1 00:00:02,720 --> 00:00:08,719 Speaker 1: Bloomberg Audio Studios, podcasts, radio news seconds of why. 2 00:00:08,920 --> 00:00:11,079 Speaker 2: The question is not if thou count interest rights, The 3 00:00:11,160 --> 00:00:12,680 Speaker 2: question is by how much. 4 00:00:13,119 --> 00:00:15,600 Speaker 3: The answer to your question, John, is a quarter percentage 5 00:00:15,600 --> 00:00:19,040 Speaker 3: point cut as expected, but Fed officials also see two 6 00:00:19,160 --> 00:00:22,040 Speaker 3: more cuts this year, in October and December. 7 00:00:22,120 --> 00:00:26,239 Speaker 4: It's Wednesday, September seventeenth. The Federal Open Market Committee has 8 00:00:26,400 --> 00:00:29,240 Speaker 4: just wrapped up their most recent meeting in Washington, DC, 9 00:00:29,720 --> 00:00:33,720 Speaker 4: and after two days of analyzing and debating and forecasting, 10 00:00:34,000 --> 00:00:36,840 Speaker 4: the Committee voted to cut interest rates by twenty five 11 00:00:36,880 --> 00:00:37,600 Speaker 4: basis points. 12 00:00:37,720 --> 00:00:41,159 Speaker 5: I remain squarely focused on achieving our dual mandate goals 13 00:00:41,200 --> 00:00:44,080 Speaker 5: of maximum employment and stable prices for the benefit of 14 00:00:44,120 --> 00:00:48,280 Speaker 5: the American people. While the unemployment rate remains low, it 15 00:00:48,320 --> 00:00:50,479 Speaker 5: has edged up, job gains have slowed. 16 00:00:50,800 --> 00:00:52,919 Speaker 1: Yeah, it's the first time the Fed has cut an 17 00:00:52,960 --> 00:00:56,279 Speaker 1: over a year move coming after months of debate, And 18 00:00:56,320 --> 00:00:58,360 Speaker 1: on the one hand, the labor market is slowing, But 19 00:00:58,400 --> 00:01:00,400 Speaker 1: on the other hand, we're still trying to figure what 20 00:01:00,440 --> 00:01:03,920 Speaker 1: the impact of the tariffs is on prices, and consumer 21 00:01:03,960 --> 00:01:05,199 Speaker 1: spending is still going strong. 22 00:01:05,440 --> 00:01:08,319 Speaker 4: Right, you could make a convincing case for deeper cuts, 23 00:01:08,400 --> 00:01:11,280 Speaker 4: but you could also make a case for even raising 24 00:01:11,400 --> 00:01:14,080 Speaker 4: benchmark rates at this point, and we don't tend to 25 00:01:14,080 --> 00:01:17,040 Speaker 4: get a lot of these types of FED meetings where 26 00:01:17,080 --> 00:01:20,640 Speaker 4: the outcome is, you know, so debatable. So we have 27 00:01:20,720 --> 00:01:23,760 Speaker 4: to ask, how did the Central Bank actually make the 28 00:01:23,800 --> 00:01:27,240 Speaker 4: decision to cut to do that. Let's back up six 29 00:01:27,319 --> 00:01:31,520 Speaker 4: weeks to the beginning of August and head north. In fact, 30 00:01:31,800 --> 00:01:34,080 Speaker 4: we are going three thousand miles north. 31 00:01:39,440 --> 00:01:43,800 Speaker 6: I added to my collection of flies for fly fishing yesterday. 32 00:01:44,040 --> 00:01:46,839 Speaker 4: Oh, I am slightly obsessed with fishing, Lores. 33 00:01:47,000 --> 00:01:47,760 Speaker 3: I don't even fish. 34 00:01:48,000 --> 00:01:49,640 Speaker 6: I don't know I like to fish. 35 00:01:49,760 --> 00:01:52,720 Speaker 4: That's Mary Daily, president of the Federal Reserve Bank of 36 00:01:52,760 --> 00:01:53,480 Speaker 4: San Francisco. 37 00:01:53,680 --> 00:01:55,520 Speaker 6: So here's why I get these flies. I go to 38 00:01:55,600 --> 00:01:58,720 Speaker 6: places all over that have fly fishing, and then I 39 00:01:58,800 --> 00:02:03,160 Speaker 6: buy a fly that's specific to their area to remind you. 40 00:02:03,240 --> 00:02:07,640 Speaker 6: It's sort of geeky, but it reminds me that everybody fishes, 41 00:02:08,080 --> 00:02:10,280 Speaker 6: but that you have to have a local knowledge to fish. 42 00:02:10,320 --> 00:02:12,360 Speaker 4: Well, yeah, you have to have like the fly that's 43 00:02:12,400 --> 00:02:14,519 Speaker 4: in season for that particular location. 44 00:02:14,600 --> 00:02:16,200 Speaker 6: It kind of is why you go to the places 45 00:02:16,240 --> 00:02:18,560 Speaker 6: to visit to learn more about the economy. You sort 46 00:02:18,560 --> 00:02:21,080 Speaker 6: of have to You can understand it, but you don't 47 00:02:21,120 --> 00:02:23,480 Speaker 6: know it until you have the locality, so you don't 48 00:02:23,520 --> 00:02:23,680 Speaker 6: do it. 49 00:02:23,840 --> 00:02:27,000 Speaker 4: Daily oversees the twelfth District of the FED. It's the 50 00:02:27,240 --> 00:02:30,440 Speaker 4: largest of the districts and includes the nine most western 51 00:02:30,560 --> 00:02:34,359 Speaker 4: US states, plus the most northern, the Last Frontier, the 52 00:02:34,360 --> 00:02:39,560 Speaker 4: Great Land, the Sour Dough State. I am talking about Alaska, obviously. 53 00:02:39,960 --> 00:02:43,440 Speaker 1: In early August, Mary Daily visited Anchorage, the largest city 54 00:02:43,440 --> 00:02:45,760 Speaker 1: and biggest port in Alaska. It was actually your third 55 00:02:45,840 --> 00:02:48,639 Speaker 1: visit to the state this year. And she's on a mission. 56 00:02:48,320 --> 00:02:49,799 Speaker 4: Of sorts, an expedition. 57 00:02:50,160 --> 00:02:53,040 Speaker 1: Sure, she's on a northern expedition to try to find 58 00:02:53,080 --> 00:02:55,959 Speaker 1: answers to the questions that everyone in all FED officials, 59 00:02:55,960 --> 00:02:58,919 Speaker 1: everyone else are trying to constantly puzzle out. Right now, 60 00:02:59,320 --> 00:03:02,000 Speaker 1: what is going on with the US economy? Where's it headed. 61 00:03:02,080 --> 00:03:04,600 Speaker 6: I've heard that everywhere we've gone that this city's under 62 00:03:04,680 --> 00:03:07,760 Speaker 6: so much pressure and it's hard to what's your diagnosis 63 00:03:07,760 --> 00:03:08,840 Speaker 6: about how this happened? 64 00:03:09,400 --> 00:03:12,200 Speaker 4: So what was she seeing and how did it actually 65 00:03:12,240 --> 00:03:14,640 Speaker 4: inform the Fed's decision to cut rates A month later, 66 00:03:15,240 --> 00:03:18,280 Speaker 4: on the special edition of the All Thoughts podcast, we 67 00:03:18,400 --> 00:03:21,600 Speaker 4: are going to follow along as Daily tours her district, 68 00:03:21,840 --> 00:03:24,920 Speaker 4: speaking to local business leaders like a factory that makes 69 00:03:24,919 --> 00:03:27,720 Speaker 4: parts for the oil industry, and the airport and the 70 00:03:27,760 --> 00:03:30,480 Speaker 4: port itself to try to get a closer look at 71 00:03:30,480 --> 00:03:42,840 Speaker 4: the giant logistics hub that is the city of Anchorage. 72 00:03:44,200 --> 00:03:46,560 Speaker 1: You know, every town in the world, I think probably 73 00:03:46,640 --> 00:03:50,240 Speaker 1: likes to describe its residents is quote scrappy unquote, But 74 00:03:50,320 --> 00:03:53,080 Speaker 1: this really is like the first place I've been where 75 00:03:53,120 --> 00:03:56,200 Speaker 1: I think that might actually be true. People in Alaska 76 00:03:56,320 --> 00:03:57,440 Speaker 1: really do seem scrappy. 