1 00:00:02,920 --> 00:00:07,280 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:07,760 --> 00:00:10,360 Speaker 2: This week we got the most recent numbers on inflation, 3 00:00:10,560 --> 00:00:13,680 Speaker 2: the ones that FED pays attention to and core PCEE 4 00:00:13,880 --> 00:00:17,280 Speaker 2: came in just about we're expected, showing inflation growing two 5 00:00:17,360 --> 00:00:21,240 Speaker 2: point four percent year over year. After the most recent numbers, 6 00:00:21,239 --> 00:00:23,920 Speaker 2: we sat down with San Francisco FED President Mary Daily 7 00:00:24,200 --> 00:00:27,080 Speaker 2: and asked her how she squares the strong growth and 8 00:00:27,200 --> 00:00:30,880 Speaker 2: jobs numbers with the relatively weak consumer centimate figures. 9 00:00:31,360 --> 00:00:35,760 Speaker 1: When you think about how hard it is to work 10 00:00:35,760 --> 00:00:38,879 Speaker 1: as hard as you can work multiple jobs and not 11 00:00:39,000 --> 00:00:41,760 Speaker 1: be able to afford things one month to the next, 12 00:00:42,280 --> 00:00:47,000 Speaker 1: that has a psychological toll that I think we can't underestimate. 13 00:00:47,280 --> 00:00:50,800 Speaker 1: And as the economy continues to make gains and we 14 00:00:50,880 --> 00:00:54,160 Speaker 1: bring inflation down, that scar, if you will, will start 15 00:00:54,200 --> 00:00:56,760 Speaker 1: to heal. But people need that certainty and that's why 16 00:00:56,760 --> 00:01:00,040 Speaker 1: we keep saying we're not done until we're done. You 17 00:01:00,080 --> 00:01:02,600 Speaker 1: know these good inflation data that we're seeing that's not 18 00:01:02,680 --> 00:01:03,680 Speaker 1: price stability too. 19 00:01:03,800 --> 00:01:07,080 Speaker 2: Is for people in financial media and on Wall Street, 20 00:01:07,319 --> 00:01:08,880 Speaker 2: the number one issue is rate cuts. 21 00:01:09,240 --> 00:01:11,440 Speaker 1: Yes, that is their number one issue. But we work 22 00:01:11,440 --> 00:01:13,959 Speaker 1: for the American people, not necessarily not for markets. 23 00:01:14,440 --> 00:01:17,360 Speaker 2: But explain it to it in your summary of economic projections, 24 00:01:17,400 --> 00:01:19,119 Speaker 2: the last one you have three in for the year. 25 00:01:19,160 --> 00:01:22,360 Speaker 2: That's a projection, it's not a promise, but and some 26 00:01:22,360 --> 00:01:24,280 Speaker 2: people think you should have more. Maybe some people think 27 00:01:24,280 --> 00:01:26,120 Speaker 2: you have less. Why are we talking about rate cuts 28 00:01:26,120 --> 00:01:27,720 Speaker 2: at all given the strength of the economy and the 29 00:01:27,800 --> 00:01:29,960 Speaker 2: economy seems to be doing just fine with the rate 30 00:01:30,000 --> 00:01:30,920 Speaker 2: cuts you've put in place. 31 00:01:31,160 --> 00:01:33,920 Speaker 1: So we put a projection out about what we think 32 00:01:34,000 --> 00:01:36,880 Speaker 1: we'll need to do if the economy evolves as we 33 00:01:37,000 --> 00:01:40,399 Speaker 1: expect it to. So what's the expectation inflation continues to 34 00:01:40,400 --> 00:01:44,399 Speaker 1: come down gradually the labor market and the economy slow 35 00:01:44,480 --> 00:01:47,160 Speaker 1: but don't tip over, and then it would be appropriate 36 00:01:47,240 --> 00:01:50,480 Speaker 1: as inflation comes down to bring the nominal rate of 37 00:01:50,520 --> 00:01:52,960 Speaker 1: interest down to make sure we're not how holding on 38 00:01:53,080 --> 00:01:55,880 Speaker 1: even tighter, because we want to avoid the following. We 39 00:01:55,920 --> 00:01:58,480 Speaker 1: want to avoid holding on all the way to two percent. 