1 00:00:00,320 --> 00:00:01,120 Speaker 1: I can't hear you. 2 00:00:01,240 --> 00:00:02,560 Speaker 2: What do we want? 3 00:00:02,680 --> 00:00:02,920 Speaker 3: Track? 4 00:00:03,200 --> 00:00:13,640 Speaker 2: When we want it? That is the sound of striking 5 00:00:13,800 --> 00:00:17,480 Speaker 2: writers and actors. Our interns in New York City went 6 00:00:17,520 --> 00:00:19,840 Speaker 2: out to ask some of them why they're on strike, 7 00:00:19,960 --> 00:00:23,240 Speaker 2: what do they want? I'm a writer on strike. We 8 00:00:23,280 --> 00:00:27,080 Speaker 2: are fighting for better contracts and better residuals for the 9 00:00:27,120 --> 00:00:30,080 Speaker 2: writers and the actors. Now I'm here to fight for 10 00:00:30,240 --> 00:00:32,720 Speaker 2: our equal for our pay that we should be getting, 11 00:00:33,400 --> 00:00:36,239 Speaker 2: and so he may I out of writing rooms and 12 00:00:36,360 --> 00:00:37,800 Speaker 2: out of offscreen. 13 00:00:38,640 --> 00:00:41,320 Speaker 4: I think a lot of people might be under the 14 00:00:41,320 --> 00:00:46,120 Speaker 4: impression that the television and movie writers are all millionaires 15 00:00:46,159 --> 00:00:47,879 Speaker 4: and living in mansions. 16 00:00:47,880 --> 00:00:48,320 Speaker 3: But we're not. 17 00:00:48,400 --> 00:00:50,120 Speaker 5: We're middle class. 18 00:00:49,600 --> 00:00:54,560 Speaker 4: People trying to pay uh our kids' tuitions, and pay 19 00:00:54,560 --> 00:00:58,160 Speaker 4: our rent and pay our grocery bills, and it's been 20 00:00:58,160 --> 00:01:01,240 Speaker 4: increasingly more challenging and difficult to do that. 21 00:01:01,600 --> 00:01:04,080 Speaker 5: I want to see a fair deal as soon as possible. 22 00:01:04,560 --> 00:01:08,800 Speaker 5: It is absolutely appalling that they are not negotiating right now. 23 00:01:10,040 --> 00:01:12,760 Speaker 5: I understand they had the sad contract to go through, 24 00:01:12,760 --> 00:01:14,920 Speaker 5: the DJ contract to go through the fact the fact 25 00:01:14,959 --> 00:01:16,800 Speaker 5: that they are not around the table right now is 26 00:01:17,000 --> 00:01:17,880 Speaker 5: utterly disgusting. 27 00:01:19,080 --> 00:01:22,560 Speaker 2: If that last voice sounds familiar, it's because it's comedian 28 00:01:22,720 --> 00:01:26,800 Speaker 2: John Oliver. He's the host of HBO's Last Week Tonight. 29 00:01:26,880 --> 00:01:29,520 Speaker 2: That's one of the many shows that's gone dark for 30 00:01:29,600 --> 00:01:32,320 Speaker 2: the strake. He was joining a picket line that has 31 00:01:32,360 --> 00:01:46,720 Speaker 2: shown no signs of backing down. I'm West Kasova today 32 00:01:46,760 --> 00:01:50,800 Speaker 2: on the Big Take. How long until Hollywood is back 33 00:01:50,840 --> 00:02:00,240 Speaker 2: on set? Bloomberg's Lucas Shaw is back on the show 34 00:02:00,280 --> 00:02:03,040 Speaker 2: to try to answer that question. Hey, Lucas, good to 35 00:02:03,040 --> 00:02:03,600 Speaker 2: talk to you again. 36 00:02:03,960 --> 00:02:04,680 Speaker 1: Great to be back. 37 00:02:05,160 --> 00:02:07,640 Speaker 2: So this writer strike has been going on for a 38 00:02:07,680 --> 00:02:10,840 Speaker 2: long time. Are you surprised how long it's been going No. 39 00:02:11,360 --> 00:02:14,720 Speaker 1: Back in April, when the negotiations were nearing the point 40 00:02:14,720 --> 00:02:20,040 Speaker 1: of breaking down, I predicted and just felt that it 41 00:02:20,040 --> 00:02:24,520 Speaker 1: would last until October. It was just evident from talking 42 00:02:24,560 --> 00:02:27,959 Speaker 1: to people on both sides as well as sort of 43 00:02:28,040 --> 00:02:32,480 Speaker 1: third parties you know, agents, lawyers, intermediaries, representatives, that neither 44 00:02:32,520 --> 00:02:36,840 Speaker 1: side was close. The negotiations were not particularly intense. It 45 00:02:36,840 --> 00:02:39,000 Speaker 1: didn't seem like either side was really trying to make 46 00:02:39,040 --> 00:02:41,880 Speaker 1: a deal. Though I don't think either sid wanted a strike. 47 00:02:42,120 --> 00:02:45,080 Speaker 1: It began to feel inevitable, and honestly, it was described 48 00:02:45,080 --> 00:02:48,160 Speaker 1: as inevitable even going back to last year. I think 49 00:02:48,200 --> 00:02:51,239 Speaker 1: what has surprised people a little bit is nobody was 50 00:02:51,280 --> 00:02:53,920 Speaker 1: sure what would happen that the actors would strike. And 51 00:02:53,960 --> 00:02:57,120 Speaker 1: then also I think the tone, the tone of the 52 00:02:57,160 --> 00:03:00,800 Speaker 1: strike has surprised some people, just because the guild has become, 53 00:03:01,240 --> 00:03:05,240 Speaker 1: you know, very much like a normal labor union, kind 54 00:03:05,240 --> 00:03:07,560 Speaker 1: of full of political activists, and so I think that's 55 00:03:07,560 --> 00:03:08,920 Speaker 1: caught some of the studios off guard. 56 00:03:09,560 --> 00:03:13,959 Speaker 2: You've called the strike Hollywood's greatest labor dispute in six decades. 57 00:03:14,639 --> 00:03:18,079 Speaker 2: Has there been any movement in what the writers are demanding, 58 00:03:18,080 --> 00:03:21,280 Speaker 2: what the studios want, versus kind of like what they 59 00:03:21,320 --> 00:03:22,120 Speaker 2: first expected. 60 00:03:22,800 --> 00:03:26,200 Speaker 1: There hasn't been huge movement. You know, when the writers 61 00:03:26,240 --> 00:03:29,919 Speaker 1: first went on strike, they posted on social media sort 62 00:03:29,960 --> 00:03:33,360 Speaker 1: of their proposals and what the studio said in response, 63 00:03:33,760 --> 00:03:37,360 Speaker 1: and something sort of similar happened with the actors. The 64 00:03:37,400 --> 00:03:40,280 Speaker 1: tricky part in this is there are some areas on 65 00:03:40,320 --> 00:03:42,840 Speaker 1: which I think both sides sort of agree with what 66 00:03:42,920 --> 00:03:45,040 Speaker 1: is on the table right, Like, one of the biggest 67 00:03:45,080 --> 00:03:47,960 Speaker 1: disputes is writers would like there to be a minimum 68 00:03:48,040 --> 00:03:50,560 Speaker 1: number of them who are in the writer's room working 69 00:03:50,640 --> 00:03:52,800 Speaker 1: on the scripts for the show, which is something that 70 00:03:52,920 --> 00:03:55,680 Speaker 1: studios are not going to agree to and they acknowledge 71 00:03:55,680 --> 00:03:57,280 Speaker 1: that the writers have asked for it, and acknowledge that 72 00:03:57,280 --> 00:03:58,240 Speaker 1: they've basically said no. 73 00:03:59,680 --> 00:04:01,880 Speaker 2: Can you explain why that's so important for the writers? 