Microsoft Build launches MAI-Thinking-1, UK forces Google to let publishers opt out of AI Search, and OpenAI's IPO window closes

Three announcements dropped in the last 24 hours that point in completely different directions - a company building its own AI brain, a regulator clipping Google's wings, and a filmmaker proving the old rules of production budgets are gone. Let's get into it.

Microsoft has been deeply tied to OpenAI since a landmark investment. In what year did Microsoft first make a major investment in OpenAI?

The answer is hiding near the bottom of today's newsletter... keep scrolling. 👇

For years, Microsoft's AI story was simple: pay OpenAI, resell the results. That changed this week at Build 2026. Microsoft announced MAI-Thinking-1, its first in-house reasoning model - and it's positioning this as a "medium-sized" flagship capable of competing with frontier models on complex tasks.

The timing is deliberate. Microsoft and OpenAI recently renegotiated their partnership to loosen ties, and MAI-Thinking-1 is the clearest signal yet that Microsoft intends to own more of its AI stack. The company also unveiled Scout - an always-on personal assistant that lives inside Microsoft 365 apps like Outlook and Teams, handling calendar management, expense reports, and email drafts. Think of it as a virtual employee that never calls in sick.

Build 2026 also included Project Solara (a new Android-based OS for AI agent gadgets), the Surface RTX Spark Dev Box (a miniature PC for developers running local AI workloads), and a new open-source evaluation framework for AI behavior testing. Microsoft packed a lot into one keynote.

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Publishers have complained for years that Google's AI Overviews were eating their traffic without compensation. Today, the UK's Competition and Markets Authority (CMA) handed them something concrete: the legal right to opt out.

The new conduct rule requires Google to let website owners exclude their content from AI Overviews and - critically - prevent it from being used to fine-tune Google's AI models. That second part matters enormously. Publishers weren't just losing referral clicks; their journalism was being used as free training data. The CMA is drawing a line around both.

This ruling applies specifically in the UK, but it sets a precedent that other regulators in the EU and US will be watching closely. If you follow AI regulation developments, this one has legs. The question now is whether Google's opt-out mechanism will be easy enough for smaller publishers to actually use - or buried behind layers of Search Console settings.

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President Trump signed an executive order on Tuesday creating a framework for AI companies to share their frontier models with the federal government before public release. The key word is "voluntary" - after pushback from industry groups, the original stricter proposal was significantly narrowed.

The order frames early government access as promoting cybersecurity and protecting critical infrastructure - not restricting innovation. But the behind-the-scenes story (reported by Wired) is that the Trump administration has been genuinely divided on how hard to press AI companies. The result is a lighter touch than many expected.

For now, labs like Anthropic, OpenAI, and Google face no mandatory disclosure requirements. But "voluntary" frameworks have a way of becoming baseline expectations over time - especially when national security is the stated justification.

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Director Ash Koosha built a 75-minute drama about Iran's anti-government protests - the kind of film that would normally cost hundreds of thousands of dollars in CGI and production - for roughly $2,000. Next week it premieres at the Tribeca Film Festival, making it the first AI-made movie to screen at a major film festival.

Koosha says the CGI work alone would have cost millions through traditional production. Instead, he used AI image generation tools to build the visual world of the film in weeks rather than years. The story - covering the brutal crackdown on protesters in January - is the kind of politically urgent content that simply couldn't wait for a traditional production timeline.

This is the argument AI's defenders have always made about creative industries: it democratizes production for stories that wouldn't otherwise get told. Whether the film industry sees it that way is a different question entirely. If you're building creative projects and need a web presence fast, tools like 60sec.site can get an AI-built site up in under a minute - the same spirit of radically compressed timelines.

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Here's a number that tells you something real about enterprise AI adoption: Uber encouraged employees to use AI tools as much as possible, set an annual budget for it - and burned through the entire thing in four months. The company has now capped per-employee AI spending going forward.

This is the unglamorous reality of AI deployment at scale: the costs are real, they compound quickly, and they're hard to forecast when usage explodes. Uber's situation isn't unique - it's a preview of the conversation every large organization will have once they flip the "use AI everywhere" switch.

For anyone thinking about enterprise AI costs, our Token Calculator can help you model what API-based AI usage actually costs before you commit to a rollout. Uber probably wishes someone had done that math earlier.

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The answer is 2019! Microsoft made its first major investment in OpenAI in 2019, committing $1 billion. The partnership deepened significantly in 2023 with a reported $10 billion follow-on investment - which makes this week's move toward in-house models at Build 2026 all the more interesting to watch.

The Uber story got me thinking: has your team (or company) ever hit an unexpected AI cost wall? Or if you're using AI tools personally - do you actually track what you're spending? Hit reply and let me know - I read every response, and this one genuinely interests me.

That's it for today. More tomorrow - and there's a lot in the pipeline. Catch up on anything you missed in our newsletter archive and visit dailyinference.com for daily AI coverage.