summer, the biggest live music that 145 00:07:14,200 --> 00:07:17,120 Speaker 2: there is out there comes from Taylor Swift, whose Eras 146 00:07:17,160 --> 00:07:20,480 Speaker 2: tour is expected to bring in a billion dollars. Welcome now, 147 00:07:20,520 --> 00:07:23,720 Speaker 2: Dennis Arfa. He's head of Global Music at IAG. He 148 00:07:23,720 --> 00:07:27,120 Speaker 2: has represented artists such as Billy Joel, Metallica, Rod Stewart, 149 00:07:27,120 --> 00:07:29,680 Speaker 2: and many others. Thanks so much, Dennis for being with 150 00:07:29,760 --> 00:07:34,640 Speaker 2: us appreciated. So we have a sense as fans, as 151 00:07:34,680 --> 00:07:37,600 Speaker 2: people who follow Tyror Swift that she's really big. But 152 00:07:37,720 --> 00:07:39,600 Speaker 2: for the music business, how big is she? 153 00:07:40,560 --> 00:07:45,720 Speaker 6: Well, what she has accomplished with her tour is unprecedented. 154 00:07:46,400 --> 00:07:51,000 Speaker 6: Never before have we ever seen an artist put multiple 155 00:07:51,040 --> 00:07:55,240 Speaker 6: stadium shows on sale in the same city and blow 156 00:07:55,280 --> 00:07:59,160 Speaker 6: them all out on the on sale, and that's never happened. 157 00:07:59,760 --> 00:08:02,720 Speaker 6: And so she's raised the bar, she said, a new bar, 158 00:08:03,520 --> 00:08:08,280 Speaker 6: because now that somebody can play whatever I believe it's 159 00:08:08,320 --> 00:08:10,480 Speaker 6: fifty one stadium shows and sell it out on the 160 00:08:10,560 --> 00:08:15,080 Speaker 6: on sale is incredible. It's what I'd call a beatlesque. 161 00:08:15,560 --> 00:08:16,720 Speaker 2: It's what we would. 162 00:08:16,480 --> 00:08:20,640 Speaker 6: Have expected the Beatles to do had they been touring 163 00:08:20,760 --> 00:08:24,920 Speaker 6: in prime time as today they would kind of we 164 00:08:24,920 --> 00:08:26,880 Speaker 6: would expect to have that same kind of result. 165 00:08:27,280 --> 00:08:29,040 Speaker 2: So we talked to investors. Here give us a sense 166 00:08:29,080 --> 00:08:31,880 Speaker 2: of the economics of this. You refer to the Beatles. 167 00:08:32,600 --> 00:08:35,280 Speaker 2: My understanding for reading about it is the economics were 168 00:08:35,280 --> 00:08:37,320 Speaker 2: different back then, that a lot of the economics were 169 00:08:37,360 --> 00:08:40,240 Speaker 2: driven by the records, the old LPs that we bought. 170 00:08:40,600 --> 00:08:43,480 Speaker 2: Not so much anymore when we talk about perhaps a 171 00:08:43,520 --> 00:08:45,800 Speaker 2: billion dollars in this tour, where does that money come from? 172 00:08:45,800 --> 00:08:46,680 Speaker 2: How does it break down? 173 00:08:47,640 --> 00:08:51,719 Speaker 6: Well, it breaks down from ticket sales and then the 174 00:08:52,200 --> 00:08:57,200 Speaker 6: additional moneies that come from ticket sales, platinum tickets, VIP tickets, 175 00:08:57,559 --> 00:09:04,360 Speaker 6: merchandising as a big gradient sponsorship, you know, so those 176 00:09:04,400 --> 00:09:09,120 Speaker 6: are kind of the things that bring up the dollar amounts. 177 00:09:09,360 --> 00:09:11,040 Speaker 6: But it's ticket sales is the base. 178 00:09:11,400 --> 00:09:13,320 Speaker 2: We're just recorded music fit in anymore. 179 00:09:15,040 --> 00:09:19,040 Speaker 6: Well, you know, today you can have a record that's 180 00:09:19,120 --> 00:09:23,439 Speaker 6: number one and be one hundred thousand or fifty thousand units. 181 00:09:24,400 --> 00:09:28,800 Speaker 6: Twenty five years ago, you know, many artists were selling 182 00:09:28,800 --> 00:09:33,880 Speaker 6: a million, million albums, million records, you know, on release 183 00:09:34,200 --> 00:09:37,000 Speaker 6: or you know, it was it was more common. So 184 00:09:37,760 --> 00:09:40,600 Speaker 6: the album sales are diluted and the record sales are 185 00:09:40,600 --> 00:09:44,320 Speaker 6: diluted in comparison to what it used to be. I mean, 186 00:09:44,720 --> 00:09:47,400 Speaker 6: there's artists, whether it's the Eagles or Billy Joel and 187 00:09:47,840 --> 00:09:51,439 Speaker 6: twenty four million, twenty seven million, Michael Jackson the Thriller, 188 00:09:51,760 --> 00:09:54,920 Speaker 6: those numbers really don't exist, and if they do, they're 189 00:09:54,960 --> 00:09:59,560 Speaker 6: really aberrations. The Adele success to Taylor Swift's success, those 190 00:09:59,600 --> 00:10:03,520 Speaker 6: are our that really wasn't the case twenty five years ago. 191 00:10:03,960 --> 00:10:06,480 Speaker 6: I have a lot of gold records and platinum records 192 00:10:06,480 --> 00:10:08,720 Speaker 6: on my wall, and some of those artists you don't 193 00:10:08,720 --> 00:10:12,199 Speaker 6: even know who they are. And today you know, if 194 00:10:12,200 --> 00:10:14,880 Speaker 6: you did twenty five thousand in the week, you could 195 00:10:14,960 --> 00:10:16,160 Speaker 6: end up being in the top ten. 196 00:10:16,559 --> 00:10:18,280 Speaker 2: Okay, Dennis, thank you so much for being on Wall 197 00:10:18,320 --> 00:10:22,439 Speaker 2: Street Week. That is Dennis Arfa. He's the founder of AGI. 198 00:10:23,760 --> 00:10:27,120 Speaker 2: Coming up everywhere return we hear about problems with commercial 199 00:10:27,240 --> 00:10:29,880 Speaker 2: real estate. We'll talk with the head of the largest 200 00:10:29,920 --> 00:10:32,680 Speaker 2: public and traded developer of high end office space in 201 00:10:32,720 --> 00:10:35,000 Speaker 2: the country, Owen Thomas of BXP. 202 00:10:35,440 --> 00:10:38,520 Speaker 5: Remote work is like a benefit, it's like compensation. You 203 00:10:38,600 --> 00:10:39,680 Speaker 5: have to meet the market. 