Google is putting $75 million into A24 to develop AI storyboard tools, a move that could change how indie films are pre‑visualized. The multiyear partnership doesn’t hand Google access to A24’s library, but it does promise a new suite of assistive software aimed at the studio’s creative ranks.
Key Takeaways
- Google commits $75 M to A24 for AI‑driven pre‑production tools.
- The first product will generate storyboards, not replace artists.
- A24’s recent box‑office hits have doubled its revenue and pushed its valuation to $3.5 B.
- Industry voices, from directors to DeepMind execs, are split on the technology’s impact.
- Over 2,000 storyboard artists currently work in Hollywood, a number that could feel pressure from new tools.
Google’s $75M Bet on AI Storyboard Tools with A24
When the deal was announced, the headline numbers were hard to miss: a $75 million infusion from Google, earmarked for a suite of AI tools that won’t look like the generative models people have been wary of. Google framed the partnership as a way to “expand what’s possible in the future of entertainment,” and the studio’s press release echoed that optimism.
Deal structure and boundaries
According to the announcement, the money is a multiyear investment that stays clear of A24’s existing film and TV catalog. That means the studio’s back‑catalog, including hits like Backrooms, stays out of Google’s reach—for now. Both sides say the collaboration will stay strictly in tool‑building, not content‑ownership.
Because the agreement doesn’t grant Google any licensing rights, we won’t see a sloppified sequel to any A24 title any time soon. Instead, the partnership focuses on building software that can help directors, writers, and producers move faster from script to visual plan.
First‑look: AI‑generated storyboards
A24’s spokesperson told The Wall Street Journal that the upcoming tools “won’t look anything like the prompted generative type of AI that people feel uncomfortable with.” The initial product will take a script or treatment and spin out a rough storyboard, giving filmmakers a visual scaffold without replacing the hand‑drawn artistry they rely on.
That promise of assistive technology feels like a middle ground. It’s not a full‑blown AI that writes scenes, but it does automate a time‑consuming step that traditionally eats up weeks of pre‑production budget.
A24’s Creative Ecosystem Meets AI
A24 has built a reputation as a haven for emerging filmmakers who speak to younger audiences. That reputation comes with a built‑in skepticism toward AI. Kane Parsons, the director of Backrooms, called the technology “genuinely harmful” and a sign of “cultural and economic rot.” His criticism reflects a broader sentiment among indie creators who fear that AI could erode the craft that defines their work.
But the studio’s leadership isn’t entirely dismissive. Eli Collins, a vice president of product for DeepMind, told the press that “we believe breakthroughs happen when you get technology into the hands of the best minds in the field.” That line suggests Google thinks putting powerful tools in the hands of A24’s talent could spark new forms of expression rather than replace them.
There are at least 2,000 storyboard artists working in the Hollywood system today. Those artists have traditionally been the bridge between script and screen, sketching out beats that guide the director’s vision. If Google’s tools can handle the grunt work, those professionals might shift toward higher‑level design, but the transition could be rocky.
Industry Reactions and Potential Impact
The news has sparked conversation across the entertainment tech sphere. Some see the partnership as a pragmatic step: AI can handle repetitive tasks, freeing creators to focus on storytelling. Others worry the move could accelerate a trend where studios lean on algorithms to cut costs, potentially sidelining the human labor that’s been the backbone of film production.
- AI storyboard tools could cut pre‑production time by weeks, according to internal estimates.
- If adopted widely, the tools might reduce the demand for entry‑level storyboard artists.
- Google’s involvement signals that big‑tech firms are willing to invest in niche creative pipelines.
What’s ironic is that the approach mirrors Ben Affleck’s AI startup, which Netflix recently bought. That team is building post‑production utilities like color‑mixing and relighting. Both cases show a pattern: big media players are buying specialized AI firms to augment, not replace, existing workflows.
Financial Backdrop – A24’s Recent Success
It’s impossible to ignore the financial context. Backrooms pulled in more than $300 million, making it A24’s highest‑grossing film by a wide margin. The follow‑up, Marty Supreme, earned nearly $200 million and racked up a slew of Oscar nominations.
Those box‑office wins helped double A24’s revenue over the past two years, and the studio’s valuation recently hit $3.5 billion. With that kind of cash flow, the company can afford to experiment with new tech without jeopardizing its core business.
That financial runway makes the Google deal look less like a lifeline and more like a strategic partnership—one that could give A24 a technological edge as it continues to chase bold, unconventional projects.
Historical Context
AI‑driven tools have been flirting with Hollywood for years, but they rarely made it past the prototype stage. Early attempts focused on generic image generation, producing pictures that looked impressive but lacked the narrative coherence needed for storyboarding. Those projects often required massive prompts and manual tweaking, which kept most filmmakers at arm’s length.
