In April 2017, ScriptBook and The Black List, the industry’s most influential platform for surfacing unproduced screenplays, announced a partnership that would offer AI-powered script analysis to any writer for $99. Within 48 hours, the collaboration was over.
The story of what happened, and why, is worth revisiting nearly a decade later. Not because the outcome was surprising in retrospect, but because the industry’s reaction revealed something about Hollywood’s relationship with data-driven decision making that remains true in 2026.
The setup
The Black List, founded by Franklin Leonard in 2005, has become one of Hollywood’s most trusted channels for elevating unproduced screenplays. Each year, its annual list of the industry’s most-liked scripts includes titles that go on to Oscar wins and major box office success. Slumdog Millionaire, Juno, Argo, The King’s Speech, and The Revenant all appeared on the list before they were made. By 2017, films that originated on The Black List had generated more than $30 billion at the global box office.
ScriptBook, founded in Belgium in 2014, had built purpose-trained machine learning models on more than 100,000 screenplays paired with their eventual commercial outcomes. The company’s core product predicted box office performance, genre classification, MPAA rating, and audience demographics from a screenplay’s text alone. In validation studies, the models had achieved 87% box office prediction accuracy, a benchmark no purely human greenlight process has matched.
The partnership was straightforward. The Black List would offer a four-page ScriptBook report to any writer, priced at $99. It was packaged as “The Black List powered by ScriptBook AI.”
The launch
The press release on the morning of the announcement framed the collaboration carefully. Human expertise remained the primary judgement layer; the AI component was positioned as an additional, optional signal for writers who wanted structured quantitative feedback.
At $99, the product was priced significantly below the average human coverage service. Most competitors charged $150 or more for less structured feedback. The intent was accessibility, so independent writers, students, and producers who lacked access to traditional coverage pipelines could now buy an objective assessment.
The launch itself was unremarkable. The response was not.
The reaction
Within hours, the reaction on Twitter and Reddit was overwhelmingly negative. A critical thread on r/Screenwriting captured the general tenor of the debate; it remains discoverable today.
Prominent screenwriters were among the most vocal critics. Craig Mazin (Chernobyl, The Hangover), John August (Big Fish, Charlie’s Angels), and Brian Koppelman (Billions, Rounders) each argued publicly against the product, on their respective podcasts and in social posts. Producer Keith Calder characterised ScriptBook as “snake oil garbage” and urged writers and executives to “give this a hard pass.”
The criticisms fell into several categories:
- Skepticism about AI accuracy, doubt that a machine could meaningfully evaluate creative work.
- Concern about industry impact, fear that studios would use AI to further devalue human coverage services.
- Rejection of the underlying premise, the belief that quantitative assessment of screenplays was philosophically inappropriate.
- Personal skepticism about ScriptBook itself, characterisations of the company as opaque, foreign, or untrustworthy. One podcast referred to it as a “shady Belgian company.”
Notably, few critics engaged directly with the company or reviewed the methodology. Most of the discussion took place on second-hand channels such as comment threads, podcasts, and social feeds, without direct dialogue with ScriptBook.
The Mea Culpa
Within 48 hours, Franklin Leonard published a follow-up press release titled “Mea Culpa.” The ScriptBook offering was suspended immediately. His stated reasoning: The Black List’s primary constituency was the writing community, and that community had expressed a full-throated consensus against the product.
The release maintained that ScriptBook’s technology had “great potential value,” but that offering it against the wishes of the writing community was inconsistent with The Black List’s mission. Leonard specifically acknowledged Mazin, August, and Koppelman for their input.
Publicly, the story ended there. Behind the scenes, the pressure continued. Guilds and industry organisations reportedly threatened to sever ties with The Black List over its association with AI script analysis. Continued attacks on social media persisted for weeks.
Why the industry pushed back
The reaction is more instructive in hindsight than it was at the time. The 2017 rejection was framed as a critique of AI accuracy. In practice, it was closer to a defence of authority.
Hollywood’s greenlight process, then and now, is highly discretionary. A small number of executives at studios and financiers decide which scripts get produced. That authority is not distributed based on measurable accuracy. Industry data consistently shows that greenlight decisions produce mediocre results at the aggregate level. In 2017, more than 86% of released films failed to become financially successful. Recent large-budget failures, including Cats ($113M loss), the live-action Mulan ($140M), Dark Phoenix ($133M), Gemini Man ($111M), and A Wrinkle in Time (over $100M), illustrate that this base rate has not meaningfully improved in the years since.
A tool that surfaces objective, replicable analysis of screenplays does not replace human decision-making. But it does contextualise it. In an industry where authority is derived from taste and instinct, contextualising that authority with data is threatening in a way that a purely inaccurate tool would not be.
The critics in 2017 didn’t argue that ScriptBook had produced obviously bad predictions. They argued that AI-driven script assessment was inappropriate in principle. That is a different argument, and it says more about what was being defended than about the technology being contested.
What has changed since 2017
Nearly a decade later, the landscape has shifted significantly:
- Quiet adoption: Most major studios now use some form of AI-assisted script triage internally, though rarely publicly. What was unmentionable in 2017 has become common practice.
- Academic recognition: ScriptBook is now the subject of dedicated academic study, including a 23-page peer-reviewed chapter in Transforming Cinema with Artificial Intelligence (IGI Global, 2024), articles in Media Industries (University of Michigan, 2024), and coverage in NECSUS European Journal of Media Studies.
- Trade press normalisation: Publications that would have covered AI script analysis as a threat in 2017 now cover it as a mature category.
- Independent validation: ScriptBook’s 87% box office prediction accuracy has been validated across multiple independent studies of released films.
The Black List, for its part, has continued to evolve and remains one of the industry’s most important discovery platforms. Franklin Leonard is one of its most respected figures.
The takeaway
The 2017 Black List / ScriptBook collaboration is a small chapter in a much larger story about how creative industries respond to measurement. The specific arguments made against AI script analysis in 2017 have not aged well. But the underlying dynamic, resistance to any tool that reveals the actual base rates of a decision-making process, remains active.
The film industry loses billions of dollars per year on projects that could have been evaluated more rigorously at pre-production. The tools to do that evaluation existed in 2017. They have improved considerably since. What has changed less is the willingness of the industry to use them openly.
The story of Hollywood’s rejection of AI script analysis in 2017 is not really a story about AI. It is a story about who gets to decide what a screenplay is worth.
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