How Showtime AI Plans to Reinvent Moviegoing by 2030—And Save Cinema Along the Way

Summary

Podcast Summary: Lead With AI – “How Showtime AI Plans to Reinvent Moviegoing by 2030—And Save Cinema Along the Way”

Release Date: May 20, 2025

In this enlightening episode of Lead With AI, host Dr. Tamara Nall engages in a captivating conversation with Ben Arnon, a media executive, tech investor, and the visionary creator behind Showtime AI. This episode delves deep into how AI is poised to revolutionize the movie theater experience, addressing longstanding inefficiencies and breathing new life into the cinema industry.

Introduction

Dr. Tamara Nall opens the episode by setting the stage for an in-depth discussion on Showtime AI, an innovative platform designed to transform movie theaters through artificial intelligence. She introduces Ben Arnon, highlighting his extensive background in media, entertainment, and technology, which uniquely positions him to spearhead such a transformative project.

Ben Arnon's Background and Inspiration

Ben Arnon shares his rich history in the film industry, mentioning his production work with Universal Pictures and Jersey Films. He emphasizes his passion for cinema and personal experiences as a frequent moviegoer, which fueled his desire to address the disconnect between modern technology and traditional theater operations.

Ben Arnon [02:21]: "Theaters are kind of using these static schedules and pricing in a dynamic world... The vision for Showtime AI really wasn't about just building another app. It was about reimagining the entire movie ecosystem and really saving an industry that I care deeply about."

The Problem with Traditional Movie Theaters

Ben articulates the core problem plaguing movie theaters: outdated operational systems leading to low attendance and underutilized capacities. He cites personal observations of theaters running at merely 15 to 25% capacity outside peak times, underscoring the need for a dynamic solution.

How Showtime AI Transforms Movie Theaters

Showtime AI emerges as the solution to these challenges, offering AI-powered tools that enable:

• Dynamic Scheduling: Adapting showtimes based on real-time demand and community preferences.
• Pricing Optimization: Implementing flexible pricing strategies akin to those used by airlines and hotels to maximize revenue.
• Precision Screen Allocation: Allocating screens efficiently to various movies to ensure optimal utilization.
• Boosting Concession Sales: Enhancing concession strategies through predictive analytics to increase sales.

Ben envisions a future where theaters using Showtime AI could see revenue increases of 23% to 35% within six months, dramatically improving both attendance and profitability.

Technical Deep Dive: The Brain of Showtime AI

Dr. Nall prompts Ben to unveil the intricacies of Showtime AI’s technology. Ben describes the platform as a sophisticated ensemble of AI models working in concert, likening it to a master chess player anticipating multiple moves ahead.

Ben Arnon [07:14]: "What's happening under the hood is really a sophisticated ensemble of AI models that are working in concert. Our demand forecasting layer ingests everything from historical attendance patterns to weather forecasts, social media buzz, and local events."

The system employs reinforcement learning to navigate multiple constraints such as distributor requirements, staffing availability, and physical theater limitations, all while striving to maximize revenue potential. This approach allows Showtime AI to continuously learn and adapt, improving its recommendations with each ticket sold.

Ben Arnon [08:20]: "Think of it as like thousands of micro experiments that are running continuously, each one learning from real-world outcomes and getting smarter with every single ticket that's sold."

Ethical Considerations in AI Implementation

Addressing the critical issue of ethics in AI, Ben emphasizes Showtime AI’s commitment to accessibility and fairness. The platform incorporates guardrails to prevent dynamic pricing from excluding audiences with lower disposable incomes, maintaining affordability windows to ensure inclusivity.

Ben Arnon [08:48]: "We're always going to be putting humans firmly in the loop so that the system makes recommendations that theater managers can override. If a theater manager and then human judgment feels like it should be overridden, then that can happen."

This human-in-the-loop approach ensures that ethical considerations remain paramount, with transparency maintained in how pricing and scheduling decisions are made.