204 00:10:41,720 --> 00:10:51,599 Speaker 2: That's next on Wall Street Week on Bloomberg. This is 205 00:10:51,640 --> 00:10:54,560 Speaker 2: Wall Street Week. I'm David Weston. This week brought another 206 00:10:54,720 --> 00:10:57,680 Speaker 2: round of bad news and commercial real estate from Goldwyn 207 00:10:57,760 --> 00:10:59,960 Speaker 2: Sacks sing a four hundred and eighty five million dollars 208 00:11:00,080 --> 00:11:02,440 Speaker 2: it from the property market to news. Have yet another 209 00:11:02,480 --> 00:11:05,560 Speaker 2: big mortgage default, this one for two hundred and twelve 210 00:11:05,640 --> 00:11:08,440 Speaker 2: million dollars on an Atlanta office tower owned by Star 211 00:11:08,520 --> 00:11:11,280 Speaker 2: would Capital. To put it all in a broader perspective, 212 00:11:11,440 --> 00:11:14,120 Speaker 2: the good and maybe even the not so good. Welcome 213 00:11:14,120 --> 00:11:16,520 Speaker 2: back now, Owen Thomas. He's chairman and CEO of XP 214 00:11:16,800 --> 00:11:19,760 Speaker 2: that is the largest publicly traded developer of high end 215 00:11:19,840 --> 00:11:21,840 Speaker 2: office space in the country. Own always great to have 216 00:11:21,920 --> 00:11:24,000 Speaker 2: you with us, as I say, and you know, there's 217 00:11:24,000 --> 00:11:26,440 Speaker 2: so much bad news in commercial real estate. Put in 218 00:11:26,480 --> 00:11:29,079 Speaker 2: a larger perspective exactly where we are at this way? 219 00:11:29,160 --> 00:11:31,280 Speaker 2: What are you seeing in your business particular in terms 220 00:11:31,280 --> 00:11:34,120 Speaker 2: of occupancy rates? Are people really coming to the office yet? 221 00:11:34,280 --> 00:11:37,760 Speaker 5: Yeah, Well, David's nice to be with you. I would 222 00:11:37,800 --> 00:11:40,719 Speaker 5: say in summary that the sentiment is worse than the 223 00:11:40,760 --> 00:11:43,600 Speaker 5: reality that we're experiencing. So let's talk a little bit 224 00:11:43,640 --> 00:11:47,840 Speaker 5: about usage of buildings. There's a steady stream of corporate 225 00:11:47,880 --> 00:11:51,400 Speaker 5: announcements going on right now. If companies returning to the 226 00:11:51,440 --> 00:11:55,439 Speaker 5: office like Amazon did on May first, companies that were 227 00:11:55,440 --> 00:11:58,079 Speaker 5: in the office three days a week moving to four days, 228 00:11:58,120 --> 00:12:02,240 Speaker 5: even some companies saying we're going to evaluate all new 229 00:12:02,320 --> 00:12:05,560 Speaker 5: employees based on your office attendance that you're in. So 230 00:12:05,640 --> 00:12:08,600 Speaker 5: you're seeing more and more of this. I think CEOs 231 00:12:08,640 --> 00:12:13,400 Speaker 5: all want more in person work. They recognize that remote 232 00:12:13,400 --> 00:12:16,240 Speaker 5: work is like a benefit, it's like compensation you have 233 00:12:16,280 --> 00:12:18,280 Speaker 5: to meet the market, but it comes with a real 234 00:12:18,400 --> 00:12:20,840 Speaker 5: cost of productivity and culture. 235 00:12:21,000 --> 00:12:23,520 Speaker 2: Are you seeing your buildings though, and actually people showing 236 00:12:23,600 --> 00:12:25,640 Speaker 2: up because we have things like castle card reporting, it's 237 00:12:25,640 --> 00:12:28,280 Speaker 2: still like fifty percent in Manhattan. Are you seeing it 238 00:12:28,320 --> 00:12:28,760 Speaker 2: move up? 239 00:12:29,160 --> 00:12:32,840 Speaker 5: So the building we don't use castle systems and a 240 00:12:32,880 --> 00:12:35,439 Speaker 5: lot of the landlords that we compete with don't, So 241 00:12:35,720 --> 00:12:39,120 Speaker 5: I know the industry uses their data, So I'll tell 242 00:12:39,120 --> 00:12:44,079 Speaker 5: you what we're experiencing. So in New York and Boston, Tuesday, Wednesday, 243 00:12:44,120 --> 00:12:47,960 Speaker 5: Thursday is more or less at pre pandemic attendance. I 244 00:12:48,000 --> 00:12:50,960 Speaker 5: think Monday's about sixty percent of that peak and Friday's 245 00:12:50,960 --> 00:12:53,960 Speaker 5: probably less than thirty percent of that peak. The West 246 00:12:53,960 --> 00:12:57,480 Speaker 5: coast markets where we operate, Seattle, San Francisco, and LA 247 00:12:57,520 --> 00:13:00,360 Speaker 5: they're probably fifty percent of all those known or so 248 00:13:00,440 --> 00:13:01,160 Speaker 5: well behind. 249 00:13:01,440 --> 00:13:04,560 Speaker 2: What about repurposing some of these others buildings because we've 250 00:13:04,600 --> 00:13:08,200 Speaker 2: heard a lot about that and whether we're residential or 251 00:13:08,280 --> 00:13:10,440 Speaker 2: I think you've been big in life sciences? Actually haven't 252 00:13:10,480 --> 00:13:11,080 Speaker 2: you at VXB? 253 00:13:11,360 --> 00:13:11,560 Speaker 1: Yes? 254 00:13:11,640 --> 00:13:14,040 Speaker 2: How's that going? Is there too much of a move 255 00:13:14,080 --> 00:13:15,920 Speaker 2: into life sciences? Are you seeing a glut? 256 00:13:16,080 --> 00:13:19,720 Speaker 5: Yeah? Well, let me talk about the repurposing. We definitely 257 00:13:19,720 --> 00:13:23,920 Speaker 5: have repurposed several office buildings successfully into life science, and 258 00:13:23,920 --> 00:13:26,600 Speaker 5: we've done it very carefully in some of the premiere 259 00:13:26,800 --> 00:13:29,880 Speaker 5: life science markets in the country. But on the residential 260 00:13:29,920 --> 00:13:32,840 Speaker 5: conversions which you asked about, this is something that theoretically 261 00:13:32,840 --> 00:13:35,840 Speaker 5: makes a tremendous amount of sense. We need more housing 262 00:13:35,840 --> 00:13:39,320 Speaker 5: in our cities. We need less obsolescent office buildings, we 263 00:13:39,360 --> 00:13:42,559 Speaker 5: need more real estate tax revenues, we need more activity 264 00:13:42,559 --> 00:13:45,280 Speaker 5: on the street. And when you repurpose an asset, the 265 00:13:45,360 --> 00:13:48,560 Speaker 5: carbon footprint of doing that is much lower than demolishing 266 00:13:48,600 --> 00:13:53,560 Speaker 5: and reconstructing. However, there are obstacles to doing all these things. 