Here’s what’s worth your time today.

Anthropic confirmed it briefed the Trump administration on its new Mythos model, despite an ongoing legal battle with the Pentagon over access and usage restrictions. The move shows how tightly AI development is now tied to national security, even as companies push back on military use cases like surveillance and autonomous weapons. The bigger signal is clear: frontier AI models are becoming sensitive enough that governments are being looped in before public release.
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Allbirds is planning a dramatic pivot from sustainable footwear to AI infrastructure, aiming to reinvent itself as a GPU-as-a-service provider under a new “NewBird AI” identity. After its valuation collapsed by more than 99% since IPO, the company is looking to raise fresh capital and repurpose its public listing to enter the booming compute market. The bigger signal is peak AI moment: even struggling consumer brands are trying to reposition as AI infrastructure plays, chasing where capital and hype are flowing.
OpenAI has acquired personal finance startup Hiro in what looks like a classic acqui-hire, bringing founder Ethan Bloch and a small team into the company while shutting the product down. Hiro focused on AI-driven financial planning, helping users model decisions using real financial data. The move signals OpenAI’s continued push into higher-value, domain-specific applications, especially in finance, where accuracy and trust matter more than generic chatbot capabilities.
Anthony Pompliano’s ProCap Financial is launching a fully AI-generated podcast powered by agent-driven market research, aiming to deliver institutional-grade insights to retail investors at a fraction of the cost. The broader signal is bigger than media, AI isn’t just summarizing information anymore, it’s starting to produce entire research and distribution layers, potentially breaking the grip traditional Wall Street firms have on expensive financial intelligence.
Companies are moving past vague AI talk and starting to report real, measurable impact, with 25% of S&P 500 firms now citing quantifiable results on earnings calls, up from 13% a year ago. From faster product design to reduced coding headcount and quicker content creation, early gains are emerging across industries. The bigger signal is that AI adoption is shifting from experimentation to execution, but most companies are still early, meaning the real productivity impact is likely still ahead.