40 00:01:58,960 --> 00:02:02,520 Speaker 1: They're putting policy very tight and then cause an unnecessary 41 00:02:03,000 --> 00:02:06,640 Speaker 1: downturn that you give people lower inflation, but you cost 42 00:02:06,720 --> 00:02:09,560 Speaker 1: them their jobs. So that's a balancing act. That means 43 00:02:09,560 --> 00:02:12,200 Speaker 1: we have to be calibrating. So I want to just 44 00:02:12,240 --> 00:02:15,600 Speaker 1: be clear. Though you don't see many fed officials, including myself, 45 00:02:15,840 --> 00:02:19,079 Speaker 1: talking about rate cuts. You see us talking about restoring 46 00:02:19,120 --> 00:02:22,800 Speaker 1: price stability, bringing inflation down, being data dependent, looking at 47 00:02:22,800 --> 00:02:26,880 Speaker 1: the full balance, being patient and methodical. So I do 48 00:02:26,919 --> 00:02:29,919 Speaker 1: think that message is clear. It's not always what people 49 00:02:30,200 --> 00:02:32,440 Speaker 1: necessarily want to hear, but it is a clear message 50 00:02:32,480 --> 00:02:33,079 Speaker 1: that we've been on. 51 00:02:33,400 --> 00:02:34,840 Speaker 2: I'm not expecting to tell usc one you're going to 52 00:02:34,919 --> 00:02:37,480 Speaker 2: cut rates. But let me ask a different question. I'm 53 00:02:37,480 --> 00:02:39,200 Speaker 2: old enough to remember when Potter Stewit in the Spreme 54 00:02:39,200 --> 00:02:41,520 Speaker 2: Court said about obsentity, you'll note when you see it. 55 00:02:41,760 --> 00:02:43,799 Speaker 2: How will you know it when you see it? That's 56 00:02:43,960 --> 00:02:45,720 Speaker 2: the time we should start cutting rates. 57 00:02:45,560 --> 00:02:49,680 Speaker 1: That's a great question. So what I look at is 58 00:02:49,720 --> 00:02:52,240 Speaker 1: what I think of as a dashboard of indicators, And 59 00:02:52,280 --> 00:02:56,359 Speaker 1: the dashboard of indicators has the published data, which everybody 60 00:02:56,400 --> 00:03:00,080 Speaker 1: focuses on. But those tend to be data points, and 61 00:03:00,080 --> 00:03:01,760 Speaker 1: you don't want to be data point dependent. You want 62 00:03:01,800 --> 00:03:04,280 Speaker 1: to be data dependent. So you have to look underneath 63 00:03:04,280 --> 00:03:07,119 Speaker 1: the hood of those data and really see what's driving them, 64 00:03:07,400 --> 00:03:09,440 Speaker 1: and also you have to talk to people. And what 65 00:03:09,480 --> 00:03:12,399 Speaker 1: I'm looking for right now is for the published data 66 00:03:12,440 --> 00:03:16,120 Speaker 1: continue to gradually slow and inflation to gradually come down, 67 00:03:16,400 --> 00:03:19,760 Speaker 1: but for the behavior when I talk to firms, when 68 00:03:19,800 --> 00:03:22,760 Speaker 1: I talk to businesses, etc. That they're saying, oh, yes, 69 00:03:22,880 --> 00:03:25,880 Speaker 1: we're not going to continue to raise prices. Oh yes, 70 00:03:25,919 --> 00:03:29,920 Speaker 1: we see input costs coming down. Workers saying, we see jobs, 71 00:03:30,000 --> 00:03:32,320 Speaker 1: we want to stick with our employer. We are not 72 00:03:32,520 --> 00:03:35,320 Speaker 1: worried about five percent wage growth because we don't feel 73 00:03:35,320 --> 00:03:38,720 Speaker 1: inflations going to continue. I'm looking for those things to 74 00:03:38,760 --> 00:03:42,320 Speaker 1: all come together and form a collage of evidence, if 75 00:03:42,360 --> 00:03:44,360 Speaker 1: you will, that we are on the path to price 76 00:03:44,400 --> 00:03:47,120 Speaker 1: stability sustainably. I'm seeing parts of that. I see a 77 00:03:47,160 --> 00:03:49,960 Speaker 1: lot of green shoots, as we like to say, but 78 00:03:50,120 --> 00:03:51,040 Speaker 1: we're not there yet. 79 00:03:51,280 --> 00:03:53,600 Speaker 2: You talked about your dashboard. Let me ask about one 80 00:03:53,720 --> 00:03:56,920 Speaker 2: specific figure on your dashboard, and that is inflation numbers. 