AI Newsletter

Prediction markets with $8.2M volume see Anthropic with 95% probability as market leader in AI models by end of March 2026. Claude Opus 4.6 found 22 security vulnerabilities in Firefox in just two weeks (14 of them critical) – a PR coup against OpenAI. For June, the market sees Anthropic at 58% ahead of Google (22%) and OpenAI (10%), signaling a structural shift in model competition.

Meta's secret frontier model 'Avocado' misses internal benchmarks against Google, OpenAI, and Anthropic in reasoning, coding, and writing. In response, Meta invested $14.3B in Scale AI and appointed their CEO Alexandr Wang as new Chief AI Officer. In parallel, Meta plans significant layoffs according to Reddit threads with 647 points, as AI costs escalate – a sign of structural pressure on Big Tech AI budgets.

The escalated dispute between OpenAI and Anthropic over Pentagon contracts has produced an unexpected winner according to Axios: Google. 'OpenAI appeared opportunistic, Anthropic was blacklisted – Google won the most and nobody talks about it', according to analyst Patrick Moorhead. Meanwhile, Microsoft built Copilot Cowork on Claude – a strategic realignment that concretely challenges OpenAI's monopoly in Microsoft products for the first time.

Mistral launched the 'Forge' platform at NVIDIA GTC, enabling enterprises to build their own AI models without cloud dependency – a direct attack on OpenAI's and Anthropic's enterprise strategy. In parallel, Mistral released Leanstral, the first open-source code agent for mathematical proof-building, and consolidated three previous models (Magistral, Pixtral, Devstral) into 'Mistral Small 4'. Europe's leading AI lab positions itself as a sovereignty alternative for enterprise customers.

Bloomberg openly asks whether the AI bubble is bursting: leading AI developers are pushing into financial and legal services and massively threatening legacy software providers. Morgan Stanley warns in a new report that a transformative AI breakthrough is coming in the first half of 2026 – and the world is not ready. Chamath Palihapitiya adds: while AI increases individual productivity tenfold, enterprises as overall organizations are still barely profiting – a structural problem for ROI evidence.