Could Artificial Intelligence make Hollywood a ghost town? Reality TV, strikes and cyborgs, OH MY! Hollywood may be heading toward AI-generated content, and we all may already be living in a cyborg state … so was this episode AI-generated? This is part two of a two-part episode. Be sure to go back and listen to Part 1: Will the Hollywood Strike be an Extended Thing? Featured Guests David Luna, Ph.D. – UCF College of Business Robin Cowie – Phygital Experience Creator & Feature Filmmaker Cassandra “Cassi” Willard, J.D. – Instructor, Department of Management, UCF College of Business & Program Director, Blackstone LaunchPad at UCF Ray Eddy, Ph.D – Lecturer, Integrated Business, UCF College of Business Episode Transcription Actor Bryan Cranston speaking at a SAG-AFTRA strike rally in Times Square in New York City on July 25, 2023: Uh, we’ve got a message for Mr. Iger. I know, sir, that you look through things through a different lens. We don’t expect you to understand who we are, but we ask you to hear us, and beyond that, to listen to us when we tell you we will not be having our jobs taken away and given to robots. Paul Jarley: The real issue, Bryan, is whether the AI listens and understands us. This show is all about separating hype from fundamental change. I’m Paul Jarley, Dean of the College of Business here at UCF. I’ve got lots of questions. To get answers, I’m talking to people with interesting insights into the future of business. Have you ever wondered, is this really a thing? Onto our show. In our last episode, we explored the current writers and actor’s strikes and how the parties might come to some agreement to get everyone back to work and spare us a lot of new reality TV. A key part of that analysis involved the limitations of AI today. It can’t produce a final product without humans. That, of course, is today. AI technology is changing rapidly and its impact on the industry is likely to grow over time. In today’s episode, we look at the long-term implications of AI in Hollywood and ask, could AI depopulate the industry in 10 years? In other words, could it eliminate or substantially reduce the number of people working in Hollywood, especially the writers and actors. To shed light on these topics, I returned to the discussion I had with my group of UCF experts. To just remind everyone, Cassandra Willard is an instructor and program director in our Center for Entrepreneurship and a practicing attorney with extensive experience in entertainment law. Ray Eddy is a lecturer in our Integrated Business department with an interest in understanding the customer experience. Ray is not just an academic, he has worked as a stunt man, started his own production company and written, directed and starred in several performances. David Luna is a professor in our Marketing department. He is currently working on several projects, studying human machine interactions in the context of chatbots, intelligent assistance, and AI. And last but not least is Robin Cowie. Rob is a graduate of our Motion Picture Technology program at UCF. He’s a little hard to summarize, having worked in a variety of positions in the industry from EA Sports, to Nickelodeon, to the Golf Channel, and the Dr. Phillips Center for Performing Arts. Today, he is the President and CTO at Promising People, a company that produces training and placement services for people who have been incarcerated. But, you probably know Rob best from his work as co-producer on “The Blair Witch Project.” Listen in. David, if AI is going to depopulate Hollywood, it’s going to have to produce movies that are more profitable than the ones being created today. What do you see as the main issues here? David Luna: There are different kinds of costs involved in making a movie, right? One of them would be the creative part, and from what has transpired from the conversations with the writer’s union, it seems like it’s a fairly small part of the process. And the other part is the production cost, right? Which seems to be the larger cost in making movies. So if we think of a commercial success as something as making a profit, you want to minimize one of those two costs. So on the production side, you could think about well, having Harrison Ford play Indiana Jones until the 30th century, for example, through AI. That’s one part of it. Being a professor of marketing, I am also quite sensitive to the issues that stem from how consumers will perceive these products. I have done some work on trust and whether people trust AI interactions. We could think about the fact that people will trust these products less and thereby have more negative attitudes toward them, like them less, go to the movies less. Another thing that we can think about in terms of consumers is the issue of the uncanny valley, which is if AI-generated images or characters are meant to be human beings, and the closer they get