81 00:03:57,040 --> 00:03:59,840 Speaker 2: There's some concern now that maybe inflation's overstated. I've talked 82 00:03:59,840 --> 00:04:01,600 Speaker 2: to a couple of people who are pretty active in 83 00:04:01,600 --> 00:04:04,200 Speaker 2: real estate commercial real estate in recent days who said 84 00:04:04,440 --> 00:04:08,200 Speaker 2: the owner equivalent ret is overstating inflation as pactive matter. 85 00:04:08,440 --> 00:04:11,000 Speaker 2: Somebody said, actually, recently on this program, as much as 86 00:04:11,000 --> 00:04:13,280 Speaker 2: one point seven to one point eight percent, are you 87 00:04:13,360 --> 00:04:16,240 Speaker 2: concerned that maybe we're overstating inflation right now? 88 00:04:16,320 --> 00:04:19,360 Speaker 1: So that's a really terrific question, and it might help 89 00:04:19,480 --> 00:04:21,160 Speaker 1: for me to just talk about how I look at 90 00:04:21,160 --> 00:04:24,599 Speaker 1: the data. So there are multiple inflation indicators, and you 91 00:04:24,600 --> 00:04:27,560 Speaker 1: can unpack all of them into what's driving them. But 92 00:04:27,640 --> 00:04:30,400 Speaker 1: we can't just look at those published inflation data to 93 00:04:30,440 --> 00:04:33,800 Speaker 1: see the story. We have to actually go into communities 94 00:04:33,920 --> 00:04:36,880 Speaker 1: and look at what's happening with local house price appreciation, 95 00:04:37,000 --> 00:04:40,080 Speaker 1: what's happening with rental price appreciation, and there you do 96 00:04:40,240 --> 00:04:43,279 Speaker 1: see the elements of the slowing you would expect to see. 97 00:04:43,360 --> 00:04:48,200 Speaker 1: So I actually am growing more confident that housing inflation, 98 00:04:48,400 --> 00:04:53,080 Speaker 1: shelter inflation, rental inflation are coming down. The speed at 99 00:04:53,080 --> 00:04:55,280 Speaker 1: which they come down is still unknown, but I'm not 100 00:04:55,320 --> 00:04:58,040 Speaker 1: seeing signs that they're picking back up yet. 101 00:04:58,240 --> 00:05:00,520 Speaker 2: One of the hot questions about the economy right now 102 00:05:00,600 --> 00:05:04,080 Speaker 2: is why productivity numbers have appeared to rise and whether 103 00:05:04,120 --> 00:05:06,479 Speaker 2: it has anything to do with generative AI. 104 00:05:07,360 --> 00:05:09,360 Speaker 1: Now, the thing I learned I went to the FED 105 00:05:09,400 --> 00:05:11,520 Speaker 1: to work for the first time in nineteen ninety six, 106 00:05:11,760 --> 00:05:14,280 Speaker 1: so I'm on the ground in the Bay Area looking 107 00:05:14,320 --> 00:05:17,160 Speaker 1: at this productivity boom, and what I learned from that 108 00:05:17,200 --> 00:05:20,719 Speaker 1: period of time is that it's not about the innovation itself. 109 00:05:20,760 --> 00:05:23,600 Speaker 1: It's about how people use it, and if we use 110 00:05:23,680 --> 00:05:26,240 Speaker 1: this effectively and well, and we make sure we have 111 00:05:26,320 --> 00:05:30,440 Speaker 1: the right rules and regulations and work together on it, 112 00:05:30,480 --> 00:05:33,520 Speaker 1: then it has a chance to create a productivity boom. 113 00:05:33,839 --> 00:05:36,599 Speaker 1: If we don't, then it will just be the next 114 00:05:36,800 --> 00:05:40,400 Speaker 1: newest thing that ends in some productivity gains, but not 115 00:05:40,600 --> 00:05:44,279 Speaker 1: lasting productivity growth. And I think that's really the choice 116 