267 00:13:53,600 --> 00:13:59,720 Speaker 5: Regulatory zoning requirements, residential zoning versus commercial zoning, physical requirements. 268 00:14:00,000 --> 00:14:03,680 Speaker 5: Building has to be empty, the depth of the buildings. 269 00:14:03,760 --> 00:14:06,560 Speaker 5: Residential needs more light and air than office, and many 270 00:14:07,000 --> 00:14:11,040 Speaker 5: office buildings have deep floor plates. And then financial you know, 271 00:14:11,120 --> 00:14:13,960 Speaker 5: to do a successful conversion, the office building has to 272 00:14:13,960 --> 00:14:16,959 Speaker 5: be contributed at something pretty close to land value. So 273 00:14:17,080 --> 00:14:19,120 Speaker 5: there it makes a tremendous amount of sense. There are 274 00:14:19,120 --> 00:14:21,280 Speaker 5: a lot of obstacles, but I would think about it 275 00:14:21,280 --> 00:14:24,720 Speaker 5: this way, David. There are four hundred million square feet 276 00:14:24,880 --> 00:14:27,840 Speaker 5: of office space in New York. If one to two 277 00:14:27,920 --> 00:14:31,880 Speaker 5: percent was converted, that's four to eight million square feet 278 00:14:32,240 --> 00:14:35,160 Speaker 5: of new housing, and it's also probably you know, five 279 00:14:35,200 --> 00:14:38,200 Speaker 5: to ten percent of the vacant office building, so not 280 00:14:38,320 --> 00:14:40,560 Speaker 5: a lot, as a percent has to happen for it 281 00:14:40,600 --> 00:14:41,560 Speaker 5: to be meaningful. 282 00:14:41,880 --> 00:14:45,320 Speaker 2: You raised the geography question because you particularly are obviously 283 00:14:45,360 --> 00:14:48,360 Speaker 2: in Boston, but also New York, San Francisco. Some of 284 00:14:48,360 --> 00:14:50,520 Speaker 2: the cities have been hit a little harder when it 285 00:14:50,520 --> 00:14:54,240 Speaker 2: comes to residential I'm sorry, office space. Are you thinking 286 00:14:54,240 --> 00:14:56,360 Speaker 2: about going to other places? We hear a lot about Austin, 287 00:14:56,400 --> 00:14:59,000 Speaker 2: we hear about Miami, we hear about Florida. Are you 288 00:14:59,000 --> 00:15:01,640 Speaker 2: thinking about expanding into the geographic areas well. 289 00:15:01,680 --> 00:15:05,800 Speaker 5: We're very happy with our footprint. We believe in having 290 00:15:05,840 --> 00:15:08,960 Speaker 5: real estate where they are barriers to new supply and 291 00:15:09,040 --> 00:15:12,760 Speaker 5: also knowledge clusters of workers, and we think our cities 292 00:15:12,800 --> 00:15:16,040 Speaker 5: have those. There's clearly been some migration to the Sun Belt, 293 00:15:16,080 --> 00:15:18,280 Speaker 5: and there's been strong growth in the Sun Belt markets, 294 00:15:18,320 --> 00:15:20,640 Speaker 5: but there's also been a lot of development. If you 295 00:15:20,680 --> 00:15:23,040 Speaker 5: look at the vacancy rates in many of the Sun 296 00:15:23,080 --> 00:15:26,600 Speaker 5: Belt cities, they've gone up very significantly over the last 297 00:15:26,680 --> 00:15:28,760 Speaker 5: year to eighteen months, and in many cases are above 298 00:15:28,800 --> 00:15:31,720 Speaker 5: the vacancy rates in the cities where we operate when. 299 00:15:31,560 --> 00:15:34,320 Speaker 2: You're in a particular position, which is a publicly traded company, 300 00:15:34,760 --> 00:15:37,120 Speaker 2: the largest publicly traded company when it comes to high 301 00:15:37,200 --> 00:15:40,119 Speaker 2: end office buildings, which means you have a lot of resources, 302 00:15:40,240 --> 00:15:41,880 Speaker 2: access to a lot of resources, and you have to 303 00:15:42,160 --> 00:15:44,040 Speaker 2: there's a marked to market every single day in a 304 00:15:44,200 --> 00:15:47,120 Speaker 2: sense that's affected your stock like every else's. As you 305 00:15:47,200 --> 00:15:49,720 Speaker 2: look at it right now, do you see opportunities? I mean, 306 00:15:49,960 --> 00:15:52,160 Speaker 2: are there bargains out there, because in fact there are 307 00:15:52,240 --> 00:15:56,040 Speaker 2: problems getting financing, the prices are coming down. I think 308 00:15:56,080 --> 00:15:56,520 Speaker 2: there are. 309 00:15:57,000 --> 00:15:59,720 Speaker 5: We So for example, we launched at the end of 310 00:15:59,800 --> 00:16:03,160 Speaker 5: last year a billion and a half dollars of life 311 00:16:03,200 --> 00:16:06,360 Speaker 5: science development in East Cambridge. We're building a six hundred 312 00:16:06,480 --> 00:16:10,200 Speaker 5: plus thousand square foot lab building for AstraZeneca at attractive 313 00:16:10,280 --> 00:16:14,600 Speaker 5: yields to our shareholders. We're also converting another significant office 314 00:16:14,600 --> 00:16:18,600 Speaker 5: building in East Cambridge to life science for the Broad Institute, 315 00:16:18,640 --> 00:16:21,760 Speaker 5: also at attractive yields. So those are the types of 316 00:16:21,800 --> 00:16:23,800 Speaker 5: things that we've been investing in. But I think as 317 00:16:24,880 --> 00:16:28,760 Speaker 5: this market evolves and there's more pricing, discovery and a reset, 318 00:16:28,840 --> 00:16:32,040 Speaker 5: I do think it will create great opportunities for a 319 00:16:32,040 --> 00:16:33,880 Speaker 5: well capitalized player like BXP. 320 00:16:34,080 --> 00:16:35,640 Speaker 2: Thank you so much, Always a treat to have you 321 00:16:35,680 --> 00:16:39,600 Speaker 2: with us. That's Owen Thomas of b XP. To everything 322 00:16:39,640 --> 00:16:42,720 Speaker 2: there is a season, but sometimes that season can last 323 00:16:42,840 --> 00:16:46,800 Speaker 2: pretty long. It's the summer of everything old being new again. 