1 00:00:00,120 --> 00:00:04,160 Speaker 1: Hello, Odlots listeners producer Carmen here. This episode was recorded 2 00:00:04,200 --> 00:00:07,680 Speaker 1: on October twelfth at the screen Time Conference in California, 3 00:00:07,800 --> 00:00:11,320 Speaker 1: and before that UAW reached a tentative agreement with Ford 4 00:00:11,400 --> 00:00:13,440 Speaker 1: to end their strike. Thanks for listening. 5 00:00:23,760 --> 00:00:27,320 Speaker 2: Hello, and welcome to another episode of the Odd Lots Podcast. 6 00:00:27,440 --> 00:00:29,680 Speaker 3: I'm Joe Wisenthal and I'm Tracy Alloway. 7 00:00:29,840 --> 00:00:32,880 Speaker 2: You are going to be listening to a special episode 8 00:00:32,920 --> 00:00:36,239 Speaker 2: of the Odd Lots Podcast that we recorded live at 9 00:00:36,240 --> 00:00:41,000 Speaker 2: the Bloomberg screen Time Conference in Los Angeles in early October. 10 00:00:41,240 --> 00:00:45,120 Speaker 4: That's right, Oddlots Takes Hollywood. We are speaking to one 11 00:00:45,159 --> 00:00:49,159 Speaker 4: of our favorites, Omeor Shereef of Inflation Insights, and we 12 00:00:49,200 --> 00:00:52,919 Speaker 4: are talking to him about the macro impact of some 13 00:00:52,960 --> 00:00:55,279 Speaker 4: of the recent strikes we've seen this summer from the 14 00:00:55,320 --> 00:00:58,560 Speaker 4: Screenwriters Guild, from the Actors Guild, as well as the 15 00:00:58,720 --> 00:01:00,680 Speaker 4: United Autoworkers. Take a listen. 16 00:01:01,320 --> 00:01:04,039 Speaker 2: Omaya is one of our favorite economists that we speak 17 00:01:04,080 --> 00:01:08,080 Speaker 2: to regularly on our podcast, where we typically cover like markets, finance, 18 00:01:08,120 --> 00:01:09,040 Speaker 2: and economic stuff. 19 00:01:09,120 --> 00:01:09,679 Speaker 3: That's right, and. 20 00:01:09,600 --> 00:01:12,399 Speaker 4: Today we're going to try to join the two worlds 21 00:01:12,440 --> 00:01:17,800 Speaker 4: of entertainment and Hollywood with more of the macroeconomic stuff 22 00:01:17,800 --> 00:01:19,759 Speaker 4: that we do on a day to day basis. 23 00:01:19,400 --> 00:01:22,319 Speaker 2: Right, So obviously one of the big macro stories here 24 00:01:22,920 --> 00:01:25,880 Speaker 2: is the ongoing strikes. We got the news last night 25 00:01:26,040 --> 00:01:28,840 Speaker 2: the actors are continuing the strikes despite the fact that 26 00:01:28,959 --> 00:01:30,880 Speaker 2: you know, maybe it was expected to wrap up sooner. 27 00:01:31,240 --> 00:01:33,960 Speaker 2: There's also more strike activity nationally. We also found out 28 00:01:34,040 --> 00:01:37,080 Speaker 2: yesterday Forward expanding its strikes. So we're going to try 29 00:01:37,080 --> 00:01:40,679 Speaker 2: to balance out the two stories. Talk about what we've 30 00:01:40,800 --> 00:01:44,399 Speaker 2: learned so far from the economic impact here locally in 31 00:01:44,720 --> 00:01:47,039 Speaker 2: LA and southern California, and what that might say for 32 00:01:47,080 --> 00:01:47,800 Speaker 2: the rest of the country. 33 00:01:47,880 --> 00:01:48,680 Speaker 3: Yeah, let's do it. 34 00:01:48,720 --> 00:01:51,120 Speaker 2: Right, Omere, thank you so much for coming here and 35 00:01:51,160 --> 00:01:52,680 Speaker 2: making the time and chatting with us. 36 00:01:52,760 --> 00:01:54,480 Speaker 5: Yeah. Nice to be back again. So let's just. 37 00:01:54,480 --> 00:01:57,280 Speaker 2: Start with like a basic question, which is, you know, 38 00:01:57,320 --> 00:01:59,200 Speaker 2: the two strikes one just wrapped up. 39 00:01:59,600 --> 00:02:01,520 Speaker 5: Is it going up yet in economic data? 40 00:02:01,720 --> 00:02:04,080 Speaker 6: Yeah, so, I mean, we have some national reports we 41 00:02:04,120 --> 00:02:06,880 Speaker 6: can look at that show some of the impact of 42 00:02:07,320 --> 00:02:09,800 Speaker 6: at least the writer's strike. There's some data out there 43 00:02:09,880 --> 00:02:13,280 Speaker 6: right now in terms of work stoppages. So any strike 44 00:02:13,320 --> 00:02:15,920 Speaker 6: that's more than a thousand people gets recorded by the government, 45 00:02:16,520 --> 00:02:18,640 Speaker 6: and some of that data started to show that about 46 00:02:18,680 --> 00:02:22,240 Speaker 6: eleven thousan five hundred writers were on strike beginning in 47 00:02:22,280 --> 00:02:24,560 Speaker 6: the June number. So we have seen it over the months, 48 00:02:24,880 --> 00:02:26,639 Speaker 6: and we've now started to see that impact in the 49 00:02:26,680 --> 00:02:29,760 Speaker 6: same Work Stoppages report, for example, showing one hundred and 50 00:02:29,760 --> 00:02:32,280 Speaker 6: sixty thousand actors on strike as well, and of course 51 00:02:32,320 --> 00:02:34,640 Speaker 6: it records a whole lot of other strikes as well, 52 00:02:34,720 --> 00:02:37,040 Speaker 6: so that's probably the main place where we see it. 53 00:02:37,200 --> 00:02:39,840 Speaker 6: We haven't really seen it quite as much in terms 54 00:02:39,919 --> 00:02:43,920 Speaker 6: of unemployment just yet, and there's a few reasons for that. 55 00:02:44,080 --> 00:02:46,200 Speaker 6: I mean, you can imagine, especially with the actors strike. 56 00:02:46,360 --> 00:02:49,079 Speaker 6: You know, actors also tend to work other jobs, right, 57 00:02:49,120 --> 00:02:52,440 Speaker 6: There's very few full time actors, and so if they're 58 00:02:52,440 --> 00:02:54,480 Speaker 6: working other jobs and they're making money, they won't be 59 00:02:54,520 --> 00:02:57,160 Speaker 6: counted as unemployed. And in fact, in one of the surveys, 60 00:02:57,160 --> 00:02:59,799 Speaker 6: the Household Survey, depending on how you answer the question 61 00:02:59,800 --> 00:03:01,799 Speaker 6: of out you know, whether you have a job, where 62 00:03:01,840 --> 00:03:05,600 Speaker 6: you at your job, are you available to work? There's 63 00:03:05,600 --> 00:03:07,239 Speaker 6: sort of a list of questions you have to answer 64 00:03:07,320 --> 00:03:09,880 Speaker 6: and in order to be counted as unemployed, you sort 65 00:03:09,919 --> 00:03:12,840 Speaker 6: of have to hit all three of these questions perfectly. 66 00:03:13,240 --> 00:03:16,120 Speaker 6: So unless people answer it in a certain manner, they 67 00:03:16,160 --> 00:03:19,560 Speaker 6: will not be counted as being unemployed. The one area 68 00:03:19,800 --> 00:03:21,760 Speaker 6: also within the household survey where you do see the 69 00:03:21,760 --> 00:03:24,280 Speaker 6: impact is, you know, the number of people who have 70 00:03:24,400 --> 00:03:26,000 Speaker 6: a job but who are not. 71 00:03:26,040 --> 00:03:28,040 Speaker 5: At work due to a labor dispute. 72 00:03:28,160 --> 00:03:30,799 Speaker 6: So that is a very very specific category that they 73 00:03:30,840 --> 00:03:32,959 Speaker 6: do capture in the BLS, and that is starting to 74 00:03:32,960 --> 00:03:35,240 Speaker 6: show some of the impact right now. But you know, 75 00:03:35,280 --> 00:03:38,200 Speaker 6: more broadly, we haven't really seen a big increase, for example, 76 00:03:38,200 --> 00:03:41,160 Speaker 6: in jobless claims. We haven't seen a huge move higher 77 00:03:41,960 --> 00:03:45,000 Speaker 6: in the unemployment rate data itself, whether that's nationally or 78 00:03:45,000 --> 00:03:47,840 Speaker 6: even really within LA or California. 79 00:03:48,000 --> 00:03:50,960 Speaker 4: Wait, can I ask a very basic question, Maybe it's 80 00:03:50,960 --> 00:03:53,880 Speaker 4: a stupid question, but what does the literature tell us 81 00:03:53,880 --> 00:03:58,160 Speaker 4: about whether strike action is inflationary or deflationary? Because I 82 00:03:58,200 --> 00:04:01,400 Speaker 4: could see you you could possibly argue it both ways. 83 00:04:01,440 --> 00:04:05,920 Speaker 4: So if it impacts output, then maybe prices go up 84 00:04:05,960 --> 00:04:09,320 Speaker 4: because supply of a given thing is in shortage. And 85 00:04:09,400 --> 00:04:12,680 Speaker 4: of course if it's successful, then presumably wages for some 86 00:04:12,800 --> 00:04:16,520 Speaker 4: workers go up. But on the other hand, if things 87 00:04:16,560 --> 00:04:19,120 Speaker 4: aren't getting done, if things aren't getting made, then you 88 00:04:19,160 --> 00:04:21,960 Speaker 4: would assume that's a hit to economic activity. Maybe people 89 00:04:21,960 --> 00:04:24,920 Speaker 4: aren't getting paid, so maybe it's deflationary in that way. 90 00:04:25,279 --> 00:04:25,479 Speaker 5: Yeah. 91 00:04:25,520 --> 00:04:27,799 Speaker 6: So one of the interesting things about the strike activity 92 00:04:27,880 --> 00:04:32,440 Speaker 6: is it typically tends to follow inflationary periods. So it's 93 00:04:32,480 --> 00:04:35,719 Speaker 6: not that you know, the strike itself isn't causing prices 94 00:04:35,760 --> 00:04:38,719 Speaker 6: to move higher. It's that there may have been shocks 95 00:04:38,760 --> 00:04:41,040 Speaker 6: like so for example, the well shock now the last 96 00:04:41,080 --> 00:04:44,920 Speaker 6: couple of years with COVID that cause prices to shoot up, 97 00:04:45,240 --> 00:04:48,080 Speaker 6: workers fall behind, and then eventually that leads to more 98 00:04:48,080 --> 00:04:50,320 Speaker 6: and more strike activity. So that's the first thing I 99 00:04:50,320 --> 00:04:53,719 Speaker 6: would say that it really tends to follow big price increases. 