74 00:04:01,920 --> 00:04:04,080 Speaker 2: Like being in the room, it's. 75 00:04:03,920 --> 00:04:06,480 Speaker 1: The minimum part that's actually most important to them, because 76 00:04:06,480 --> 00:04:11,480 Speaker 1: what has happened in streaming is that you have fewer 77 00:04:11,560 --> 00:04:16,599 Speaker 1: episodes per season. You tend to have shorter shows in general, 78 00:04:17,160 --> 00:04:21,160 Speaker 1: and that can be a reason to have fewer people 79 00:04:21,279 --> 00:04:23,920 Speaker 1: in the room. There have also been some high profile 80 00:04:23,960 --> 00:04:27,600 Speaker 1: examples of shows that are basically entirely written by one person. 81 00:04:28,240 --> 00:04:32,200 Speaker 1: Writing has historically been as as Hollywood is as a 82 00:04:32,240 --> 00:04:35,920 Speaker 1: lot of industries are sort of a job of apprenticeship 83 00:04:35,960 --> 00:04:37,920 Speaker 1: where you sort of rise through the ranks and there's 84 00:04:37,920 --> 00:04:41,320 Speaker 1: this gradual process whereby you get more and more senior, 85 00:04:41,360 --> 00:04:42,960 Speaker 1: you get paid more and more money, and also you 86 00:04:43,040 --> 00:04:46,840 Speaker 1: learn more skills. Streaming has upset this process a little 87 00:04:46,880 --> 00:04:49,320 Speaker 1: bit one because in some cases the rooms are smaller. 88 00:04:49,600 --> 00:04:53,240 Speaker 1: Also because of the way that they're shot. Oftentimes writers 89 00:04:53,279 --> 00:04:55,760 Speaker 1: are no longer on set and that's something that they 90 00:04:55,800 --> 00:04:58,880 Speaker 1: care about. And so a big aspect of this labor 91 00:04:58,920 --> 00:05:02,359 Speaker 1: dispute has been writers and talent sort of wanting to 92 00:05:02,400 --> 00:05:04,080 Speaker 1: go back to the way things were, and a lot 93 00:05:04,080 --> 00:05:06,400 Speaker 1: of these media companies being like, there's no going backwards, 94 00:05:06,400 --> 00:05:08,520 Speaker 1: where you know, this is the new reality. That's a 95 00:05:08,520 --> 00:05:11,520 Speaker 1: big reason why it's been so hard to find common 96 00:05:11,560 --> 00:05:15,920 Speaker 1: ground is because they're sort of fighting over really fundamental 97 00:05:15,960 --> 00:05:19,240 Speaker 1: parts of the business. Money is obviously the most important 98 00:05:19,240 --> 00:05:21,360 Speaker 1: thing in this dispute, but there are all these other 99 00:05:21,480 --> 00:05:24,000 Speaker 1: factors that are kind of more systemic. 100 00:05:24,600 --> 00:05:27,080 Speaker 2: So why has money become such a big problem. Is 101 00:05:27,120 --> 00:05:30,000 Speaker 2: it that shows just aren't as profitable as they once were. 102 00:05:30,640 --> 00:05:33,320 Speaker 1: Well, the film and television industry, and in particular the 103 00:05:33,360 --> 00:05:38,920 Speaker 1: television industry, is going through sort of a massive generational 104 00:05:39,120 --> 00:05:44,960 Speaker 1: shift where for the past many decades, TV meant channels 105 00:05:45,000 --> 00:05:49,359 Speaker 1: delivered via cable and satellite providers that were live and 106 00:05:49,400 --> 00:05:51,680 Speaker 1: that all had ads, and it was a system that 107 00:05:51,760 --> 00:05:53,720 Speaker 1: grew over time. Obviously, we went from having a couple 108 00:05:53,720 --> 00:05:56,480 Speaker 1: of broadcast networks having this full cable system, but it 109 00:05:56,520 --> 00:06:01,720 Speaker 1: was still TV and streaming as upset that business model. 110 00:06:01,720 --> 00:06:05,040 Speaker 1: You know, Cable TV was hugely profitable for all these 111 00:06:05,080 --> 00:06:07,400 Speaker 1: media companies, and it was very lucrative as a result 112 00:06:07,480 --> 00:06:10,960 Speaker 1: for many writers because you had a show that started 113 00:06:11,000 --> 00:06:13,400 Speaker 1: on CBS or NBC, and then if you had the 114 00:06:13,480 --> 00:06:16,120 Speaker 1: right show, it got syndicated, and there were all sorts 115 00:06:16,160 --> 00:06:18,760 Speaker 1: of protections in place, and just streaming has upset many 116 00:06:18,760 --> 00:06:20,919 Speaker 1: of those conventions. Now there's more shows being made than 117 00:06:20,960 --> 00:06:23,839 Speaker 1: ever before. You know, there are more jobs, more people working. 118 00:06:24,320 --> 00:06:26,279 Speaker 1: The paydays for people at the top can still be 119 00:06:26,320 --> 00:06:29,120 Speaker 1: incredibly lucrative, and so that seems like a very good thing. 120 00:06:29,120 --> 00:06:32,560 Speaker 1: It seems like people wouldn't be upset. But because cable 121 00:06:32,600 --> 00:06:35,599 Speaker 1: TV is collapsing, you have a lot of pressure on 122 00:06:35,720 --> 00:06:38,240 Speaker 1: costs in some of these places where folks are getting 123 00:06:38,279 --> 00:06:41,160 Speaker 1: paid a little bit less because the conventions of streaming 124 00:06:41,200 --> 00:06:44,000 Speaker 1: are different. There's more inequality, more haves and have nots to. 125 00:06:44,040 --> 00:06:46,240 Speaker 1: People at the top are still getting paid quite a bit, 126 00:06:46,279 --> 00:06:48,200 Speaker 1: but the protections for the people in the middle and 127 00:06:48,240 --> 00:06:50,560 Speaker 1: lower classes are not the same. And also we're just 128 00:06:50,600 --> 00:06:52,720 Speaker 1: we're sort of in the middle of this transition, and 129 00:06:52,760 --> 00:06:55,839 Speaker 1: so there are folks who are upset and feel that 130 00:06:55,839 --> 00:06:58,480 Speaker 1: they're not getting paid enough and they want certain protections. 131 00:06:58,600 --> 00:07:01,240 Speaker 1: But it really boils down to like streaming has changed 132 00:07:01,240 --> 00:07:04,120 Speaker 1: the economics of the business, and so the unions are 133 00:07:04,120 --> 00:07:06,359 Speaker 1: just trying to make sure that they capture enough of 134 00:07:06,400 --> 00:07:07,040 Speaker 1: that upside. 135 00:07:08,040 --> 00:07:10,480 Speaker 2: And one of the results of these cost pressures that 136 00:07:10,560 --> 00:07:14,080 Speaker 2: you write about is something kind of unexpected, and that's 137 00:07:14,360 --> 00:07:19,240 Speaker 2: this concern among the writers that artificial intelligence is more 138 00:07:19,240 --> 00:07:20,480 Speaker 2: and more coming for their jobs. 139 00:07:21,440 --> 00:07:24,360 Speaker 1: Yeah. I mean, that was not a subject that I 140 00:07:24,360 --> 00:07:27,840 Speaker 1: think either studios or writers or actors anticipated would be 141 00:07:27,920 --> 00:07:30,520 Speaker 1: a major part of this labor dispute six months ago. 142 00:07:30,840 --> 00:07:33,400 Speaker 1: But much as we as a society have started talking 143 00:07:33,400 --> 00:07:36,559 Speaker 1: about artificial intelligence a lot more, many industries have started 144 00:07:36,560 --> 00:07:38,840 Speaker 1: talking about it, it has come to Hollywood as well, and 145 00:07:38,880 --> 00:07:42,440 Speaker 1: it's really an existential question for a lot of these folks. 