324 00:16:47,280 --> 00:16:49,400 Speaker 2: We're a year away from the true start to the 325 00:16:49,440 --> 00:16:51,600 Speaker 2: next presidential race, and a lot of the focus is 326 00:16:51,600 --> 00:16:54,480 Speaker 2: already on the age of the two front runners, as 327 00:16:54,560 --> 00:16:57,800 Speaker 2: former President Trump, a spry seventy seven year old, looks 328 00:16:57,840 --> 00:17:00,720 Speaker 2: to reclaim the White House from the more senior President Biden, 329 00:17:00,800 --> 00:17:04,160 Speaker 2: clocking in at a mature eighty. But then again, Senate 330 00:17:04,160 --> 00:17:07,800 Speaker 2: Minority Leader Mitch McConnell beats them both at eighty one, 331 00:17:07,840 --> 00:17:10,520 Speaker 2: and some of those after mister Biden's job aren't too 332 00:17:10,560 --> 00:17:13,600 Speaker 2: shy about showing off how useful and vigorous they are. 333 00:17:13,920 --> 00:17:17,320 Speaker 2: From Robert Kennedy Junior doing bear chested pushups for the 334 00:17:17,320 --> 00:17:20,919 Speaker 2: camera at age sixty nine, it's a good boy to 335 00:17:20,960 --> 00:17:23,240 Speaker 2: the baby in the group. Forty five year old Miami 336 00:17:23,280 --> 00:17:27,080 Speaker 2: mayor Francis Suarez demonstrating he can run all over town 337 00:17:27,440 --> 00:17:30,359 Speaker 2: in a tight T shirt and shorts. I'm going to 338 00:17:30,440 --> 00:17:33,199 Speaker 2: run for present. It's not just Washington where the mature 339 00:17:33,280 --> 00:17:36,639 Speaker 2: are showing their staying power. Bob Iger retired as CEO 340 00:17:36,680 --> 00:17:40,080 Speaker 2: of Disney at age seventy after fifteen years running the company, 341 00:17:40,400 --> 00:17:43,560 Speaker 2: only to come back for return performance with a contract 342 00:17:43,560 --> 00:17:45,840 Speaker 2: that now will keep him in charge until he's at 343 00:17:45,920 --> 00:17:49,320 Speaker 2: least seventy five. This isn't really a huge surprise, right 344 00:17:49,400 --> 00:17:52,040 Speaker 2: that his contract has been renewed at this point. It's 345 00:17:52,080 --> 00:17:55,160 Speaker 2: incredibly enticing, I think, and very tempting to keep him 346 00:17:55,160 --> 00:17:57,760 Speaker 2: on board. But Bob is just the right age to 347 00:17:57,800 --> 00:17:59,960 Speaker 2: deal with. Some of the leading men driving the box 348 00:18:00,080 --> 00:18:03,119 Speaker 2: office this summer. From Tom Cruise at sixty starring in 349 00:18:03,200 --> 00:18:07,560 Speaker 2: yet another mission Impossible, I don't accept that. To Arnold 350 00:18:07,560 --> 00:18:11,040 Speaker 2: Schwarzenegger at seventy five saving the world in Foo Bar 351 00:18:11,680 --> 00:18:15,240 Speaker 2: I'm retired. To Harrison Ford returning as Indiana Jones at 352 00:18:15,240 --> 00:18:18,440 Speaker 2: age eighty. I've been looking for this all my life. 353 00:18:18,960 --> 00:18:22,440 Speaker 2: But wait, there's more. The star of what may well 354 00:18:22,520 --> 00:18:25,359 Speaker 2: be the hit movie of the summer tops them all 355 00:18:25,400 --> 00:18:29,119 Speaker 2: at the age of eighty three. Yes, eighty three years old, 356 00:18:29,200 --> 00:18:32,080 Speaker 2: and she is a leading lady. I'm talking, of course, 357 00:18:32,119 --> 00:18:34,840 Speaker 2: about the one and only Barbie. You might say, no, 358 00:18:35,160 --> 00:18:38,639 Speaker 2: Barbie is only nineteen. Well, that is the age she 359 00:18:38,800 --> 00:18:40,520 Speaker 2: was when she first appeared. 360 00:18:40,400 --> 00:18:43,520 Speaker 10: My Barbie Dull is really. 361 00:18:44,520 --> 00:18:47,040 Speaker 2: But that was back in nineteen fifty nine. Since then, 362 00:18:47,080 --> 00:18:50,960 Speaker 2: she's come back again and again, including for the Millennium, 363 00:18:51,000 --> 00:18:53,320 Speaker 2: when she made a guest appearance on Wall Street Week 364 00:18:53,400 --> 00:18:56,359 Speaker 2: with Lewis Rockeiser for Christmas back in two thousand. 365 00:18:56,760 --> 00:19:01,600 Speaker 8: Barbie is stating another of her periodic comebacks, Betell's Millennium 366 00:19:01,600 --> 00:19:05,440 Speaker 8: Princess version as a hot seller this season at forty dollars. 367 00:19:05,160 --> 00:19:07,959 Speaker 2: And now Barbie is back bigger than ever in her 368 00:19:08,000 --> 00:19:11,720 Speaker 2: own blockbuster movie as a thoroughly mature eighty three year old, 369 00:19:12,040 --> 00:19:14,840 Speaker 2: something that even Barbie herself may not want to think 370 00:19:14,880 --> 00:19:17,359 Speaker 2: too hard about. The best day ever. It is the 371 00:19:17,400 --> 00:19:18,080 Speaker 2: best day ever. 372 00:19:18,280 --> 00:19:21,600 Speaker 9: So is yesterday, and so is tomorrow. In every daypnurship. 373 00:19:21,080 --> 00:19:23,840 Speaker 5: Forever, you don't ever think about nine. 374 00:19:24,119 --> 00:19:29,680 Speaker 2: Here's to eternal use coming up. We're told the generative 375 00:19:29,720 --> 00:19:32,000 Speaker 2: AI will change all of our lives in ways we 376 00:19:32,200 --> 00:19:35,320 Speaker 2: just can't imagine. We put together a special Wall Street 377 00:19:35,359 --> 00:19:38,239 Speaker 2: Week roundtable of Larry Summers and Steve Radner to give 378 00:19:38,320 --> 00:19:40,439 Speaker 2: us an early read and the possible effects of this 379 00:19:40,560 --> 00:19:44,399 Speaker 2: revolution on macroeconomics and on investors. 