100 00:04:54,320 --> 00:04:55,760 Speaker 5: The question of whether then eventually the. 101 00:04:56,240 --> 00:04:59,920 Speaker 6: Pay raises you get afterwards, you know, typically you don't 102 00:05:00,279 --> 00:05:02,080 Speaker 6: that as much in the inflation data. I think this 103 00:05:02,160 --> 00:05:05,120 Speaker 6: time certainly could be different, given you know, we've got 104 00:05:05,160 --> 00:05:08,080 Speaker 6: strikes on multiple fronts, and I think the auto sector 105 00:05:08,120 --> 00:05:10,680 Speaker 6: is the most obvious answer. But that's partly because we're 106 00:05:10,720 --> 00:05:12,920 Speaker 6: still recovering from a lot of the supply chain issues 107 00:05:12,920 --> 00:05:14,200 Speaker 6: that you know, you guys have talked about on the 108 00:05:14,200 --> 00:05:16,719 Speaker 6: show many many times. So when you think about autos, 109 00:05:16,720 --> 00:05:19,480 Speaker 6: for example, you know, auto production is only just in 110 00:05:19,480 --> 00:05:21,240 Speaker 6: the last six seven months gotten back to where it 111 00:05:21,400 --> 00:05:23,320 Speaker 6: used to be before COVID. So to get a hit 112 00:05:23,440 --> 00:05:26,320 Speaker 6: now to production is potentially someplace where you could see 113 00:05:26,360 --> 00:05:29,279 Speaker 6: inflation pop up for new cars, for used cars, and 114 00:05:29,360 --> 00:05:31,320 Speaker 6: other places, but typically you don't see as much of 115 00:05:31,320 --> 00:05:34,080 Speaker 6: that happen post the resolution of the strike. 116 00:05:34,279 --> 00:05:37,560 Speaker 4: Right, Okay, well on this note, you know, I realized 117 00:05:37,560 --> 00:05:40,400 Speaker 4: we are at an industry conference, so I won't ask 118 00:05:40,440 --> 00:05:44,039 Speaker 4: you to opine on whether or not the writers and 119 00:05:44,080 --> 00:05:48,200 Speaker 4: the actors' strikes are justified, but walk us through what 120 00:05:48,279 --> 00:05:52,320 Speaker 4: the actual data tells us about wages for this particular 121 00:05:52,560 --> 00:05:54,280 Speaker 4: sub sector of worker. 122 00:05:54,680 --> 00:05:56,520 Speaker 6: When I started digging into this, I was actually very 123 00:05:56,600 --> 00:05:59,599 Speaker 6: surprised to find out some of these numbers. And I 124 00:05:59,600 --> 00:06:01,599 Speaker 6: think in because when you know, I remember hearing about 125 00:06:01,640 --> 00:06:04,240 Speaker 6: the actors strike initially, and I just remember thinking, well, 126 00:06:04,240 --> 00:06:05,560 Speaker 6: you know what, I think, Tom Cruise is gonna be 127 00:06:05,600 --> 00:06:08,080 Speaker 6: fine about a few months of pay, right, But what 128 00:06:08,120 --> 00:06:09,800 Speaker 6: you generally don't tend to think about is all the 129 00:06:09,839 --> 00:06:13,320 Speaker 6: other thousands upon thousands of actors who are not you know, 130 00:06:13,320 --> 00:06:15,000 Speaker 6: the A list, celebrities who are in the magazines and 131 00:06:15,000 --> 00:06:17,359 Speaker 6: so on. And so I started to look through the 132 00:06:17,400 --> 00:06:19,280 Speaker 6: wage datum, and I said, you know how much do 133 00:06:19,400 --> 00:06:21,760 Speaker 6: actors actually make. So, for those of you who can 134 00:06:21,760 --> 00:06:24,080 Speaker 6: see this chart, the top chart is just showing you 135 00:06:24,360 --> 00:06:26,839 Speaker 6: a very specific industry, right, So this is the motion 136 00:06:26,920 --> 00:06:30,320 Speaker 6: picture and video industry. This is where you'll find actors, 137 00:06:30,360 --> 00:06:32,600 Speaker 6: but also everything from you know, folks who work in 138 00:06:32,680 --> 00:06:34,280 Speaker 6: lighting to editing and so on. 139 00:06:34,640 --> 00:06:37,840 Speaker 2: And actors are way down there, way down that lawyers are. 140 00:06:37,960 --> 00:06:38,479 Speaker 5: They are. 141 00:06:39,160 --> 00:06:43,320 Speaker 6: Yeah, they're just below data entry and amusement park workers 142 00:06:43,360 --> 00:06:45,280 Speaker 6: and so on. And they make about and you know, 143 00:06:45,320 --> 00:06:48,159 Speaker 6: sixteen dollars and seventy cents, and that's the median. So 144 00:06:48,279 --> 00:06:50,560 Speaker 6: half of them make more than that, half make less 145 00:06:50,560 --> 00:06:53,240 Speaker 6: than that, but sixteen seventy is where they fit in. Yeah, 146 00:06:53,320 --> 00:06:54,800 Speaker 6: number one, you would not be surprised, you know, you're 147 00:06:54,800 --> 00:06:56,560 Speaker 6: not gonna be surprised, is lawyers. 148 00:06:56,520 --> 00:06:59,360 Speaker 5: In the motion picture industry. But actors are way down. 149 00:06:59,400 --> 00:07:02,440 Speaker 6: They're in the bottom twenty percent of all workers when 150 00:07:02,480 --> 00:07:06,320 Speaker 6: it comes to wages in the motion picture and video industry. 151 00:07:06,760 --> 00:07:08,560 Speaker 6: And you know, another chart I wanted to look at 152 00:07:08,600 --> 00:07:10,200 Speaker 6: was to say, okay, well, if this is the median, 153 00:07:11,160 --> 00:07:13,320 Speaker 6: how much do people at the bottom end make versus 154 00:07:13,360 --> 00:07:15,800 Speaker 6: the top end? And you know, the second chart down 155 00:07:15,800 --> 00:07:19,760 Speaker 6: there shows you actually the green bars of the US 156 00:07:19,800 --> 00:07:21,840 Speaker 6: as a whole, so all actors across the United States, 157 00:07:21,880 --> 00:07:24,640 Speaker 6: and the red is specifically for the LA Long Beach 158 00:07:24,960 --> 00:07:27,520 Speaker 6: Annaheim area, so that's a local look, and you can 159 00:07:27,560 --> 00:07:30,240 Speaker 6: see locally, the median is actually only about fifteen dollars 160 00:07:30,440 --> 00:07:34,080 Speaker 6: and seventy cents for the LA area, so below the 161 00:07:34,320 --> 00:07:36,840 Speaker 6: sixteen seventy we see for the industry as a whole. 162 00:07:37,120 --> 00:07:39,080 Speaker 6: But look at how little variation there is at the 163 00:07:39,080 --> 00:07:41,760 Speaker 6: bottom end, right like you, if you go towards the 164 00:07:41,800 --> 00:07:44,480 Speaker 6: bottom ten percent, you're still only at about fifteen dollars 165 00:07:44,560 --> 00:07:48,080 Speaker 6: and sixty cents, so only about a ten cent difference 166 00:07:48,080 --> 00:07:51,920 Speaker 6: between the bottom ten percent and the middle. Even at 167 00:07:51,920 --> 00:07:54,800 Speaker 6: the seventy fifth percentile, you only move up to about 168 00:07:55,120 --> 00:07:57,680 Speaker 6: sixteen dollars and seventy cents, only about a buck more 169 00:07:57,760 --> 00:07:58,240 Speaker 6: per hour. 170 00:07:59,360 --> 00:08:01,080 Speaker 5: Fast forwards to the ninetieth percent. 171 00:08:01,080 --> 00:08:03,360 Speaker 6: Tell now you're up into the seventies and for the 172 00:08:03,440 --> 00:08:04,880 Speaker 6: US as a whole, you up to over one hundred 173 00:08:04,880 --> 00:08:07,000 Speaker 6: and ten bucks. So you really you know, if you're 174 00:08:07,040 --> 00:08:10,160 Speaker 6: an actor, essentially, unless you are in that top ten percent, 175 00:08:10,200 --> 00:08:13,679 Speaker 6: and quite honestly probably that top one percent, your median 176 00:08:13,760 --> 00:08:16,400 Speaker 6: wage is probably going to be around that fifteen to 177 00:08:16,440 --> 00:08:19,320 Speaker 6: sixteen dollars range, whether that's a local number or whether 178 00:08:19,360 --> 00:08:20,960 Speaker 6: it's it's national for as a whole. 179 00:08:21,440 --> 00:08:23,720 Speaker 2: One of the reasons we love talking to Omer is 180 00:08:24,240 --> 00:08:25,560 Speaker 2: the level of data that he. 181 00:08:25,880 --> 00:08:27,520 Speaker 3: Becomes in clips with the numbers. 182 00:08:27,640 --> 00:08:31,720 Speaker 2: Tracy once wrote an amazing article about mayonnaise inflation and 183 00:08:31,800 --> 00:08:34,760 Speaker 2: omaar like, do all the different like categories within He's like, well, 184 00:08:34,760 --> 00:08:36,440 Speaker 2: you might want to look at like the fats and 185 00:08:36,520 --> 00:08:39,960 Speaker 2: oils section of the Producer Price Index and then the PCE. 186 00:08:40,559 --> 00:08:44,720 Speaker 2: It's you know, mayonnaise is captured here one of the things. 187 00:08:44,960 --> 00:08:48,079 Speaker 2: And you mentioned it that many actors have other jobs, 188 00:08:48,080 --> 00:08:50,400 Speaker 2: so even if they're striking, they're not necessarily going to 189 00:08:50,400 --> 00:08:55,480 Speaker 2: be counted as unemployed. And looking at these wages, I imagine 190 00:08:55,360 --> 00:08:57,840 Speaker 2: that these other jobs that they could pick up, service 191 00:08:57,880 --> 00:09:00,319 Speaker 2: industry jobs pay pretty close like they're take you a 192 00:09:00,360 --> 00:09:01,160 Speaker 2: big economic hit. 193 00:09:01,760 --> 00:09:02,400 Speaker 5: Yeah, that's right. 194 00:09:02,480 --> 00:09:05,400 Speaker 6: So you know, here I wanted to take a look 195 00:09:05,440 --> 00:09:08,720 Speaker 6: at some of these other areas where you would see, 196 00:09:08,800 --> 00:09:10,560 Speaker 6: you know, again, as I mentioned, very few actors are 197 00:09:10,600 --> 00:09:13,360 Speaker 6: full time actress, right, it's part time. You're taking other jobs, 198 00:09:13,800 --> 00:09:15,640 Speaker 6: and so I took a look at sort of some 199 00:09:15,679 --> 00:09:17,400 Speaker 6: of you know, just picked out randomly. Some of the 200 00:09:18,080 --> 00:09:22,320 Speaker 6: areas where you see actors tend to work, and so 201 00:09:22,600 --> 00:09:26,720 Speaker 6: you'll find places like you know, occupations like you know, bartender, servers, 202 00:09:27,360 --> 00:09:29,959 Speaker 6: real estate agents is a very popular one in La 203 00:09:30,000 --> 00:09:32,280 Speaker 6: at least, and so here you can see this is local. 204 00:09:32,320 --> 00:09:34,920 Speaker 6: These numbers are for local for LA County, and so 205 00:09:35,080 --> 00:09:38,080 Speaker 6: again the actors fifteen seventy an hour. Servers are about 206 00:09:38,120 --> 00:09:41,720 Speaker 6: fifteen dollars and fifteen cents an hour roughly, bartenders you 207 00:09:41,760 --> 00:09:44,120 Speaker 6: know a little bit above that, about fifteen thirty five, 208 00:09:45,120 --> 00:09:47,839 Speaker 6: substitute teachers twenty three bucks an hour, real estate agents 209 00:09:47,840 --> 00:09:51,160 Speaker 6: around thirty one dollars. So you know, that's why kind 210 00:09:51,200 --> 00:09:54,200 Speaker 6: of the medium is as low as it is, because 211 00:09:54,240 --> 00:09:57,840 Speaker 6: some of the other occupations here are you know, whether 212 00:09:57,880 --> 00:10:01,040 Speaker 6: it's bartending or working as at a resta, also tend 213 00:10:01,080 --> 00:10:04,640 Speaker 6: to be on that lower end of the overall spectrum. 