The Vision for 2030: Reinventing Moviegoing

Looking ahead to 2030, Ben paints a vivid picture of a personalized and efficient moviegoing experience powered by Showtime AI. Key features of this future include:

• Personalized Recommendations: Tailored movie suggestions and optimal showtimes based on individual preferences and habits.
• Dynamic Pricing: Flexible pricing models that reward both advanced planning and spontaneity.
• Enhanced Theater Efficiency: Higher theater capacities and better resource allocation leading to a more vibrant and profitable cinema environment.
• Curated Experiences: A blend of the magic of cinema with personalized precision, making each visit a unique and special event.

Ben Arnon [10:33]: "Gone will be the days of scrolling through static showtimes... your entire experience, from ticket purchase to concessions to seating, will feel like it was orchestrated really, just for you."

Personal Moments and Achievements

Ben shares personal accomplishments, including producing the acclaimed film "John Lewis Good Trouble" and the award-winning Audible series "Finding Tamika". He reflects on his journey from producing to developing Showtime AI, highlighting the moment of realization that traditional theater operations could be revolutionized through AI.

Rapid Fire Segment

In a light-hearted rapid-fire segment, Ben shares his insights on various topics:

• Most Overrated Tech Trend: Metaverse real estate – Criticizing the creation of artificial scarcity in digital spaces.

  Ben Arnon [15:52]: "I think creating artificial scarcity in a world of infinite digital possibility sort of misses the point entirely."

• Most Underrated AI Breakthrough: Multimodal reasoning – AI’s ability to process text, images, audio, and data simultaneously, mirroring human cognitive processes.

  Ben Arnon [16:04]: "It's AI that can think across text, images, audio, and data simultaneously... It's how humans naturally process the world."

• One Book Everyone Should Read on the Future: "Subtract: The Untapped Science of Less" by Lighty Klotz – Emphasizing innovation through simplicity.

  Ben Arnon [16:25]: "The most powerful innovations often come from removing complexity rather than adding features."

• Boldest AI Prediction: By 2028, the most valuable business skill will be defining meaningful problems for AI to solve, shifting focus from technical implementation to human integration and imaginative problem-solving.

  Ben Arnon [17:03]: "We're moving from an era where technical implementation was the bottleneck to one where human integration and imagination is the limiting factor."

Call to Action

Ben encourages listeners to conduct a personal experiment: next time planning to see a movie, identify the friction points in the decision-making process and imagine how AI could optimize these variables. For those in the AI space, he advises seeking out traditional industries with static systems that could benefit from AI-driven transformations.

Ben Arnon [17:58]: "Look for those similar disconnects in traditional industries and those places where static systems are trying to serve dynamic human needs. That's where AI can create not just incremental improvements, but these transformative new possibilities."

Conclusion

Dr. Nall wraps up the episode by expressing her admiration for Ben’s journey from their days at Emory University to leading Showtime AI. She underscores the importance of passion and innovation in driving AI advancements that serve both businesses and the broader community.

Dr. Tamara Nall [19:27]: "I'm just so honored that you will come on the podcast and tell all our guests and listeners... your passion for the movie industry. Best wishes and continued success on all of your projects and cannot wait for Showtime AI."

Ben reciprocates the appreciation, acknowledging the podcast’s role in fostering meaningful conversations about AI.

Ben Arnon [19:38]: "This podcast is phenomenal, so keep doing what you're doing. Thanks for all you do."

Dr. Nall concludes by inviting listeners to continue exploring cutting-edge AI innovations in future episodes.

Key Takeaways

• Showtime AI leverages advanced AI models to dynamically optimize movie theater operations, addressing long-standing inefficiencies in scheduling, pricing, and resource allocation.
• Ethical AI Implementation ensures accessibility and fairness, maintaining human oversight to uphold inclusivity in the moviegoing experience.
• Future Vision anticipates a personalized, efficient, and enriched cinema experience by 2030, driven by AI’s ability to understand and adapt to individual preferences.
• Ben Arnon’s Insights highlight the importance of integrating human creativity and problem definition in the evolution of AI applications, predicting a shift in valuable business skills toward thoughtful AI problem-solving.