380 00:19:44,960 --> 00:19:49,160 Speaker 3: Here's a substantial chance the AI is going to be 381 00:19:49,640 --> 00:19:53,199 Speaker 3: much more of a threat to IQ than it is 382 00:19:53,320 --> 00:19:53,840 Speaker 3: to EQ. 383 00:19:54,440 --> 00:19:56,760 Speaker 4: It is the cognitive classes, as you call them, who 384 00:19:56,800 --> 00:19:57,680 Speaker 4: are most at risk. 385 00:19:57,960 --> 00:19:59,960 Speaker 2: This is Wall Street Week on Bloomberg. 386 00:20:01,840 --> 00:20:06,080 Speaker 1: This is Bloomberg Wall Street Week with David Weston from 387 00:20:06,200 --> 00:20:08,800 Speaker 1: Bloomberg Radio. 388 00:20:14,359 --> 00:20:18,199 Speaker 2: Artificial intelligence. We may not yet know exactly what it is, 389 00:20:18,320 --> 00:20:21,800 Speaker 2: even though the technology isn't all that new, but everyone 390 00:20:21,840 --> 00:20:24,040 Speaker 2: agrees it's going to be huge. 391 00:20:24,359 --> 00:20:27,800 Speaker 6: We don't know yet all of the different applications that 392 00:20:27,840 --> 00:20:28,600 Speaker 6: are going to come up. 393 00:20:28,640 --> 00:20:29,720 Speaker 2: Well, you're seeing that just. 394 00:20:29,680 --> 00:20:33,520 Speaker 6: Swipping the past six months is a revolution. 395 00:20:33,480 --> 00:20:36,760 Speaker 2: With Julie's Sweet of accenture saying just about all executives 396 00:20:36,760 --> 00:20:38,840 Speaker 2: believe it will change their world. 397 00:20:39,320 --> 00:20:42,080 Speaker 9: In fact, ninety seven percent of executives and a recent 398 00:20:42,119 --> 00:20:44,960 Speaker 9: survey that we did have said they believe that Jenna 399 00:20:45,080 --> 00:20:48,600 Speaker 9: I will transform their industry and their company, leading. 400 00:20:48,320 --> 00:20:52,080 Speaker 2: Those funding startups to shift their investments. With Pitchbook reporting 401 00:20:52,200 --> 00:20:55,800 Speaker 2: VC's last quarter spend less on crypto and digital assets 402 00:20:55,960 --> 00:20:59,640 Speaker 2: than at any time since twenty twenty, while investing more 403 00:20:59,680 --> 00:21:03,640 Speaker 2: in A than crypto even at its peak. Hopes are 404 00:21:03,720 --> 00:21:06,200 Speaker 2: high the AI will make our lives better. 405 00:21:06,520 --> 00:21:10,359 Speaker 10: We'll also see AI coming more and more to the forefront, 406 00:21:10,760 --> 00:21:15,320 Speaker 10: both to help folks say productive and from a security perspective. 407 00:21:15,520 --> 00:21:19,200 Speaker 2: But as with all powerful tools, there are also risks involved. 408 00:21:19,400 --> 00:21:21,800 Speaker 2: With the head of Google's Deep Mind calling for more 409 00:21:21,840 --> 00:21:24,119 Speaker 2: work on guardrails. 410 00:21:23,480 --> 00:21:25,320 Speaker 10: The number one thing that needs to be done right 411 00:21:25,320 --> 00:21:28,520 Speaker 10: now is to put more investment into AI safety research 412 00:21:28,560 --> 00:21:31,880 Speaker 10: and understanding what these systems can do and what God 413 00:21:31,920 --> 00:21:33,280 Speaker 10: wills that we therefore should have. 414 00:21:33,720 --> 00:21:36,560 Speaker 2: And Elon Musk urging the government to step up to 415 00:21:36,600 --> 00:21:41,040 Speaker 2: the challenge. I'm in favor of AI regulation because. 416 00:21:40,920 --> 00:21:44,120 Speaker 5: I think advanced AI is a risk to the public. 417 00:21:44,760 --> 00:21:48,680 Speaker 2: But chat GPT pioneer Sam Altman warns about the difficulties. 418 00:21:49,040 --> 00:21:50,240 Speaker 2: Global regulation is hard. 419 00:21:50,480 --> 00:21:52,280 Speaker 8: You know, you don't want to overdo it for sure, 420 00:21:52,720 --> 00:21:55,280 Speaker 8: but I think global regulation can help make. 421 00:21:55,200 --> 00:21:58,320 Speaker 2: It safe, leaving us all with some difficult questions about 422 00:21:58,359 --> 00:22:01,240 Speaker 2: how to get the best of what artificial intelligence promises 423 00:22:01,600 --> 00:22:08,240 Speaker 2: and yet manage the risks. To help us begin to 424 00:22:08,320 --> 00:22:10,800 Speaker 2: explore some of the questions we have about AI, welcome 425 00:22:10,840 --> 00:22:14,000 Speaker 2: now our special contributor Larry Summers of Harvard and Steve Ratner, 426 00:22:14,119 --> 00:22:16,480 Speaker 2: Chairman and CEO of will It Advisors, which manages the 427 00:22:16,560 --> 00:22:19,960 Speaker 2: personal and philanthropic assets of our founder and majority shareholder 428 00:22:20,200 --> 00:22:22,920 Speaker 2: Michael Bloomberg. So welcome to back to both of you. Steve, 429 00:22:23,000 --> 00:22:24,360 Speaker 2: let me start with you, because you wrote a piece 430 00:22:24,359 --> 00:22:25,760 Speaker 2: in The New York Times that a lot of us 431 00:22:25,800 --> 00:22:28,760 Speaker 2: thought was quite thoughtful about this, making the point of 432 00:22:28,840 --> 00:22:30,439 Speaker 2: part this is not a new thing. You like the 433 00:22:30,480 --> 00:22:33,400 Speaker 2: seventeenth century their questions about looms give us your sense 434 00:22:33,440 --> 00:22:36,320 Speaker 2: about AI the opportunity to offer us and some of 435 00:22:36,359 --> 00:22:37,600 Speaker 2: the resistance to it. 436 00:22:38,840 --> 00:22:40,680 Speaker 4: As I wrote in the piece, I think that that 437 00:22:40,800 --> 00:22:44,720 Speaker 4: economic growth and prosperity and better living standards for everybody 438 00:22:44,720 --> 00:22:46,440 Speaker 4: in the world, no matter who they are, where they are, 439 00:22:46,680 --> 00:22:50,080 Speaker 4: depends on increasing productivity efficiency at work, and in my 440 00:22:50,200 --> 00:22:53,840 Speaker 4: mind AI it may be a quantum leap. We don't 441 00:22:53,840 --> 00:22:56,160 Speaker 4: know that yet, but as part of a continuum going 442 00:22:56,200 --> 00:22:59,919 Speaker 4: back to even the thirteenth century. I wrote about all 443 00:23:00,200 --> 00:23:04,359 Speaker 4: that piece briefly of improvements and in productivity and getting 444 00:23:04,359 --> 00:23:06,399 Speaker 4: those into the hands of the workers so that people 445 00:23:06,400 --> 00:23:09,040 Speaker 4: can have a higher standard of living. And as part 446 00:23:09,040 --> 00:23:12,360 Speaker 4: of that you have what Trumpeter famously called creative destruction. 