146 00:07:42,440 --> 00:07:42,640 Speaker 4: You know. 147 00:07:42,760 --> 00:07:45,080 Speaker 1: I think it's easy for some of us to say, oh, well, 148 00:07:45,080 --> 00:07:47,520 Speaker 1: of course you're going to like automate a manufacturing job 149 00:07:47,560 --> 00:07:49,520 Speaker 1: in a factory. But when it's like, oh, you're going 150 00:07:49,560 --> 00:07:53,080 Speaker 1: to replace a writer or an actor with a computer 151 00:07:53,160 --> 00:07:55,520 Speaker 1: algorithm or a large language model, and all of a sudden, 152 00:07:55,600 --> 00:07:57,880 Speaker 1: feels different. It's like a high skilled job, and so 153 00:07:58,000 --> 00:08:01,120 Speaker 1: lawyers and journalists and everybody freaks out. But you know, 154 00:08:01,160 --> 00:08:04,360 Speaker 1: I think some of the concerns over artificial intelligence are 155 00:08:04,400 --> 00:08:06,720 Speaker 1: probably a little overblown or at least premature. You know, 156 00:08:06,760 --> 00:08:09,280 Speaker 1: nobody thinks that you're going to have a chat shept 157 00:08:09,840 --> 00:08:12,520 Speaker 1: write a script right now, right Like, no studio chief 158 00:08:12,560 --> 00:08:14,400 Speaker 1: or executive that I talk to says that they're even 159 00:08:14,440 --> 00:08:18,760 Speaker 1: contemplating that. But we are already starting to see parts 160 00:08:18,920 --> 00:08:22,760 Speaker 1: of the production ecosystem where AI is being used, and 161 00:08:22,760 --> 00:08:25,080 Speaker 1: that's very scary for people and they want protections against it, 162 00:08:25,120 --> 00:08:26,440 Speaker 1: which I think is totally rational. 163 00:08:27,000 --> 00:08:29,240 Speaker 2: So what do the writers tell you about what their 164 00:08:29,280 --> 00:08:31,680 Speaker 2: concerns are. If no one really thinks that, like you say, 165 00:08:31,760 --> 00:08:33,959 Speaker 2: chat GBT is going to write a script, what do 166 00:08:34,000 --> 00:08:34,439 Speaker 2: they fear? 167 00:08:35,000 --> 00:08:37,600 Speaker 1: Well, I think there are some writers who fear that, 168 00:08:37,800 --> 00:08:39,760 Speaker 1: or at least think you know, we were talking about 169 00:08:39,760 --> 00:08:41,720 Speaker 1: the minimum number of writers in a writer's room. There's 170 00:08:41,720 --> 00:08:44,520 Speaker 1: a concern that if you can have chat shept come 171 00:08:44,600 --> 00:08:46,560 Speaker 1: up with an idea or work on certain things, maybe 172 00:08:46,559 --> 00:08:48,400 Speaker 1: the number of writers in the room goes from six 173 00:08:48,480 --> 00:08:51,800 Speaker 1: to four. There is concern that if studios use chat 174 00:08:51,920 --> 00:08:54,400 Speaker 1: GPT to come up with an idea, maybe not write 175 00:08:54,480 --> 00:08:57,079 Speaker 1: the thing, but like come up with basically a crappy 176 00:08:57,120 --> 00:09:00,600 Speaker 1: first draft. Writers often get paid less when something is 177 00:09:00,640 --> 00:09:03,560 Speaker 1: adapted as opposed to original, and so they would get 178 00:09:03,559 --> 00:09:05,920 Speaker 1: paid less if you use chat GPT to do that 179 00:09:06,320 --> 00:09:09,760 Speaker 1: there are ways in which it is something of a threat. 180 00:09:09,840 --> 00:09:12,960 Speaker 1: I just don't think that it's going to fully replace them. 181 00:09:13,400 --> 00:09:15,280 Speaker 1: And the other one to keep in mind, of course, 182 00:09:15,840 --> 00:09:20,079 Speaker 1: is you know, these models learn how to write or 183 00:09:20,200 --> 00:09:23,000 Speaker 1: spit out images because they get trained on things, and 184 00:09:23,040 --> 00:09:25,200 Speaker 1: so they can get trained on a bunch of scripts. 185 00:09:25,200 --> 00:09:27,080 Speaker 1: If they don't get trained on scripts, they don't know 186 00:09:27,080 --> 00:09:29,160 Speaker 1: how to write a script. And so writers want to 187 00:09:29,200 --> 00:09:32,240 Speaker 1: make sure. We're asking studios to sort of protect this IP. 188 00:09:32,400 --> 00:09:34,920 Speaker 1: Now that's tricky because in most cases writers don't own 189 00:09:35,040 --> 00:09:37,520 Speaker 1: the script. The studio owns the script, and so one 190 00:09:37,559 --> 00:09:39,800 Speaker 1: of the things that they have to negotiate, and I 191 00:09:39,840 --> 00:09:42,440 Speaker 1: think they should be aligned on this is the studios 192 00:09:42,520 --> 00:09:46,000 Speaker 1: want to be sure that these companies are paying them 193 00:09:46,120 --> 00:09:49,000 Speaker 1: or licensing them so that models don't get trained on 194 00:09:49,040 --> 00:09:51,360 Speaker 1: all these scripts for free and know one benefits from it. 195 00:09:51,920 --> 00:09:54,400 Speaker 2: Even though these models aren't being used right now to 196 00:09:54,520 --> 00:09:58,240 Speaker 2: write scripts, you do write that Hollywood does use AI 197 00:09:58,600 --> 00:09:59,959 Speaker 2: in a whole bunch of different ways. 198 00:10:00,800 --> 00:10:03,880 Speaker 1: The primary ways that AI is being used right now, 199 00:10:04,320 --> 00:10:08,200 Speaker 1: I would say relate to kind of post production, which 200 00:10:08,240 --> 00:10:11,440 Speaker 1: is what happens after you're on set and shoot the project, 201 00:10:11,840 --> 00:10:15,880 Speaker 1: so you can use AI to you know, affect someone 202 00:10:16,120 --> 00:10:19,040 Speaker 1: the way someone's mouth moves or speech. So for example, 203 00:10:19,240 --> 00:10:22,199 Speaker 1: you know, I interviewed a director who also co founded 204 00:10:22,240 --> 00:10:25,640 Speaker 1: an AI company, and they made a movie where they 205 00:10:25,679 --> 00:10:27,360 Speaker 1: needed to do reshoots, and one of the things that 206 00:10:27,400 --> 00:10:28,920 Speaker 1: they wanted to do was they wanted the movie to 207 00:10:28,920 --> 00:10:31,120 Speaker 1: get a PG thirteen rating instead of an R rating, 208 00:10:31,160 --> 00:10:32,640 Speaker 1: and they used the F word too much in it, 209 00:10:32,920 --> 00:10:35,880 Speaker 1: so they went back in and using AI changed a 210 00:10:35,920 --> 00:10:39,200 Speaker 1: bunch of the F word into a different, more polite 211 00:10:39,320 --> 00:10:40,880 Speaker 1: F word. I'm not sure I'm