77 00:03:57,600 --> 00:03:59,680 Speaker 4: They have to be to get along up here. We 78 00:04:00,240 --> 00:04:03,560 Speaker 4: are on the edge of this vast wilderness. In fact, 79 00:04:03,960 --> 00:04:06,760 Speaker 4: one thing we learned is that people up here love 80 00:04:06,840 --> 00:04:08,960 Speaker 4: to compare the size of their state to how many 81 00:04:09,120 --> 00:04:10,520 Speaker 4: texases it would fit. 82 00:04:10,360 --> 00:04:13,280 Speaker 1: In which, to be fair, Texans love to do that. 83 00:04:13,240 --> 00:04:13,920 Speaker 7: Stuff as well. 84 00:04:14,240 --> 00:04:16,760 Speaker 4: Yeah, the answer is two and a half. By the way, 85 00:04:16,920 --> 00:04:20,000 Speaker 4: Alaska is the size of two and a half texases. Okay, 86 00:04:20,360 --> 00:04:24,080 Speaker 4: so everyone knows Alaska is big, but until you visit, 87 00:04:24,200 --> 00:04:27,679 Speaker 4: it's hard to really appreciate just how big. The only 88 00:04:27,720 --> 00:04:30,520 Speaker 4: way to get from Anchorage, which is the largest city, 89 00:04:30,800 --> 00:04:33,760 Speaker 4: to Juneo, which is the capital, is a two hour 90 00:04:33,920 --> 00:04:36,560 Speaker 4: plane ride. And if you want to haul supplies from 91 00:04:36,600 --> 00:04:39,960 Speaker 4: a place like Fairbanks, which is in the interior to 92 00:04:40,040 --> 00:04:42,919 Speaker 4: the oil fields on the north slope. That is a 93 00:04:43,040 --> 00:04:46,280 Speaker 4: ten hour drive on what is mostly a dirt road 94 00:04:46,520 --> 00:04:48,520 Speaker 4: with one gas station on the way. 95 00:04:49,120 --> 00:04:52,160 Speaker 1: It's really isolated. There's not even a railroad that takes 96 00:04:52,200 --> 00:04:54,520 Speaker 1: you to the Lower forty eight or even to Canada, 97 00:04:54,600 --> 00:04:57,320 Speaker 1: and there are mountains that basically cut off huge sections 98 00:04:57,320 --> 00:04:58,279 Speaker 1: of the state from each other. 99 00:04:58,560 --> 00:05:01,279 Speaker 4: But as we learn during our visit, Alaska is still 100 00:05:01,320 --> 00:05:03,760 Speaker 4: dealing with all the same issues that the rest of 101 00:05:03,800 --> 00:05:09,280 Speaker 4: the US faces, so things like inflation, unemployment, tariffs, housing shortages, 102 00:05:09,520 --> 00:05:10,760 Speaker 4: logistical snarls. 103 00:05:11,240 --> 00:05:13,480 Speaker 1: That's why Mary is here to try to get a 104 00:05:13,480 --> 00:05:16,640 Speaker 1: handle on the broader US economy by looking at a 105 00:05:16,640 --> 00:05:18,839 Speaker 1: place that, at least right now is sort of ground 106 00:05:19,000 --> 00:05:20,440 Speaker 1: zero for a lot of these trends. 107 00:05:20,600 --> 00:05:24,520 Speaker 6: Is to collect information. So we collect information not only 108 00:05:24,560 --> 00:05:27,120 Speaker 6: on the wide array of data that are available, and 109 00:05:27,279 --> 00:05:29,520 Speaker 6: then we have history and models, we have all of 110 00:05:29,560 --> 00:05:32,560 Speaker 6: those things, and then we have conversations. 111 00:05:32,839 --> 00:05:35,120 Speaker 1: Today, Mary is the guest of honor at the Anchorage 112 00:05:35,160 --> 00:05:40,160 Speaker 1: Economic Development Corporation's annual gathering. The Denigna Convention Center downtown 113 00:05:40,279 --> 00:05:44,480 Speaker 1: is overflowing with more than fifteen hundred local business owners, politicians, 114 00:05:44,520 --> 00:05:48,000 Speaker 1: civic leaders, they're here to mingle, network, talk shop, and 115 00:05:48,040 --> 00:05:51,120 Speaker 1: hear Mary's thoughts on where she thinks the economy stands well. 116 00:05:50,960 --> 00:05:54,200 Speaker 6: As counting the cranes is a future looking variable is 117 00:05:54,240 --> 00:05:56,960 Speaker 6: so important. So I just want to thank everybody who's 118 00:05:57,000 --> 00:06:00,320 Speaker 6: ever answered the base book, who's ever met with us. 119 00:06:00,440 --> 00:06:02,520 Speaker 6: If you like the bage book, we'll send you another one. 120 00:06:02,640 --> 00:06:03,920 Speaker 6: It used to be beige, by the way. 121 00:06:03,960 --> 00:06:06,720 Speaker 4: So this is the fact finding portion of the expedition, 122 00:06:06,920 --> 00:06:09,880 Speaker 4: because yes, Mary is giving a speech about what she's 123 00:06:09,920 --> 00:06:12,640 Speaker 4: seeing in the economy, but she's also learning from the 124 00:06:12,680 --> 00:06:14,880 Speaker 4: local businesses who are listening to her. 125 00:06:15,160 --> 00:06:17,919 Speaker 6: And what I've been hearing is that the uncertainty is 126 00:06:17,960 --> 00:06:19,279 Speaker 6: the word of the day. I guess it was on 127 00:06:19,360 --> 00:06:23,239 Speaker 6: the Bingo card, and uncertainty makes it harder for firms 128 00:06:23,240 --> 00:06:25,680 Speaker 6: and households to know what they're doing next, which makes 129 00:06:25,680 --> 00:06:29,680 Speaker 6: it harder for us as policymakers, for a reserve policymakers 130 00:06:29,680 --> 00:06:32,239 Speaker 6: to know exactly how the economy will evolve. 131 00:06:32,800 --> 00:06:35,080 Speaker 1: Mary isn't a voting member of the committee this year, 132 00:06:35,120 --> 00:06:37,719 Speaker 1: but as a Reserve bank president, she still participates in 133 00:06:37,800 --> 00:06:41,200 Speaker 1: all the FMC meetings, where she offers her own assessments 134 00:06:41,200 --> 00:06:44,000 Speaker 1: and opinions. Based on what she's seeing in the economy 135 00:06:44,000 --> 00:06:46,520 Speaker 1: of the twelfth district right now, and so her views 136 00:06:46,560 --> 00:06:48,480 Speaker 1: still do help shape the committee's decision. 137 00:06:48,680 --> 00:06:51,040 Speaker 6: All the states in my district on a regular basis, 138 00:06:51,440 --> 00:06:54,479 Speaker 6: as are my teams, and the reason for that is 139 00:06:54,480 --> 00:06:57,560 Speaker 6: so that we can understand firsthand what you are in 140 00:06:57,600 --> 00:07:00,880 Speaker 6: particularly thinking about what you see as your oppertunities when 141 00:07:00,920 --> 00:07:03,320 Speaker 6: you see your challenges, but also how do you see 142 00:07:03,320 --> 00:07:06,120 Speaker 6: the economy today. You know, there's an interesting statistic we 143 00:07:06,320 --> 00:07:10,160 Speaker 6: just heard that people feel decently pretty good about their 144 00:07:10,200 --> 00:07:14,040 Speaker 6: own situation, but pessimistic about the economy. We need to 145 00:07:14,160 --> 00:07:17,000 Speaker 6: understand why. What are you seeing as you look out? 146 00:07:17,360 --> 00:07:20,040 Speaker 6: Businesses are making decisions today about what they're going to 147 00:07:20,080 --> 00:07:21,680 Speaker 6: do at the end of the year. We need to 148 00:07:21,720 --> 00:07:24,200 Speaker 6: know what those are. We need to know how households 149 00:07:24,240 --> 00:07:26,880 Speaker 6: are feeling. Are they feeling strapped? Are they feeling like 150 00:07:26,920 --> 00:07:31,160 Speaker 6: they have enough disposable income? And the data alone, looking 151 00:07:31,160 --> 00:07:34,720 Speaker 6: at the published data, not all the micro data. You 152 00:07:34,720 --> 00:07:37,200 Speaker 6: could look at a hundred series and you would never 153 00:07:37,280 --> 00:07:38,520 Speaker 6: have the complete picture. 154 00:07:38,960 --> 00:07:41,760 Speaker 4: I'm sure we've all heard the phrase data dependent, and 155 00:07:41,800 --> 00:07:45,080 Speaker 4: the feed leans heavily on the volumes and volumes of 156 00:07:45,200 --> 00:07:50,120 Speaker 4: economic statistics that get released every month when making its decisions, 157 00:07:50,480 --> 00:07:53,880 Speaker 4: but sometimes you can augment that data with things you 158 00:07:53,920 --> 00:07:55,080 Speaker 4: observe on the ground. 159 00:07:55,800 --> 00:07:58,640 Speaker 1: Right, So, just a few days before the Alaska trip, 160 00:07:58,640 --> 00:08:01,240 Speaker 1: we got a jobs report that heavily revised down the 161 00:08:01,280 --> 00:08:04,640 Speaker 1: employment numbers from the earlier months. It was a big surprise, 162 00:08:05,000 --> 00:08:08,160 Speaker 1: huge moment for the markets, but it didn't really surprise Mary. 163 00:08:08,360 --> 00:08:11,040 Speaker 6: And what was interesting about the jobs report on Friday 164 00:08:11,360 --> 00:08:13,600 Speaker 6: is it better matched in the direction of change, not 165 00:08:13,680 --> 00:08:16,040 Speaker 6: in the magnitude. It better matched what I've been hearing. 