Thirty major model releases in thirty days. A billion-dollar product killed in six months. And the White House finally put a federal AI framework on paper - while 45 state legislatures introduced 1,561 AI bills without waiting. That was March.
Over the past year, we’ve tracked the widening gap between what AI systems can do and what our institutions are prepared to handle. What shifted this month is that the contradictions stopped being abstract. They’re showing up structurally - in unit economics, in protocol governance, in the leverage that $25 billion in annualized revenue buys at the policy table.
This month, every thread has been pulling all at once.
News Highlights
The model wars have entered a new phase and it’s no longer about who’s “best.” OpenAI shipped GPT-5.4 with a 1-million-token context window that scores above the human baseline on real desktop productivity tasks. Google’s Gemini 3.1 Pro leads 13 of 16 major benchmarks. Anthropic released Claude Opus 4.6 and Sonnet 4.6, with Sonnet dominating real-world coding agent workflows. Llama 4 pushed open-source into genuinely competitive territory with frontier systems. Meanwhile, the pace is so relentless that developers are reporting decision fatigue - evaluating and integrating models has become a full-time job. The gap between the top has compressed to the point where integration quality and cost structure matter more than raw capability. Model selection is becoming a workflow decision, not a theology.
And when the margins are that thin, the penalty for getting the workflow wrong is existential. OpenAI killed Sora on March 24, just six months after launch. The numbers were brutal: peak downloads of ~3.3 million collapsed to 1.1 million by February, inference costs of roughly $1 million per day against $2.1 million in total lifetime revenue. Disney’s $1B investment and character licensing deal evaporated overnight. The signal here isn’t about video generation specifically. It’s about what happens when capability gets ahead of unit economics. This is what growing up looks like and it’s a pattern we should expect to see repeated across the industry as Morgan Stanley warns the real shock is still ahead.
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