A24’s $75M deal with Google DeepMind sparks AI backlash and “sold its soul” claims

A24’s $75 million partnership with Google DeepMind to develop AI workflow tools is supposed to be future-facing. Instead, even some loyal fans are treating it like a reckoning. The reason is simple: in the AI era, “workflow tools” is rarely understood as neutral infrastructure. It is often read as the first step toward changing who makes art, how it is made, and what kinds of creative labor get valued.

That tension sits at the center of the story. IndieWire reports that even people who are generally supportive of A24 are not pleased with this $75 million deal. And those feelings are not polite, either. Some are convinced the company has “sold its soul,” a phrase that captures something that matters far beyond this one partnership: brand identity is now part of the AI debate, and it moves faster than any quarterly report.

To understand why this is landing so hard, it helps to zoom out. The AI backlash in creative industries is not only about whether AI can generate something. It is about control. Who gets to decide what AI tools do, how they are used, and what boundaries are respected. When a recognizable entertainment brand partners with a major AI player like Google DeepMind, the association is immediate. Fans do not just see “AI workflow tools.” They see an industrial shift, even if the intended use is internal or technical.

There is also a governance issue hidden in the phrase “workflow tools.” In many companies, AI begins as efficiency, then expands as capability improves. Workflow adoption can mean faster editing, different content production pipelines, or new ways to manage assets. Those can be legitimate operational improvements. But in a sector built on trust with audiences, any movement toward new production methods invites questions: Is the company planning to keep human judgment in charge? Are creatives being protected and compensated? Is the tool used to augment artists or to replace them?

Decision-makers should take note because the incentive structure can be misaligned. A24’s incentives, like many media companies, include staying competitive, reducing friction in production or distribution workflows, and preparing for a future where AI is embedded in production systems. Meanwhile, the incentives of its most passionate audience segments are reputational and cultural. They are not evaluating whether the workflow saves time, they are evaluating whether the company’s actions match the values people attached to the brand.

Regulation is another reason this kind of deal becomes a lightning rod. Even without quoting specific laws, the direction of travel is clear across many jurisdictions: regulators and policymakers are pressuring companies to address data provenance, consent, transparency, and accountability for AI systems. Creative industries are one of the first places those rules get tested because content is easier to measure and harder to separate from identity. A partnership with a major AI lab can trigger scrutiny simply because it raises expectations about how responsibly the technology will be deployed.

For boards and senior leadership teams, second-order implications are the real risk. Not all backlash stops at social media. In some cases, it can influence talent relationships, distributor and partner confidence, and long-term brand strategy. When people believe a company “sold its soul,” it signals a perceived break between corporate strategy and cultural stewardship. That can become expensive to repair, even if the underlying partnership is narrowly scoped to workflow automation.

So the strategic stakes for peers are immediate. A24 is not the only company considering AI-enabled operations. But this deal shows how quickly AI partnerships can become identity battles, not just tech updates. If you lead a creative or media business, you are not only choosing tools. You are choosing how your audience will interpret your intent, and that interpretation can change faster than your implementation roadmap. The question for leadership is whether the company can build a narrative and operational safeguards that reduce fear, even when the core business bet is technological.