166 00:08:16,440 --> 00:08:20,200 Speaker 6: And so a discippointing device for data that you don't 167 00:08:20,200 --> 00:08:23,840 Speaker 6: know if they're really accurate is what you hear from people. 168 00:08:23,880 --> 00:08:26,720 Speaker 6: Because people do not tell you I feel really, really 169 00:08:26,720 --> 00:08:29,200 Speaker 6: comfortable getting a job only to find out that the 170 00:08:29,240 --> 00:08:32,480 Speaker 6: job market report is bad. What they will tell you is, boy, 171 00:08:32,520 --> 00:08:35,760 Speaker 6: it looks really worrisome out there. And then you get 172 00:08:35,760 --> 00:08:38,560 Speaker 6: a jobs report that doesn't look like the rapid job 173 00:08:38,600 --> 00:08:40,199 Speaker 6: growth that was the thing that was out of whack, 174 00:08:40,520 --> 00:08:43,120 Speaker 6: the rapid job growth from the month before. Is what 175 00:08:43,320 --> 00:08:45,840 Speaker 6: I said, Well, really, that's not what I'm hearing. What's 176 00:08:45,880 --> 00:08:47,840 Speaker 6: the gap? And we spent a lot of time digging 177 00:08:47,880 --> 00:08:50,920 Speaker 6: in and unpacking that but then when the job's market 178 00:08:50,960 --> 00:08:53,520 Speaker 6: report got revised, I was like, Okay, that makes more 179 00:08:53,559 --> 00:08:54,199 Speaker 6: sense even. 180 00:08:54,000 --> 00:08:56,560 Speaker 4: But of course jobs aren't The only thing that FED 181 00:08:56,600 --> 00:09:01,000 Speaker 4: cares about. It's mandate is low unemployment and stable inflation, 182 00:09:01,400 --> 00:09:04,959 Speaker 4: and these things seem to be operating across currents right now. 183 00:09:05,320 --> 00:09:08,080 Speaker 4: Inflation has been above the FEDS two percent target for 184 00:09:08,120 --> 00:09:11,480 Speaker 4: a while, and the concern is that with tariffs coming 185 00:09:11,480 --> 00:09:15,160 Speaker 4: in from the Trump administration, prices are just going to go. 186 00:09:15,200 --> 00:09:15,920 Speaker 8: Up further. 187 00:09:17,480 --> 00:09:17,720 Speaker 7: Time. 188 00:09:20,960 --> 00:09:23,400 Speaker 1: So to understand the risk here, we're following Mary to 189 00:09:23,440 --> 00:09:26,960 Speaker 1: the offices of Northern Solutions. It's an Alaskan company which 190 00:09:27,000 --> 00:09:30,040 Speaker 1: makes components and parts for the oil industry, which is 191 00:09:30,080 --> 00:09:31,720 Speaker 1: obviously big business in the state. 192 00:09:32,280 --> 00:09:35,520 Speaker 4: Yeah, all the pipes and casings and spools and valves 193 00:09:35,559 --> 00:09:36,360 Speaker 4: and things like that. 194 00:09:39,440 --> 00:09:42,199 Speaker 1: And as you can imagine, steel is a pretty key 195 00:09:42,240 --> 00:09:44,840 Speaker 1: input for a lot of these products. Since June, there's 196 00:09:44,840 --> 00:09:47,719 Speaker 1: been a whopping fifty percent tariff on steel and aluminum 197 00:09:47,720 --> 00:09:48,480 Speaker 1: coming from abroad. 198 00:09:49,120 --> 00:09:52,559 Speaker 9: So we compared twenty one So today it's cheaper inste 199 00:09:52,679 --> 00:09:56,360 Speaker 9: if we prepared today to twenty three twenty four. 200 00:09:56,600 --> 00:09:59,440 Speaker 1: Yeah, it's small and companies like Northern Solutions are trying 201 00:09:59,440 --> 00:10:02,559 Speaker 1: to figure out how to navigate all these new trade restrictions. 202 00:10:02,800 --> 00:10:05,280 Speaker 1: It's not as easy as just say switching to a 203 00:10:05,360 --> 00:10:06,040 Speaker 1: US supplier. 204 00:10:06,760 --> 00:10:09,520 Speaker 2: You do that and you can't get the continuity, well, 205 00:10:09,600 --> 00:10:12,800 Speaker 2: then that's a cost to you that not need back there. 206 00:10:13,240 --> 00:10:16,520 Speaker 2: So it's really helpful for us to think about when 207 00:10:16,520 --> 00:10:19,320 Speaker 2: we try to think out the effects of parrots. Yeah, 208 00:10:19,360 --> 00:10:25,240 Speaker 2: effects of changes on any administration monitor ustory absolutely. 209 00:10:25,280 --> 00:10:28,520 Speaker 9: I mean the terriffs, so the tariffs balanced it so 210 00:10:28,559 --> 00:10:30,800 Speaker 9: I can go to a US mil I can go 211 00:10:30,840 --> 00:10:33,560 Speaker 9: to a foreign mill and I'm going to pay the same. 212 00:10:33,440 --> 00:10:34,640 Speaker 10: Price now with that tariff. 213 00:10:34,960 --> 00:10:37,600 Speaker 9: But it's the industry that mill's here too, and the 214 00:10:37,679 --> 00:10:41,320 Speaker 9: lead time of that steel that's the problem. And honestly, 215 00:10:41,360 --> 00:10:43,640 Speaker 9: we have a lot of small steel mills here in 216 00:10:43,640 --> 00:10:46,160 Speaker 9: this country, a lot of small ones. They're very very 217 00:10:46,200 --> 00:10:48,480 Speaker 9: specific to a certain industry. 218 00:10:49,200 --> 00:10:51,640 Speaker 4: In other words, all steel isn't equal. 219 00:10:52,080 --> 00:10:54,400 Speaker 10: So there's mills all around the world, steel mills all 220 00:10:54,440 --> 00:10:57,439 Speaker 10: around the world. I can't use them all because of that, 221 00:10:57,600 --> 00:11:01,640 Speaker 10: because of their mptrs, not tree of origin, just how 222 00:11:01,720 --> 00:11:04,280 Speaker 10: well they do it. Okay, So we have a lot 223 00:11:04,320 --> 00:11:06,760 Speaker 10: of steel that comes into the US too, mean that 224 00:11:06,760 --> 00:11:11,920 Speaker 10: that comes from brought in as green to he treated 225 00:11:11,960 --> 00:11:15,040 Speaker 10: in the US, so that MTR is generated from the 226 00:11:15,200 --> 00:11:18,760 Speaker 10: US heat treat facility and now it's FO one percent American, 227 00:11:18,840 --> 00:11:20,360 Speaker 10: and then you avloid all this stuff on it. 228 00:11:21,240 --> 00:11:23,640 Speaker 9: So when we talked about metals that I can use 229 00:11:23,679 --> 00:11:25,800 Speaker 9: there all over the place, but I can't use them all. 230 00:11:26,040 --> 00:11:28,440 Speaker 4: This is actually a really good example of the kind 231 00:11:28,480 --> 00:11:32,320 Speaker 4: of information that makes Mary's visits so important. It's the 232 00:11:32,440 --> 00:11:35,199 Speaker 4: kind of thing that you can't really learn from an 233 00:11:35,240 --> 00:11:36,400 Speaker 4: economic data release. 234 00:11:36,440 --> 00:11:37,520 Speaker 3: I'm good use that. 235 00:11:37,760 --> 00:11:40,080 Speaker 6: One of the things that I just to show you 236 00:11:40,120 --> 00:11:43,720 Speaker 6: how you how you use things I've learned is that 237 00:11:44,080 --> 00:11:47,160 Speaker 6: if you think about how likely we gift all of 238 00:11:47,160 --> 00:11:49,800 Speaker 6: our potouction from the United States, are how likely is 239 00:11:49,840 --> 00:11:52,720 Speaker 6: a global market on steel to be able to if 240 00:11:52,720 --> 00:11:54,280 Speaker 6: we put it all back today. I mean, you've taught 241 00:11:54,320 --> 00:11:56,719 Speaker 6: me two things already that not everybody is here during 242 00:11:56,760 --> 00:11:59,800 Speaker 6: your industry, and you can have to have a specific, 243 00:12:00,320 --> 00:12:03,000 Speaker 6: you know, heat strategy in order to even use the tilS. 244 00:12:03,320 --> 00:12:04,880 Speaker 6: They have to be a startin following. So it just 245 00:12:04,920 --> 00:12:07,360 Speaker 6: means that you don't have the open marketplace that I 246 00:12:07,360 --> 00:12:09,320 Speaker 6: think many people would think you have, right, so they 247 00:12:09,320 --> 00:12:12,240 Speaker 6: would just look at the number of manufacturers they'd say, oh, look, 248 00:12:12,280 --> 00:12:17,439 Speaker 6: you could do all of this, but yeah, there's barriers. 