A24's new partnership with Google represents a fundamental shift in how creative studios approach artificial intelligence: not as a threat to resist, but as infrastructure to control. The indie film studio announced a $75 million investment from Google alongside a research collaboration with DeepMind, Google's AI research lab, focused on designing new creative workflows for filmmakers rather than licensing A24's content library to train AI models.

What Makes A24's AI Deal Different From Other Hollywood Partnerships?

When A24 announced the Google partnership, the response on social media was swift and critical. Fans flooded the studio's Instagram and X posts with accusations that the company was abandoning its values, with some launching petitions to end the deal. But the actual structure of the agreement tells a different story than the typical AI licensing deals that have dominated Hollywood in recent years.

Most major studio partnerships with AI companies have centered on one thing: access to content libraries. Lionsgate partnered with Runway to train AI models using its film library. Disney licensed characters like Mickey Mouse and Goofy to OpenAI's now-shuttered video generation tool Sora. These deals essentially hand over creative IP to be used as training data, which is why they've sparked 125 active copyright lawsuits between major studios and AI companies, culminating in a $1.5 billion settlement in Bartz v. Anthropic late last year.

A24's deal works differently. Google does not have access to A24's content library as part of the arrangement. Instead, the partnership focuses on what A24 calls "research" collaboration aimed at designing workflows for filmmakers. According to Sophia Shin, A24's spokesperson, the investment was in the company and its creative culture, not in its content.

"We wanted to ensure this didn't look like every other studio deal, there's no training using our data, content library, or IP. The investment was in us as a company and a creative partner, and not in our content. We want to work with Google's researchers to shape workflows for our creatives, rather than them sharing their versions of workflows they think we'd need. Faster and cheaper are always the goals in the AI conversation, but our reason for this research is truly artistic control," said Sophia Shin, spokesperson for A24.

Sophia Shin, Spokesperson for A24

How Are Studios Moving Beyond AI Resistance?

Industry experts describe the adoption of AI in creative industries as moving through distinct phases. The first phase is resistance, the second is experimentation, and A24's partnership signals the arrival of a third phase: influence. Rather than fighting AI tools or simply licensing their content to AI companies, studios are now building their own AI infrastructure designed around their specific creative cultures.

Tobias Queisser, co-founder and CEO of film software company The Cinelytic Group, explained the significance of this shift. He noted that the fact A24, the studio most associated with original, auteur-driven filmmaking, is actively investing in AI infrastructure on its own terms tells us something important about how the industry is evolving.

"The studios that are most committed to original filmmaking aren't treating these tools as a threat, but as infrastructure. That's the shift," said Tobias Queisser.

Tobias Queisser, Co-founder and CEO of The Cinelytic Group

This shift is being driven by financial pressure, not philosophical conviction. The film industry is under what Queisser describes as "existential" financial strain. Since the pandemic collapsed physical theater revenue and streaming giants like Netflix fragmented audiences, studios have realized growth won't come from traditional distribution. In 2025 alone, the film industry shed over 17,000 jobs, 18 percent more than the year before, and Paramount eliminated 2,000 positions. Meanwhile, only 3 percent of independent films recoup their budgets, and traditional financing sources have largely dried up.

At the same time, AI companies are reaching trillion-dollar valuations. The cost of not adopting AI tools has become visible in every film slate that fails to return capital. As Queisser explained, the inflection point was not a philosophical shift, but financial pressure.

Steps Studios Are Taking to Build AI Infrastructure on Their Own Terms

• Protecting Creative Control: Rather than licensing content libraries to AI companies, studios are partnering with AI labs to design custom workflows that reflect their specific creative cultures and values, ensuring filmmakers maintain artistic authority over the tools they use.
• Investing in Research Partnerships: Studios are moving beyond one-off licensing deals to long-term research collaborations with AI companies, positioning themselves to shape the development of creative tools rather than simply adopting off-the-shelf solutions.
• Scaling on Independent Terms: By building AI infrastructure in-house or through controlled partnerships, studios can grow their operations and compete with larger conglomerates without surrendering their independence or creative identity to larger tech companies.

A24 has built a $3.5 billion independent business by embracing uncertainty and backing first-time filmmakers like Kane Parsons, the 20-year-old debut director of the $300 million horror hit Backrooms. The studio has also carved out a reputation for recognizing shifts in how culture is made, marketed, and consumed, from fandom-building merchandise to social-first film world-building campaigns. Viewed through this lens, its partnership with Google seems like its next wager on the future.

According to Shin, A24's history shows a deliberate attempt to move into white space or opportunities that didn't exist. The studio made early bets on under-35 audiences of indie films, social-first marketing strategies, and was among the first film companies to strike a Pay-One deal with Amazon. With the Google partnership, A24 is demonstrating that independence and growth are not mutually exclusive.

What Could This Mean for Other Creative Industries?

The lessons from A24's approach extend beyond film. Independent fashion brands are facing many of the same structural pressures: rising production costs, an early-stage funding drought, and growing competition from conglomerates with deeper pockets and proprietary technology. However, fashion's AI partnerships have largely focused on applications rather than co-creation. L'Oréal is working with OpenAI to develop AI-powered beauty experiences, while brands like Moncler, Valentino, Gucci, and Victoria Beckham have experimented with generative imagery and digital twin virtual try-on.

What's still missing in fashion are purpose-built AI tools designed for the industry's own creative workflows and the strategic partnerships to build them well. Queisser points to A24's deal as a potential blueprint for other creative industries to move beyond the resistance and experimentation phases. Industries resist these tools until the cost of resistance exceeds the cost of adoption. Both ends of the film business, from major Hollywood studios to indie studios, have now reached that threshold.

The broader implication is clear: the companies that will thrive in an AI-driven creative economy are those that build their own infrastructure rather than simply licensing their content to others. A24's partnership with Google demonstrates that cultural cachet and taste, the competitive advantages that have always defined creative industries, can be preserved and even strengthened by taking control of the AI tools that shape creative work.