allowed to curse on 212 00:10:40,880 --> 00:10:42,679 Speaker 1: this podcast, so I'm not going to use the difference, 213 00:10:43,200 --> 00:10:46,040 Speaker 1: and that made them go from an ART rating to 214 00:10:46,080 --> 00:10:49,400 Speaker 1: a PG thirteen rating, and the reshoots in general, using 215 00:10:49,480 --> 00:10:51,240 Speaker 1: AI to do it save them a bunch of money 216 00:10:51,240 --> 00:10:52,840 Speaker 1: because maybe you don't have to go back to set 217 00:10:52,920 --> 00:10:55,400 Speaker 1: if you have captured someone's performance in one place and 218 00:10:55,400 --> 00:10:58,240 Speaker 1: can move them or change what they're saying. There's I 219 00:10:58,240 --> 00:11:01,319 Speaker 1: think some optimism, but also some concern in terms of 220 00:11:01,360 --> 00:11:03,680 Speaker 1: job replacement, that it could be used to replace a 221 00:11:03,679 --> 00:11:05,880 Speaker 1: lot of dubbing. For example, when you have voice actors 222 00:11:05,920 --> 00:11:09,640 Speaker 1: come in and perform a project or perform an actor's 223 00:11:09,600 --> 00:11:12,240 Speaker 1: dialogue in another language. That's something where the AI is 224 00:11:12,240 --> 00:11:13,880 Speaker 1: maybe not quite good enough to do it yet, but 225 00:11:13,920 --> 00:11:16,000 Speaker 1: they're definitely testing it out and seeing if we can 226 00:11:16,040 --> 00:11:16,440 Speaker 1: get there. 227 00:11:18,040 --> 00:11:20,840 Speaker 2: But you also write just about that that they're now 228 00:11:20,880 --> 00:11:23,000 Speaker 2: able to make it look like the lips of the 229 00:11:23,040 --> 00:11:25,800 Speaker 2: actors are actually speaking that language. Yeah. 230 00:11:25,800 --> 00:11:28,719 Speaker 1: Well, one of the problems with dubbing is that the 231 00:11:28,760 --> 00:11:32,160 Speaker 1: movement of the lips do not tend to match the words, 232 00:11:32,640 --> 00:11:36,280 Speaker 1: and so at least these AI companies say they can 233 00:11:36,320 --> 00:11:39,920 Speaker 1: make the lips more accurately match the words. I haven't 234 00:11:40,000 --> 00:11:42,160 Speaker 1: seen it happen in a bunch of cases, and my 235 00:11:42,240 --> 00:11:45,600 Speaker 1: guess is that it's still imperfect, but I could see 236 00:11:45,600 --> 00:11:48,200 Speaker 1: a world in which they can make those match and 237 00:11:48,240 --> 00:11:48,920 Speaker 1: sync up better. 238 00:11:50,440 --> 00:12:02,760 Speaker 2: After the break? Why actors are so afraid of AI? So, Lucas, 239 00:12:02,800 --> 00:12:05,679 Speaker 2: we've most have been talking about the writers, but as 240 00:12:05,720 --> 00:12:08,640 Speaker 2: you said, at the beginning, people didn't expect the actors 241 00:12:08,679 --> 00:12:10,839 Speaker 2: to join in. How has that changed the nature of 242 00:12:10,880 --> 00:12:11,280 Speaker 2: the strike. 243 00:12:11,880 --> 00:12:14,920 Speaker 1: Pu's made it a lot louder, that's for sure. The actors' 244 00:12:15,000 --> 00:12:18,160 Speaker 1: union is much larger than the writers' union. They are 245 00:12:18,280 --> 00:12:20,960 Speaker 1: all performers, and so they are you know, there were 246 00:12:20,800 --> 00:12:23,520 Speaker 1: the writers were already on the picket lines outside of 247 00:12:23,520 --> 00:12:28,559 Speaker 1: studios every day, protesting, marching, chanting, and now you've got 248 00:12:28,920 --> 00:12:31,800 Speaker 1: hundreds thousands of actors who've joined them in Los Angeles 249 00:12:31,880 --> 00:12:34,760 Speaker 1: and New York. Also, actors obviously have a very big following, 250 00:12:34,800 --> 00:12:36,640 Speaker 1: and so they can bring more public attention to it 251 00:12:37,040 --> 00:12:39,320 Speaker 1: as far as the business, as far as what people see. 252 00:12:39,679 --> 00:12:43,319 Speaker 1: I mean, it means actors who are striking cannot promote projects, 253 00:12:43,360 --> 00:12:45,880 Speaker 1: and so you have movies come out that actors cannot. 254 00:12:46,000 --> 00:12:47,920 Speaker 1: You're not going to go on the morning show, they're 255 00:12:47,960 --> 00:12:50,319 Speaker 1: not going to be on social media. It's led studios 256 00:12:50,320 --> 00:12:53,760 Speaker 1: to delay some movies in part because they're at stars 257 00:12:53,800 --> 00:12:55,840 Speaker 1: can't promote it, or in some cases because some of 258 00:12:55,880 --> 00:12:58,280 Speaker 1: the work on it wasn't done. You know, the writer's work, 259 00:12:58,520 --> 00:13:01,640 Speaker 1: especially on movies is frontloaded the beginning, but the actors 260 00:13:01,679 --> 00:13:03,400 Speaker 1: are there in the middle of production and then also 261 00:13:03,559 --> 00:13:06,800 Speaker 1: often in post production doing something called adr different things 262 00:13:06,800 --> 00:13:08,520 Speaker 1: to kind of clean up some of the speech in 263 00:13:08,600 --> 00:13:10,520 Speaker 1: it in other aspects of the project. And so the 264 00:13:10,520 --> 00:13:12,800 Speaker 1: actors strike has had i'd say i will have a 265 00:13:12,840 --> 00:13:15,200 Speaker 1: more immediate impact on what gets released. 266 00:13:16,000 --> 00:13:19,920 Speaker 2: And the actors too have voiced their own concerns about 267 00:13:20,200 --> 00:13:23,920 Speaker 2: AI and how their own likenesses could be used without 268 00:13:23,960 --> 00:13:25,360 Speaker 2: them participating. 269 00:13:26,000 --> 00:13:30,640 Speaker 1: Yeah, because studios want to and many already do this 270 00:13:30,679 --> 00:13:33,040 Speaker 1: thing where they like, they kind of scan an actor, 271 00:13:33,400 --> 00:13:35,800 Speaker 1: so they essentially have a digital replica of them that 272 00:13:35,840 --> 00:13:38,040 Speaker 1: they can use. You know, Let's say the actor dies 273 00:13:38,120 --> 00:13:40,280 Speaker 1: during the production of a movie, as Paul Walker did 274 00:13:40,320 --> 00:13:42,199 Speaker 1: during one of the Fast and Furious movies, they can, 275 00:13:42,320 --> 00:13:44,040 Speaker 1: you know, find a way to replicate them. When that 276 00:13:44,080 --> 00:13:46,960 Speaker 1: happened with Paul Walker, Universal had to use Paul Walker's 277 00:13:46,960 --> 00:13:50,160 Speaker 1: brother as like a virtual stand in for him. Studios 278 00:13:50,200 --> 00:13:53,319 Speaker 1: already use some of this technology to sort of adjust ages. 279 00:13:53,360 --> 00:13:55,760 Speaker 1: You know, in the new Indiana Jones movie Harrison Ford, 280 00:13:56,080 --> 00:13:57,520 Speaker 1: they make him look younger. 