00:05:44,279 --> 00:05:47,040 Speaker 1: point we're at. So yes, I see it, but I'm 117 00:05:47,200 --> 00:05:50,240 Speaker 1: unwilling to say this is the next productivity boom. But 118 00:05:50,320 --> 00:05:53,040 Speaker 1: I think the little seeds of it are certainly out. 119 00:05:52,880 --> 00:05:55,320 Speaker 2: There understanding it's way too soon to tell for sure, 120 00:05:55,920 --> 00:05:58,640 Speaker 2: Still to think about the possibilities, what possible effects could 121 00:05:58,640 --> 00:06:01,240 Speaker 2: this have on economic possim particularly monetary policy, because if 122 00:06:01,240 --> 00:06:05,520 Speaker 2: you really do have abundant productivity growth that affects your 123 00:06:05,560 --> 00:06:06,880 Speaker 2: inflation calculation, does it matter. 124 00:06:06,920 --> 00:06:09,080 Speaker 1: Absolutely. So one of the things we saw last year, 125 00:06:09,160 --> 00:06:11,159 Speaker 1: and I think it's useful to just look at last year, 126 00:06:11,400 --> 00:06:15,240 Speaker 1: we had two things that were surprising. We had greater 127 00:06:15,360 --> 00:06:19,600 Speaker 1: labor supply based on just the domestic workforce increasing their 128 00:06:19,680 --> 00:06:23,520 Speaker 1: labor force participation. And we had more immigration than many 129 00:06:23,520 --> 00:06:26,120 Speaker 1: had penciled in. So that's a positive in terms of 130 00:06:26,160 --> 00:06:29,080 Speaker 1: the number of workers interested in working. The second thing 131 00:06:29,120 --> 00:06:31,359 Speaker 1: we had, though, was this boom in productivity growth that 132 00:06:31,440 --> 00:06:34,040 Speaker 1: you noted. You put those two things together and we 133 00:06:34,040 --> 00:06:36,839 Speaker 1: were able to grow faster without being inflationary. And I 134 00:06:36,880 --> 00:06:39,880 Speaker 1: think that is the number one question on my mind 135 00:06:39,880 --> 00:06:43,520 Speaker 1: for policy. Are we working with a fixed pie that's 136 00:06:43,560 --> 00:06:46,360 Speaker 1: growing slowly, you know, the economies expanding slowly, or are 137 00:06:46,360 --> 00:06:49,280 Speaker 1: we getting something on the productivity side that allows us 138 00:06:49,320 --> 00:06:53,680 Speaker 1: to grow more quickly without inflation rising up. And that's 139 00:06:53,720 --> 00:06:56,120 Speaker 1: the question for policy. If we get the productivity boom, 140 00:06:56,360 --> 00:06:59,120 Speaker 1: then like in the nineteen nineties, we don't have to 141 00:06:59,320 --> 00:07:02,240 Speaker 1: try to slow growth in order to bring inflation down. 142 00:07:02,440 --> 00:07:05,560 Speaker 2: Tech and most recently generative AI has been driving the 143 00:07:05,560 --> 00:07:08,680 Speaker 2: economy and the markets, and Silicon Valley is something of 144 00:07:08,680 --> 00:07:11,640 Speaker 2: a poster child for what tech has become. But we 145 00:07:11,680 --> 00:07:14,920 Speaker 2: may overlook other places where tech is making a big difference, 146 00:07:15,240 --> 00:07:16,520 Speaker 2: places like Oregon. 147 00:07:17,040 --> 00:07:19,680 Speaker 1: It is not just Silicon Valley. You can go to Oregon. 148 00:07:20,000 --> 00:07:22,520 Speaker 1: That's the home of chip manufacturing and has been for 149 00:07:22,560 --> 00:07:25,800 Speaker 1: two decades or more. We have silicon slopes in Salt 150 00:07:25,880 --> 00:07:29,560 Speaker 1: Lake City, a burgeoning community even in periods when people 151 00:07:29,600 --> 00:07:32,440 Speaker 1: think of it as northern California. But La has a 152 00:07:32,760 --> 00:07:36,000 Speaker 1: considerable amount of tech and Boise, Idaho is building itself 153 00:07:36,080 --> 00:07:39,120 Speaker 1: up as a tech center. Now. They all do different 154 00:07:39,200 --> 00:07:43,080 Speaker 1: kinds of things. But to suggest that Silicon Valleys the 155 00:07:43,120 --> 00:07:46,120 Speaker 1: only thing out there is really a misnomer. 