THE DAILY BRIEF

DeepSeek released preview versions of a new flagship AI model one year after its initial breakthrough, positioning it as the most powerful open-source platform to compete with OpenAI and Anthropic. The move escalates the global AI race with a credible non-US alternative.

► Open-source AI from international competitors is eroding the moat of closed commercial models and forcing US AI leaders to compete on efficiency, not just capability.

Meta announced a multibillion-dollar deal to use tens of millions of Amazon's Graviton chips for its next-generation AI models, diversifying away from Nvidia amid ongoing chip scarcity. The partnership signals industry-wide desperation to secure non-Nvidia compute capacity.

► The race to build AI infrastructure is forcing major tech companies into vertical integration with chip makers, fragmenting the hardware ecosystem and reducing Nvidia's chokehold.

OpenAI released GPT-5.5 and GPT-5.5 Pro via API, with improvements concentrated in agentic coding, computer use, and scientific research requiring extended reasoning contexts. The new model ships just one week after competitor announcements, accelerating the release cadence.

► Faster model iteration cycles and focus on agentic capabilities signal that the competition is shifting from raw intelligence metrics to practical automation and developer tool performance.

Oracle closed $16 billion in financing for a massive Michigan data center with BofA underwriting $14 billion in bonds, dedicated to powering applications for OpenAI. The mega-project reflects the exploding infrastructure demand required to support large-scale AI deployment.

► Physical infrastructure—not just algorithms—is becoming the binding constraint and capital sink for AI leaders, with single projects now commanding capital comparable to small nations' budgets.