447 00:23:12,720 --> 00:23:14,840 Speaker 4: You have some jobs that are lost and other jobs 448 00:23:14,880 --> 00:23:17,320 Speaker 4: that are gained. We had four hundred and fifty thousand 449 00:23:17,359 --> 00:23:20,080 Speaker 4: telephone operators in this country in the nineteen fifties. You 450 00:23:20,160 --> 00:23:22,720 Speaker 4: tell me the last time you talked to a telephone operator, 451 00:23:22,960 --> 00:23:25,040 Speaker 4: we had close to two million people. I assume most 452 00:23:25,080 --> 00:23:27,639 Speaker 4: of them women classified as typists. That's not even a 453 00:23:27,720 --> 00:23:31,240 Speaker 4: job category anymore in the BLS. This is all things 454 00:23:31,240 --> 00:23:35,480 Speaker 4: that have happened. And alternatively, we've developed millions of jobs 455 00:23:35,520 --> 00:23:38,760 Speaker 4: in technology industries and finance and other sectors that have 456 00:23:38,800 --> 00:23:40,800 Speaker 4: actually been helped by the development of technology. 457 00:23:41,359 --> 00:23:44,240 Speaker 2: So Steve, of course is an investor. Larry, you were 458 00:23:44,280 --> 00:23:47,400 Speaker 2: a macroeconomist. As a macroeconomist, is Steve on the right 459 00:23:47,440 --> 00:23:50,640 Speaker 2: trail about restoring the growth of productivity which has dropped off? 460 00:23:50,640 --> 00:23:52,800 Speaker 2: As Steve pointed out his piece, it really has dropped 461 00:23:52,800 --> 00:23:53,640 Speaker 2: off significantly. 462 00:23:54,080 --> 00:23:59,680 Speaker 3: Steve's right to be four technological progress and to recognize 463 00:24:00,240 --> 00:24:06,440 Speaker 3: overall it's through change and evolution mediated through markeats that 464 00:24:06,600 --> 00:24:09,920 Speaker 3: life has gotten so much better. And it's all right, 465 00:24:10,840 --> 00:24:16,120 Speaker 3: just one thing. In the nineteen sixties, ninety six percent 466 00:24:16,200 --> 00:24:21,640 Speaker 3: of American American men twenty five to fifty four were working, 467 00:24:22,359 --> 00:24:27,520 Speaker 3: and only four percent were not. Today it's more like 468 00:24:27,640 --> 00:24:28,680 Speaker 3: fourteen percent. 469 00:24:29,600 --> 00:24:31,000 Speaker 2: Are there things we should be doing right now that 470 00:24:31,040 --> 00:24:33,639 Speaker 2: we fail to do with automation and with globalization, to 471 00:24:33,760 --> 00:24:38,040 Speaker 2: think about those distributional effects potentially of AI to make 472 00:24:38,080 --> 00:24:41,160 Speaker 2: sure that we bring more people along with the progress. 473 00:24:41,359 --> 00:24:44,359 Speaker 4: Absolutely, I don't think actually, Larry and I really disagree. 474 00:24:44,480 --> 00:24:47,600 Speaker 4: I understand the problem he's talking about. It actually relates 475 00:24:47,640 --> 00:24:51,720 Speaker 4: to automation a lot, and also to trade. And where 476 00:24:51,800 --> 00:24:54,159 Speaker 4: I think, frankly, the economists Larry may jump down my 477 00:24:54,200 --> 00:24:56,159 Speaker 4: throat for this part. I think the economists got it 478 00:24:56,200 --> 00:24:58,439 Speaker 4: wrong on trade, which is similar in a lot of 479 00:24:58,480 --> 00:25:01,600 Speaker 4: respects to automation or other technological improvements in terms of 480 00:25:01,640 --> 00:25:05,000 Speaker 4: its impact. Is that trade had huge macroeconomic benefits for 481 00:25:05,000 --> 00:25:09,000 Speaker 4: the country. We missed the macroeconomic impacts those workers in 482 00:25:09,040 --> 00:25:11,760 Speaker 4: Flint or Detroit or in Ohio. Some of their jobs 483 00:25:11,800 --> 00:25:13,760 Speaker 4: were and I actually just read something the other day, 484 00:25:13,800 --> 00:25:16,680 Speaker 4: you know rough Justice. Maybe half their jobs were lost 485 00:25:16,680 --> 00:25:19,399 Speaker 4: to automation, the other half were lost to trade. And 486 00:25:19,480 --> 00:25:22,720 Speaker 4: we had this little trade adjustment assistance program which basically 487 00:25:22,760 --> 00:25:25,160 Speaker 4: did nothing. And we have not really done a great 488 00:25:25,200 --> 00:25:28,000 Speaker 4: job as a society both in getting the benefits of 489 00:25:28,080 --> 00:25:31,840 Speaker 4: technology into the hands of everybody. There's been this lack 490 00:25:31,880 --> 00:25:34,480 Speaker 4: of wage growth commensurate with the productivity growth over a 491 00:25:34,600 --> 00:25:38,000 Speaker 4: fairly long period of time now, as well as individuals 492 00:25:38,000 --> 00:25:39,639 Speaker 4: and finding them things to do where they can be 493 00:25:39,680 --> 00:25:40,920 Speaker 4: more productive and happier. 494 00:25:41,480 --> 00:25:44,159 Speaker 2: Lurie, what about it? Did the economists, and yes, the 495 00:25:44,160 --> 00:25:46,720 Speaker 2: policymaker in Washington, it sort of let us all down 496 00:25:46,960 --> 00:25:49,040 Speaker 2: with respect to both automation and trade. 