281 00:13:57,880 --> 00:14:02,440 Speaker 3: Methodology use footage me from forty years ago that was 282 00:14:02,480 --> 00:14:05,920 Speaker 3: in the vaults of Lucasfilm. 283 00:14:06,200 --> 00:14:08,119 Speaker 2: It's very very effective. 284 00:14:09,040 --> 00:14:10,840 Speaker 1: There's a movie coming out next year with Tom Hanks 285 00:14:10,840 --> 00:14:13,160 Speaker 1: where they make them look both older and younger. Now 286 00:14:13,240 --> 00:14:15,320 Speaker 1: that all happens with the actors consent, and that's one 287 00:14:15,320 --> 00:14:17,280 Speaker 1: of the big things that the actors are concerned about 288 00:14:17,520 --> 00:14:20,520 Speaker 1: is they're not opposed to the use of artificial intelligence. 289 00:14:20,560 --> 00:14:22,760 Speaker 1: They just want to make sure that studios ask for 290 00:14:22,760 --> 00:14:25,880 Speaker 1: their consent and compensate them when they are used, and 291 00:14:26,000 --> 00:14:29,600 Speaker 1: there are some concerns about how the studios might sort 292 00:14:29,640 --> 00:14:33,360 Speaker 1: of alter their performance or alter what they say, or 293 00:14:34,160 --> 00:14:36,840 Speaker 1: use generative AI, in which case maybe they'd use a 294 00:14:36,840 --> 00:14:39,960 Speaker 1: bunch of actress performances to create like a synthetic character, 295 00:14:40,080 --> 00:14:44,000 Speaker 1: like someone who's purely virtual but based on someone else's being. 296 00:14:45,080 --> 00:14:46,680 Speaker 2: I got to pose you for a second and ask 297 00:14:46,760 --> 00:14:50,200 Speaker 2: about this scanning of actors. So if you're in a 298 00:14:50,200 --> 00:14:52,600 Speaker 2: movie now, they actually take a scan of your body 299 00:14:52,760 --> 00:14:53,520 Speaker 2: to recreate it. 300 00:14:54,080 --> 00:14:56,600 Speaker 1: My understanding is that a lot of studios with certain 301 00:14:56,600 --> 00:14:59,960 Speaker 1: projects will basically take a digital scan of an actor 302 00:15:00,080 --> 00:15:02,080 Speaker 1: so that they sort of have that in the bank 303 00:15:02,240 --> 00:15:04,160 Speaker 1: that they can use because you you know, think about 304 00:15:04,760 --> 00:15:07,480 Speaker 1: how much CGI is already used. You might want to 305 00:15:07,520 --> 00:15:10,760 Speaker 1: slightly adjust someone's body in that frame. 306 00:15:11,480 --> 00:15:15,240 Speaker 2: I guess another aspect too, is that now the actors 307 00:15:15,280 --> 00:15:19,120 Speaker 2: are trying to have these clauses in their contracts about 308 00:15:19,440 --> 00:15:22,800 Speaker 2: how their likenesses can be used in the future. 309 00:15:23,440 --> 00:15:25,320 Speaker 1: Yeah. I mean, look, a lot of people believe that 310 00:15:25,360 --> 00:15:29,280 Speaker 1: there's an existing right to publicity in certain use of name, 311 00:15:29,320 --> 00:15:31,760 Speaker 1: image and likeness, which is a term that we talk 312 00:15:32,040 --> 00:15:34,280 Speaker 1: about a lot and say college sports and those athletes 313 00:15:34,360 --> 00:15:36,960 Speaker 1: right now is that it pertains to video games. But yeah, 314 00:15:37,040 --> 00:15:41,520 Speaker 1: actors are, especially with the proliferation of AI models and tools, 315 00:15:41,680 --> 00:15:45,240 Speaker 1: are very concerned with ensuring that they have the right 316 00:15:45,320 --> 00:15:47,600 Speaker 1: over what they say and what they do in movies. 317 00:15:47,640 --> 00:15:49,720 Speaker 1: You know, there are examples now going back many years. 318 00:15:49,760 --> 00:15:51,720 Speaker 1: I think I heard about one that was like twenty 319 00:15:51,800 --> 00:15:55,520 Speaker 1: years ago where they created a tear an actor's face 320 00:15:55,600 --> 00:15:57,640 Speaker 1: that they where they didn't actually cry during the production, 321 00:15:57,680 --> 00:15:59,600 Speaker 1: and this was like a huge scandal. I mean, these 322 00:15:59,600 --> 00:16:02,640 Speaker 1: are actors. They're very sensitive to how they're portrayed. And obviously, 323 00:16:02,680 --> 00:16:04,800 Speaker 1: in the case of any movie, the directors or the 324 00:16:04,880 --> 00:16:07,600 Speaker 1: ultimate arbiter, but the actor doesn't want them to be 325 00:16:07,640 --> 00:16:10,680 Speaker 1: able to kind of really change their performance in a 326 00:16:10,880 --> 00:16:12,480 Speaker 1: significant way without their approval. 327 00:16:13,040 --> 00:16:15,440 Speaker 2: Yeah, so I guess, like you say, it's all about permissions. 328 00:16:15,480 --> 00:16:17,720 Speaker 2: I think I read recently that James Earl Jones has 329 00:16:17,760 --> 00:16:20,720 Speaker 2: given permission for him to be Darth Vader long after 330 00:16:20,880 --> 00:16:22,040 Speaker 2: he's no longer on the earth. 331 00:16:22,520 --> 00:16:25,360 Speaker 1: Yes, James Earl Jones will forever be Darth Vader. 332 00:16:25,640 --> 00:16:30,080 Speaker 3: You do not get the aligned or in polties. You 333 00:16:30,160 --> 00:16:34,920 Speaker 3: have only begun to discover your power join me and 334 00:16:35,000 --> 00:16:35,760 Speaker 3: I will compete. 335 00:16:36,080 --> 00:16:39,560 Speaker 1: That's an example to me of the upside in AI. Now, 336 00:16:39,560 --> 00:16:42,400 Speaker 1: maybe it's kind of bad because you know, going forward, 337 00:16:42,480 --> 00:16:44,440 Speaker 1: that means that you're not gonna it will limit a 338 00:16:44,520 --> 00:16:46,400 Speaker 1: job for someone else, because you're essentially gonna have a 339 00:16:46,440 --> 00:16:50,200 Speaker 1: dead person in this job forever. But he's known for 340 00:16:50,320 --> 00:16:52,360 Speaker 1: that role. I think people would feel weird if there 341 00:16:52,360 --> 00:16:55,280 Speaker 1: were a different voice in Darth Vader, and you know, 342 00:16:55,360 --> 00:16:57,800 Speaker 1: and that's a lot of money, presumably for him and 343 00:16:57,840 --> 00:16:59,920 Speaker 1: for his family. I will I would be curious how 344 00:17:00,200 --> 00:17:02,800 Speaker 1: it is, because I was actually recently watching as a 345 00:17:02,840 --> 00:17:06,360 Speaker 1: documentary about the basketball player Wilt Chamberlain on Showtime and 346 00:17:06,520 --> 00:17:09,480 Speaker 1: they recreate his voice and have him talk throughout the 347 00:17:09,480 --> 00:17:12,680 Speaker 1: documentary using his voice. And weirdly enough, I know Wilt 348 00:17:12,720 --> 00:17:14,840 Speaker 1: Chamberlain because my dad wrote a book about him, and 349 00:17:15,280 --> 00:17:18,359 Speaker 1: that voice is not what Wilt sounded like. 350 00:17:18,560 --> 00:17:21,760 Speaker 2: My guess is, you have certain preconceptions about me. 351 00:17:23,400 --> 00:17:24,520 Speaker 3: My guess is too. 352 00:17:25,880 --> 00:17:29,639 Speaker 1: That you're wrong, and so I assume that's something that 353 00:17:29,640 --> 00:17:31,280 Speaker 1: they need to keep working on and improve. 