249 00:12:17,480 --> 00:12:21,160 Speaker 4: You know, there's another big Alaskan business that's grappling with tariffs, 250 00:12:21,400 --> 00:12:25,880 Speaker 4: and that is the port next stop, the Port of Alaska. 251 00:12:42,200 --> 00:12:45,680 Speaker 6: Maybe have a demand for those ships, the commission message, 252 00:12:46,080 --> 00:12:48,160 Speaker 6: although I'll say that's it in particular. 253 00:12:48,240 --> 00:12:51,240 Speaker 3: So they have three ships that they rotate between, and 254 00:12:52,040 --> 00:12:52,439 Speaker 3: they have. 255 00:12:52,400 --> 00:12:54,360 Speaker 1: The Port of Alaska used to be called the Port 256 00:12:54,400 --> 00:12:56,840 Speaker 1: of Anchorage. By the way, very cool. It's a deep 257 00:12:56,880 --> 00:13:00,720 Speaker 1: water port. The tides here are crazy. Here's a Jim Jagger, 258 00:13:00,800 --> 00:13:03,640 Speaker 1: the ports acting director, explaining what they're having to deal with. 259 00:13:04,000 --> 00:13:07,720 Speaker 3: So Port of Alaska has a variety of issues that 260 00:13:08,080 --> 00:13:12,479 Speaker 3: we're not unique, except that we're unique in the combination. 261 00:13:13,480 --> 00:13:17,280 Speaker 3: So what are our challenges? For instance, we have a 262 00:13:17,520 --> 00:13:20,360 Speaker 3: pretty fast current. We have a thirty foot tide flus 263 00:13:20,880 --> 00:13:24,080 Speaker 3: so between low tide and high tide thirty thirty four. 264 00:13:24,520 --> 00:13:27,080 Speaker 3: And our maximum tide flux between the lowest tide of 265 00:13:27,080 --> 00:13:28,720 Speaker 3: the season and the highest tides twenty. 266 00:13:29,160 --> 00:13:31,440 Speaker 10: I heard the second biggest tide flux in the world. 267 00:13:31,520 --> 00:13:35,280 Speaker 3: Yeah, it's actually depending on it's probably fifth or sixth Okay, 268 00:13:35,280 --> 00:13:38,000 Speaker 3: but in places where people actually do commerce. 269 00:13:37,920 --> 00:13:38,559 Speaker 11: We're number two. 270 00:13:38,920 --> 00:13:41,640 Speaker 4: So because of the harsh growing conditions and the short 271 00:13:41,679 --> 00:13:45,040 Speaker 4: summer season in Alaska, almost all of the state's fresh 272 00:13:45,080 --> 00:13:48,160 Speaker 4: food has to be imported, and the vast majority of 273 00:13:48,200 --> 00:13:52,080 Speaker 4: that food arrives by boat from west coast piers, mostly 274 00:13:52,200 --> 00:13:55,640 Speaker 4: Seattle and Tacoma, and with only four ships coming in 275 00:13:55,679 --> 00:14:00,240 Speaker 4: per week, Alaska's supply lines are stretched very tight, and 276 00:14:00,280 --> 00:14:03,760 Speaker 4: Mary has actually experienced the downside of those stretched supply 277 00:14:03,880 --> 00:14:07,079 Speaker 4: lines before. Here she is talking with Jim about. 278 00:14:06,800 --> 00:14:08,240 Speaker 6: It running out of the things. We ran out of 279 00:14:08,280 --> 00:14:11,360 Speaker 6: this when I was here in May, the hotel ran 280 00:14:11,400 --> 00:14:14,079 Speaker 6: out of coffee because they said the supplier hadn't gotten 281 00:14:14,120 --> 00:14:16,760 Speaker 6: it in and they wouldn't get it until in May. 282 00:14:17,040 --> 00:14:19,880 Speaker 3: We had we lost a ship because of a mechanical 283 00:14:20,480 --> 00:14:23,960 Speaker 3: If your timing was correct, you may have your coffee 284 00:14:24,040 --> 00:14:24,880 Speaker 3: may have been coming down there. 285 00:14:24,960 --> 00:14:26,720 Speaker 6: Yeah, I went down for coffee and she said, we 286 00:14:27,080 --> 00:14:29,200 Speaker 6: don't have any coffee before that. 287 00:14:29,200 --> 00:14:31,680 Speaker 3: That actually demonstrates how skinny are a supply line. 288 00:14:31,840 --> 00:14:34,920 Speaker 6: Yeah, that's why I wanted to talk about it. I'm 289 00:14:34,920 --> 00:14:37,520 Speaker 6: still I'm not traumatized by my lack of cof but 290 00:14:37,800 --> 00:14:41,600 Speaker 6: I just was surprised at how I'm surprised at how 291 00:14:42,080 --> 00:14:43,480 Speaker 6: fragile our vulnerable. 292 00:14:43,880 --> 00:14:45,960 Speaker 3: We have six to ten days worth of food in 293 00:14:46,000 --> 00:14:49,320 Speaker 3: the state, so we import. Depending on whose numbers you believe, 294 00:14:49,400 --> 00:14:51,560 Speaker 3: between ninety four and ninety six percent of the food 295 00:14:51,600 --> 00:14:55,760 Speaker 3: consumed in Alaska is important figure. We're handling three quarters 296 00:14:55,800 --> 00:14:58,760 Speaker 3: of that, so you know, if that's coming in. We 297 00:14:59,280 --> 00:15:02,040 Speaker 3: have four Schedu tool container ships a week, two on Sundays, 298 00:15:02,040 --> 00:15:05,760 Speaker 3: two on Tuesdays. If we lose a ship, you know, 299 00:15:05,880 --> 00:15:08,120 Speaker 3: that's twenty five percent of the food for the next week. 300 00:15:08,920 --> 00:15:11,320 Speaker 3: And it is very realistic that if you walk into 301 00:15:11,320 --> 00:15:14,440 Speaker 3: the fred Meyer grocery store and you go, huh, why 302 00:15:14,480 --> 00:15:19,240 Speaker 3: is there no salad? You know that's why. And you 303 00:15:19,280 --> 00:15:22,280 Speaker 3: know it's an interesting take. If you go down to 304 00:15:22,320 --> 00:15:24,840 Speaker 3: the lower forty eight and say, go to home Depot. 305 00:15:25,360 --> 00:15:29,880 Speaker 3: Home Depot's lower forty eight stores have a restock where 306 00:15:29,880 --> 00:15:32,880 Speaker 3: they can restock an entire store in thirty two hours. 307 00:15:33,200 --> 00:15:34,840 Speaker 3: So if you're on the Gulf Coast and they have 308 00:15:34,880 --> 00:15:37,800 Speaker 3: a hurricane, they completely sell the store out. They're set 309 00:15:37,880 --> 00:15:40,240 Speaker 3: up so that they can come in thirty two hours 310 00:15:40,320 --> 00:15:44,520 Speaker 3: later they're totally restocked. Okay, now apply that model to 311 00:15:44,560 --> 00:15:48,600 Speaker 3: the Alaska where we have no warehousing thirty two hours. 312 00:15:48,680 --> 00:15:51,520 Speaker 3: It means if if we have an earthquake or something 313 00:15:51,560 --> 00:15:54,560 Speaker 3: happens here and they empty out the store, they place 314 00:15:54,640 --> 00:15:58,160 Speaker 3: the order thirty two hours to get a home up 315 00:15:58,200 --> 00:16:01,480 Speaker 3: on the dock. There is then a sixty six and 316 00:16:01,480 --> 00:16:04,960 Speaker 3: a half hour float up the anchorage. And that's assuming 317 00:16:05,000 --> 00:16:06,400 Speaker 3: you're on the right cycle and you don't have to 318 00:16:06,400 --> 00:16:08,280 Speaker 3: wait a couple of days till the next ship leaves. 319 00:16:08,720 --> 00:16:10,440 Speaker 3: So it gets up here in sixty six and a 320 00:16:10,480 --> 00:16:12,840 Speaker 3: half hours, and then it's got to make it from 321 00:16:12,840 --> 00:16:16,280 Speaker 3: anchorage to wherever the final destination is. So if you're 322 00:16:16,560 --> 00:16:19,760 Speaker 3: in midtown Anchorage, well you'll you'll be there this afternoon. 323 00:16:20,600 --> 00:16:23,960 Speaker 3: If it's in Fairbanks, well that's another day. So suddenly 324 00:16:24,000 --> 00:16:27,000 Speaker 3: your thirty two hour restock, you know, could be six 325 00:16:27,120 --> 00:16:27,720 Speaker 3: seven days. 326 00:16:28,200 --> 00:16:30,640 Speaker 4: Can I ask a dumb question? But why don't you 327 00:16:30,640 --> 00:16:32,520 Speaker 4: build some warehousing capacity? 328 00:16:32,560 --> 00:16:33,360 Speaker 9: That was my question. 329 00:16:34,640 --> 00:16:35,480 Speaker 4: I don't think it's dumb. 330 00:16:35,520 --> 00:16:36,320 Speaker 8: I'm just going to ask those. 