497 00:25:49,680 --> 00:25:54,560 Speaker 3: We should have done more to cushion the various changes 498 00:25:54,640 --> 00:25:58,200 Speaker 3: associated with trade. I agree with that, I'm not sure 499 00:25:58,200 --> 00:26:02,720 Speaker 3: I agree with Steve's quantification, and I think that a 500 00:26:02,840 --> 00:26:07,040 Speaker 3: full calculus on trade has to recognize a large number 501 00:26:07,040 --> 00:26:11,280 Speaker 3: of benefits in terms of jobs created and in terms 502 00:26:11,320 --> 00:26:14,600 Speaker 3: of real wages enhanced. But that brings me to the 503 00:26:14,640 --> 00:26:19,520 Speaker 3: other point I wanted to make about AI. And I 504 00:26:19,560 --> 00:26:23,600 Speaker 3: don't know for sure about this, but if my suspicion 505 00:26:23,760 --> 00:26:29,040 Speaker 3: is right, it's very big. Most of the technological changes 506 00:26:29,080 --> 00:26:36,760 Speaker 3: we've had before came for working people doing relatively routine things. 507 00:26:37,560 --> 00:26:42,160 Speaker 3: They were automatic ways of picking cotton. It came from 508 00:26:42,640 --> 00:26:50,280 Speaker 3: agricultural workers. They were things that replaced typists or telephone operators. 509 00:26:50,520 --> 00:26:56,199 Speaker 3: As Steve mentioned, I have a suspicion that AI is 510 00:26:56,280 --> 00:26:59,960 Speaker 3: coming for the cognitive class. And part of the reason 511 00:27:00,040 --> 00:27:05,960 Speaker 3: and you're seeing such hysteria now, is that it's the 512 00:27:06,080 --> 00:27:11,760 Speaker 3: people who write articles and their friends, the people like 513 00:27:12,160 --> 00:27:17,000 Speaker 3: the three of us, who are more at risk from 514 00:27:17,240 --> 00:27:21,520 Speaker 3: AI competition than has been the case with most of 515 00:27:21,560 --> 00:27:27,879 Speaker 3: the technological innovations in the past. I would say that 516 00:27:28,480 --> 00:27:32,720 Speaker 3: there's a substantial chance the AI is going to be 517 00:27:33,160 --> 00:27:36,760 Speaker 3: much more of a threat to IQ than it is 518 00:27:36,840 --> 00:27:37,359 Speaker 3: to EQ. 519 00:27:38,440 --> 00:27:43,800 Speaker 11: It will be a very long time before AI will 520 00:27:43,960 --> 00:27:48,680 Speaker 11: replace many of the kinds of direct physical work. Think 521 00:27:48,680 --> 00:27:52,760 Speaker 11: of working in a garden, for example. 522 00:27:53,240 --> 00:27:59,000 Speaker 3: So I have a suspicion that the distributional consequences of 523 00:27:59,119 --> 00:28:04,119 Speaker 3: AI for the bosses versus the boss may be very 524 00:28:04,119 --> 00:28:08,200 Speaker 3: different than the distributional consequences of many of the other 525 00:28:08,720 --> 00:28:13,879 Speaker 3: technological revolutions, and that affects how bosses are going to 526 00:28:13,920 --> 00:28:17,399 Speaker 3: think about it in profound ways. They're going to be 527 00:28:17,480 --> 00:28:20,960 Speaker 3: much more scared, and on the other side, may be 528 00:28:21,000 --> 00:28:25,000 Speaker 3: more benign from the point of view of some of 529 00:28:25,040 --> 00:28:27,320 Speaker 3: those who've been traditionally left behind. 530 00:28:28,280 --> 00:28:30,199 Speaker 2: So Larry, I agree. I agree with that. 531 00:28:30,760 --> 00:28:33,359 Speaker 4: I think it is the cognitive classes, as you call them, 532 00:28:33,400 --> 00:28:35,360 Speaker 4: who are most at risk. I might make a dicis 533 00:28:35,400 --> 00:28:37,080 Speaker 4: I'm not sure. I would think about it as bosses 534 00:28:37,119 --> 00:28:39,320 Speaker 4: and boss and I'll use it but I will use 535 00:28:39,320 --> 00:28:41,920 Speaker 4: this historical analogy to give us a little bit of hope. 536 00:28:42,040 --> 00:28:45,320 Speaker 4: When I started on Wall Street as a young investment banker, 537 00:28:45,440 --> 00:28:47,640 Speaker 4: I had nothing. I had an early HB twelve C 538 00:28:47,840 --> 00:28:52,000 Speaker 4: calculator in my hand. We had no EXL we had 539 00:28:52,040 --> 00:28:54,200 Speaker 4: no computers to speak of, we had know nothing. All 540 00:28:54,200 --> 00:28:56,600 Speaker 4: of our spreadsheets were done by hand. They took a 541 00:28:56,640 --> 00:28:58,840 Speaker 4: really long time. They had to then be typed up. 542 00:28:58,880 --> 00:29:01,040 Speaker 4: We'll put the type of societ and then if I 543 00:29:01,080 --> 00:29:02,640 Speaker 4: wanted to make a change, I had to start all 544 00:29:02,640 --> 00:29:04,720 Speaker 4: over again. And now that can all be done with 545 00:29:04,800 --> 00:29:07,000 Speaker 4: the click of a mouse with an Excel program by 546 00:29:07,000 --> 00:29:10,960 Speaker 4: anybody with a small personal computer. And yet the number 547 00:29:11,000 --> 00:29:13,240 Speaker 4: of people doing what I did forty years ago when 548 00:29:13,240 --> 00:29:16,880 Speaker 4: I started on Wall Street has multiplied since then, and 549 00:29:16,960 --> 00:29:20,480 Speaker 4: so it became a productivity enhancing tool, not a job 550 00:29:20,560 --> 00:29:24,720 Speaker 4: destructing destructive tool. I'm perfectly prepared to believe that this 551 00:29:24,760 --> 00:29:27,000 Speaker 4: may come out a different way. All I'm saying is 552 00:29:27,000 --> 00:29:29,160 Speaker 4: I don't think we know yet, and I think history 553 00:29:29,720 --> 00:29:31,840 Speaker 4: is probably still on the side that we will find 554 00:29:31,840 --> 00:29:33,680 Speaker 4: our way through this in a positive way. 555 00:29:35,040 --> 00:29:37,440 Speaker 2: Many thanks to Larry Summers of Harvard and Steve Radner 556 00:29:37,520 --> 00:29:42,840 Speaker 2: of Willet Advisors coming up, has the strong dollar run 557 00:29:42,880 --> 00:29:45,720 Speaker 2: its course? We'll go through where we are and how 558 00:29:45,760 --> 00:29:48,880 Speaker 2: we got here. That next down Wall Street Week on Bloomberg. 