This episode of Lead With AI offers a comprehensive look into how artificial intelligence can revitalize traditional industries, exemplified by Ben Arnon’s innovative approach to transforming the movie theater landscape with Showtime AI.

Transcript

[Podcast Host]

What if you could run an entire movie theater with nothing but AI and a big idea? No developers, no code, no massive budget, just smart tools, clear vision, and what Ben Arnon calls vibe coding. Today on Lead with AI, I'm joined by Ben Arnon, media executive, tech investor, and the creator of Showtime AI an AI powered platform that's reshaping the way theaters operate and make money. With Showtime AI theaters can now dynamically schedule showtimes, optimize pricing on the fly, allocate screens with precision, and boost concession sales all through AI if you're fascinated by the intersection of entertainment and emerging tech, or want to know how AI is quietly rewriting the future of. Of physical experiences, this episode is for you. Let's dive into the world of a builder reimagining movie theaters from the ground up. Let's get into it.

[Dr. Tamara Nahl]

Welcome to lead with AI I'm Dr. Tamara Nahl. In each episode, we will take you behind the scenes with visionary leaders shaping the future of AI across public and private sectors. Join us as we explore groundbreaking projects and innovations that are transforming industries and making a real impact on people's lives. Let's dive in.

So, hi, everyone. How are you? My name is Dr. Tamara Nall. I'm the host of Lead with AI podcast, and I am very, very excited to have Ben Arnon as our guest today. Ben and I actually go way back to Emory University when we were there together, so I'm just full circle, very, very happy to have you here, Ben, and for.

[Ben Arnon]

Glad to be here, yes.

[Dr. Tamara Nahl]

For people to learn about Showtime AI. But first, before we get started, just tell us a little bit about you, who you are at your core. You know, as I've been speaking to guests, every AI product really starts with a deeper vision. So what was the moment or the problem that you were solving in. And how does your background fit into Showtime A.I.

[Ben Arnon]

Yeah. Well, thanks for inviting me on here, and this is a great podcast. So my background's a mix of media, entertainment, and technology, and I've produced films, and I've worked at places like Universal Pictures and Jersey Films, and I love film and cinema, and I love going to the movie theater. And there's actually a movie theater literally two blocks down the street from me where I live. So over the winter, there's. I live in New York, so it was cold, so I went to a lot of movies this winter. And, you know, in general, I'm always fascinated. I've always kind of been fascinated by the disconnect between technology and traditional industries and, you know, movie Theaters are running on systems that were designed decades ago, and they're operating at oftentimes like 15 to 25% capacity, especially outside of Blockbuster weekends. Like, I was going to a lot of movies over the winter, great movies, but I'd be in the theater with, like, five other people or six other people. And, you know, and so the spark came, you know, around that. I thought to myself, that doesn't really make sense. And so it hit me. Theaters are kind of using these static schedules and pricing in a dynamic. And what's the dynamic world? They're just doing, like, static pricing. But, you know, you have airlines and hotels who have kind of solved this years ago. Right. With, like, advanced yield management. And so the vision for Showtime AI really wasn't about just building another app. It was about reimagining the entire movie ecosystem and really saving an industry that I care deeply about. You know, after Covid and. And streaming, movie theaters are in trouble. So, you know, I think Showtime AI is a solution that can help to bring people back to theaters and help make it make more sense for people to come to theaters.

[Dr. Tamara Nahl]

That's amazing. Now, you have produced some movies and some films, so just tell us about those. I wanted to sneak that in there too.

[Ben Arnon]

Yeah, well, you know, we went to college together in Atlanta, so I'm really proud to have produced John Lewis Good Trouble, about the famed congressman. Yep. I also produced an Audible series called Finding Tamika, which won a Dupont Columbia Award and a Webby Award. So really excited about that. Working on some scripted film and TV content as well, and also a scripted Audible series. So, you know, lots. Lots of exciting things on that front. But, you know, from a moviegoer perspective, I love the theater. I know it's a little bit of a throwback, but. But I love going to the movies and watching the movies in the theater. So, you know, so I did a lot of that over the. Over the winter.

