AI Weekly Briefing: Is Meta Winning AI Without Winning

Meta's Muse Spark may have just shown that in AI, distribution matters more than benchmark bragging rights. This week I break down why Meta's new multimodal model matters beyond the rankings, why its HealthBench Hard score stands out, and why pushing a free model into Facebook, Instagram, WhatsApp, Messenger, and Ray-Ban Meta glasses could be a stronger commercial move than simply topping the leaderboard. I also dig into Anthropic's 3.5-gigawatt compute deal with Google Cloud and Broadcom, its reported $30 billion annualised revenue run rate, and what more than 1,000 enterprise customers each spending over $1 million a year says about where the real enterprise AI race is heading. From there, the episode turns to the anti-distillation coalition between OpenAI, Anthropic, and Google - including the 16 million exchanges and 24,000 fraudulent accounts Anthropic says were tied to Chinese firms such as DeepSeek, Moonshot AI, and MiniMax. Elsewhere: Google's NotebookLM and Gemini integration, BCG's warning that 50–55% of US jobs will be reshaped by AI rather than simply replaced, PwC's finding that 74% of AI's economic gains are going to just 20% of firms, Anthropic's new $0.08-per-hour managed agent infrastructure, Project Glasswing putting a restricted frontier model in the hands of Apple, Microsoft, and AWS for cybersecurity, Upwork inside ChatGPT, and why NIST's quiet work on AI agent standards in healthcare, finance, and education matters more than it sounds.