214 00:10:04,679 --> 00:10:08,120 Speaker 6: So that's partly why you're seeing that number be so low. 215 00:10:08,160 --> 00:10:09,800 Speaker 6: But again, I think when you look at that distribution, 216 00:10:10,360 --> 00:10:13,000 Speaker 6: unless you are in that top ten percent, the bottom 217 00:10:13,120 --> 00:10:15,200 Speaker 6: ninety is is going to be about fifteen to sixteen 218 00:10:15,200 --> 00:10:18,000 Speaker 6: bucks an hour, which tells you just yea, how tough 219 00:10:18,000 --> 00:10:20,760 Speaker 6: it is to kind of make it in that industry 220 00:10:20,760 --> 00:10:22,559 Speaker 6: because there is not like if you're in the middle, 221 00:10:23,040 --> 00:10:25,000 Speaker 6: you're making fifteen twenty bucks more than if you were 222 00:10:25,000 --> 00:10:27,240 Speaker 6: at the bottom, and it's there's basically no difference. 223 00:10:27,240 --> 00:10:28,880 Speaker 2: There's the bottom in the top, and most people are 224 00:10:28,880 --> 00:10:29,320 Speaker 2: in the bottom. 225 00:10:29,400 --> 00:10:45,839 Speaker 7: Yes, that's my takeaway from your charge. 226 00:10:47,000 --> 00:10:49,320 Speaker 3: You knew I used to be a substitute teacher, right, Yes, 227 00:10:49,480 --> 00:10:51,480 Speaker 3: I was aware of this. Just were you also a 228 00:10:51,559 --> 00:10:52,240 Speaker 3: struggling actor? 229 00:10:52,360 --> 00:10:56,440 Speaker 2: I was actually kind of but no, just see I 230 00:10:56,720 --> 00:10:58,839 Speaker 2: give a shout out to the substitut teachers as a 231 00:10:59,280 --> 00:10:59,920 Speaker 2: former soaker. 232 00:11:00,240 --> 00:11:01,360 Speaker 3: Okay, fair enough. 233 00:11:01,920 --> 00:11:07,439 Speaker 4: So one thing, actually, going to Joe's point about mayonnaise 234 00:11:07,640 --> 00:11:10,000 Speaker 4: and all the different data sets that you can look up, 235 00:11:10,320 --> 00:11:13,400 Speaker 4: one of the things I learned about inflation statistics doing 236 00:11:13,440 --> 00:11:17,000 Speaker 4: that article was that there are these qualitative adjustments that 237 00:11:17,040 --> 00:11:20,880 Speaker 4: the Bureau of Labor Statistics does on these numbers where 238 00:11:20,920 --> 00:11:23,800 Speaker 4: they will look at probably not mayonnaise, but they'll look 239 00:11:23,800 --> 00:11:26,800 Speaker 4: at something like a refrigerator and say, well, a modern 240 00:11:26,840 --> 00:11:30,000 Speaker 4: refrigerator is so much better than a fridge from nineteen 241 00:11:30,040 --> 00:11:32,400 Speaker 4: eighty five that can do so many more things, and 242 00:11:32,440 --> 00:11:36,040 Speaker 4: so we have to adjust the inflation calculation. I always wondered, 243 00:11:36,480 --> 00:11:41,120 Speaker 4: for something like movies or TV, can they do the 244 00:11:41,200 --> 00:11:44,560 Speaker 4: same type of qualitative adjustment? How would you actually measure that? 245 00:11:45,000 --> 00:11:47,800 Speaker 6: Yeah, to the best of my knowledge, they don't do anything. 246 00:11:48,600 --> 00:11:51,400 Speaker 6: Services in general tend to be very, very difficult to 247 00:11:51,760 --> 00:11:55,200 Speaker 6: quality adjust you know. Some exceptions can be things like 248 00:11:56,040 --> 00:11:58,640 Speaker 6: your cell phone service, where you know your wireless plan, 249 00:11:59,400 --> 00:12:01,920 Speaker 6: you get a certain amount of data through it. If 250 00:12:01,960 --> 00:12:04,640 Speaker 6: that data increases or decreases, they can sort of measure 251 00:12:04,679 --> 00:12:08,640 Speaker 6: what that would quote unquote cost. For movies, though I 252 00:12:08,640 --> 00:12:10,920 Speaker 6: think it's it's as far as I know, they don't 253 00:12:10,920 --> 00:12:14,400 Speaker 6: do anything with that, And in general, services activities are 254 00:12:14,520 --> 00:12:16,880 Speaker 6: are very tough to do, so they really try to 255 00:12:16,880 --> 00:12:22,520 Speaker 6: stick with with goods as you mentioned, like you know, televisions, refrigerators, cars. 256 00:12:23,720 --> 00:12:25,559 Speaker 6: You know, the new model your car comes out, it's 257 00:12:25,559 --> 00:12:28,160 Speaker 6: got more bells and whistles, and the last one. They 258 00:12:28,200 --> 00:12:31,480 Speaker 6: can look at how much the manufacturers spent on adding 259 00:12:31,960 --> 00:12:34,480 Speaker 6: you know, better technology to that vehicle and sort of 260 00:12:34,520 --> 00:12:36,880 Speaker 6: remove that from the price to say, hey, this is 261 00:12:36,880 --> 00:12:40,760 Speaker 6: the quality adjustment services though it is it's very difficult 262 00:12:40,800 --> 00:12:40,960 Speaker 6: to do. 263 00:12:41,200 --> 00:12:43,880 Speaker 4: Okay, So the BLS isn't watching all the new movies 264 00:12:43,920 --> 00:12:46,600 Speaker 4: and going wow, these special effects are so much better. 265 00:12:46,679 --> 00:12:49,360 Speaker 3: We need to adjust our inflation methody. 266 00:12:49,440 --> 00:12:50,800 Speaker 6: No, it's a good question. I will ask them when 267 00:12:50,800 --> 00:12:52,360 Speaker 6: I get back to work tomorrow. 268 00:12:52,440 --> 00:12:55,080 Speaker 2: But it's just the other thing we've learned, by the way, 269 00:12:55,200 --> 00:12:57,440 Speaker 2: is that the BLSA is great. They'll just you could 270 00:12:57,440 --> 00:12:59,360 Speaker 2: call them up and just ask a question about the 271 00:12:59,360 --> 00:12:59,959 Speaker 2: economic data. 272 00:13:00,040 --> 00:13:01,960 Speaker 5: They'll walking through. They're happy to chat about it all 273 00:13:01,960 --> 00:13:03,360 Speaker 5: the time. You mentioned. 274 00:13:03,400 --> 00:13:06,720 Speaker 2: Okay, so unemployment not really showing up in the data. 275 00:13:06,800 --> 00:13:09,960 Speaker 2: Are there any other sort of like statistics in the 276 00:13:10,000 --> 00:13:13,400 Speaker 2: regional economy where you can see some effect from work 277 00:13:13,400 --> 00:13:16,040 Speaker 2: stoppages or certain types of sectors. I mean, I have 278 00:13:16,120 --> 00:13:21,320 Speaker 2: to imagine, you know, obviously the not shooting effects more 279 00:13:21,360 --> 00:13:24,280 Speaker 2: than actors effects, makeup people, affects, other production people, are 280 00:13:24,240 --> 00:13:27,199 Speaker 2: other other areas or other data sets you can look 281 00:13:27,240 --> 00:13:30,040 Speaker 2: at to see how the strike is having an impact 282 00:13:30,120 --> 00:13:31,080 Speaker 2: or percolating up there. 283 00:13:31,200 --> 00:13:31,360 Speaker 5: Yeah. 284 00:13:31,400 --> 00:13:34,400 Speaker 6: So actually, you know, if you look at industry employment numbers, right, 285 00:13:34,440 --> 00:13:38,679 Speaker 6: so specifically here for California, and you can look at, 286 00:13:38,720 --> 00:13:41,560 Speaker 6: for example, sort of the film and TV industry, and 287 00:13:41,640 --> 00:13:44,040 Speaker 6: you can tack on also there's another industry that captures 288 00:13:44,679 --> 00:13:46,640 Speaker 6: independent writers and performers. 289 00:13:46,880 --> 00:13:48,480 Speaker 5: So if you kind of combine. 290 00:13:48,040 --> 00:13:50,640 Speaker 6: Those two big industries and say what's going on to 291 00:13:50,679 --> 00:13:55,040 Speaker 6: the job growth in those two sectors in California since April, 292 00:13:55,080 --> 00:13:57,960 Speaker 6: So the strike started early May, the writers strike at 293 00:13:58,000 --> 00:14:02,080 Speaker 6: least since April combined, the lost about seventeen thousand jobs, 294 00:14:02,120 --> 00:14:04,160 Speaker 6: and most of that has been in you know, the 295 00:14:04,160 --> 00:14:07,960 Speaker 6: motion picture industry, less so on the independent writer side, 296 00:14:07,960 --> 00:14:10,760 Speaker 6: but it is clear there that you're seeing some impact 297 00:14:10,760 --> 00:14:12,360 Speaker 6: in terms of layoffs that are happening. 298 00:14:12,679 --> 00:14:13,680 Speaker 5: So that's one area. 299 00:14:13,720 --> 00:14:16,480 Speaker 6: But the second area also is that activity in general 300 00:14:16,880 --> 00:14:20,520 Speaker 6: in the industry has been contracting probably for the last 301 00:14:20,560 --> 00:14:23,320 Speaker 6: year and a half. So you know, I'm not gonna 302 00:14:23,720 --> 00:14:26,680 Speaker 6: you know, you mentioned earlier about are the strikes justified 303 00:14:26,760 --> 00:14:28,480 Speaker 6: or not. I don't know if I want to go 304 00:14:28,520 --> 00:14:31,200 Speaker 6: down into that rabbit hole, but what I will say 305 00:14:31,280 --> 00:14:34,320 Speaker 6: is that in general, I really like the way Ellen Stetsman, 306 00:14:34,360 --> 00:14:37,400 Speaker 6: who is the chief negotiator for the Writer's Guild. You know, 307 00:14:37,400 --> 00:14:39,680 Speaker 6: their criticiding is the writers about striking at a time 308 00:14:39,720 --> 00:14:41,960 Speaker 6: when things are tough for the streaming services and so on, 309 00:14:42,240 --> 00:14:44,480 Speaker 6: and she said, look, our job is to ensure that 310 00:14:44,520 --> 00:14:48,680 Speaker 6: our guild members have good jobs and share in, you know, 311 00:14:48,960 --> 00:14:52,240 Speaker 6: the value that we create. As writers regardless of whatever 312 00:14:52,280 --> 00:14:53,760 Speaker 6: it is that the industry is doing and what the 313 00:14:53,760 --> 00:14:55,400 Speaker 6: industry has been doing in terms of film and TV 314 00:14:55,520 --> 00:14:57,440 Speaker 6: is and this you mentioned shoot days earlier, so this 315 00:14:57,480 --> 00:14:59,200 Speaker 6: is a good number to look at. From twenty fifteen 316 00:14:59,240 --> 00:15:02,640 Speaker 6: to twenty nineteen, before COVID hit, the average number of 317 00:15:02,640 --> 00:15:05,840 Speaker 6: shoot days in California every quarter was about nine five 318 00:15:05,880 --> 00:15:08,040 Speaker 6: hundred shoot days. So this is ever real quick question. 