to looking like a human being, people get a little antsy about it. So that’s another issue that could bring about negative attitudes, and that would affect the bottom line, obviously, because people won’t go to the movies. Paul Jarley: There’s a lot to unpack in David’s comments there. First, let’s tackle authenticity. So my understanding is voice is the easiest thing for AI to replicate right now. Is that true? Robin Cowie: When we talk about AI, there’s, there’s so many things that we’re talking about. So to narrow it, I think over the last six to nine months, the conversation’s really been about large language models. And large language modules specifically from Open AI, but also Google’s Bard or, you know, some of the older ones from DeepMind, or even the new one that Meta just released called Llama 2. These are all large language models and they’re designed literally to be about language. So I would say the easiest thing for a large language model to process is text, not necessarily audio. But essentially the current premise behind large language models is that essentially it’s about math and it’s about probability. And that pattern recognition is behind everything. And so music especially, you know, we are all very familiar with those patterns, and therefore music comes up a lot because voice synthesis or instrument synthesis or anything like that comes up a lot. It’s maybe one of the easiest patterns to recreate, but I think the real innovation is in, in text right now. Paul Jarley: So where do you think the most powerful application of AI will be in the next few years? In movie making. Robin Cowie: I worked at Electronic Arts. We used AI for a lot of the background elements, a lot of the gaming elements back then. And this is, you know, in the ancient days, four years ago and over the last four years we’ve seen exponential development with using AI just in the gaming space. But I think when I started being obsessed with it four years ago, I thought, “Wow, this is going to be as revolutionary as the iPhone was.” And now there are some people that are saying, this is as revolutionary as fire. I’m probably, currently, at the place of “This is as revolutionary as the steam engine.” But there is no doubt in my mind that every aspect of every kind of human job, every form of creativity, every form of task-oriented work, every single aspect of human interaction is going to be changed by AI. Paul Jarley: Rob is my resident futurist. He’s always the first in line with new innovations. What do you think, Ray? Ray Eddy: The truth is, it’s, it’s this, I could say this is two iterations of this than I can think of in the past. And one is back in the, in the early nineties when CGI became a much bigger thing, “Terminator 2” kind of changed the game in 1991, and that led to “Jurassic Park” in ’93 and then the Lucas making the “Star Wars: Episode I” and it just got more and more and more and actors started thinking, “Well, they’ll never need us anymore because they can recreate.” And in particular, stunt people also felt the same way because, who needs to jump off a building or get lit on fire when you could pretend to do that with CG and it’ll look just as good. The backlash to that has been that there’s a real push towards what we call practical effects, which is actual real effects. A real fire, a real explosion, a real high fall. Because as of right now, you can still tell a difference. Now, the technology will keep advancing. There will be a day when you can’t tell the difference. Just like with deepfake videos, you can’t tell the person is the actually saying those lines or not. As of right now, there’s still, I guess, inertia in the industry to sort of make that decision. You go with the CG version, which is safer, or the real practical version, which might be more expensive. Then again, CG is pretty expensive too. But, but the other iteration I’ve just referred briefly is back in the early 1900’s when animation first appeared, and then, you know, in the 1920’s, Steamboat Willie came along and then Snow White got an honorary Oscar award, and so all of a sudden actors back then were afraid, “Well, they never need actors again, because cartoon characters would never complain about the wages. They’ll never complain about working long hours. They never would complain about the danger” and there was a fear that animation would replace actors. So this is kind of happening, as I see it, the third time now, AI is be the next thing that will take over. The first two times there was a lot of, you know, concern, but it hasn’t led to massive loss in income, or in job opportunities. It sort of has shifted the game a little bit, but it hasn’t eliminated anything. AI, it’s hard to say. I, I still feel the same as what Rob was just saying. I think that’s, there’s a lot to the fact that it will change the game as time moves forward. Paul Jar