354 00:17:32,000 --> 00:17:34,760 Speaker 2: You mentioned this new movie coming out with Tom Hanks 355 00:17:34,840 --> 00:17:37,679 Speaker 2: called Here, and you had written that this is going 356 00:17:37,760 --> 00:17:40,560 Speaker 2: to be a test case for the merits of AI 357 00:17:40,800 --> 00:17:43,920 Speaker 2: technology and movies. Can you tell us more about this movie? 358 00:17:44,320 --> 00:17:47,600 Speaker 1: Yeah, it's directed by Robert Simchis, one of the most 359 00:17:47,760 --> 00:17:50,360 Speaker 1: famous directors in modern Hollywood. He and Tom Hanks worked 360 00:17:50,359 --> 00:17:53,560 Speaker 1: together on the movie Castaway, among others. And it's a 361 00:17:53,600 --> 00:17:59,280 Speaker 1: movie that all takes place in one location over many generations, 362 00:17:59,280 --> 00:18:00,840 Speaker 1: and so you're going to see sort of the same 363 00:18:00,880 --> 00:18:04,080 Speaker 1: performers at a bunch of different ages. And Robert Semechis 364 00:18:04,080 --> 00:18:06,800 Speaker 1: and the company that produced the movie worked with this 365 00:18:06,880 --> 00:18:11,920 Speaker 1: company called Metaphysic to essentially dage and age up Tom 366 00:18:11,960 --> 00:18:15,000 Speaker 1: Hanks in it. And Metaphysic is a pretty interesting company 367 00:18:15,000 --> 00:18:17,479 Speaker 1: that sort of started in a lot of ways with 368 00:18:17,600 --> 00:18:20,240 Speaker 1: this deep fake of the actor Tom Cruise. You know, 369 00:18:20,320 --> 00:18:23,080 Speaker 1: there's this actor named Miles Fisher who looks a lot 370 00:18:23,119 --> 00:18:27,159 Speaker 1: like Tom Cruise, and he worked with a technologist to 371 00:18:27,280 --> 00:18:30,440 Speaker 1: create a deep fake whereby their sort of rendered Tom 372 00:18:30,520 --> 00:18:34,280 Speaker 1: Cruise's face onto him, and he performed as Tom Cruise 373 00:18:34,320 --> 00:18:36,480 Speaker 1: doing all sorts of things, you know, licking a lollipop, 374 00:18:36,560 --> 00:18:39,160 Speaker 1: just living day to day life. And many of these 375 00:18:39,160 --> 00:18:42,360 Speaker 1: clips went viral on social media and that led them 376 00:18:42,400 --> 00:18:43,960 Speaker 1: to partner with a few other people and build a 377 00:18:44,000 --> 00:18:48,240 Speaker 1: whole company within the world of AI. I think most 378 00:18:48,240 --> 00:18:51,720 Speaker 1: people agree that AI is sort of a tool, you know, 379 00:18:51,840 --> 00:18:54,880 Speaker 1: not a great replacement. But there are some people who 380 00:18:54,920 --> 00:18:58,240 Speaker 1: think that it's going to make adjustments to film and 381 00:18:58,280 --> 00:19:01,479 Speaker 1: television and society sort of on the margins or in 382 00:19:01,520 --> 00:19:04,760 Speaker 1: ways that eventually we will deem sort of imperceptible. You know, 383 00:19:04,800 --> 00:19:07,959 Speaker 1: we don't like think necessarily about how much CGI is 384 00:19:08,000 --> 00:19:10,520 Speaker 1: in every movie. There are other people who think that 385 00:19:10,600 --> 00:19:12,920 Speaker 1: AI is going to change absolutely everything, and I would 386 00:19:12,920 --> 00:19:15,600 Speaker 1: say metaphysic. At least one of the CEO of it, 387 00:19:15,680 --> 00:19:18,560 Speaker 1: Tom Graham, falls into that camp. He told me that 388 00:19:18,640 --> 00:19:22,440 Speaker 1: in ten years, all photo and video will be AI generated. 389 00:19:22,440 --> 00:19:25,480 Speaker 1: Now I'm personally quite skeptical of that, but you know, 390 00:19:25,520 --> 00:19:27,200 Speaker 1: you got to give him credit for being a true believer. 391 00:19:28,359 --> 00:19:31,520 Speaker 2: When we come back, if this strike keeps going, will 392 00:19:31,560 --> 00:19:43,480 Speaker 2: there be anything new to watch? Our interns went out 393 00:19:43,480 --> 00:19:45,760 Speaker 2: and asked people in New York City how they'd feel 394 00:19:45,800 --> 00:19:48,600 Speaker 2: if an AI bot was writing the script to their 395 00:19:48,640 --> 00:19:51,639 Speaker 2: favorite show. I would be open to that. 396 00:19:51,760 --> 00:19:54,520 Speaker 4: I think it would make it more creative, It would 397 00:19:54,520 --> 00:19:57,120 Speaker 4: put a spin that most people Publab would just naturally 398 00:19:57,119 --> 00:19:57,520 Speaker 4: think of. 399 00:19:58,400 --> 00:20:02,359 Speaker 3: No, I'm real scared about that really scared about that. 400 00:20:02,600 --> 00:20:03,640 Speaker 2: No, no way, no way. 401 00:20:03,880 --> 00:20:06,160 Speaker 3: Humans are so creative and diverse. 402 00:20:06,600 --> 00:20:08,679 Speaker 5: I would still need to know what they think or 403 00:20:08,720 --> 00:20:11,200 Speaker 5: how they see something, you know, how they see other 404 00:20:11,280 --> 00:20:13,120 Speaker 5: humans interact with each other on screen. 405 00:20:13,640 --> 00:20:15,680 Speaker 2: That will be a game changer for just like the 406 00:20:16,040 --> 00:20:16,959 Speaker 2: industry in general. 407 00:20:17,040 --> 00:20:19,160 Speaker 1: I think everybody would just look at it differently. 408 00:20:19,200 --> 00:20:20,000 Speaker 2: I guess I think. 409 00:20:19,880 --> 00:20:21,359 Speaker 3: That it could be a good thing, it could be 410 00:20:21,400 --> 00:20:21,840 Speaker 3: a bad thing. 411 00:20:23,320 --> 00:20:25,960 Speaker 2: So we're now months into this strike. We've got writers, 412 00:20:26,000 --> 00:20:28,800 Speaker 2: we've got actors. You said earlier that no one was 413 00:20:28,840 --> 00:20:32,600 Speaker 2: showing any signs of wanting to compromise. How long do 414 00:20:32,600 --> 00:20:35,080 Speaker 2: you think this goes before we start to see some 415 00:20:35,200 --> 00:20:36,000 Speaker 2: kind of progress. 416 00:20:36,720 --> 00:20:39,760 Speaker 1: I'm sticking with there will be progress in the fall. Normally, 417 00:20:39,800 --> 00:20:41,920 Speaker 1: when you have a labor dispute, you think the side 418 00:20:42,000 --> 00:20:44,000 Speaker 1: sort of want to resolve it as quickly as possible. 419 00:20:44,400 --> 00:20:47,400 Speaker 1: Hollywood fits in this weird bucket where you hear things like, well, 420 00:20:47,440 --> 00:20:49,240 Speaker 1: nobody's going to want to work in August, so they're 421 00:20:49,240 --> 00:20:50,960 Speaker 1: not going to resolve it then, or if they don't 422 00:20:51,000 --> 00:20:53,119 Speaker 1: resolve it in September and October, nobody's gonna want to 423 00:20:53,119 --> 00:20:54,879 Speaker 1: work over the holiday, so it'll kick into next year, 424 00:20:54,920 --> 00:20:57,360 Speaker 1: which is just absurd, but it speaks to the fact 425 00:20:57,400 --> 00:20:59,440 Speaker 1: that one a lot of the members of these unions. 