319 00:15:08,120 --> 00:15:12,080 Speaker 6: Who tracks the shoot Yeah, so this is a film LA. 320 00:15:12,160 --> 00:15:13,720 Speaker 6: You can you know, google them, you can find these 321 00:15:13,760 --> 00:15:16,680 Speaker 6: numbers are all available publicly, and so you if you 322 00:15:16,720 --> 00:15:18,240 Speaker 6: want to get a permit to shoot a commercial, a 323 00:15:18,280 --> 00:15:20,680 Speaker 6: TV show, whatever, you go through film LA so they 324 00:15:20,680 --> 00:15:23,400 Speaker 6: can track who's shooting, how often, you know, how many days. 325 00:15:23,280 --> 00:15:23,640 Speaker 4: And all that. 326 00:15:24,000 --> 00:15:26,840 Speaker 6: So typically, on average in a quarter prior to COVID, 327 00:15:26,880 --> 00:15:29,120 Speaker 6: it was about nine thousand, five hundred days. Obviously COVID 328 00:15:29,160 --> 00:15:31,480 Speaker 6: nothing happened, it went to zero, but by the middle 329 00:15:31,520 --> 00:15:33,480 Speaker 6: of twenty twenty one we were back to about ten 330 00:15:33,520 --> 00:15:36,840 Speaker 6: thousand days of shooting. Since the end of twenty twenty one, 331 00:15:36,880 --> 00:15:38,960 Speaker 6: so this is about the last five quarters before the 332 00:15:39,000 --> 00:15:42,680 Speaker 6: strike began. Shoot days of fall in every single quarter. 333 00:15:43,680 --> 00:15:46,800 Speaker 6: As of Q one of this year, shoot days were 334 00:15:46,960 --> 00:15:50,520 Speaker 6: twenty percent below the five year average from twenty fifteen 335 00:15:50,560 --> 00:15:54,200 Speaker 6: to twenty nineteen. So you know, even before the actress 336 00:15:54,200 --> 00:15:57,320 Speaker 6: strike started in July and the writer strikes started in May, 337 00:15:57,760 --> 00:16:00,600 Speaker 6: activity had been sort of on a pretty steady down 338 00:16:00,600 --> 00:16:03,280 Speaker 6: trend for almost you know, just over a year really, 339 00:16:03,560 --> 00:16:06,040 Speaker 6: So there you can see that, you know, things were 340 00:16:06,080 --> 00:16:08,680 Speaker 6: already kind of difficult for the industry as a whole 341 00:16:09,160 --> 00:16:12,440 Speaker 6: for the strikes again, and so that's one area we 342 00:16:12,440 --> 00:16:14,360 Speaker 6: can see it clearly. You can see the employment numbers 343 00:16:14,400 --> 00:16:17,280 Speaker 6: as well. But interestingly, you know, as we've talked about, 344 00:16:17,320 --> 00:16:20,280 Speaker 6: because writers can work other jobs, you don't see it, 345 00:16:20,320 --> 00:16:23,640 Speaker 6: for example, in the jobless claims data, you haven't seen 346 00:16:23,680 --> 00:16:25,120 Speaker 6: such a big spike overall. 347 00:16:25,360 --> 00:16:27,440 Speaker 5: You don't see the unemployment rate in California moving. 348 00:16:27,480 --> 00:16:29,000 Speaker 6: So in April it was four and a half percent, 349 00:16:29,880 --> 00:16:32,600 Speaker 6: now it's four point six percent. The one thing I 350 00:16:32,600 --> 00:16:35,200 Speaker 6: would caution is we only have data for California through 351 00:16:35,200 --> 00:16:38,080 Speaker 6: the month of August, so it's only been about a 352 00:16:38,120 --> 00:16:40,680 Speaker 6: month since, you know, the actors strikes started, so it 353 00:16:40,760 --> 00:16:42,400 Speaker 6: might just be a matter of time before we start 354 00:16:42,400 --> 00:16:44,440 Speaker 6: to see it over the next couple of months. But 355 00:16:44,640 --> 00:16:46,080 Speaker 6: on the right, on the actor's side, it might just 356 00:16:46,120 --> 00:16:47,680 Speaker 6: be a little too early to really. 357 00:16:47,560 --> 00:16:49,520 Speaker 3: Say this was going to be my next question. 358 00:16:49,560 --> 00:16:53,160 Speaker 4: I'm getting the sense that there is a lag involved here, 359 00:16:53,320 --> 00:16:55,880 Speaker 4: partly because people do have more than one job, or 360 00:16:55,920 --> 00:16:58,720 Speaker 4: actors typically have more than one job. How do you 361 00:16:58,840 --> 00:17:02,240 Speaker 4: kind of gauge how how long that lag might take 362 00:17:02,360 --> 00:17:06,359 Speaker 4: until you start seeing more of a stark impact on 363 00:17:06,400 --> 00:17:06,920 Speaker 4: the numbers. 364 00:17:07,359 --> 00:17:09,679 Speaker 6: So I don't know exactly what that lag would be, 365 00:17:10,160 --> 00:17:11,680 Speaker 6: but I think if I wanted to try to track, 366 00:17:11,760 --> 00:17:13,760 Speaker 6: you know, when is the starting to show up, I 367 00:17:13,800 --> 00:17:17,000 Speaker 6: would be most closely watching the weekly data on unemployment claims, 368 00:17:17,200 --> 00:17:20,960 Speaker 6: especially you know, granular or divicting down into LA what's 369 00:17:20,960 --> 00:17:23,879 Speaker 6: happening in La County, partly because the workforce here in 370 00:17:23,880 --> 00:17:26,359 Speaker 6: that industry is roughly I think about three and a 371 00:17:26,400 --> 00:17:30,639 Speaker 6: half percent of all jobs in LA are either in 372 00:17:30,680 --> 00:17:35,040 Speaker 6: that industry or you know, in that independent performers. So 373 00:17:35,080 --> 00:17:37,080 Speaker 6: those two areas you want to watch, and if you 374 00:17:37,119 --> 00:17:39,280 Speaker 6: start to see it happening in LA, you know, I 375 00:17:39,280 --> 00:17:41,120 Speaker 6: think it'll be obvious with the job as claims data 376 00:17:41,480 --> 00:17:44,320 Speaker 6: when that starts to show up. It's tough to say, 377 00:17:44,359 --> 00:17:50,280 Speaker 6: because people can transition from acting into other areas, right well, 378 00:17:50,720 --> 00:17:52,400 Speaker 6: in terms of those part time jobs that we talked about. 379 00:17:53,040 --> 00:17:55,440 Speaker 4: So you mentioned earlier that you have to answer three 380 00:17:55,600 --> 00:17:58,080 Speaker 4: questions in order to be counted as unemployed. Do you 381 00:17:58,119 --> 00:17:59,200 Speaker 4: know what those questions are? 382 00:17:59,280 --> 00:18:01,520 Speaker 5: Out of curiosity, I knew this was going to come up. 383 00:18:02,160 --> 00:18:03,000 Speaker 5: I should have memorized. 384 00:18:03,400 --> 00:18:06,639 Speaker 6: So one of them is you know, do you currently 385 00:18:07,400 --> 00:18:09,880 Speaker 6: have a job? Yes, er, it would have to be no, 386 00:18:10,160 --> 00:18:12,760 Speaker 6: are you available? And looking for work would also have 387 00:18:12,800 --> 00:18:14,159 Speaker 6: to be now? And the third one I'm blanking on 388 00:18:14,240 --> 00:18:15,720 Speaker 6: right now, but I will get back to. 389 00:18:15,640 --> 00:18:15,960 Speaker 5: You on it. 390 00:18:15,960 --> 00:18:17,360 Speaker 3: Okay, two out of three is pretty good. 391 00:18:17,520 --> 00:18:19,240 Speaker 2: I want to go back to a bigger picture thing 392 00:18:19,320 --> 00:18:20,919 Speaker 2: you said, which I think is really important, which is 393 00:18:20,920 --> 00:18:25,560 Speaker 2: that historically strikes are not the catalyst for the inflationary period, 394 00:18:25,760 --> 00:18:27,800 Speaker 2: but come after them. And of course that makes sense. 395 00:18:27,800 --> 00:18:30,119 Speaker 2: People feel that they're like falling behind. People want to 396 00:18:30,119 --> 00:18:32,320 Speaker 2: like get their share, and there's this whole idea of 397 00:18:32,320 --> 00:18:34,439 Speaker 2: like you know, inflation in general is often like a 398 00:18:34,480 --> 00:18:39,439 Speaker 2: battle over a result of different competing claims on money. 399 00:18:39,520 --> 00:18:41,280 Speaker 2: Can you talk a little bit about the big picture, 400 00:18:41,320 --> 00:18:44,199 Speaker 2: like historical trends of what we see. I know that 401 00:18:44,359 --> 00:18:46,679 Speaker 2: like strike activity is picked up a little bit, but 402 00:18:46,760 --> 00:18:48,360 Speaker 2: it's nothing like what it used to be. Like, talk 403 00:18:48,359 --> 00:18:50,320 Speaker 2: to us a little bit more about that theory of 404 00:18:50,760 --> 00:18:54,960 Speaker 2: labor tension strikes as a sort of post inflation phenomenon. 405 00:18:55,040 --> 00:18:58,160 Speaker 6: Yeah, So obviously there's been a ton of attention on unions, 406 00:18:58,280 --> 00:19:01,200 Speaker 6: yeah and strikes the last year or so. 407 00:19:01,320 --> 00:19:02,440 Speaker 5: What's interesting is if you. 408 00:19:02,400 --> 00:19:06,359 Speaker 6: Actually look at the percentage of workers in the private 409 00:19:06,359 --> 00:19:10,160 Speaker 6: sector who are part of a union. In twenty twelve, 410 00:19:10,200 --> 00:19:12,959 Speaker 6: it was around six and a half percent. It's actually 411 00:19:13,040 --> 00:19:15,560 Speaker 6: down to six percent now, which is not something you 412 00:19:15,600 --> 00:19:16,439 Speaker 6: would necessarily know. 413 00:19:16,720 --> 00:19:20,320 Speaker 5: Sorry, what was the So these are people who are 414 00:19:20,320 --> 00:19:23,200 Speaker 5: in a union, employees who are in a union. 415 00:19:23,359 --> 00:19:26,879 Speaker 6: In terms of all private sector employment, so out of 416 00:19:26,920 --> 00:19:28,879 Speaker 6: everyone who's working in the private sector, only about six 417 00:19:28,920 --> 00:19:30,240 Speaker 6: and a half percent of people were part of a 418 00:19:30,320 --> 00:19:33,320 Speaker 6: union got it ten years ago, and now that that 419 00:19:33,359 --> 00:19:34,919 Speaker 6: share has gone down to six percent. 420 00:19:35,480 --> 00:19:38,080 Speaker 5: So even though they're getting a lot more attention. 421 00:19:37,880 --> 00:19:39,800 Speaker 6: That that share of folks who are in the union 422 00:19:39,800 --> 00:19:41,960 Speaker 6: has actually gone down. The number of people who are 423 00:19:42,000 --> 00:19:45,679 Speaker 6: currently on strike is about two hundred and ten thousand roughly. 