Google DeepMind and A24: $75M for AI in Film

The timeline: from DeepMind to Hollywood in one announcement

On June 22, 2026, TechCrunch reported the agreement between Google DeepMind and A24. The investment amounts to $75 million. The stated goal is to develop AI filmmaking tools for professional film production.

A24 is no random choice. It is considered the most influential independent production company of the past decade. It has also built a brand strongly associated with narrative quality and visual experimentation. So bringing DeepMind into this ecosystem has both technical and symbolic value.

The deal follows a path that began in 2025, when several tech players started striking agreements with the entertainment industry. Still, the amount invested and A24's profile make this announcement qualitatively different from the earlier ones.

The key players: who brings what to the table

Google DeepMind brings cutting-edge research in generative video models. Think of Veo, Google's text-to-video model, which has already demonstrated high-fidelity visual generation. DeepMind is also working on architectures able to maintain narrative consistency across long sequences, a technical problem most competitors haven't solved.

A24, on the other hand, brings something no model can replicate on its own: an editorial culture, a recognizable aesthetic sensibility, and a network of top creative talent. So the partnership isn't simply "AI that makes films." It's a lab where artificial intelligence is trained and validated by high-level creative professionals.

According to McKinsey, the media and entertainment sector is among the most exposed to generative transformation, with automation potential for creative tasks exceeding 30% of the total value produced. A structured investment like this one therefore has long-term implications well beyond a single film studio.

Short-term winners and losers

The competitive landscape is being redrawn fast. Here are the main effects already visible or likely over the next 12-18 months.

• Immediate winners: Google strengthens its position in creative AI, pulling ahead of OpenAI (Sora) and Runway in terms of cultural legitimacy. A24 gains the technology and financial resources to experiment without risking its core business.
• Under pressure: software companies that make traditional post-production tools (editing, VFX, color grading) will see established workflows replaced faster. Likewise, stock footage providers risk a structural drop in demand.
• Side opportunities: creative agencies and content creators who manage to integrate these tools into their workflow will gain a significant competitive edge. In particular, those working on video advertising and branded content for the Italian market have a window of opportunity to seize before the market gets saturated.

That said, it's important not to overestimate the speed of adoption. Tools developed in professional film contexts take time before they become accessible and usable at the agency or SME level.

SHM Studio's take: beyond the deal hype

At SHM Studio, we read this agreement on two distinct levels. The first is technical: DeepMind is building next-generation video models, and the collaboration with A24 speeds up access to high-quality training datasets. We therefore expect significant progress in the visual and narrative consistency of generative models by the end of 2026.

The second level is strategic. When a company like Google puts $75 million into a high-profile creative setting, it also sends a signal to the market: generative AI for video content is ready to be taken seriously. As a result, corporate budgets for experimentation in this area will unlock faster.

For Italian marketing managers, this means one concrete thing: the time to figure out how these tools fit into your content production processes is now, not two years from now. Those who delay this evaluation risk playing catch-up with their more responsive competitors.

On the AI applied to marketing front, we are closely following the evolution of generative tools for content production. We're especially interested in how these technologies fit with the copywriting and content strategy workflows already used by mid-sized Italian companies.

What changes for creative agencies and content creators

The DeepMind-A24 deal has no immediate effect on Italian agencies. But it sets a clear direction. AI tools for video production will become progressively more powerful, more accessible and more integrated into the software people already use.

For a digital marketing strategy focused on video content, this brings a few practical considerations today:

• Monitor emerging tools: Runway, Pika, Kling and Veo are already available. New releases are also expected in the second half of 2026. Keeping your tool map up to date is a priority.
• Rethink creative workflows: AI doesn't replace the creative director, but it changes the role of the production team. It helps to map which tasks can be sped up or automated without losing quality.
• Competitive positioning: agencies that integrate AI into their offering can deliver higher-quality video production at lower cost. This is a relevant argument for LinkedIn campaigns and Google Ads campaigns using video formats too.

According to Gartner, by 2027 more than 30% of outbound marketing messages from large organizations will be synthetically generated. The question, then, isn't whether to adopt AI tools for content, but how fast to do it and with what governance.

The work still in progress: unresolved questions

It would be wrong to present this deal as a definitive solution. Some open issues can't be solved automatically by any investment, however significant.

First, the question of rights. Training models on existing film material is the subject of ongoing lawsuits in the United States and Europe. Even so, A24 could give DeepMind a proprietary, licensed dataset, reducing legal exposure. Still, the regulatory implications for those using these tools in commercial contexts remain to be clarified.

Next comes controlled quality. Generative video models produce excellent results on short sequences. On medium-to-long content, like a 60-second spot or a brand film, visual and narrative consistency is still an open problem. Professional use therefore requires significant human oversight.

Finally, there's the risk of aesthetic homogenization. When everyone uses the same models trained on the same datasets, the content they produce tends to converge on a recognizable style. For a brand that wants to stand out, that's a risk worth taking seriously. In this sense, web design and visual identity work keeps a strategic value that AI doesn't erode. If anything, it strengthens it by contrast.

Next moves: what to evaluate over the next six months

If you're a marketing manager or digital lead at an Italian company, here are a few concrete actions worth considering in the short term.

• Audit the AI video tools already available: before waiting for the tools that will come out of the DeepMind-A24 deal, it's worth testing what exists today. Many content production workflows can already benefit from tools like Runway or Veo 2.
• Train your creative team: adopting generative AI takes new skills. Investing in training today lowers the cost of adoption tomorrow.
• Review your video SEO strategy: AI-generated video content has specific implications for SEO optimization. In particular, the quality of the narrative content remains the deciding factor for organic rankings.
• Evaluate your technology partner: not every agency is equipped to guide this transition. Choosing a partner with both creative and technological expertise is a strategic decision, not an operational one. To learn more, you can contact the SHM Studio team for a preliminary assessment.

To stay up to date on how AI tools are evolving for marketing and content production, the SHM Studio blog regularly publishes analysis on these topics.