426 00:20:59,480 --> 00:21:01,160 Speaker 1: You either have a very slim number of the people 427 00:21:01,160 --> 00:21:02,720 Speaker 1: at the top who make so much money they don't 428 00:21:02,720 --> 00:21:05,800 Speaker 1: care that much, or you have the large, massive people 429 00:21:05,920 --> 00:21:08,960 Speaker 1: who for the most part have other jobs. Because Hollywood 430 00:21:08,960 --> 00:21:10,639 Speaker 1: has a lot of sort of gig workers, right like, 431 00:21:10,680 --> 00:21:12,359 Speaker 1: you're on set or you have a gig, but then 432 00:21:12,359 --> 00:21:13,880 Speaker 1: you're not for a while, and so you need another 433 00:21:13,920 --> 00:21:16,840 Speaker 1: way to pay the bills. And then these studios, which 434 00:21:17,000 --> 00:21:19,159 Speaker 1: certainly feel the pressure, but a lot of them have 435 00:21:19,200 --> 00:21:20,919 Speaker 1: a bunch of programming stored up. A lot of them 436 00:21:21,000 --> 00:21:24,120 Speaker 1: have contracts with PayTV distributors that mean that they'll get 437 00:21:24,119 --> 00:21:27,879 Speaker 1: paid whether there's new programming or reruns. They have deep libraries. 438 00:21:28,119 --> 00:21:31,760 Speaker 1: So I'm hoping for progress in the fall, just because 439 00:21:31,800 --> 00:21:34,600 Speaker 1: if there's not some progress in the fall, there's not 440 00:21:34,640 --> 00:21:36,560 Speaker 1: going to be a lot to watch next year. You know, 441 00:21:36,600 --> 00:21:39,199 Speaker 1: we're already starting to see the summer movie season for 442 00:21:39,280 --> 00:21:42,199 Speaker 1: next year impacted. There's no shortage of new shows on 443 00:21:42,240 --> 00:21:45,000 Speaker 1: streaming services. But if they can't get back into production 444 00:21:45,040 --> 00:21:47,520 Speaker 1: by the fall, there will be next year. And there 445 00:21:47,560 --> 00:21:49,800 Speaker 1: already isn't going to be you know, a traditional fall 446 00:21:49,920 --> 00:21:52,800 Speaker 1: TV season, so instead you're going to see international shows 447 00:21:52,800 --> 00:21:56,200 Speaker 1: and reruns and longer versions of reality and sports. 448 00:21:56,200 --> 00:21:59,880 Speaker 2: Of course, since the studios are under so many costs 449 00:22:00,000 --> 00:22:03,879 Speaker 2: pressures because they're not as profitable anymore, will they be 450 00:22:04,040 --> 00:22:06,160 Speaker 2: able to meet the demands that the writers want more money? 451 00:22:06,160 --> 00:22:08,000 Speaker 2: Like where would that money come from? 452 00:22:08,200 --> 00:22:10,680 Speaker 1: I think they can definitely meet some of the demands, 453 00:22:10,720 --> 00:22:15,040 Speaker 1: right We're talking about hundreds of millions of dollars across 454 00:22:15,080 --> 00:22:18,200 Speaker 1: many companies that generate billions of dollars in revenue a year. 455 00:22:18,560 --> 00:22:20,800 Speaker 1: It's just a question of how much, right, So, if 456 00:22:21,080 --> 00:22:23,680 Speaker 1: the studios are willing to give a five percent increase 457 00:22:23,680 --> 00:22:26,520 Speaker 1: on something and the writers want an eleven percent increase, 458 00:22:26,720 --> 00:22:28,359 Speaker 1: they're going to have to meet somewhere in the middle. 459 00:22:28,480 --> 00:22:31,040 Speaker 1: But is the middle six? Is it eight? Is it nine? 460 00:22:31,400 --> 00:22:34,040 Speaker 1: Don't know. There are other subjects where I think the 461 00:22:34,119 --> 00:22:36,000 Speaker 1: unions have asked for things that most people I talk 462 00:22:36,080 --> 00:22:38,280 Speaker 1: to an entertainment agree just aren't going to happen right, 463 00:22:38,359 --> 00:22:41,399 Speaker 1: Like this, the actors have asked for a two percent 464 00:22:41,600 --> 00:22:45,880 Speaker 1: share of all streaming revenue because they want to be 465 00:22:46,440 --> 00:22:49,679 Speaker 1: paid in success. That's just not going to happen that 466 00:22:49,760 --> 00:22:52,000 Speaker 1: like that. That's never happened in Hollywood, and it doesn't 467 00:22:52,000 --> 00:22:54,399 Speaker 1: really make a lot of sense. But is there some 468 00:22:54,640 --> 00:22:57,720 Speaker 1: way that the studios can agree to give the talent, 469 00:22:57,880 --> 00:23:01,800 Speaker 1: you know, more profit, a larger share of quote unquote success. 470 00:23:02,440 --> 00:23:06,000 Speaker 2: You mentioned that actors aren't able to promote their projects. 471 00:23:06,119 --> 00:23:08,600 Speaker 2: We have two huge projects out now, you know, the 472 00:23:08,600 --> 00:23:11,840 Speaker 2: Barbie movie and the Oppenheimer movie. Have they been affected 473 00:23:12,119 --> 00:23:14,800 Speaker 2: in the publicity? Obviously the box office numbers for those 474 00:23:14,840 --> 00:23:15,840 Speaker 2: movies are off the charts. 475 00:23:16,480 --> 00:23:16,800 Speaker 3: Yeah. 476 00:23:16,880 --> 00:23:19,480 Speaker 1: I mean the good news for those projects is that 477 00:23:19,680 --> 00:23:23,600 Speaker 1: the actors strike only started like a week before those 478 00:23:23,640 --> 00:23:26,359 Speaker 1: movies came out. So in the case of Barbie in particular, 479 00:23:26,800 --> 00:23:30,800 Speaker 1: that was a month's long marketing assault on everyone that 480 00:23:30,880 --> 00:23:33,720 Speaker 1: was very effective. And so did it hurt a little 481 00:23:33,720 --> 00:23:36,200 Speaker 1: bit maybe at the end that you couldn't have Margot 482 00:23:36,240 --> 00:23:38,440 Speaker 1: Robbiat there, or that with Oppenheimer all of a sudden, 483 00:23:38,520 --> 00:23:40,120 Speaker 1: all the stars and it had to go away. Sure, 484 00:23:40,160 --> 00:23:42,400 Speaker 1: But I don't think it impacted them because they had 485 00:23:42,440 --> 00:23:44,920 Speaker 1: done most of the marketing already and there was just 486 00:23:44,920 --> 00:23:47,280 Speaker 1: sort of this ground fell of support where it would 487 00:23:47,280 --> 00:23:50,280 Speaker 1: impact it. For example, there's a you know, a movie 488 00:23:50,320 --> 00:23:52,880 Speaker 1: coming out later this year, The Dune to the sequel 489 00:23:52,920 --> 00:23:54,840 Speaker 1: to the movie from a couple of years ago. You know, 490 00:23:54,880 --> 00:23:57,720 Speaker 1: that's got Timothy Shallomey, it's got Zendeya. You'd really want 491 00:23:57,760 --> 