[Dr. Tamara Nahl]

Yeah. Particularly since you live two blocks away from movie theater. I think you're the only person I know that lives that close to movie theater.

[Ben Arnon]

Exactly.

[Dr. Tamara Nahl]

Yeah. So let's talk about. As you were developing Showtime AI, what was the jaw dropping moment when you realized, wow, this changes everything. And talk to us a little bit about Showtime AI.

[Ben Arnon]

I think the jaw dropping moment is what I envision for the future because, you know, it's in development right now. We are, I should mention, we are in conversations with a theater chain about doing a proof of concept and rolling out. But I think in the future, what I envision is, is that Day will come when theater managers see their revenue projections after just like the first optimization cycle. What Showtime AI is doing is transforming movie theaters through innovative artificial intelligence solutions. So AI powered scheduling, dynamic pricing optimization, and audience engagement. And so I can envision a time where a theater manager sees a 23%, a 35% revenue increase within six months and doubling their profits, and then realizing that the system is making recommendations for them based on AI and all the inputs, like everything from demand forecasting to the weather forecast to competition in that area. And when their system makes recommendations that actually seem counterintuitive to seasoned theater managers but actually turn out to be exactly right and end up leading to an increase in revenue, an increase in attendance. And for movie theaters, the more people that they can get in there, the more that they can sell concessions, the concessions where they have really high, you know, high margins. So, so those are some of the things I see in the future that, you know, I think will be that jaw dropping moment.

[Dr. Tamara Nahl]

Okay, so let's break it down a little bit. So let's say we're, we're opening up the hood and we're looking at the brain of Showtime AI. What do we see? What do we find?

[Ben Arnon]

I think you'd find, I think you'd feel like, like you're watching sort of a master chess player thinking like 20 moves ahead. Well, for movie pricing and scheduling, you know, what's happening under the hood is really a sophisticated ensemble of AI models that are working in concert. I kind of call it orchestration. And like our demand forecasting layer, for instance, ingests. This is kind of what I was talking about before. It ingests everything from historical attendance, patterns of historical attendance, to weather forecasts, to social media buzz and even local events. So, you know, then our optimization engine uses reinforcement learning to simultaneously solve for multiple constraints, so distributor requirements, staffing availability, physical theater limitations, and all the while maximizing revenue potential. So I'd say think of it as like thousands of micro experiments that are running continuously, each one learning from real world outcomes and getting smarter with every single ticket that's sold.

[Dr. Tamara Nahl]

Wow. Wow. Getting smarter with every single ticket that sold.

[Ben Arnon]

That's, that's.

[Dr. Tamara Nahl]

I love that. I love that. That's gonna have to be in the caption for social media.

[Ben Arnon]

There you go.

[Dr. Tamara Nahl]

Now let's talk about like ethics. So you're obviously playing you like you said, this, this orchestra of all these models. So you're, you're dealing with some really powerful tools. Talk to us about like ethics and how do you make sure that what you're building is ethical and it includes the human in the loop.

[Ben Arnon]

Yeah, I'd say, you know, yeah, there's. That's super important with anything AI related, especially on the model front. The ethical line that we're constantly watching is accessibility and fairness in the movie experience. So, you know, dynamic pricing could easily become a system that makes movies accessible only to those with higher disposable income, let's say. But we've built guardrails into our system to really ensure that it doesn't just maximize short term revenue, but actually considers long term audience development. So, for example, we maintain affordability windows in every schedule that actually lower prices for certain segments rather than just raising them at peak times. So, you know, and we're also always going to be putting humans firmly in the loop so that the system makes recommendations that theater managers can override. If a theater manager and then human judgment feels like it should be overridden, then that can happen. And we're transparent with moviegoers about how prices are determined because the movies are really a shared cultural experience that should remain accessible to everyone. And we won't compromise that principle for any kind of profit.