156 00:07:46,400 --> 00:07:48,720 Speaker 2: What is the reason why you have such a concentration 157 00:07:48,760 --> 00:07:50,360 Speaker 2: of tech in your district? I mean, we tend to 158 00:07:50,360 --> 00:07:52,440 Speaker 2: think about Silicon Valley as being close to Stanford and 159 00:07:52,720 --> 00:07:56,280 Speaker 2: Berkeley and some universities. Is it the educational system there, 160 00:07:56,440 --> 00:07:58,600 Speaker 2: is it some other factors? Just critical mass? 161 00:07:59,080 --> 00:08:00,840 Speaker 1: I think there is a bit of critical mass, and 162 00:08:00,880 --> 00:08:03,200 Speaker 1: there's a number of research studies that say, you know, 163 00:08:03,240 --> 00:08:05,920 Speaker 1: these network effects are large. So one of the things 164 00:08:05,920 --> 00:08:08,720 Speaker 1: we've seen is, and you see this anywhere in the country, 165 00:08:08,760 --> 00:08:12,280 Speaker 1: really is that people might start in Silicon Valley, they 166 00:08:12,320 --> 00:08:14,960 Speaker 1: might start in Austin, Texas, they might start in Boston, 167 00:08:15,120 --> 00:08:17,440 Speaker 1: but then they move, you know, family things take them 168 00:08:17,440 --> 00:08:20,160 Speaker 1: other places that we have a lot of lovely states 169 00:08:20,200 --> 00:08:23,080 Speaker 1: to live in. So people go other places, and then 170 00:08:23,240 --> 00:08:26,640 Speaker 1: they build those tech centers around them because they have 171 00:08:26,720 --> 00:08:27,480 Speaker 1: the expertise. 172 00:08:27,920 --> 00:08:30,640 Speaker 2: As strong as the tech sector is in Mary Daily's region, 173 00:08:30,680 --> 00:08:33,840 Speaker 2: commercial real estate has been struggling a bit, as it 174 00:08:33,920 --> 00:08:36,440 Speaker 2: has in some other major urban areas. 175 00:08:37,040 --> 00:08:39,400 Speaker 1: Commercial real estate's a big name for a lot of 176 00:08:39,400 --> 00:08:42,640 Speaker 1: different segments. So if you're in an industrial and warehousing space, 177 00:08:43,120 --> 00:08:45,960 Speaker 1: you're feeling very good about things right now. If you're 178 00:08:45,960 --> 00:08:49,880 Speaker 1: in retail space or even multi family housing out in 179 00:08:50,000 --> 00:08:54,480 Speaker 1: suburban areas, then you're feeling really good. You're confident. The 180 00:08:54,600 --> 00:08:58,680 Speaker 1: place where you're seeing weakness and everybody knows it is 181 00:08:58,800 --> 00:09:03,720 Speaker 1: in the urban core of particularly cities like Seattle, Portland, 182 00:09:03,920 --> 00:09:06,200 Speaker 1: San Francisco. LA is doing a little bit better, but 183 00:09:06,280 --> 00:09:08,559 Speaker 1: you can find pockets of this in LA and that 184 00:09:08,600 --> 00:09:10,000 Speaker 1: has to do with the fact that a lot of 185 00:09:10,040 --> 00:09:12,800 Speaker 1: people are still working from home in those communities. Those 186 00:09:12,800 --> 00:09:16,040 Speaker 1: big office complexes that were built up for those individuals 187 00:09:16,040 --> 00:09:19,760 Speaker 1: to work in, they just aren't They're not filled, and 188 00:09:19,800 --> 00:09:22,559 Speaker 1: so there will be a repricing and a resettlement. The 189 00:09:23,120 --> 00:09:25,560 Speaker 1: thing is, we've known it's coming for a while, and 190 00:09:25,600 --> 00:09:29,760 Speaker 1: I see private equity money, venture money sitting on the 191 00:09:29,800 --> 00:09:32,520 Speaker 1: sidelines ready to come in when the price is right. 