When the first wave of AI art models arrived, studios experimented with them as mood‑board generators. The output was useful for brainstorming, yet the results still needed a human hand to translate vague concepts into concrete shot sequences. That gap left a clear opportunity for a solution that could ingest an entire script and output a sequence of frames that respect pacing, composition, and visual tone.
Google’s entry into this space builds on its broader push into creative AI, a trajectory that includes research on image synthesis, text‑to‑image translation, and video generation. By partnering with a studio that already embraces risk‑taking, Google hopes to skip the “toy‑stage” and deliver something that integrates directly into the daily workflow of a director’s team.
Competitive Landscape
Netflix’s acquisition of the Affleck‑backed AI startup signals that streaming giants are also eyeing the pre‑production market. Their focus on post‑production utilities suggests a complementary strategy: once a film is shot, AI can help with color grading, relighting, and other visual refinements. Together, those two fronts cover the entire production pipeline, from script to final cut.
Other tech firms have dipped a toe into visual planning tools, but most remain in the research sandbox. The A24‑Google collaboration stands out because it couples a sizable cash commitment with a clear product roadmap. That combination forces the rest of the industry to consider whether a similar partnership could give them a competitive edge.
Even smaller boutique AI labs are beginning to pitch storyboard‑generation services to independent producers. Their pitches often hinge on cost savings and speed, but they lack the brand weight and distribution channels that a partnership with a studio like A24 can provide. As those smaller players iterate, the market may see a proliferation of niche tools, each vying for a slice of the pre‑production pie.
Adoption Timeline and Outlook
Google’s multi‑year commitment hints at a phased rollout. The first milestone—an AI‑generated storyboard prototype—will likely appear in internal test runs before any public release. Those pilots will give both companies a chance to measure how well the tool matches a director’s creative intent.
Assuming the prototype meets internal expectations, a broader beta could launch within a year, allowing select A24 productions to experiment with the technology on real projects. Feedback loops from those pilots would shape refinements, such as improving the model’s handling of genre‑specific visual language.
Beyond the beta, a full production‑ready version might roll out to other studios that observe A24’s results. The timeline aligns with a typical software development cycle: prototype, beta, refinement, and general availability. Each stage will be marked by measurable goals—like reducing storyboard‑creation time by a certain percentage—so stakeholders can gauge ROI.
What This Means For You
If you’re a developer building tools for the film industry, the A24‑Google collaboration is a signal that there’s appetite for specialized AI that integrates cleanly into existing pipelines. You’ll want to watch how the storyboard prototype rolls out, because it could set a template for APIs that accept script inputs and return visual assets.
For founders, the partnership shows that big‑tech investors are willing to fund niche AI products that solve concrete problems—like turning a page‑turning script into a visual roadmap. That means a well‑defined use case can still attract multi‑digit funding, even in a market saturated with broad‑stroke generative models.
For filmmakers, the immediate takeaway is practical: if the tools deliver on their promise, you might spend less time on low‑level sketches and more time refining narrative beats. But you’ll also need to stay alert to how those tools affect hiring practices and the broader creative ecosystem.
Imagine a director who usually spends two weeks gathering storyboard artists, meeting with them, and iterating on sketches. With an AI‑assisted workflow, that same director could generate a first‑draft visual outline in a single day, then bring the artists in to polish key moments. The result is a hybrid process that uses speed without discarding the artistic input that defines a film’s look.
Consider a startup that builds a cloud‑based pre‑production platform. By exposing an endpoint that mirrors the A24‑Google prototype—accepting a screenplay and returning a sequence of panels—the startup could offer a plug‑and‑play solution to any production house. That kind of modularity would lower the barrier for smaller studios that lack in‑house AI expertise.
Think about an indie producer who’s trying to stretch a modest budget. If AI can shave weeks off the storyboard phase, the saved time translates into lower labor costs, which could free up funds for location scouting or post‑production polish. The trade‑off, however, will be a need to ensure that the AI’s output aligns with the director’s vision, something that may require a new role—an “AI liaison” who bridges technology and creativity.
Only whether AI storyboard tools become an industry standard or a niche experiment. Will the technology give creators to iterate faster, or will it push seasoned artists out of the room?
Key Questions Remaining
- How will studios measure the quality of AI‑generated storyboards against hand‑drawn equivalents?
- What safeguards will be built to prevent the model from reproducing biased visual tropes that have historically plagued the industry?
- Will the tools evolve to handle more than static frames—perhaps offering rough animatics or shot‑list recommendations?
- How will the partnership influence the career trajectories of the 2,000 storyboard artists currently employed in Hollywood?
- What contractual frameworks will emerge to protect intellectual property when AI assists in the creative process?
Sources: Engadget, The Wall Street Journal