[Dr. Tamara Nahl]

I love that. And you mentioned that the theater manager can override. I think a lot of people are so concerned with AI and is taking jobs, etc. But the way I see it, I would never displace everybody or everything. It will still require that higher level skill and judgment to make sure that the right decisions are being made.

[Ben Arnon]

Yeah.

[Dr. Tamara Nahl]

Okay, so let's talk about the big future. 2030. What does a future powered by Showtime AI feel like to the everyday person?

[Ben Arnon]

Yeah, I think in 2030, the movie experience powered by Showtime AI, I think, will feel fundamentally more connected to who you are. So what I mean by this is, you know, gone will be the days of like scrolling through static showtimes, hoping that something works with your schedule. And instead, I think theaters will dynamically generate optimal showtimes based on community demand signals. You know, you'll open, say, the consumer side of Showtime AI and see personalized recommendations not just for films, but that you might like, but for the perfect time to see them based on your habits and your preferences. Prices will flex to reward planning on, or you know, to either reward planning or spontaneity, whichever you prefer. And I think your entire experience, from ticket purchase to concessions to seating, will feel like it was orchestrated really, you know, just for you, while theaters operate at higher capacities with greater efficiency. And I think the theatrical experience will stop being sort of a commodity and it will hopefully return to being something special, like a curated experience that blends what I call the magic of cinema with the precision of personalization. I know for myself, you know, when I go to that movie theater and I'm sitting there and there's like six other people in the theater, I'm a little lonely. You know, I prefer for there to be, you know, more people there. And so I think that, you know, will help theaters to get way beyond that 15 to 25% capacity figure that they're operating at right now.

[Dr. Tamara Nahl]

Got it. So does that mean you're the moviegoer that likes for people to talk at the screen and all that?

[Ben Arnon]

Me. Me personally, not really, but, you know, to teach their own. You know, I like to. I like to lock in and not miss anything. Yeah, but for some movies, that is fun, though.

[Dr. Tamara Nahl]

Yeah, for some people, that is fun. Yeah, that's funny. So, Ben, as you were building Showtime AI, what's something or some result you have where you got chills like, whoa, this is amazing.

[Ben Arnon]

And, well, I'll tell you, I mean, I first built it, you know, initially just using lovable. And, you know, that's one of a trillion different vibe coding platforms out there. And, you know, I put in this, I have a sort of process for enhancing my prompts and then enhancing it even further if I knew the prompt and the inputs were really strong, but the output just blew me away. I mean, the level of analytics, dashboards and like the pricing elasticity toggle, it was just unbelievable. And then, of course, I've iterated on it a lot from there and, you know, made it much more production ready. But, I mean, I guess that just goes for anything having to do with vibe coding. I like to call it AI coding. I think week after week, the level of complexity and the level of output just increases exponentially. And I'm constantly blown away by what we can create now with really no coding knowledge. So that first time when I first saw the extent of the analytics and dashboards, I just was floored by the output.

[Dr. Tamara Nahl]

Yeah, I remember when you and I touched base, you shared your screen and showed it, and I was like, my God, this is beautiful. This is art. I remember this is really art. This is AI art. So that's amazing.

[Ben Arnon]

I appreciate that.

[Dr. Tamara Nahl]

Okay, so we always have as a part of our segment, a question call from one genius to another. So our last guest has a question for you, and that is, how can people ensure that AI companies design their systems to serve the public good, not just corporate efficiency and profits?