192 00:09:32,760 --> 00:09:36,680 Speaker 1: So there'll be some repricing, there'll be some loss of valuations, 193 00:09:36,760 --> 00:09:40,600 Speaker 1: for sure, but it doesn't seem today to be the 194 00:09:40,679 --> 00:09:43,920 Speaker 1: kind of disorderly adjustment that you would worry about it's 195 00:09:43,960 --> 00:09:46,400 Speaker 1: something that is more orderly, even though it might be 196 00:09:46,800 --> 00:09:50,920 Speaker 1: certainly going to be painful for those involved, as likely 197 00:09:50,960 --> 00:09:52,120 Speaker 1: to be as disruptive. 198 00:09:52,280 --> 00:09:54,680 Speaker 2: One of the concerns is about regional banks, which tend 199 00:09:54,679 --> 00:09:57,560 Speaker 2: to be more exposed to commercial real estate. And then 200 00:09:57,559 --> 00:10:01,000 Speaker 2: we've heard about that from the FED in Washington about that. 201 00:10:01,559 --> 00:10:02,839 Speaker 2: How do you assess it out there? You have a 202 00:10:02,880 --> 00:10:05,840 Speaker 2: little experience with this with Silicon Valley Bank and things 203 00:10:05,880 --> 00:10:08,000 Speaker 2: like that. How do you assess the risk for the 204 00:10:08,040 --> 00:10:09,000 Speaker 2: banks the regional banks? 205 00:10:09,040 --> 00:10:12,520 Speaker 1: Yes, so I would separate the failure of Silicon Valley Bank, 206 00:10:12,679 --> 00:10:16,360 Speaker 1: Signature Bank, and First Republic, which really they all three 207 00:10:16,440 --> 00:10:20,040 Speaker 1: had the same experience, which is depositors who were uninsured 208 00:10:20,559 --> 00:10:24,400 Speaker 1: ran and that's a different situation than the commercial real estate. 209 00:10:24,440 --> 00:10:28,000 Speaker 1: But what they did, what that situation did is it 210 00:10:28,360 --> 00:10:32,640 Speaker 1: alerted all investors and depositors to the fact that there's 211 00:10:32,640 --> 00:10:35,480 Speaker 1: a portfolio underlying the health of a bank, and we 212 00:10:35,480 --> 00:10:38,040 Speaker 1: should focus on that portfolio. I think it's useful to 213 00:10:38,040 --> 00:10:40,200 Speaker 1: remind people too. We have over forty five hundred banks 214 00:10:40,240 --> 00:10:42,760 Speaker 1: in the United States and only three failed. So the 215 00:10:42,880 --> 00:10:45,679 Speaker 1: banking system is safe and sound and resilient, but there 216 00:10:45,679 --> 00:10:48,160 Speaker 1: will be adjustments and one of the things that you've 217 00:10:48,160 --> 00:10:51,240 Speaker 1: heard the Vice Chair of Supervision Michael Barr speak about 218 00:10:51,679 --> 00:10:56,600 Speaker 1: and other the FDIC chair and OCC is really focusing 219 00:10:57,080 --> 00:11:02,000 Speaker 1: their efforts on ensuring that banks are preparing for those adjustments. 220 00:11:02,240 --> 00:11:05,280 Speaker 1: So it's certainly there. The final thing, though, that I 221 00:11:05,360 --> 00:11:10,199 Speaker 1: think is really often got known, is that regional banks 222 00:11:10,240 --> 00:11:14,920 Speaker 1: don't have a lot in these big urban core office buildings. 223 00:11:15,080 --> 00:11:18,880 Speaker 1: Those are really investor owned, and so it's useful to 224 00:11:18,960 --> 00:11:23,000 Speaker 1: separate the concerns you might have about regional banks on 225 00:11:23,040 --> 00:11:28,360 Speaker 1: commercial real estate from those big, monolithic empty buildings that 226 00:11:28,480 --> 00:11:30,280 Speaker 1: everybody's worried won't get filled. 227 00:11:30,760 --> 00:11:33,640 Speaker 2: Many thanks to Mary Daily, president of the San Francisco 228 00:11:33,679 --> 00:11:33,959 Speaker 2: Fed