331 00:16:37,160 --> 00:16:40,920 Speaker 3: Problem is that we have a very small population spread 332 00:16:40,920 --> 00:16:42,240 Speaker 3: out over a huge area. 333 00:16:42,320 --> 00:16:44,080 Speaker 7: You know, three quarters of a million people in. 334 00:16:44,040 --> 00:16:47,880 Speaker 3: The entire state, so basically a city, right, and our 335 00:16:47,960 --> 00:16:49,880 Speaker 3: state is twenty half times the size of Texas. 336 00:16:50,800 --> 00:16:53,880 Speaker 7: But if you really want to see it, Go to Bushell, Aska. 337 00:16:54,000 --> 00:16:56,400 Speaker 1: That's John Day, an engineer who is leading a big 338 00:16:56,440 --> 00:16:57,920 Speaker 1: modernization effort at the port. 339 00:16:58,040 --> 00:17:00,920 Speaker 7: So go to these remote communities and then you'll really 340 00:17:00,920 --> 00:17:05,600 Speaker 7: see the effect of what you're talking about. It's it's pronounced. 341 00:17:05,680 --> 00:17:09,120 Speaker 7: If they if they get somebody's communities only get three 342 00:17:09,200 --> 00:17:13,600 Speaker 7: four barges a year. Basically, milk is hugely expensive. Anything 343 00:17:13,640 --> 00:17:16,159 Speaker 7: fresh is very expensive. If you go to you know, 344 00:17:16,280 --> 00:17:18,639 Speaker 7: I've worked living here, I've worked in a lot of 345 00:17:18,680 --> 00:17:22,600 Speaker 7: remote places. We're talking Kodiak or Saint Paul Island or 346 00:17:22,720 --> 00:17:26,159 Speaker 7: Bethel or something. Then you really see the end of 347 00:17:26,200 --> 00:17:30,600 Speaker 7: the supply chain and it's super sensitive in those locations. 348 00:17:30,000 --> 00:17:31,840 Speaker 6: So it's very it can be vulnerable here, but it's 349 00:17:31,840 --> 00:17:33,200 Speaker 6: sort of fragile. 350 00:17:33,359 --> 00:17:36,200 Speaker 7: Vulnerable, and we're kind of a hub. It's a hub 351 00:17:36,200 --> 00:17:38,800 Speaker 7: and spoke system, so we're a hub that helps supply 352 00:17:39,160 --> 00:17:42,280 Speaker 7: those areas and if we're sensitive there ten times. 353 00:17:42,640 --> 00:17:42,840 Speaker 9: Yeah. 354 00:17:43,920 --> 00:17:46,680 Speaker 1: Now, just to make things even more complicated, the port 355 00:17:46,760 --> 00:17:49,959 Speaker 1: also has tariffs to contend with. Is the primary import 356 00:17:50,040 --> 00:17:52,119 Speaker 1: hub from the entire state. You can imagine that the 357 00:17:52,119 --> 00:17:54,840 Speaker 1: port thinks about this issue quite a bit. Not only 358 00:17:54,920 --> 00:17:57,800 Speaker 1: could tariff's impact trade all those ships going in and 359 00:17:57,840 --> 00:18:00,959 Speaker 1: out of the harbor, stopping to refuel forth. But they 360 00:18:01,000 --> 00:18:03,040 Speaker 1: could get the first look at how companies choose to 361 00:18:03,040 --> 00:18:04,760 Speaker 1: respond to any increase in costs. 362 00:18:04,880 --> 00:18:06,640 Speaker 6: Also, it's just dis likely to push up the price 363 00:18:06,680 --> 00:18:09,280 Speaker 6: of goods. Oh yeah, so they're gonna face tariffs on goods, 364 00:18:09,280 --> 00:18:11,560 Speaker 6: but they're also going to face port fees on goods, 365 00:18:11,600 --> 00:18:13,360 Speaker 6: and so then it's just more expensive. 366 00:18:13,359 --> 00:18:16,680 Speaker 3: It gets worse though, because we have we have the 367 00:18:17,200 --> 00:18:21,840 Speaker 3: death spiral. So we raise our tariffs and then right now, 368 00:18:21,920 --> 00:18:24,600 Speaker 3: most of the cargoes coming in out our deep water vessels. 369 00:18:24,640 --> 00:18:27,880 Speaker 3: But if we raise our tariffs per ton enough, at 370 00:18:27,880 --> 00:18:30,920 Speaker 3: some point, some folks who are shipping things that are 371 00:18:30,960 --> 00:18:34,679 Speaker 3: non time sensitive new cars, you know, we'll go, you know, 372 00:18:35,119 --> 00:18:36,960 Speaker 3: for the tariff. I'm just going to bring it up 373 00:18:37,000 --> 00:18:40,960 Speaker 3: on a on a barge into Wittier and I'll save 374 00:18:41,000 --> 00:18:45,120 Speaker 3: the tariff. And then what happens is that then reduces 375 00:18:45,160 --> 00:18:48,600 Speaker 3: our overall tonnage. We still have to make our debt payment, 376 00:18:48,880 --> 00:18:52,080 Speaker 3: so we now have to increase our terraffs more. So 377 00:18:52,200 --> 00:18:55,119 Speaker 3: we're getting into the spiral. Food prices just wight not 378 00:18:55,240 --> 00:18:57,399 Speaker 3: be even more And oh, by the way, you know, 379 00:18:57,640 --> 00:19:00,280 Speaker 3: maybe you're not paying the teriff on your truck. You're 380 00:19:00,280 --> 00:19:01,840 Speaker 3: going to get it ten days later than you thought 381 00:19:01,880 --> 00:19:04,840 Speaker 3: you were, you know, so you're getting worse cargo service also, 382 00:19:05,000 --> 00:19:09,320 Speaker 3: So the impact on Alaskans is they're paying more for 383 00:19:09,400 --> 00:19:14,080 Speaker 3: certain things like food and everything else is the cargo 384 00:19:14,119 --> 00:19:15,120 Speaker 3: service is less good. 385 00:19:16,000 --> 00:19:19,560 Speaker 6: Well that the normal way that all of this, any 386 00:19:19,640 --> 00:19:22,560 Speaker 6: kind of extra tax, ships out is you either wait 387 00:19:22,600 --> 00:19:25,320 Speaker 6: longer or you pay more. Yeah, that's that's just how 388 00:19:25,320 --> 00:19:27,480 Speaker 6: it works, I mean, in any of the things. That's 389 00:19:27,520 --> 00:19:31,280 Speaker 6: why I tried to put an optimistic endpoint on the 390 00:19:31,320 --> 00:19:34,000 Speaker 6: speech is because you can I think ultimately it's fair. 391 00:19:34,080 --> 00:19:36,320 Speaker 6: You guys are very enthusiastic about what you're trying to do. 392 00:19:36,800 --> 00:19:38,920 Speaker 6: But there's the other side of it, which can easily 393 00:19:39,000 --> 00:19:39,879 Speaker 6: demoralize people. 394 00:19:39,960 --> 00:19:40,080 Speaker 4: Right. 395 00:19:40,119 --> 00:19:42,760 Speaker 6: It just seems like an insurmountable problem when you think 396 00:19:42,760 --> 00:19:45,040 Speaker 6: of the cost structure here. But we have no option, 397 00:19:45,320 --> 00:19:47,560 Speaker 6: no exactly. So you can either back yourself into corner 398 00:19:47,640 --> 00:19:49,679 Speaker 6: with no option, or you can just say well and 399 00:19:49,760 --> 00:19:53,200 Speaker 6: be sad, right, or you can just get busy with purpose. 400 00:19:53,840 --> 00:19:56,800 Speaker 1: So yeah, it's sort of common knowledge that it's expensive 401 00:19:56,800 --> 00:19:59,040 Speaker 1: to live in Alaska. It just costs more to get 402 00:19:59,080 --> 00:20:02,399 Speaker 1: goods and services pure and reasons. Understand that's part of 403 00:20:02,400 --> 00:20:04,440 Speaker 1: the deal. But there are limits to just how much 404 00:20:04,480 --> 00:20:06,840 Speaker 1: of a premium Alaskans are willing to pay to live here, 405 00:20:07,119 --> 00:20:09,280 Speaker 1: and just how much businesses can get away with when 406 00:20:09,320 --> 00:20:12,280 Speaker 1: it comes to pricing. Cheryl Beckham, director of finance at 407 00:20:12,280 --> 00:20:14,440 Speaker 1: the Port of Alaska, talks about this plant with Mary. 408 00:20:14,760 --> 00:20:18,160 Speaker 6: I'm revealing my economists background, but it just makes sense 409 00:20:18,200 --> 00:20:19,800 Speaker 6: that the price would be higher here because you have 410 00:20:19,840 --> 00:20:22,520 Speaker 6: all these additional costs, right, But you're saying the small 411 00:20:22,520 --> 00:20:24,720 Speaker 6: communities think it should be like it is in the 412 00:20:24,760 --> 00:20:26,840 Speaker 6: lower forty eighth, So you have to put this difference. 