424 00:19:46,040 --> 00:19:48,440 Speaker 6: That's not even as high as it was several years back. 425 00:19:48,880 --> 00:19:51,280 Speaker 6: It's nowhere near the several you know, five six seven 426 00:19:51,320 --> 00:19:55,000 Speaker 6: hundred thousand in the eighties. We could potentially, by the way, 427 00:19:55,080 --> 00:19:58,760 Speaker 6: get there. There's you know, the possibility that these seventy 428 00:19:58,760 --> 00:20:00,840 Speaker 6: five thousand healthcare workers might strike. 429 00:20:01,920 --> 00:20:05,520 Speaker 5: Obviously, the uaw IS is not completely striking. 430 00:20:05,760 --> 00:20:07,760 Speaker 6: That's one hundred and forty thousand people right now that 431 00:20:08,040 --> 00:20:09,680 Speaker 6: you know, I think only about fifteen twenty thousand of 432 00:20:09,680 --> 00:20:11,399 Speaker 6: them are on strike, So we could potentially get to 433 00:20:11,400 --> 00:20:13,600 Speaker 6: a number that's been the highest since the early eighties. 434 00:20:13,840 --> 00:20:15,760 Speaker 6: But I think part of you know, what's going on 435 00:20:15,840 --> 00:20:20,600 Speaker 6: there is one I think given what's gone on through 436 00:20:20,640 --> 00:20:22,280 Speaker 6: the pandemic. Obviously there have been a lot of changes 437 00:20:22,280 --> 00:20:25,200 Speaker 6: in the labor market in general, everything from work from home, 438 00:20:25,240 --> 00:20:29,640 Speaker 6: but also during that period, a lot of workers, frontline 439 00:20:29,640 --> 00:20:34,120 Speaker 6: workers especially, continue to work, and you know, companies did 440 00:20:34,200 --> 00:20:36,720 Speaker 6: extremely well in terms of profits, and so a lot 441 00:20:36,760 --> 00:20:38,600 Speaker 6: of these folks are coming back now and saying, like, 442 00:20:38,840 --> 00:20:40,639 Speaker 6: you know, we ought to be sharing in some of 443 00:20:40,680 --> 00:20:43,200 Speaker 6: that record profit growth that we've seen over the last 444 00:20:43,200 --> 00:20:45,320 Speaker 6: several years. And you can sort of see this in 445 00:20:45,400 --> 00:20:49,240 Speaker 6: terms of opinions about unions used to be much more negative. 446 00:20:50,000 --> 00:20:52,359 Speaker 6: They're enjoying, you know, some of the best support they've 447 00:20:52,359 --> 00:20:56,240 Speaker 6: had in decades from the general public, if you will. 448 00:20:57,160 --> 00:20:58,480 Speaker 5: So that's that's one part of it. 449 00:20:58,680 --> 00:21:01,120 Speaker 6: Also, I think the other element here is that when 450 00:21:01,119 --> 00:21:03,399 Speaker 6: you think about some of the industries where we're seeing 451 00:21:03,400 --> 00:21:08,440 Speaker 6: strike activity, they are undergoing, you know, transformational changes. Right 452 00:21:08,560 --> 00:21:10,920 Speaker 6: when you think about writers and actors. Yes, of course 453 00:21:10,960 --> 00:21:13,359 Speaker 6: it's about better pay and about you know, residuals, and 454 00:21:13,600 --> 00:21:17,080 Speaker 6: it's also about the use of AI and people want 455 00:21:17,119 --> 00:21:19,040 Speaker 6: to figure out how is that going to impact me 456 00:21:19,520 --> 00:21:23,320 Speaker 6: down the road in the in the auto workers strike, yes, 457 00:21:23,359 --> 00:21:26,760 Speaker 6: about better pay and pensions and benefits, also about evs, 458 00:21:27,200 --> 00:21:29,320 Speaker 6: you know, how is how are the elect change electric 459 00:21:29,359 --> 00:21:32,359 Speaker 6: vehicle is going to impact workers? So a lot of 460 00:21:32,359 --> 00:21:35,720 Speaker 6: these places are seeing transformational changes that are coming, and 461 00:21:36,359 --> 00:21:38,240 Speaker 6: you know, workers are trying to figure out how exactly 462 00:21:38,560 --> 00:21:41,160 Speaker 6: they can sort of protect themselves in that sort of environment. 463 00:21:41,480 --> 00:21:43,399 Speaker 5: So, yes, there's been a lot of activity. I think 464 00:21:43,440 --> 00:21:44,280 Speaker 5: the profit story is big. 465 00:21:44,280 --> 00:21:46,199 Speaker 6: I think obviously inflation is a huge, huge part of 466 00:21:46,200 --> 00:21:49,360 Speaker 6: that story. For a couple of years, real wages we're 467 00:21:49,400 --> 00:21:52,280 Speaker 6: declining very, very sharply. If you actually look at autoworkers, 468 00:21:52,280 --> 00:21:53,840 Speaker 6: for example, you go back to two thousand and eight, 469 00:21:53,960 --> 00:21:56,720 Speaker 6: they they took a lot of cuts to help the 470 00:21:56,720 --> 00:22:00,639 Speaker 6: industry survive after a wait, and if you look at 471 00:22:00,640 --> 00:22:03,520 Speaker 6: their real wages since then, they're still down about ten percent. 472 00:22:03,720 --> 00:22:05,920 Speaker 6: So they're asking to sort of, you know, be made 473 00:22:05,960 --> 00:22:09,280 Speaker 6: whole and then some at this point, given profits that 474 00:22:09,320 --> 00:22:10,840 Speaker 6: we've seen at the autoworkers. 475 00:22:10,960 --> 00:22:13,480 Speaker 4: Yeah, they also created that sort of tiered system for 476 00:22:13,600 --> 00:22:18,280 Speaker 4: auto workers. Okay, So some common themes running through the 477 00:22:18,280 --> 00:22:23,760 Speaker 4: Hollywood strikes and the auto workers strikes, such as you know, 478 00:22:24,240 --> 00:22:26,920 Speaker 4: obviously inflation has been picking up, real wages going down, 479 00:22:27,200 --> 00:22:30,879 Speaker 4: transformational change that is this big question mark for the 480 00:22:30,920 --> 00:22:33,560 Speaker 4: respective industries as a whole. But how much of a 481 00:22:33,680 --> 00:22:37,000 Speaker 4: read through can we get from the actor and writers' 482 00:22:37,040 --> 00:22:40,920 Speaker 4: strikes and the economic impact so far to the UAW, because, 483 00:22:40,960 --> 00:22:44,840 Speaker 4: as you point out, it feels like the situation of 484 00:22:45,000 --> 00:22:48,600 Speaker 4: someone who's making cars versus someone who's writing scripts or 485 00:22:48,880 --> 00:22:50,240 Speaker 4: is a part time actor. 486 00:22:50,560 --> 00:22:51,479 Speaker 3: It feels different. 487 00:22:51,960 --> 00:22:53,440 Speaker 6: Yeah, So look, I think you can't even get a 488 00:22:53,480 --> 00:22:55,160 Speaker 6: read through from the writer's strike to the actor's strike, 489 00:22:55,880 --> 00:22:58,199 Speaker 6: let alone to the UAW. I think what I was 490 00:22:58,200 --> 00:23:01,320 Speaker 6: say in general, the underlying theme has been so far 491 00:23:01,400 --> 00:23:05,000 Speaker 6: this year and parts of last year, you've seen some 492 00:23:05,200 --> 00:23:09,480 Speaker 6: unions even if they didn't necessarily strike win some really 493 00:23:09,520 --> 00:23:11,960 Speaker 6: big concessions, right, So think about ups and the team starves. 494 00:23:12,040 --> 00:23:14,360 Speaker 6: They threatened to strike, ended up not striking, but they 495 00:23:14,400 --> 00:23:18,320 Speaker 6: won some really big gains for their workers. 496 00:23:19,240 --> 00:23:21,640 Speaker 5: The pilots didn't strike, but. 497 00:23:22,080 --> 00:23:24,679 Speaker 6: United Delta ended up with forty percent races over the 498 00:23:24,680 --> 00:23:27,919 Speaker 6: next four years. So you've seen these unions sort of 499 00:23:28,000 --> 00:23:30,200 Speaker 6: rack up win after a win after win. 500 00:23:30,359 --> 00:23:31,800 Speaker 5: Really big unions rack up these wins. 501 00:23:32,000 --> 00:23:34,560 Speaker 6: The Writers is one element where you know, five months 502 00:23:34,640 --> 00:23:36,640 Speaker 6: ago people were wondering what could they actually get out 503 00:23:36,680 --> 00:23:38,800 Speaker 6: of this, and they got a fair bit of what 504 00:23:38,840 --> 00:23:39,800 Speaker 6: they wanted. 505 00:23:39,480 --> 00:23:39,920 Speaker 5: Out of it. 506 00:23:40,119 --> 00:23:42,239 Speaker 6: But it's tough because now you know, as you know 507 00:23:42,280 --> 00:23:46,080 Speaker 6: from yesterday, the negotiations are off right now on the 508 00:23:46,119 --> 00:23:48,119 Speaker 6: actor side of things, so it's tough to get a 509 00:23:48,200 --> 00:23:50,600 Speaker 6: real read through, even within the same industry. But I 510 00:23:50,640 --> 00:23:54,520 Speaker 6: would say so far, I think union after unions inspiring 511 00:23:54,520 --> 00:23:56,560 Speaker 6: the next union to take on the challenge because they 512 00:23:56,600 --> 00:23:59,600 Speaker 6: have racked up a lot of wins this year. UAW 513 00:23:59,760 --> 00:24:01,800 Speaker 6: is also so a little bit different in the sense 514 00:24:01,800 --> 00:24:05,119 Speaker 6: that the way their striking is targeted, right, So it's 515 00:24:05,160 --> 00:24:07,800 Speaker 6: a very different approach than what the Writers did, a 516 00:24:07,920 --> 00:24:09,920 Speaker 6: different approach and what the actors are doing as well. 517 00:24:10,480 --> 00:24:12,880 Speaker 6: So it's hard to say if we can really take 518 00:24:12,920 --> 00:24:14,639 Speaker 6: what happened with the writers and the resolution on the 519 00:24:14,640 --> 00:24:18,040 Speaker 6: writer's tride and say that there's something there to to 520 00:24:18,119 --> 00:24:22,240 Speaker 6: learn respect to the UAW other than hey, these guys 521 00:24:22,280 --> 00:24:24,960 Speaker 6: also got to win, you know, we should keep continue 522 00:24:24,960 --> 00:24:26,040 Speaker 6: to kind of kind of fight. 523 00:24:26,560 --> 00:24:30,320 Speaker 2: So there's an audience question. You know, you mentioned that 524 00:24:30,480 --> 00:24:34,080 Speaker 2: even prior to the strike that the number of shoot 525 00:24:34,119 --> 00:24:36,440 Speaker 2: days in the area had been trending down. I think 526 00:24:36,480 --> 00:24:39,240 Speaker 2: you said for five straight quarters. How is significant? Just 527 00:24:39,320 --> 00:24:42,400 Speaker 2: is like the health of the entertainment industry for California. 