[Ben Arnon]

Yeah, I Mean, we covered that a little bit before. I think it's, I think it's a mindset. I think it has to be infused into the DNA of the corporate culture of any AI company. Any company that's utilizing AI. Again, for the most part, we're all using the same model. We're all using ChatGPT or Claude or Google Gemini or what have you. So at the end of the day, a lot of the responsible ethical elements of AI are really dependent upon those models. Those models have to get it right. And I know that Anthropic, for instance, is super focused on responsible AI and ChatGPT and Google say the same thing, but for any layer that's sitting on top of those models, I think it's just important that we also think about all of the AI I think is incredible and has the ability to enhance everyone's life and propel people like you know, into a new stratosphere. If people can harness the power and potential of AI, but we can never take for granted, it could also go in a whole different direction and it could, it could be incredibly harmful in a lot of different ways. So that always needs to be on the minds of anyone building with AI. And you know, we, we talked about before a little bit how we're thinking about that. Great, great question. It should be something that anyone, I'm, I'm going to throws, anyone leading with AI should be thinking about. There you go.

[Dr. Tamara Nahl]

Love that, love that, love that. All right, Rapid fire. Most overrated tech trend.

[Ben Arnon]

I'd say Metaverse real estate. I think creating artificial scarcity in a world of infinite digital possibility sort of, kind of misses the point entirely.

[Dr. Tamara Nahl]

Okay, most under hyped AI breakthrough.

[Ben Arnon]

I'd say multimodal reasoning. I know that's kind of dorky to say, but you know, it's AI that can think across text, images, audio and data simultaneously. It's how humans naturally process the world. And I think it's going to change everything about human to AI collaboration.

[Dr. Tamara Nahl]

Okay, one book everyone should read on the future.

[Ben Arnon]

I think there's a great book came out a few years ago, but it's called Subtract the Untapped Science of Less and it's by Lighty Klotz and really powerful sort of. It's about like the most powerful innovations often come from removing complexity rather than adding features. And that principle I think is even more important in the age of AI where it's easy to become overwhelmed with all that we could be bombarded with with AI. So that sort of notion of Subtracting and gaining more from less I think is super important.

[Dr. Tamara Nahl]

Okay, got it. What about the boldest AI prediction you believe in?

[Ben Arnon]

I think by 2028, the most valuable skill in business will not be prompt engineering or coding. I think it will be defining meaningful problems for AI to solve. We're moving from an era where technical implementation was the bottleneck to one where human integration and imagination is the limiting factor. And I started a substack recently. Benrnon.substack.com I'm talking a lot about this, about the power of interdisciplinary thinking, the power of that integrative model and orchestration. And so, yeah, I think that that's where it's at, and that's my bold prediction.

[Dr. Tamara Nahl]

All right, awesome. Okay, so make us believers. What's one thing that our listeners can try and build or explore this week to get a taste of Showtime AI?

[Ben Arnon]

I'd say try this experiment this week. So next time you're planning to see a movie, notice all the friction points in your decision process, like, when are the show times, which theater? What's the right price point for you? Then imagine if an AI already knew your preferences and had optimized all these variables. And that gap between your current experience and what's possible is exactly what we are addressing. So for those building in the AI space, for instance, look for those similar disconnects in traditional industries and those places where static systems are trying to serve dynamic human needs. And I believe that that's where AI can create not just incremental improvements, but these transformative new possibilities. And we're approaching the summer season. Lots of blockbusters that people love to go to, so lots of moviegoing experiences. So I'd say run through that experiment.

[Dr. Tamara Nahl]

Awesome. That's amazing. We can do that. We can do that. Figure out all that friction for us. That's amazing. Well, Ben, I have thoroughly enjoyed this conversation. I mean, I'm just over here so proud and just smiling. I mean, 30 years ago on the campus of Emory University, we met, and here you are, a founder in Showtime AI. So I'm just so honored that you will come on the podcast and tell all of our guests and listeners who will see this and view this from all over the world, your passion for. For the movie industry. So best wishes and continued success on all of your projects and cannot wait for Showtime AI.

[Ben Arnon]

Thank you. I really appreciate that. And this podcast is phenomenal, so keep doing what you're doing. Thanks. And thanks for all you do.

[Dr. Tamara Nahl]

Thank you. Thanks so much.

Thanks for tuning in to lead with AI I'll see you next time as we continue exploring the customer cutting edge innovations shaping AI across the public and private sectors. Until then, keep leading with AI.