413 00:20:26,960 --> 00:20:29,800 Speaker 3: So there's a similar So they understand that there's a 414 00:20:29,840 --> 00:20:30,760 Speaker 3: transportation cost. 415 00:20:30,880 --> 00:20:33,600 Speaker 6: But what is that margin, Okay, if they're willing. 416 00:20:33,400 --> 00:20:36,359 Speaker 11: To accept, right, So as costs go up and fuel 417 00:20:36,400 --> 00:20:38,840 Speaker 11: goes up, and the you know, the fuel bars and 418 00:20:38,920 --> 00:20:41,679 Speaker 11: tankers that bring it, they cost more, so. 419 00:20:41,640 --> 00:20:44,280 Speaker 6: You're probably always having a little less margin up here. 420 00:20:44,320 --> 00:20:46,680 Speaker 4: Right, yes, right, so you do This is the really 421 00:20:46,760 --> 00:20:49,640 Speaker 4: big question. How much of the extra cost coming from 422 00:20:49,640 --> 00:20:52,879 Speaker 4: the tariffs is going to be absorbed by the companies themselves, 423 00:20:53,160 --> 00:20:58,040 Speaker 4: whether it's importers or the transportation businesses. Or middlemen like 424 00:20:58,080 --> 00:21:00,440 Speaker 4: the port, and how much of the cost is going 425 00:21:00,480 --> 00:21:04,440 Speaker 4: to be passed on to consumers, which would basically risk 426 00:21:04,600 --> 00:21:05,879 Speaker 4: fanning inflation again. 427 00:21:06,160 --> 00:21:08,080 Speaker 1: And that is a big deal for a state which 428 00:21:08,080 --> 00:21:10,960 Speaker 1: already has a very high cost of living, precisely because 429 00:21:11,000 --> 00:21:13,640 Speaker 1: all this stuff needs to be imported and often sent 430 00:21:13,720 --> 00:21:16,840 Speaker 1: on to really remote locations within the state. And even 431 00:21:16,840 --> 00:21:20,160 Speaker 1: if you're not necessarily importing foreign goods, tariffs can still 432 00:21:20,160 --> 00:21:22,040 Speaker 1: push up the price of what's made domestically. 433 00:21:22,320 --> 00:21:30,119 Speaker 6: Question that we're grappling with making monetary policies. There's taxes, immigration, deregulation, tariffs, 434 00:21:30,440 --> 00:21:33,399 Speaker 6: and those things have different likely effects, et cetera. So 435 00:21:33,400 --> 00:21:36,040 Speaker 6: one of the questions I've been asking people when we 436 00:21:36,080 --> 00:21:39,160 Speaker 6: meet is do any of those things? Can you see 437 00:21:39,160 --> 00:21:43,240 Speaker 6: any of those effects immediately affecting your business here? And 438 00:21:43,280 --> 00:21:46,359 Speaker 6: do you have any sense if they will immediately? 439 00:21:47,359 --> 00:21:50,439 Speaker 7: Well, the terrible things come up in our construction. So 440 00:21:50,480 --> 00:21:53,280 Speaker 7: we have a lot of big construction coming up, like 441 00:21:53,320 --> 00:21:56,240 Speaker 7: a couple of billion dollars worth of infrastructure. 442 00:21:57,640 --> 00:22:01,520 Speaker 11: Is that port specific Yeah, that's our doc okay, And 443 00:22:02,119 --> 00:22:06,159 Speaker 11: most of that is by America because we're trying to 444 00:22:06,160 --> 00:22:09,400 Speaker 11: get betteral bonding, and that comes with a territory, so the. 445 00:22:09,280 --> 00:22:12,800 Speaker 7: Tariffs are not directly affecting that because theoretically that's on 446 00:22:12,920 --> 00:22:17,960 Speaker 7: foreign goods. However, it floats the whole the whole harbor up. 447 00:22:18,040 --> 00:22:21,479 Speaker 7: So the price is steel by America, steel by America, 448 00:22:21,560 --> 00:22:24,480 Speaker 7: this buy America. That all goes up. So it has 449 00:22:24,800 --> 00:22:27,040 Speaker 7: a large effect on that. 450 00:22:27,359 --> 00:22:30,000 Speaker 6: How much of you seeing prices rise maybe from when 451 00:22:30,040 --> 00:22:31,919 Speaker 6: you were originally planning it? 452 00:22:32,000 --> 00:22:34,600 Speaker 7: I mean, no, by one, We admit that number, but 453 00:22:34,760 --> 00:22:39,280 Speaker 7: it's a large number. We started off ten years ago 454 00:22:39,359 --> 00:22:43,439 Speaker 7: with something that was four hundred million dollars billion. 455 00:22:43,520 --> 00:22:46,159 Speaker 4: Now right the Port of Alaska is in the middle 456 00:22:46,200 --> 00:22:49,960 Speaker 4: of a two and a half billion dollar modernization program, 457 00:22:50,040 --> 00:22:52,560 Speaker 4: so it's a pretty bad time for the cost of 458 00:22:52,600 --> 00:22:56,320 Speaker 4: materials to be going up. And there's also the financing costs. 459 00:22:56,400 --> 00:23:00,240 Speaker 4: Right if interest rates go up because inflation is rising, 460 00:23:00,400 --> 00:23:04,080 Speaker 4: that also adds to the cost, possibly exponentially. 461 00:23:04,320 --> 00:23:06,560 Speaker 6: So can I ask a question about from all three 462 00:23:06,600 --> 00:23:09,160 Speaker 6: of you, is like, if you think about the work 463 00:23:09,200 --> 00:23:11,800 Speaker 6: you do here and the things that are facing Alaska 464 00:23:11,880 --> 00:23:15,200 Speaker 6: with all the just the economy, the changes in policy, 465 00:23:15,560 --> 00:23:19,119 Speaker 6: interest rates, et cetera, what's worrying you right now? 466 00:23:21,080 --> 00:23:27,760 Speaker 7: Well, worries me is financing our project billion dollar project, right, 467 00:23:27,800 --> 00:23:30,920 Speaker 7: and we have some state and federal funds. The rest 468 00:23:30,920 --> 00:23:35,080 Speaker 7: of it is slated for local revenue bonds. 469 00:23:35,280 --> 00:23:37,720 Speaker 6: Okay, now do you think does pass. 470 00:23:38,320 --> 00:23:42,359 Speaker 7: They've given us authority to issue those. But the question 471 00:23:42,480 --> 00:23:47,000 Speaker 7: is how much can you push into the market once 472 00:23:47,240 --> 00:23:49,959 Speaker 7: and it puts our debt load front and whatever it 473 00:23:50,000 --> 00:23:53,840 Speaker 7: is fifty million, we have now up to billions from 474 00:23:53,880 --> 00:23:54,560 Speaker 7: one point one. 475 00:23:54,720 --> 00:23:56,800 Speaker 8: We have authority for one point on it. 476 00:23:56,800 --> 00:23:59,200 Speaker 7: It greatly increases our debtloads. So that's the biggest. 477 00:23:59,440 --> 00:24:03,560 Speaker 3: So our goal is one third one third, one third, 478 00:24:03,640 --> 00:24:06,720 Speaker 3: one third federal money, one third state money, one third 479 00:24:06,760 --> 00:24:10,400 Speaker 3: local money. For our next DOC, it's going to be 480 00:24:10,600 --> 00:24:14,359 Speaker 3: roughly nine hundred million dollars right at this point, we 481 00:24:14,520 --> 00:24:19,040 Speaker 3: have ninety percent is going to be local, five percent state, 482 00:24:19,280 --> 00:24:24,240 Speaker 3: five percent federal. If we go forward to finance the 483 00:24:24,400 --> 00:24:29,360 Speaker 3: ninety percent, that's the local share after forty years, two 484 00:24:29,359 --> 00:24:35,080 Speaker 3: point two two point two eight billion dollars is what 485 00:24:35,080 --> 00:24:37,479 Speaker 3: we're going to pay back for nine hundred billion. So 486 00:24:37,640 --> 00:24:41,119 Speaker 3: you know, with that, the cost of financing it's going 487 00:24:41,200 --> 00:24:43,080 Speaker 3: to be huge. And what is that going to do 488 00:24:43,520 --> 00:24:46,399 Speaker 3: to overall cargo range? Remember, one of our things is 489 00:24:46,480 --> 00:24:51,680 Speaker 3: We're trying to maintain a cost effective cargo system, and 490 00:24:52,119 --> 00:24:53,399 Speaker 3: boyd when do we get crushed? 491 00:24:54,160 --> 00:24:57,960 Speaker 4: Speaking of effective cargo systems, a huge chunk of Alaska's 492 00:24:58,000 --> 00:25:01,040 Speaker 4: imports go through the port, as we've been discussing, but 493 00:25:01,320 --> 00:25:03,960 Speaker 4: it is not the only logistics hub in town. 494 00:25:05,560 --> 00:25:10,600 Speaker 7: Right. 