528 00:24:43,119 --> 00:24:45,600 Speaker 6: Well, if you look at shoot days, it's not going great, right, 529 00:24:45,840 --> 00:24:48,720 Speaker 6: you know, those being down twenty percent versus what we 530 00:24:48,760 --> 00:24:51,520 Speaker 6: were doing in you know, five years prior to COVID 531 00:24:51,840 --> 00:24:53,520 Speaker 6: is a pretty significant And by the way, that that 532 00:24:53,600 --> 00:24:55,840 Speaker 6: does not include the second quarter, which is when the 533 00:24:55,840 --> 00:24:56,680 Speaker 6: writer's strike began. 534 00:24:57,080 --> 00:24:58,800 Speaker 5: After that it's going to plunge. Yeah, it's gonna plunge. 535 00:24:58,840 --> 00:25:00,640 Speaker 6: And we don't even have the data yet for after 536 00:25:00,680 --> 00:25:03,280 Speaker 6: the after actor strike, right, that's going to essential plumbent. 537 00:25:03,359 --> 00:25:06,080 Speaker 5: But even by the second quarter, after the writer's strike. 538 00:25:05,880 --> 00:25:08,080 Speaker 6: Began in May, so you only really had one month 539 00:25:08,119 --> 00:25:10,840 Speaker 6: April where you probably were shooting, we were down about 540 00:25:10,840 --> 00:25:12,880 Speaker 6: six thousy five hundred days, which is the lowest since 541 00:25:13,000 --> 00:25:15,600 Speaker 6: prior to twenty fifteen. So you're, you know, you're seeing 542 00:25:15,600 --> 00:25:18,320 Speaker 6: in general a year and a half of an industry 543 00:25:18,320 --> 00:25:21,159 Speaker 6: that's been struggling. And I know, you know, throughout the 544 00:25:21,240 --> 00:25:25,000 Speaker 6: day people have talked about streaming and how the challenge 545 00:25:25,040 --> 00:25:27,600 Speaker 6: is there. So you know, I would say that the 546 00:25:27,800 --> 00:25:30,720 Speaker 6: industry has been especially think about showo days also, it's 547 00:25:30,760 --> 00:25:34,800 Speaker 6: they've been losing shoe days, especially in commercials. Think about 548 00:25:34,800 --> 00:25:37,440 Speaker 6: commercials for anything from like shooting you know, a car 549 00:25:37,480 --> 00:25:41,600 Speaker 6: commercial or so on. They're losing business to places like Georgia. 550 00:25:42,520 --> 00:25:45,000 Speaker 6: You know, Georgia's got something like about a billion dollars 551 00:25:45,000 --> 00:25:48,160 Speaker 6: in tax credit that they gave out last year, and 552 00:25:48,200 --> 00:25:52,119 Speaker 6: so that's you know, they're losing commercials to other parts 553 00:25:52,160 --> 00:25:55,960 Speaker 6: of the country. Shows are also being shot elsewhere. So 554 00:25:56,800 --> 00:25:58,960 Speaker 6: there's been a steady sort of I don't want to 555 00:25:59,000 --> 00:26:02,160 Speaker 6: say exodus, but you know folks who are erosion. Yeah, 556 00:26:02,200 --> 00:26:04,320 Speaker 6: erosions a better way to put it. So you know, 557 00:26:04,359 --> 00:26:07,520 Speaker 6: it's there's definitely a struggle going on right now. I think, 558 00:26:07,680 --> 00:26:09,280 Speaker 6: more broadly speaking for the industry. 559 00:26:10,440 --> 00:26:13,159 Speaker 4: You know, you mentioned this idea of maybe some of 560 00:26:13,200 --> 00:26:16,600 Speaker 4: the hot union summer that we've seen is being caused 561 00:26:16,600 --> 00:26:21,360 Speaker 4: by people looking at the winds from other labor organizations 562 00:26:21,560 --> 00:26:24,160 Speaker 4: and thinking like, well, you know, maybe now is our chance. 563 00:26:24,200 --> 00:26:26,919 Speaker 4: And of course you also mentioned that a lot of 564 00:26:26,960 --> 00:26:30,200 Speaker 4: strike activity tends to follow on after periods of high 565 00:26:30,200 --> 00:26:34,040 Speaker 4: inflation for obvious reasons. What would be the catalyst for 566 00:26:34,560 --> 00:26:38,399 Speaker 4: some of these wage pressures to die down? I guess 567 00:26:38,480 --> 00:26:41,640 Speaker 4: like if we started to see a lot of pushback, 568 00:26:41,880 --> 00:26:45,399 Speaker 4: if inflation started to come down and maybe real wages stabilized, 569 00:26:45,400 --> 00:26:47,800 Speaker 4: would you expect to see some of this activity go 570 00:26:47,880 --> 00:26:50,800 Speaker 4: away or what does history tell us about like the 571 00:26:51,040 --> 00:26:54,439 Speaker 4: end of these surges in strike activity. 572 00:26:54,720 --> 00:26:57,920 Speaker 6: Yeah, I don't know that inflation coming down would necessarily 573 00:26:58,680 --> 00:27:00,920 Speaker 6: solve the problem, partly because a lot of these contracts, 574 00:27:00,920 --> 00:27:03,399 Speaker 6: for example, tend to be three four years long, and 575 00:27:03,440 --> 00:27:05,919 Speaker 6: so what you're negotiating for now is to try to 576 00:27:05,960 --> 00:27:08,400 Speaker 6: get back what you've lost over the last three years. 577 00:27:08,520 --> 00:27:10,439 Speaker 6: So inflation comes down from nine percent last year to 578 00:27:10,520 --> 00:27:14,240 Speaker 6: three percent this year, that's great for hopefully locking in 579 00:27:14,359 --> 00:27:17,000 Speaker 6: a win now over the next course of the next 580 00:27:17,040 --> 00:27:19,439 Speaker 6: several years, But you're still trying to play catch up 581 00:27:19,960 --> 00:27:21,440 Speaker 6: to the last few years. So I don't know that 582 00:27:21,440 --> 00:27:24,639 Speaker 6: that would necessarily do it. I think, you know, the 583 00:27:24,760 --> 00:27:28,560 Speaker 6: two things typically tend to be one if it's if 584 00:27:28,560 --> 00:27:32,160 Speaker 6: it's an industry where public opinion will turn against. 585 00:27:31,800 --> 00:27:33,040 Speaker 5: You very quickly. 586 00:27:33,119 --> 00:27:35,720 Speaker 6: So I could see a situation, for example, if the 587 00:27:35,720 --> 00:27:38,840 Speaker 6: auto stuff drags on for a long time, the inevitable 588 00:27:38,840 --> 00:27:40,880 Speaker 6: thing that's going to happen as car prices will skyrocket 589 00:27:41,119 --> 00:27:42,800 Speaker 6: much more so than they have even in the last 590 00:27:43,320 --> 00:27:46,960 Speaker 6: year or two years, and that's going to cost I 591 00:27:47,080 --> 00:27:49,520 Speaker 6: would suspect, you know, that's going to cause problems and 592 00:27:49,560 --> 00:27:51,240 Speaker 6: tensions with the broader public. 593 00:27:51,680 --> 00:27:53,879 Speaker 5: Right, So I think that's one potential day. This is 594 00:27:54,119 --> 00:27:54,600 Speaker 5: another word. 595 00:27:54,760 --> 00:27:57,760 Speaker 2: As you said earlier, we're in an era where surveys 596 00:27:57,800 --> 00:28:01,600 Speaker 2: showed that unions enjoy relatively higher so versus say several 597 00:28:01,680 --> 00:28:05,320 Speaker 2: years ago, and if car prices start to spike, that 598 00:28:05,359 --> 00:28:06,280 Speaker 2: could start to shift. 599 00:28:06,320 --> 00:28:08,480 Speaker 6: You know, it's all well and good when the enemy 600 00:28:08,560 --> 00:28:11,000 Speaker 6: is like corporate greed, yes, right, when it starts to 601 00:28:11,040 --> 00:28:13,520 Speaker 6: hit you at home, that becomes a different story. And 602 00:28:13,560 --> 00:28:16,360 Speaker 6: people tend to change their tune pretty quickly. So that's 603 00:28:16,440 --> 00:28:19,919 Speaker 6: one potential danger there is it's sort of the public 604 00:28:19,920 --> 00:28:22,280 Speaker 6: turns against you. But the other issue also would be, 605 00:28:22,800 --> 00:28:25,520 Speaker 6: you know, to some extent, there's a certain as you know, 606 00:28:25,600 --> 00:28:28,320 Speaker 6: all these unions have a certain amount of money where 607 00:28:28,320 --> 00:28:31,639 Speaker 6: they help to provide for people who are striking. So 608 00:28:31,680 --> 00:28:34,160 Speaker 6: the UAW for example, is giving out you know, five 609 00:28:34,240 --> 00:28:36,840 Speaker 6: hundred dollars a week. At some point, you know, to 610 00:28:36,880 --> 00:28:39,800 Speaker 6: the extent those funds run dry and it really starts 611 00:28:39,840 --> 00:28:43,240 Speaker 6: to become very painful for the. 612 00:28:43,200 --> 00:28:44,160 Speaker 5: Workers at some point. 613 00:28:44,960 --> 00:28:47,840 Speaker 6: That's another sort of element that could you know, lead 614 00:28:47,920 --> 00:28:49,720 Speaker 6: to a quicker resolution, if you will. 615 00:28:50,120 --> 00:28:55,360 Speaker 2: This seems like a distinct difference between the Hollywood strikes 616 00:28:55,400 --> 00:28:58,240 Speaker 2: and the writer's strikes, where I can't imagine the auto 617 00:28:58,240 --> 00:29:01,520 Speaker 2: workers are just like picking up shifts at restaurants in 618 00:29:01,600 --> 00:29:04,160 Speaker 2: bars at the same wages they are the same way 619 00:29:04,800 --> 00:29:05,760 Speaker 2: actors often can. 620 00:29:06,200 --> 00:29:08,760 Speaker 6: Yeah, I think it's a very different dynamic. It's so 621 00:29:09,040 --> 00:29:11,280 Speaker 6: another reason it's hard to get read through between yeah 622 00:29:11,600 --> 00:29:14,840 Speaker 6: them yeah, actors. Like I said, it just hasn't shown 623 00:29:14,880 --> 00:29:17,080 Speaker 6: up in the claims data because they're able to shift 624 00:29:17,120 --> 00:29:18,280 Speaker 6: into these other sectors. 625 00:29:18,560 --> 00:29:20,720 Speaker 2: You know, there's a question and I don't know, I 626 00:29:20,760 --> 00:29:23,480 Speaker 2: wish I even knew that someone is asking other areas 627 00:29:23,520 --> 00:29:26,800 Speaker 2: within entertainment that could strike. Do you know, like, are 628 00:29:26,840 --> 00:29:30,920 Speaker 2: the other other risks of further contagion, Like I'm not 629 00:29:30,960 --> 00:29:33,000 Speaker 2: I wish I had a better understanding of whether they're 630 00:29:33,040 --> 00:29:37,160 Speaker 2: like other union guild contracts up, but is there still 631 00:29:37,440 --> 00:29:39,920 Speaker 2: risk of contagion within the local economy. 632 00:29:40,360 --> 00:29:42,959 Speaker 6: So prior to all of this, there was a it's 633 00:29:42,960 --> 00:29:44,680 Speaker 6: a resolve because I never went on strike, but there 634 00:29:44,680 --> 00:29:47,680 Speaker 6: was a director's guild right issue, but that was resolved. 