00:23:59,720 Speaker 1: them on the red carpet. You'd want clips of them 492 00:24:00,240 --> 00:24:03,280 Speaker 1: charming going viral on social media. That's not going to happen, 493 00:24:03,280 --> 00:24:05,840 Speaker 1: and so Warner Brothers has to decide how much does 494 00:24:05,840 --> 00:24:08,240 Speaker 1: that matter? Do we still want to release this project 495 00:24:08,359 --> 00:24:08,560 Speaker 1: or not. 496 00:24:09,480 --> 00:24:12,720 Speaker 2: When we last talked about TV in the fall, you 497 00:24:12,760 --> 00:24:14,920 Speaker 2: had said that one of the great things about streaming 498 00:24:15,200 --> 00:24:19,119 Speaker 2: is that it showcases so many foreign shows that people 499 00:24:19,320 --> 00:24:21,240 Speaker 2: weren't able to watch before, and you were really excited 500 00:24:21,240 --> 00:24:23,720 Speaker 2: about so many South Korean shows. Do you think that 501 00:24:23,800 --> 00:24:26,240 Speaker 2: this is going to be an opportunity for people to 502 00:24:26,280 --> 00:24:28,760 Speaker 2: be introduced to all kinds of shows they otherwise wouldn't 503 00:24:28,760 --> 00:24:30,520 Speaker 2: have watched because there's nothing else to see. 504 00:24:30,920 --> 00:24:33,399 Speaker 1: It's a subject of frequent conversation, I would say, at 505 00:24:33,480 --> 00:24:36,920 Speaker 1: least in our newsroom, it's definitely possible. You've even seen 506 00:24:37,359 --> 00:24:41,400 Speaker 1: some broadcast networks that have shows based on projects from 507 00:24:41,400 --> 00:24:43,919 Speaker 1: other countries that in the fall are bringing those shows 508 00:24:43,920 --> 00:24:46,000 Speaker 1: to the US because they figure, well, if you like this, 509 00:24:46,280 --> 00:24:48,919 Speaker 1: you can see this other thing that's based on I 510 00:24:48,920 --> 00:24:51,280 Speaker 1: don't know how much of that you'll see. I think 511 00:24:51,280 --> 00:24:52,879 Speaker 1: it's one of the reasons why Netflix is in a 512 00:24:52,880 --> 00:24:55,120 Speaker 1: slightly better position than most because they've invested so much. 513 00:24:55,119 --> 00:24:58,040 Speaker 1: They have a pipeline. But getting projects up and running 514 00:24:58,119 --> 00:25:00,480 Speaker 1: and then filming them and then releasing them take time. 515 00:25:00,840 --> 00:25:03,840 Speaker 1: So it's not like Disney can just go, Okay, we're 516 00:25:03,880 --> 00:25:05,320 Speaker 1: not going to have movies and TV shows for a 517 00:25:05,359 --> 00:25:07,480 Speaker 1: little bit, so like, let's go to Europe and make 518 00:25:07,520 --> 00:25:10,119 Speaker 1: a bunch of shows. By the time those projects are ready, 519 00:25:10,240 --> 00:25:12,359 Speaker 1: the strike will be over. Maybe it helps tide them 520 00:25:12,359 --> 00:25:14,920 Speaker 1: over a little bit, but it's only so effective. 521 00:25:15,520 --> 00:25:18,679 Speaker 2: Some actors, notably Mark Ruffalo, have been coming out and 522 00:25:18,760 --> 00:25:21,400 Speaker 2: saying we should use this as an opportunity to kind 523 00:25:21,440 --> 00:25:24,560 Speaker 2: of bust the studio system and go independent. Is that 524 00:25:24,800 --> 00:25:25,680 Speaker 2: a realistic thing. 525 00:25:26,280 --> 00:25:26,399 Speaker 3: No. 526 00:25:26,880 --> 00:25:30,800 Speaker 1: Artists have tried to take the power back many times before. 527 00:25:30,960 --> 00:25:33,920 Speaker 1: It's never really worked. Part of it is because artists 528 00:25:34,000 --> 00:25:36,520 Speaker 1: want to be artists, they don't often want to run companies. 529 00:25:36,560 --> 00:25:38,719 Speaker 1: And part of it is also these studios are sitting 530 00:25:39,040 --> 00:25:42,159 Speaker 1: on massive libraries and amounts of capital, and that just 531 00:25:42,200 --> 00:25:43,919 Speaker 1: gives them a lot of advantages. 532 00:25:45,320 --> 00:25:48,479 Speaker 2: So ultimately, Lucas, when all this is over and everyone 533 00:25:48,520 --> 00:25:51,600 Speaker 2: gets back to work, does it make things better? Like 534 00:25:51,640 --> 00:25:53,960 Speaker 2: for viewers, are we going to have a better viewing 535 00:25:54,080 --> 00:25:55,720 Speaker 2: experience having gone through this. 536 00:25:56,280 --> 00:25:58,920 Speaker 1: I don't know that it impacts the average person all 537 00:25:58,960 --> 00:26:00,720 Speaker 1: that much, which is why it can sometimes be hard 538 00:26:00,720 --> 00:26:03,520 Speaker 1: to get them to care. I would say that if 539 00:26:03,680 --> 00:26:09,000 Speaker 1: it produces a system where there is more incentive to 540 00:26:09,200 --> 00:26:13,520 Speaker 1: be sensitive to cost and quality, that would benefit viewers. 541 00:26:13,520 --> 00:26:15,879 Speaker 1: I think one of the problems in streaming is that 542 00:26:16,520 --> 00:26:20,520 Speaker 1: we don't have as consistent and reliable judgments of what 543 00:26:20,720 --> 00:26:24,200 Speaker 1: is and isn't working. And there's been so much produced 544 00:26:24,600 --> 00:26:27,040 Speaker 1: that I think a lot of what gets made is 545 00:26:27,119 --> 00:26:29,480 Speaker 1: like ten to twenty percent worse than it should be 546 00:26:29,880 --> 00:26:32,440 Speaker 1: if there were there was just a little more care. 547 00:26:32,080 --> 00:26:33,040 Speaker 3: Going into everything. 548 00:26:33,200 --> 00:26:34,160 Speaker 1: But I think that would be good. 549 00:26:34,960 --> 00:26:37,920 Speaker 2: Lucas, thanks for coming on the show, Thanks for having me, 550 00:26:39,000 --> 00:26:40,880 Speaker 2: Thanks for listening to us here at the Big Take. 551 00:26:41,000 --> 00:26:44,360 Speaker 2: It's a daily podcast from Bloomberg and iHeartRadio. For more 552 00:26:44,400 --> 00:26:48,600 Speaker 2: shows from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or 553 00:26:48,640 --> 00:26:51,320 Speaker 2: wherever you listen, and we'd love to hear from you. 554 00:26:51,400 --> 00:26:54,720 Speaker 2: Email us questions or comments to Big Take at Bloomberg 555 00:26:54,760 --> 00:26:58,040 Speaker 2: dot Net. The supervising producer of The Big Take is 556 00:26:58,160 --> 00:27:02,400 Speaker 2: Vicky Bergolina. Our senior producer is Catherine Fink, and they 557 00:27:02,480 --> 00:27:07,680 Speaker 2: also produced this episode with additional production support from Naielli 558 00:27:07,720 --> 00:27:12,720 Speaker 2: Haramio Plata and Isabelle Carey. Philde Garcia is our engineer. 559 00:27:13,080 --> 00:27:16,960 Speaker 2: Our original music was composed by Leosidrin. I'm west Kasova. 560 00:27:17,200 --> 00:27:19,640 Speaker 2: We'll be back tomorrow with another Big Take