The ROI battle between blockbusters and indies:
How AI maximizes profit by greenlighting original content

Blockbusters vs Independent Films: How AI Predicts ROI and Greenlight Decisions

A declining cinema-going population and increasing competition from Netflix and video-on-demand are making it harder to monetize audience attention from the silver screen. One consequence is the wane of original content in big productions — studios preferring established franchises over truly novel, risky stories.

The criticism levelled at AI in this context goes: if algorithms get to decide which scripts are produced, wouldn't they exclusively allocate resources to derivative blockbusters from successful franchises? And if trained on previous films, how would they ever see the appeal of truly innovative content like Memento, Inside Out, or Being John Malkovich?

We believe this criticism is the result of confirmation bias. The tentpoles make the most noise marketing-wise — but other movies still get made, and the ever-growing importance of film festivals like Sundance proves that smaller movies are very much in demand. Furthermore, blockbusters are not necessarily that profitable in relative terms.

Use case 1: Absolute profit

Consider the top 10 most absolutely profitable movies from ScriptBook's database, released after 2000, predicted based solely on script. When focusing on absolute profit, we predict the "usual suspects" — sequels and films based on highly successful IP. This is expected: blockbusters win on sheer scale.

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Table 1: Top 10 most absolute profitable movies as predicted by ScriptBook

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Use case 2: Return on investment for indie films

Things become far more interesting when we turn to Return on Investment (ROI = net profit / production budget). We selected movies released between 2000 and 2015 with a production budget under $10M, and ranked them by ScriptBook's predicted ROI. The industry's actual average ROI across this set is 0.968 — meaning on average, these films barely break even.

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Figure 1: Actual ROI over top x% low-budget movies ranked by ScriptBook

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The results are striking. If a studio had financed only the top 5% of scripts as predicted by ScriptBook, they would have won back 4.829 times the total production cost — far superior to the industry average of 0.968. Expanding to the top 20%, ScriptBook still beats the industry average by a factor of 2.

The top 5% includes critical hit A Separation and Fruitvale Station. The top 10% adds Safety Not Guaranteed and The Sessions. The top 20% includes Blue Valentine and the Oscar-winning arthouse darling Amour.

Conclusion

These experiments prove that ScriptBook's algorithms are perfectly capable of greenlighting smaller, independent, creative movies. Not only that — given a selection of movies, they manage to pick out the profitable ones far better than the industry average.

A lot of original movies are still being made, and they can be profitable. Get Out and A Quiet Place are recent proof that quality is ultimately rewarded. Making a profit doesn't mean raking in millions — but costs need to be recouped, and investing in a movie is a risky venture. AI doesn't pit Amour against the latest Fast and Furious. It might simply help make a difficult choice between two original low-budget movies — and make it better than a human would.

What this means in 2026

The trend we identified in 2018 — studios retreating to franchises and IP while independent cinema struggles for oxygen — has accelerated dramatically. The Marvel fatigue of 2023-2024, the collapse of several major franchise films, and the simultaneous success of original films like Everything Everywhere All at Once and Past Lives have validated our core argument: original content is not a risk, it is an opportunity.

Streaming has complicated the ROI calculation significantly. Netflix, Amazon, and Apple now fund independent films at scale — but their opaque viewership data makes it harder to prove the ROI case publicly. The fundamental insight stands: when you rank films by return on investment rather than absolute gross, independent and original content wins consistently.

For the AI methodology behind these predictions, read: AI and the myth that it's killing creativity.