635 00:29:48,080 --> 00:29:50,920 Speaker 5: The one that I have read about more recently is 636 00:29:51,080 --> 00:29:51,800 Speaker 5: voice actors. 637 00:29:52,160 --> 00:29:54,440 Speaker 6: Oh so voice actors, I mean they are are a 638 00:29:54,520 --> 00:29:58,000 Speaker 6: part of zag aster, so they they can't work, for example, 639 00:29:58,080 --> 00:30:02,080 Speaker 6: on a full length you know, animation feature, but they 640 00:30:02,160 --> 00:30:07,000 Speaker 6: can still work on voiceovers for commercials and things like that. 641 00:30:07,520 --> 00:30:09,960 Speaker 6: But there was some talk about, you know, some others 642 00:30:09,960 --> 00:30:13,760 Speaker 6: who are not covered under these contracts to potentially also 643 00:30:13,800 --> 00:30:16,200 Speaker 6: strike something similar with in terms of like the video 644 00:30:16,240 --> 00:30:19,440 Speaker 6: game industry as well. So there's some elements there, you know, 645 00:30:19,520 --> 00:30:22,240 Speaker 6: some spillover, but I don't think those areas. 646 00:30:21,960 --> 00:30:22,840 Speaker 5: Are quite as large. 647 00:30:22,880 --> 00:30:39,120 Speaker 8: So we're talking about with respect to the captures. 648 00:30:25,520 --> 00:30:25,800 Speaker 5: Part of. 649 00:30:41,600 --> 00:30:44,720 Speaker 4: This is slightly off topic perhaps but not really. 650 00:30:45,840 --> 00:30:45,920 Speaker 5: So. 651 00:30:46,120 --> 00:30:49,040 Speaker 3: The other event that happened last night. 652 00:30:49,200 --> 00:30:53,080 Speaker 4: Obviously, the second tier event compared to the opening evening 653 00:30:53,200 --> 00:30:57,840 Speaker 4: of Bloomberg screen time was Taylor Swift and her red 654 00:30:57,880 --> 00:31:01,280 Speaker 4: carpet premiere for the Eras tour. And there's been so 655 00:31:01,480 --> 00:31:05,280 Speaker 4: much discussion recently about this idea that Taylor Swift is 656 00:31:05,520 --> 00:31:09,800 Speaker 4: propping up the US economy, injecting billions of dollars worth 657 00:31:09,800 --> 00:31:12,600 Speaker 4: of demand at a time when we might otherwise see 658 00:31:12,600 --> 00:31:13,360 Speaker 4: some softening. 659 00:31:13,960 --> 00:31:14,800 Speaker 3: What do you think about the. 660 00:31:15,280 --> 00:31:19,960 Speaker 4: Swift effect THEE. 661 00:31:18,440 --> 00:31:21,160 Speaker 6: Yeah, I mean, I think it's pretty real when you 662 00:31:21,160 --> 00:31:23,560 Speaker 6: look at the data. If you look, for example, where 663 00:31:24,000 --> 00:31:26,880 Speaker 6: she has gone on tour at certain points, you will 664 00:31:26,920 --> 00:31:29,840 Speaker 6: see a spike in hotel rates everywhere she goes. So 665 00:31:30,000 --> 00:31:31,920 Speaker 6: a good example of this is a couple of months 666 00:31:31,960 --> 00:31:35,000 Speaker 6: ago we saw data in she was i think in 667 00:31:35,280 --> 00:31:37,480 Speaker 6: touring the Midwest and it was like June or July, 668 00:31:37,680 --> 00:31:40,520 Speaker 6: and prices prior to that shot off fifty five percent 669 00:31:41,080 --> 00:31:42,960 Speaker 6: for hotel rates. As soon as she left the next 670 00:31:42,960 --> 00:31:44,040 Speaker 6: month they were down twenty percent. 671 00:31:44,520 --> 00:31:44,720 Speaker 5: Wow. 672 00:31:44,880 --> 00:31:48,760 Speaker 6: So you know, there's pretty clear that there's an impact happening. 673 00:31:49,120 --> 00:31:51,640 Speaker 6: People are traveling from all over for the shows and 674 00:31:51,680 --> 00:31:54,320 Speaker 6: Beyonce also, you know, right there's actually I think, you know, 675 00:31:55,160 --> 00:31:57,200 Speaker 6: an along at Bloomberg has actually written a lot about this, 676 00:31:57,280 --> 00:31:58,840 Speaker 6: and I think it's there's a lot of good interesting 677 00:31:58,920 --> 00:32:00,480 Speaker 6: data she's put out about it. But yeah, I think 678 00:32:00,480 --> 00:32:03,080 Speaker 6: it's it's it's very real. Even the Philadelphia Fed, I believe, 679 00:32:03,080 --> 00:32:06,240 Speaker 6: at one point, said she impacted the local economy in 680 00:32:06,240 --> 00:32:09,000 Speaker 6: the Beige Book. So yeah, I think it's pretty clear 681 00:32:09,040 --> 00:32:10,680 Speaker 6: that there's a tailor effect happening. 682 00:32:10,920 --> 00:32:13,720 Speaker 4: Is it at the level where you, as an inflation 683 00:32:13,960 --> 00:32:17,320 Speaker 4: analyst have to pay attention to Taylor swift tour dates? 684 00:32:17,480 --> 00:32:20,640 Speaker 6: I never thought I would have to, but yes, because, 685 00:32:20,680 --> 00:32:23,440 Speaker 6: like I said, this hotel raids stuff was shocking, because 686 00:32:24,360 --> 00:32:27,080 Speaker 6: this is one of those things within the inflation index 687 00:32:27,160 --> 00:32:30,720 Speaker 6: that is extremely volatile, so month to month it can 688 00:32:30,800 --> 00:32:33,880 Speaker 6: destroy your forecast, and it destroyed mine this morning. But 689 00:32:34,560 --> 00:32:37,160 Speaker 6: it can move around five percent seven percent in a month. 690 00:32:37,640 --> 00:32:40,400 Speaker 6: And like I said, you know, last month it was 691 00:32:40,440 --> 00:32:42,600 Speaker 6: down massively and I couldn't figure out why, and I 692 00:32:42,600 --> 00:32:44,960 Speaker 6: started digging into the weeds, and next thing I know, 693 00:32:45,000 --> 00:32:48,120 Speaker 6: I see this massive decline in the Midwest. And sure enough, 694 00:32:48,120 --> 00:32:49,760 Speaker 6: a few months prior to that, when she was touring 695 00:32:49,760 --> 00:32:52,480 Speaker 6: around the region, you had just seen this huge search 696 00:32:52,560 --> 00:32:54,320 Speaker 6: as soon as she was gone, you saw hotel rates 697 00:32:54,360 --> 00:32:57,480 Speaker 6: come down, so there's some element of you know, her 698 00:32:57,560 --> 00:33:01,280 Speaker 6: impact on different data sets includes being the inflation index 699 00:33:01,800 --> 00:33:04,640 Speaker 6: for hotel rates that I think is pretty obvious. And again, 700 00:33:04,680 --> 00:33:06,000 Speaker 6: I never thought I would have to worry about this 701 00:33:06,080 --> 00:33:08,320 Speaker 6: kind of stuff, but it's it's in the data, so 702 00:33:08,360 --> 00:33:10,120 Speaker 6: you know, you've got to kind of be aware of 703 00:33:10,160 --> 00:33:10,840 Speaker 6: it well. 704 00:33:11,280 --> 00:33:14,120 Speaker 2: As you mentioned, so we are what is today October twelfth, 705 00:33:14,160 --> 00:33:17,320 Speaker 2: I think that's regardless. It's a is CPI Day, which 706 00:33:17,360 --> 00:33:19,240 Speaker 2: is like a holiday for you, and so we really 707 00:33:19,320 --> 00:33:23,360 Speaker 2: appreciate you spending your CPI Day with us talking about 708 00:33:23,400 --> 00:33:26,920 Speaker 2: the entertainment industry. But since we have you on CPI 709 00:33:27,000 --> 00:33:30,560 Speaker 2: Day and the numbers came in a little bit hot, 710 00:33:30,760 --> 00:33:33,720 Speaker 2: but like, what's you at least on the headline? Others 711 00:33:33,720 --> 00:33:35,560 Speaker 2: were saying, Oh, if you look at the course services 712 00:33:35,760 --> 00:33:37,280 Speaker 2: X housing is actually kind of cool. 713 00:33:37,480 --> 00:33:38,240 Speaker 5: What should we. 714 00:33:38,160 --> 00:33:40,360 Speaker 2: Take from the inflation trajectory right now? 715 00:33:40,840 --> 00:33:44,280 Speaker 6: We've had the summer of disinflation, right we had four 716 00:33:44,360 --> 00:33:47,080 Speaker 6: or five months where the numbers were retreating and they 717 00:33:47,080 --> 00:33:49,040 Speaker 6: would look like they used to look prior to COVID, 718 00:33:49,840 --> 00:33:53,840 Speaker 6: and things were improving to the point where fed officials 719 00:33:53,840 --> 00:33:55,960 Speaker 6: were saying, hey, maybe we don't need to raise rates 720 00:33:55,960 --> 00:33:59,200 Speaker 6: as much anymore. The last two months we've had this 721 00:33:59,240 --> 00:34:02,240 Speaker 6: a little bit of a pop here to slightly higher numbers. 722 00:34:02,680 --> 00:34:04,360 Speaker 6: You know, we're not going back to those twenty twenty 723 00:34:04,360 --> 00:34:06,440 Speaker 6: one type days, or to early twenty twenty two when 724 00:34:07,040 --> 00:34:09,200 Speaker 6: every month we were getting numbers that we're running, you know, 725 00:34:09,560 --> 00:34:12,080 Speaker 6: six to seven percent annualized, But right now we're around 726 00:34:12,080 --> 00:34:14,040 Speaker 6: three and a half percent anualized, which is still too 727 00:34:14,080 --> 00:34:17,520 Speaker 6: high for the Fed. Problem is, over the next quarter, 728 00:34:18,680 --> 00:34:20,279 Speaker 6: three and a half is about where we're going to 729 00:34:20,320 --> 00:34:22,720 Speaker 6: be sitting, I think. And so you know, the problem 730 00:34:22,760 --> 00:34:25,120 Speaker 6: is going to be that you're hoping to get down 731 00:34:25,160 --> 00:34:28,560 Speaker 6: to two percent on inflation. What looked like a trajectory 732 00:34:28,840 --> 00:34:30,720 Speaker 6: that was going to get you there over the summer 733 00:34:31,040 --> 00:34:34,160 Speaker 6: has now shifted higher. And I think we also have 734 00:34:34,160 --> 00:34:36,359 Speaker 6: to be a little bit careful here because CPI is 735 00:34:36,400 --> 00:34:39,080 Speaker 6: absolutely gonna shift higher over the next month or two. 736 00:34:39,719 --> 00:34:42,440 Speaker 6: The core PCEE deflator is obviously what the FED prefers 737 00:34:42,480 --> 00:34:45,799 Speaker 6: to watch. That looks like it will shift a little 738 00:34:45,800 --> 00:34:47,520 Speaker 6: bit higher, but probably not as much as what's going 739 00:34:47,560 --> 00:34:50,640 Speaker 6: to happen in the CPI. For some you know reasons 740 00:34:50,640 --> 00:34:52,879 Speaker 6: in terms of how they're constructed differently, So we're gonna 741 00:34:52,880 --> 00:34:55,520 Speaker 6: have to watch that one more closely. But the problem 742 00:34:55,520 --> 00:34:57,480 Speaker 6: for the FED, I think is when they meet in December. 