Our Take
Google is funding a creative studio, not funding a research breakthrough—this is a partnership announcement, not a technical advance.
Why it matters
Major tech companies are now backing entertainment studios directly to explore AI applications in creative work. For studios and production companies, this signals a path to AI-adjacent funding that doesn't require building ML infrastructure.
Do this week
Studios and creative technologists: map which of your workflows (asset generation, editing, VFX) could anchor a similar partnership with a major AI lab before the capital window closes.
Google invests in A24's Backrooms project
Google has committed to a new AI research partnership with entertainment studio A24, specifically involving their Backrooms project. The Wall Street Journal reported the deal as exclusive news, though Google and A24 have not disclosed the investment amount, timeline, or specific research objectives.
The partnership positions Google alongside a major independent studio known for genre films and prestige releases. Backrooms, a found-footage horror property adapted from internet folklore, serves as the test case for the collaboration.
Tech capital is flowing into creative studios, not vice versa
This move signals a structural shift in how AI labs fund applied research. Rather than licensing content from studios or building internal production capabilities, Google is directly backing creative IP and the teams behind it. It is a bet that working within an existing studio ecosystem yields better real-world insights into how AI tools integrate into production workflows than building labs in isolation.
For A24 and similar independents, the deal opens a funding channel that sidesteps traditional film finance and venture capital. It also binds a studio to a specific AI lab's roadmap, which could lock in downstream decisions about tool selection, data ownership, and content rights.
Studios should negotiate data and model ownership upfront
If you lead creative operations at a studio or production company exploring AI partnerships with a major lab, clarify who owns the training data, trained models, and derivative outputs before signing. Google's research agenda and commercialization timeline may diverge from yours. Secure carve-outs for your own competitive use of tools and insights developed during the collaboration, and set a clear boundary between "research" (Google-publishable) and "production" (proprietary to the studio). Many early partnerships have discovered this ambiguity only after launch.