Editor’s Note

This week, AI tools kept showing up in places people assumed were off-limits. A studio known for hand-made cinema took money to build AI filmmaking tools. India scrambled to build its own models after Washington pulled the plug on foreign access to two frontier systems. And Europe quietly loosened the rules it spent years writing. The thread tying it together is simple. The question is no longer whether AI enters your workflow. It is who controls the tool, who pushes back, and who pays for the cleanup when the hype cools.

A Studio Famous for Hand-Crafted Films Just Bet $75M on AI Filmmaking Tools

What happened

A24, the indie studio behind films like “Everything Everywhere All at Once,” signed a multiyear research partnership with Google DeepMind to build AI filmmaking tools. Google is putting in roughly $75 million, and DeepMind researchers will work alongside A24’s team on new production workflows. (Source: TechCrunch) The deal is nonexclusive, and Google does not get access to A24’s content library or data. (Source: Variety)

Why it matters for HR leaders and founders

The reaction tells you more than the deal. Parts of A24’s own fanbase revolted, treating the partnership as a betrayal of the studio’s craft-first reputation. (Source: The Hollywood Reporter) That is the same dynamic you will face when generative AI tools land in your own team. The technology rarely fails on capability. It fails on trust.

Think about your designers, writers, or analysts. When you introduce AI tools into creative or judgment-heavy roles, the loud objection is about quality. The quiet one is about identity. People worry the thing they were hired to do is being automated out from under them. A24 is now running that experiment in public. It framed its tools around preserving creative control, not replacing the maker.

What to do about it

Before you roll out any AI tool to a skilled team, name the fear out loud. Say what stays human and what gets automated, in writing. The companies that get ahead here treat this as change management, not a software install. For the skills side of that shift, our guide to the AI skills gap in HR is a useful starting point.

India Doubles Down on Homegrown AI After a US Shutoff

On June 12, the US Commerce Department ordered Anthropic to cut off foreign-national access to its two most powerful models, Fable 5 and Mythos 5. The company could not reliably tell US persons from foreign nationals in real time. So the practical result was a global shutoff of both models. (Source: Nextgov/FCW) In India, the move reignited the push for sovereign AI tools and indigenous foundation models. (Source: Outlook Business)

So what does this mean for you? Say your HR stack or product runs on a single US frontier model. You just learned that access can vanish overnight, by government order. That is concentration risk, plain and simple. Founders building in India or hiring across borders should map which AI tools depend on one provider. Then keep a fallback model ready. Resilience now beats raw capability.

Europe Softens Its AI Rulebook, but One Deadline Still Holds

The EU reached a provisional deal on its Digital Omnibus, which pushes back the hardest parts of the AI Act. High-risk obligations for standalone systems move to December 2, 2027. AI built into regulated products moves to August 2, 2028. (Source: Gibson Dunn) However, the transparency rules under Article 50 still apply from August 2, 2026. (Source: EU AI Act timeline)

For HR teams, here is the practical read. AI hiring tools count as high-risk, so the deferral buys you real runway on the heavy compliance work. But if you use AI to screen or rank EU candidates, one rule holds. You must tell people they are dealing with an automated system. Use the extra time to document your AI in HR recruitment logic now, while the pressure is off.

The Agent Spending Boom Comes With a Warning Label

Gartner forecasts that AI agent software spending will hit $206.5 billion in 2026, up from $86.4 billion in 2025. It then climbs to $376.3 billion in 2027. (Source: Gartner via Digital Applied) Yet the same analysts predict that over 40% of agentic AI projects will be scrapped by the end of 2027, citing unclear value and weak controls. (Source: MarTech)

That gap is the story. Money is pouring into AI tools faster than teams can prove they work. For a lean HR or ops function, the lesson is to buy for a named problem, not for the demo. Start with one repetitive workflow, measure the hours saved, and only then expand. Our look at AI agents for HR walks through where this actually pays off.

Quick Hits

• Gameplay as training data. General Intuition raised a $320M Series A at a $2.3B valuation, led by Khosla Ventures. The startup trains AI agents on millions of hours of action-labeled gameplay clips. (Source: TechCrunch)
• OpenAI trims its lineup. GPT-4.5 was retired from ChatGPT in late June, with existing chats rolling forward to GPT-5.5. The API keeps GPT-4.5 separate for now. (Source: OpenAI)
• HR adoption is real but uneven. SHRM’s State of AI in HR 2026 found 39% of organizations have adopted AI inside the HR function. Of those that have not, 67% cite a lack of awareness of what AI can do. (Source: SHRM)

If this week’s news has you rethinking which AI tools belong in your HR stack, take a look at Asanify’s global HRMS platform. It is built API-first. You can connect modern AI tools to payroll and people data without ripping out your core. Worth a look if vendor lock-in is on your mind.

FAQ

What are AI filmmaking tools?

AI filmmaking tools are software systems that help create or plan parts of a film, such as AI-generated storyboards, shot planning, or visual previews. The A24 and Google DeepMind partnership is building tools meant to support filmmakers rather than auto-generate finished scenes. The aim is to speed up production while keeping creative decisions with the human team.

Does the EU AI Act still take effect in August 2026?

Partly. The EU’s Digital Omnibus deal pushes most high-risk obligations to December 2027 and August 2028. However, the transparency rules under Article 50 still apply from August 2, 2026, so companies using AI to interact with people must disclose it.

Why does the US shutoff of AI models matter for businesses outside the US?

It shows that access to a US frontier model can be cut by government order, worldwide, with no notice. Any company that relies on a single provider faces real continuity risk. Keeping a fallback model and avoiding lock-in is now a basic resilience step.

Not to be considered as tax, legal, financial or HR advice. Regulations change over time so please consult a lawyer, accountant  or Labour Law  expert for specific guidance.