743 00:34:57,840 --> 00:34:59,400 Speaker 6: They're going to walk into that meeting a lot of 744 00:34:59,440 --> 00:35:02,440 Speaker 6: people think we'd need to raise rates anymore they've were done. 745 00:35:02,960 --> 00:35:07,120 Speaker 6: What they're going to confront is a August, September, very 746 00:35:07,200 --> 00:35:09,960 Speaker 6: likely October and November CPI that are all running at 747 00:35:10,000 --> 00:35:13,680 Speaker 6: about a three and a half percent annualized rate. And 748 00:35:14,040 --> 00:35:16,080 Speaker 6: you know, you mentioned the super core, which is core 749 00:35:16,160 --> 00:35:19,120 Speaker 6: services outside of housing, So these are you know a 750 00:35:19,160 --> 00:35:22,439 Speaker 6: lot of different things. Hotel rates, airfares, what you pay 751 00:35:22,480 --> 00:35:24,560 Speaker 6: to go to the movies, you know, what you might 752 00:35:24,560 --> 00:35:25,680 Speaker 6: pay to go to a sporting event. 753 00:35:26,600 --> 00:35:27,959 Speaker 5: Those sorts of prices were up. 754 00:35:27,880 --> 00:35:31,240 Speaker 6: Today at a seven percent annualized rate. And the concern 755 00:35:31,280 --> 00:35:32,560 Speaker 6: I think is in December it is going to be 756 00:35:33,160 --> 00:35:36,760 Speaker 6: suddenly this path is shifted higher. So do they think 757 00:35:36,840 --> 00:35:39,279 Speaker 6: that they need to do one you know, maybe do 758 00:35:39,320 --> 00:35:41,080 Speaker 6: one more rate hike, which, by the way, twelve out 759 00:35:41,080 --> 00:35:43,600 Speaker 6: of nineteen of them thought was the right move in September. 760 00:35:45,160 --> 00:35:46,800 Speaker 6: It's going to be tough for them to I think, 761 00:35:47,280 --> 00:35:48,680 Speaker 6: you know, if you're a data dependent and the data 762 00:35:48,719 --> 00:35:51,000 Speaker 6: shifted higher, it's going to be tough to sort of 763 00:35:51,000 --> 00:35:53,759 Speaker 6: forego another hike in December. So I think that's that's 764 00:35:53,760 --> 00:35:55,080 Speaker 6: the concern for me, is you know, are they going 765 00:35:55,120 --> 00:35:57,400 Speaker 6: to be able to sort of parse through this and say, hey, 766 00:35:57,440 --> 00:35:58,840 Speaker 6: we should go one more time, or are they going 767 00:35:58,920 --> 00:36:00,080 Speaker 6: to look at it and say, we know some of 768 00:36:00,160 --> 00:36:02,400 Speaker 6: these things will cool off next year, so we can 769 00:36:02,440 --> 00:36:03,839 Speaker 6: kind of hold our fire right now. 770 00:36:04,160 --> 00:36:06,600 Speaker 4: Maybe they need to ask Taylor Swift if she's going 771 00:36:06,600 --> 00:36:07,680 Speaker 4: to extend her tour or not. 772 00:36:08,120 --> 00:36:11,200 Speaker 2: See, I always thought Taylor Swift tour would be deflationary 773 00:36:11,239 --> 00:36:13,720 Speaker 2: because it's all these sort of like you know, people 774 00:36:13,719 --> 00:36:16,319 Speaker 2: with like you know, middle class families transferring money to 775 00:36:16,400 --> 00:36:18,640 Speaker 2: someone who has more money than God, who is not going. 776 00:36:18,600 --> 00:36:19,839 Speaker 3: To spend it's not spending it. 777 00:36:19,800 --> 00:36:23,120 Speaker 2: All transfer of money to someone with a much lower 778 00:36:23,160 --> 00:36:27,799 Speaker 2: marginal propensity to consume. But uh again everyone but apparently in. 779 00:36:27,719 --> 00:36:30,279 Speaker 6: The short spending it on airfares into the show, to 780 00:36:30,360 --> 00:36:31,520 Speaker 6: the cab and right now. 781 00:36:32,120 --> 00:36:34,759 Speaker 4: Everything except the ticket purchase, I guess would be in Yeah. 782 00:36:34,880 --> 00:36:36,000 Speaker 6: And I was say one of the things about the 783 00:36:36,040 --> 00:36:37,239 Speaker 6: strike too, By the way, there's going to be a 784 00:36:37,280 --> 00:36:38,919 Speaker 6: lot of numbers that come out. You know, a recent 785 00:36:38,960 --> 00:36:40,799 Speaker 6: one from the Milk Institute said the economy is going 786 00:36:40,840 --> 00:36:43,280 Speaker 6: to take a five billion dollar hit from the actors 787 00:36:43,280 --> 00:36:44,920 Speaker 6: and the writer's strike. They also said there was a 788 00:36:44,920 --> 00:36:47,080 Speaker 6: two billion dollars hit in oh seven oh eight. The thing, though, 789 00:36:47,120 --> 00:36:48,279 Speaker 6: is for a lot of people, it's like, let's say 790 00:36:48,280 --> 00:36:50,360 Speaker 6: the movies don't come out, new shows are not coming out. 791 00:36:50,520 --> 00:36:52,480 Speaker 6: If you're somebody, you know, you live in wherever in 792 00:36:52,600 --> 00:36:54,879 Speaker 6: la and Manhattan, Brooklyn, and you go to the movies often, 793 00:36:54,920 --> 00:36:57,839 Speaker 6: and these movies are delayed. Now, that money can get 794 00:36:57,880 --> 00:37:01,279 Speaker 6: spent elsewhere, right, Like we know that from COVID. Right 795 00:37:01,360 --> 00:37:04,040 Speaker 6: when people couldn't people were stuck at home, they couldn't 796 00:37:04,040 --> 00:37:05,600 Speaker 6: go out to the restaurants and the bars. 797 00:37:06,120 --> 00:37:06,640 Speaker 5: What do they do. 798 00:37:06,680 --> 00:37:08,880 Speaker 6: They just bought every sofa and you know lamp they 799 00:37:08,880 --> 00:37:10,520 Speaker 6: could buy, and they remodeled. 800 00:37:10,600 --> 00:37:13,080 Speaker 5: Yeah, and they continue to do that for like two years. 801 00:37:13,280 --> 00:37:14,799 Speaker 6: So it's not you know, if you're living in New 802 00:37:14,840 --> 00:37:15,960 Speaker 6: York and you can't go see a movie because there 803 00:37:16,040 --> 00:37:17,560 Speaker 6: the movie is out, you know, you go check out 804 00:37:17,560 --> 00:37:20,319 Speaker 6: a new band at the Mercury Lounge. There's a lot 805 00:37:20,320 --> 00:37:23,520 Speaker 6: of other things to do, so that money can get 806 00:37:23,600 --> 00:37:26,800 Speaker 6: spent elsewhere and kind of limit the impact of the strike. 807 00:37:27,040 --> 00:37:28,960 Speaker 6: And in fact, if you look at, you know, sort 808 00:37:29,000 --> 00:37:30,920 Speaker 6: of some of the lost wages we've seen so far 809 00:37:31,320 --> 00:37:34,120 Speaker 6: for actors, for writers, it's a it's a problem for 810 00:37:34,160 --> 00:37:38,400 Speaker 6: the LA region. You're talking about potentially as much as 811 00:37:38,440 --> 00:37:40,680 Speaker 6: a two percent hit to GDP I think from for 812 00:37:40,840 --> 00:37:43,600 Speaker 6: annualized for LA if this goes on for the rest 813 00:37:43,600 --> 00:37:45,960 Speaker 6: of the year. But when you broaden out to California, 814 00:37:46,040 --> 00:37:47,640 Speaker 6: this is a three and a half three point seven 815 00:37:47,680 --> 00:37:50,600 Speaker 6: trillion dollar economy right now, you're talking about a couple 816 00:37:50,600 --> 00:37:52,759 Speaker 6: of maybe a tenth. You go out to the US, 817 00:37:52,800 --> 00:37:55,040 Speaker 6: it's a twenty four trillion, twenty five trillion dollars economy. 818 00:37:55,200 --> 00:37:59,360 Speaker 6: It's virtually close to zero. But like I said, you 819 00:37:59,400 --> 00:38:01,600 Speaker 6: know you, even though they are people may not be 820 00:38:01,600 --> 00:38:03,239 Speaker 6: able to spend as much on the movies and sort 821 00:38:03,239 --> 00:38:06,000 Speaker 6: of associated things that spending we know can shift elsewhere 822 00:38:06,000 --> 00:38:07,040 Speaker 6: and kind of limit that damage. 823 00:38:08,040 --> 00:38:10,040 Speaker 3: I feel like I need to spell out for all thoughts. 824 00:38:10,080 --> 00:38:11,840 Speaker 3: Listeners that go see a new. 825 00:38:11,719 --> 00:38:14,280 Speaker 4: Band at the Mercury Lounge was in fact a reference 826 00:38:14,400 --> 00:38:17,680 Speaker 4: to Joe's Band and their first show at the Mercury 827 00:38:17,719 --> 00:38:20,400 Speaker 4: Lounge in December and in terms of inflation, I just 828 00:38:20,440 --> 00:38:22,880 Speaker 4: want to add, Joe is making me buy my own tickets. 829 00:38:23,880 --> 00:38:25,920 Speaker 4: I don't even get comped the twenty bucks for. 830 00:38:25,920 --> 00:38:29,239 Speaker 2: Those we're trying to trying to do our part for 831 00:38:29,239 --> 00:38:31,520 Speaker 2: the like. If you're in New York City December nineteen, 832 00:38:31,920 --> 00:38:34,080 Speaker 2: come out to see a light sweet crew at the 833 00:38:34,120 --> 00:38:37,440 Speaker 2: Mercury Lounge. Oh Mercerief, thank you so much for doing this. 834 00:38:50,080 --> 00:38:53,880 Speaker 4: That was our conversation recorded live at the Bloomberg screen 835 00:38:53,960 --> 00:38:57,920 Speaker 4: Time Conference in La with O Mayor Sharif. I'm Tracy Alloway. 836 00:38:58,000 --> 00:39:00,280 Speaker 4: You can follow me at Tracy Alloway. 837 00:39:00,040 --> 00:39:03,040 Speaker 2: And I'm Joe Wisenthal. You can follow me at the Stalwart, 838 00:39:03,400 --> 00:39:07,759 Speaker 2: follow Omayor at Fcast of the Month. Follow our producers 839 00:39:07,800 --> 00:39:11,680 Speaker 2: Carmen Rodriguez at Carmen Arman and Dashel Bennett at Dashbot. 840 00:39:11,680 --> 00:39:14,799 Speaker 2: And thank you to our producer Moses Ondam. From our 841 00:39:14,800 --> 00:39:17,879 Speaker 2: odd Lots content, go to Bloomberg dot com slash odd Lots, 842 00:39:17,920 --> 00:39:21,000 Speaker 2: where we have a blog, we have transcripts in a newsletter, 843 00:39:21,320 --> 00:39:23,279 Speaker 2: and you can chat with fellow listeners twenty four to 844 00:39:23,280 --> 00:39:27,560 Speaker 2: seven in our discord Discord dot gg slash odlocks. 845 00:39:27,160 --> 00:39:29,640 Speaker 4: And if you like odd Lots, if you enjoy it 846 00:39:29,680 --> 00:39:33,360 Speaker 4: when we record live episodes at these conferences, then please 847 00:39:33,520 --> 00:39:36,759 Speaker 4: leave us a positive review on your favorite podcast platform. 848 00:39:36,800 --> 00:39:37,560 Speaker 3: Thanks for listening. 849 00:40:05,400 --> 00:40:06,320 Speaker 4: In eight