559 00:29:51,760 --> 00:29:56,000 Speaker 1: This is Bloomberg Wall Street Week with David Weston from 560 00:29:56,120 --> 00:30:01,800 Speaker 1: Bloomberg Radio. 561 00:30:03,520 --> 00:30:06,040 Speaker 2: This is Wall Street Week. I'm David Weston. The US 562 00:30:06,040 --> 00:30:09,000 Speaker 2: dollar had been on something of a tear, recently hitting 563 00:30:09,000 --> 00:30:12,120 Speaker 2: its peak last September, driven by all those rate hikes 564 00:30:12,200 --> 00:30:15,120 Speaker 2: and expectations of more to come. But since then it's 565 00:30:15,160 --> 00:30:18,280 Speaker 2: given up over five percent, with prospects that the Fed 566 00:30:18,400 --> 00:30:20,600 Speaker 2: may be nearing the end of turning up the heat, 567 00:30:20,880 --> 00:30:23,640 Speaker 2: and JP Morgan warned this week it may get worse 568 00:30:23,680 --> 00:30:26,560 Speaker 2: from here, but it's still nothing compared to what Lewis 569 00:30:26,640 --> 00:30:29,040 Speaker 2: Rickhauser was looking at on Wall Street weeek. Back in 570 00:30:29,120 --> 00:30:31,040 Speaker 2: nineteen ninety three. 571 00:30:32,560 --> 00:30:37,000 Speaker 8: The American dollar repeatedly dived to new postwar lows against 572 00:30:37,040 --> 00:30:41,479 Speaker 8: the Japanese yen, fast approaching the once unthinkable level of 573 00:30:41,880 --> 00:30:45,840 Speaker 8: one hundred yen to the dollar, and one Japanese financier 574 00:30:45,960 --> 00:30:49,120 Speaker 8: confided to me that the next logical step would be 575 00:30:49,160 --> 00:30:53,000 Speaker 8: to revalue, knocking off the last two zeros so that 576 00:30:53,120 --> 00:30:57,560 Speaker 8: one yen would equal and perhaps even exceed one dollar. 577 00:30:58,840 --> 00:31:02,400 Speaker 8: Never mind that many amus seriously questioned the wisdom of 578 00:31:02,440 --> 00:31:05,920 Speaker 8: a succession of our own governments whooping the yen higher 579 00:31:06,000 --> 00:31:09,000 Speaker 8: and the dollar lower while beating on the Japanese to 580 00:31:09,080 --> 00:31:10,360 Speaker 8: open their markets wider. 581 00:31:12,400 --> 00:31:14,200 Speaker 2: To take us through where we are today with the 582 00:31:14,280 --> 00:31:16,680 Speaker 2: dollar and where we may be going, we welcome back 583 00:31:16,680 --> 00:31:20,600 Speaker 2: Bloomberg International Economics and Policy correspondent Michael McKee. 584 00:31:22,760 --> 00:31:26,400 Speaker 7: Unfortunately for mister Ruchiser, the dollar continued its dive in 585 00:31:26,480 --> 00:31:30,360 Speaker 7: nineteen ninety five, reaching the once unthinkable level of eighty yen. 586 00:31:31,040 --> 00:31:33,680 Speaker 7: That was back in the days when American consumers seem 587 00:31:33,760 --> 00:31:37,640 Speaker 7: to be buying everything Japan could manufacture. The slide wasn't 588 00:31:37,720 --> 00:31:41,280 Speaker 7: arrested until Robert Rubin, who became Treasury Secretary just as 589 00:31:41,280 --> 00:31:44,560 Speaker 7: the dollar reached its NATI, was able to hammer home 590 00:31:44,600 --> 00:31:47,000 Speaker 7: a new mantra that a strong dollar was in the 591 00:31:47,040 --> 00:31:50,080 Speaker 7: best interests of the United States, and since then, as 592 00:31:50,120 --> 00:31:52,960 Speaker 7: you've often heard, markets go up and markets go down. 593 00:31:53,640 --> 00:31:56,360 Speaker 7: By nineteen ninety eight, the yen had weakened so much 594 00:31:56,600 --> 00:31:58,960 Speaker 7: the US was willing to join with other G seven 595 00:31:59,040 --> 00:32:02,440 Speaker 7: nations to strengthen it. Why well, for one thing, the 596 00:32:02,440 --> 00:32:07,040 Speaker 7: euphemisms strong and weak are quite misleading. There are advantages 597 00:32:07,080 --> 00:32:11,400 Speaker 7: and disadvantages to both conditions. If the dollar appreciates, it 598 00:32:11,440 --> 00:32:14,640 Speaker 7: means foreign goods are cheaper to buy. That helps hold 599 00:32:14,640 --> 00:32:17,840 Speaker 7: down inflation, which means interest rates can stay lower than 600 00:32:17,880 --> 00:32:23,640 Speaker 7: otherwise necessary. But it also means American exports cost more overseas. 601 00:32:23,760 --> 00:32:27,480 Speaker 7: If the dollar is depreciating, those exports are cheaper and 602 00:32:27,640 --> 00:32:31,640 Speaker 7: US companies can sell more. More foreign tourists can afford 603 00:32:31,680 --> 00:32:36,680 Speaker 7: to visit, and American assets become more attractive to foreign buyers. Now, 604 00:32:36,760 --> 00:32:40,240 Speaker 7: some politicians worry about what they call a week dollar, 605 00:32:40,440 --> 00:32:44,040 Speaker 7: and it has been depreciating. The dollar rows because the 606 00:32:44,160 --> 00:32:46,920 Speaker 7: US economy has been much stronger than others, and the 607 00:32:46,960 --> 00:32:50,240 Speaker 7: FEDS raised US interest rates higher than other central banks. 608 00:32:50,720 --> 00:32:54,840 Speaker 7: With the Fed almost done, that's changing against many currencies. 609 00:32:55,360 --> 00:33:00,120 Speaker 7: Currency strategists forecasts some dollar weakening, but no crash. It's 610 00:33:00,160 --> 00:33:04,880 Speaker 7: still historically strong. A drop may disrupt some carry trades 611 00:33:04,920 --> 00:33:08,960 Speaker 7: and other strategies, but it's not necessarily a bad thing 612 00:33:09,040 --> 00:33:11,000 Speaker 7: for the US. Just sounds bad. 613 00:33:11,560 --> 00:33:16,800 Speaker 2: David, thanks to Bloomberg's Michael McKee. That does it. For 614 00:33:16,840 --> 00:33:19,080 Speaker 2: this episode of Wall Street Week, I'm David Weston. This 615 00:33:19,200 --> 00:33:34,200 Speaker 2: is Bloomberg. See you next week,