495 00:25:10,760 --> 00:25:12,880 Speaker 1: To get a complete picture, we've got to check out 496 00:25:12,880 --> 00:25:15,240 Speaker 1: the airport, which is exactly where Mary is heading. 497 00:25:15,280 --> 00:25:15,560 Speaker 8: Next. 498 00:25:16,480 --> 00:25:18,919 Speaker 6: I'm sort of plane like that cost three million. 499 00:25:19,160 --> 00:25:22,240 Speaker 3: Yeah, that's you lightly used. 500 00:25:25,080 --> 00:25:26,800 Speaker 9: We have we have a we have a handful of those. 501 00:25:26,880 --> 00:25:29,720 Speaker 11: Yuh what are the planes to go out? 502 00:25:30,720 --> 00:25:35,520 Speaker 8: I'm Susan Alton, the Alaska International air of course system controller, 503 00:25:36,200 --> 00:25:38,840 Speaker 8: and we're all glad to have you here today to 504 00:25:39,000 --> 00:25:44,080 Speaker 8: show off our system. Uh so I'll go ahead and 505 00:25:44,320 --> 00:25:48,399 Speaker 8: get Okay, So what is the Alaska International Airport System 506 00:25:48,480 --> 00:25:51,720 Speaker 8: also known as ai a S. It is made up 507 00:25:51,760 --> 00:25:56,320 Speaker 8: of Ted Stevens Anchorage International Airport, which is the largest 508 00:25:56,320 --> 00:25:59,760 Speaker 8: passenger airport in the state of Alaska. It's also the 509 00:25:59,800 --> 00:26:03,000 Speaker 8: four our busiest cargo airport in the world and the 510 00:26:03,080 --> 00:26:07,399 Speaker 8: second busiest in the United States. Anchorage is impact is 511 00:26:07,440 --> 00:26:11,120 Speaker 8: the largest airport in Alaska. Passenger activity for fiscal year 512 00:26:11,160 --> 00:26:14,520 Speaker 8: twenty five and that's four point excuse me, five point 513 00:26:14,680 --> 00:26:19,720 Speaker 8: four million passengers served air cargo for twenty twenty five. 514 00:26:20,160 --> 00:26:24,760 Speaker 8: We had three point seven million tons for twenty twenty five. 515 00:26:25,400 --> 00:26:27,639 Speaker 8: And again, as I said, we're number two in the 516 00:26:27,760 --> 00:26:30,919 Speaker 8: USA and number four in the world with regards to cargo. 517 00:26:32,280 --> 00:26:35,719 Speaker 8: We support one in seven jobs in the Anchorage area 518 00:26:36,080 --> 00:26:40,080 Speaker 8: and provide one point eight billion in annual economic impact 519 00:26:40,160 --> 00:26:43,199 Speaker 8: to the state. And you can see on the screen 520 00:26:43,320 --> 00:26:47,840 Speaker 8: about the direct jobs and wages impact versus the indirect 521 00:26:47,840 --> 00:26:53,760 Speaker 8: and induced jobs and wages. So we're pretty significant economic 522 00:26:53,840 --> 00:26:55,960 Speaker 8: mood for the state of Alaska. 523 00:26:56,040 --> 00:26:58,919 Speaker 1: Air Transport is huge for Alaska, and the Anchorage Airport 524 00:26:58,960 --> 00:27:01,440 Speaker 1: basically acts like a truck stop for the whole state 525 00:27:01,480 --> 00:27:05,240 Speaker 1: and really global trade. Fully loaded cargo planes moving stuff 526 00:27:05,240 --> 00:27:08,160 Speaker 1: from Asia, the Mid East, parts of Europe will stop 527 00:27:08,200 --> 00:27:10,000 Speaker 1: here to refuel on their way to the rest of 528 00:27:10,000 --> 00:27:13,439 Speaker 1: North America. And for Alaskans it's the main depot for 529 00:27:13,520 --> 00:27:15,800 Speaker 1: most of the goods they order from elsewhere, which are 530 00:27:15,840 --> 00:27:18,920 Speaker 1: sorted in the huge FedEx and UPS hangars before being 531 00:27:18,960 --> 00:27:20,120 Speaker 1: distributed throughout the state. 532 00:27:20,520 --> 00:27:23,360 Speaker 4: It's also a commuter hub. Many of the oil workers 533 00:27:23,359 --> 00:27:25,560 Speaker 4: on the North Slope work in two week on two 534 00:27:25,600 --> 00:27:28,359 Speaker 4: week off shifts, they catch a small plane up to 535 00:27:28,440 --> 00:27:30,960 Speaker 4: the fields where they live in company housing while on 536 00:27:31,040 --> 00:27:33,359 Speaker 4: the job, and then they return to their families and 537 00:27:33,440 --> 00:27:35,040 Speaker 4: hometown for the rest of the month. 538 00:27:36,640 --> 00:27:39,000 Speaker 10: It's effectively use that as a suburb. 539 00:27:42,119 --> 00:27:45,720 Speaker 12: Yeah, so this is the iconical Philips you come from 540 00:27:45,760 --> 00:27:48,600 Speaker 12: the airplane that's going up too. So if you're a slopeworker, 541 00:27:52,200 --> 00:27:54,879 Speaker 12: I have a nice Alaska lifestyle over there, pop on 542 00:27:54,920 --> 00:27:59,320 Speaker 12: a grand at the door, you walk over the next terminal, 543 00:27:59,520 --> 00:27:59,960 Speaker 12: get on your. 544 00:28:00,640 --> 00:28:04,320 Speaker 4: Like the rest of the country, housing is a major issue, 545 00:28:04,640 --> 00:28:08,320 Speaker 4: even in a state with say it with me, Joe twice, 546 00:28:08,400 --> 00:28:09,960 Speaker 4: the land of Texas. 547 00:28:10,320 --> 00:28:13,400 Speaker 1: Yeah, as we've seen over and over, Alaska faces all 548 00:28:13,480 --> 00:28:15,560 Speaker 1: the issues that the rest of the US does, only 549 00:28:15,600 --> 00:28:17,760 Speaker 1: at least right now more acutely. 550 00:28:17,520 --> 00:28:19,840 Speaker 6: There's a variety of other things going on. And if 551 00:28:19,840 --> 00:28:23,480 Speaker 6: you're already your infrastructure is already a little vulnerable, then 552 00:28:23,240 --> 00:28:26,280 Speaker 6: you can imagine any shock we get into the United States. 553 00:28:26,320 --> 00:28:28,680 Speaker 6: Just in that, I mean, sorry to the United States. 554 00:28:28,800 --> 00:28:29,800 Speaker 6: You get it amplified. 555 00:28:30,000 --> 00:28:31,680 Speaker 3: Yeah, no, that's absolutely true. 556 00:28:31,680 --> 00:28:35,320 Speaker 6: And she's treating indicator which helps me make good decisions. 557 00:28:35,359 --> 00:28:36,280 Speaker 6: When I talk to all of you. 558 00:28:41,000 --> 00:28:43,880 Speaker 1: Mary is going straight from the airport to the airport, 559 00:28:43,920 --> 00:28:46,080 Speaker 1: I guess she's flying to the lower forty eight. And 560 00:28:46,080 --> 00:28:48,560 Speaker 1: there's obviously a lot of possible takeaways from the trip. 561 00:28:49,080 --> 00:28:52,120 Speaker 6: The cost structure of Alaska was something I think we 562 00:28:52,280 --> 00:28:54,840 Speaker 6: learned the most about today, just why are the prices 563 00:28:54,880 --> 00:28:57,680 Speaker 6: so much higher? And where would you ever try to 564 00:28:57,720 --> 00:29:00,320 Speaker 6: mitigate that? And of course the things that are going 565 00:29:00,320 --> 00:29:04,719 Speaker 6: on like inflation or just changes in how goods are 566 00:29:04,760 --> 00:29:08,480 Speaker 6: shipped or supply chain challenges, they're just magnified in Alaska, 567 00:29:08,640 --> 00:29:11,440 Speaker 6: and I think we also learned, you know, I learned 568 00:29:11,440 --> 00:29:14,480 Speaker 6: that they happen here first. It really is sort of 569 00:29:14,480 --> 00:29:16,920 Speaker 6: this canary in the coal mine almost that when you 570 00:29:16,960 --> 00:29:19,280 Speaker 6: see it here, you know it's coming elsewhere. It's going 571 00:29:19,320 --> 00:29:21,680 Speaker 6: to be lower in all likelihood because there's other ways 572 00:29:21,720 --> 00:29:24,280 Speaker 6: to ensure yourselves, but you're going to see it. 573 00:29:24,760 --> 00:29:27,280 Speaker 4: We don't know exactly what was discussed at the FED 574 00:29:27,320 --> 00:29:30,640 Speaker 4: September meeting, or at least we don't know until the 575 00:29:30,680 --> 00:29:34,640 Speaker 4: transcript is published in like twenty thirty, but I think 576 00:29:34,680 --> 00:29:37,120 Speaker 4: you can get a good sense of what a trip 577 00:29:37,240 --> 00:29:40,760 Speaker 4: like this actually adds to the conversation. When FED governors 578 00:29:40,800 --> 00:29:43,120 Speaker 4: are all sitting around the table trying to figure out 579 00:29:43,160 --> 00:29:43,960 Speaker 4: what to do next. 580 00:29:44,520 --> 00:29:46,880 Speaker 6: So one of the things that is challenging right now 581 00:29:47,240 --> 00:29:49,320 Speaker 6: was challenging back in the days where we're trying to 582 00:29:49,360 --> 00:29:52,680 Speaker 6: fight high inflation, and it's definitely challenging today when you're 583 00:29:52,680 --> 00:29:55,880 Speaker 6: trying to figure out the real impact of tariffs not 584 00:29:55,920 --> 00:30:01,840 Speaker 6: only on growth but on inflation. As just wanting unpacking 585 00:30:01,880 --> 00:30:05,200 Speaker 6: what's happening in Alaska and knowing at whatever point how 586 00:30:05,240 --> 00:30:07,840 Speaker 6: long this is going to take. Because of the non 587 00:30:07,880 --> 00:30:11,560 Speaker 6: fungibility of steel, the interoperability of some of the supply 588 00:30:11,680 --> 00:30:15,480 Speaker 6: chain networks, all of those things give me insights that 589 00:30:15,520 --> 00:30:17,720 Speaker 6: I can then take back to the meeting, and then 590 00:30:17,760 --> 00:30:20,320 Speaker 6: it's not just us exchanging forecast. I think they're going 591 00:30:20,400 --> 00:30:21,720 Speaker 6: to be like this long. I think they're going to 592 00:30:21,760 --> 00:30:25,760 Speaker 6: take this long. It provides evidence underlying evidence that you 593 00:30:25,800 --> 00:30:29,800 Speaker 6: can't find in your statistics because the statistics the statistics, 594 00:30:29,840 --> 00:30:32,560 Speaker 6: we just don't know. All we're doing is projecting, But 595 00:30:32,640 --> 00:30:35,680 Speaker 6: now we have our projections filled out by data and information, 596 00:30:36,040 --> 00:30:38,400 Speaker 6: and that makes a huge difference when you're trying to 597 00:30:38,400 --> 00:30:46,200 Speaker 6: make good policy. 598 00:30:51,720 --> 00:30:54,480 Speaker 1: That's it for our special Alaska episode. We hope you 599 00:30:54,560 --> 00:30:58,680 Speaker 1: enjoyed tagging along with us and Mary on the Anchorage expedition. 600 00:30:58,720 --> 00:31:00,000 Speaker 4: Joe, what stuck out to you? 601 00:31:00,920 --> 00:31:04,440 Speaker 1: So many things stuck out to me from that trip, 602 00:31:04,640 --> 00:31:08,120 Speaker 1: you know, like being in Alaska, it really did feel 603 00:31:08,160 --> 00:31:10,000 Speaker 1: like the end of the world, didn't it, Like the 604 00:31:10,120 --> 00:31:10,800 Speaker 1: edge of the Empire. 605 00:31:11,000 --> 00:31:12,840 Speaker 4: Yeah, it definitely felt frontier. 606 00:31:13,040 --> 00:31:16,040 Speaker 1: Like for sure, I've been in rural areas before, even 607 00:31:16,080 --> 00:31:19,240 Speaker 1: more rural obviously than an urban area like Anchorage, but 608 00:31:19,240 --> 00:31:22,200 Speaker 1: I've never just felt distant like I did in Alaska, 609 00:31:22,240 --> 00:31:25,240 Speaker 1: and so it's very easy to understand why it's a 610 00:31:25,240 --> 00:31:28,760 Speaker 1: state permanently in a state of sort of supply chain stress. 611 00:31:28,920 --> 00:31:31,160 Speaker 4: Yeah, that's what really stood out to me as well, 612 00:31:31,240 --> 00:31:33,960 Speaker 4: because when you go to a place like Anchorage, I 613 00:31:34,000 --> 00:31:37,800 Speaker 4: mean there are a lot of the same restaurants and 614 00:31:37,920 --> 00:31:40,400 Speaker 4: chain stores that you would see in any other place 615 00:31:40,440 --> 00:31:44,040 Speaker 4: in America. The difference is all that stuff has to 616 00:31:44,080 --> 00:31:46,960 Speaker 4: be transported thousands and thousands of miles to get there. 617 00:31:47,440 --> 00:31:47,680 Speaker 6: Yeah. 618 00:31:47,800 --> 00:31:51,680 Speaker 1: No, it's a constant strain, just extraordinary. You know, I 619 00:31:51,760 --> 00:31:55,160 Speaker 1: knew these things about how far flong everything was, but 620 00:31:55,200 --> 00:31:58,000 Speaker 1: then say, going to the airport and seeing how small 621 00:31:58,040 --> 00:32:01,440 Speaker 1: planes serve the just sort of worker commuter system was 622 00:32:01,440 --> 00:32:03,920 Speaker 1: really eye opening. Or just the sheer number of people 623 00:32:03,920 --> 00:32:08,440 Speaker 1: who own planes themselves. Yeah, like they have these pontoon 624 00:32:08,480 --> 00:32:11,080 Speaker 1: planes in the water that in another state would be 625 00:32:11,200 --> 00:32:13,800 Speaker 1: how people would have their boats in the marina. Except Alaska. 626 00:32:13,880 --> 00:32:17,960 Speaker 1: Its plans like, it's just it's permanently it's permanently stretched. 627 00:32:18,320 --> 00:32:21,280 Speaker 4: Do you think we could go to Hawaii next? That's 628 00:32:21,280 --> 00:32:22,640 Speaker 4: in the twelfth district. 629 00:32:22,320 --> 00:32:23,560 Speaker 10: Right, Let's do it. 630 00:32:23,600 --> 00:32:24,000 Speaker 7: I'm down. 631 00:32:24,160 --> 00:32:24,920 Speaker 4: Shall we leave it there? 632 00:32:25,000 --> 00:32:25,760 Speaker 1: Let's leave it there. 633 00:32:26,040 --> 00:32:28,600 Speaker 4: This has been another episode of the All Thoughts podcast. 634 00:32:28,720 --> 00:32:32,160 Speaker 4: I'm Tracy Alloway. You can follow me at Tracy Alloway. 635 00:32:31,880 --> 00:32:34,840 Speaker 1: And I'm Joe Wisenthal. You can follow me at the Stalwart. 636 00:32:35,040 --> 00:32:37,040 Speaker 1: Thank you to Mary Daily and everyone at the San 637 00:32:37,040 --> 00:32:40,120 Speaker 1: Francisco FED, including Jen Chamberlain, for letting us come along 638 00:32:40,120 --> 00:32:42,600 Speaker 1: on their fact finding journey. Thank you also to the 639 00:32:42,600 --> 00:32:46,160 Speaker 1: Port of Alaska, the Alaska International Airport System, and Northern 640 00:32:46,200 --> 00:32:48,640 Speaker 1: Solutions for the tour of their facilities. Thank you to 641 00:32:48,720 --> 00:32:52,240 Speaker 1: Ashley Ebnett of the Anchorage Economic Development Corporation, And a 642 00:32:52,240 --> 00:32:54,440 Speaker 1: final thank you to all the Alaskans who took the 643 00:32:54,480 --> 00:32:56,800 Speaker 1: time to talk to us about their state. Everyone was 644 00:32:56,800 --> 00:32:59,719 Speaker 1: so friendly and don't forget scrappy. You can follow our 645 00:32:59,720 --> 00:33:03,160 Speaker 1: Purdue users Carmen Rodriguez at Carmen armand Dashel Bennett at 646 00:33:03,240 --> 00:33:06,600 Speaker 1: dashbot and kill Brooks at Kilbrooks. From our odd Loots content, 647 00:33:06,640 --> 00:33:08,880 Speaker 1: go to Bloomberg dot com slash odd Lots. We have 648 00:33:08,880 --> 00:33:11,560 Speaker 1: a daily newsletter and all of our episodes, and you 649 00:33:11,560 --> 00:33:13,680 Speaker 1: can chat about all of these topics twenty four seven 650 00:33:13,760 --> 00:33:16,920 Speaker 1: in our discord discord dot gg slash. 651 00:33:16,560 --> 00:33:19,440 Speaker 4: Od lots And if you enjoy Oudlots, if you like 652 00:33:19,520 --> 00:33:21,880 Speaker 4: it when we go to far flung places, then please 653 00:33:21,960 --> 00:33:25,000 Speaker 4: leave us a positive review on your favorite podcast platform. 654 00:33:25,240 --> 00:33:28,200 Speaker 4: And remember, if you are a Bloomberg subscriber, you can 655 00:33:28,240 --> 00:33:31,600 Speaker 4: listen to all of our episodes absolutely ad free. All 656 00:33:31,640 --> 00:33:33,600 Speaker 4: you need to do is find the Bloomberg channel on 657 00:33:33,680 --> 00:33:37,400 Speaker 4: Apple Podcasts and follow the instructions there. Thanks for listening, 658 00:34:01,800 --> 00:34:03,000 Speaker 4: Stood in a