Phil Heller

When a chatbot is the proximate cause of harm, who is responsible? For two years, the AI liability conversation lived almost entirely in law review symposia and white papers. The argument was theoretical: existing tort law, product liability doctrine, agency law, and statutory frameworks were all built for a world

In early May, Axios published a piece that should have rattled every managing partner in the country. The headline was about Big Law, but the argument is not really about law. Artificial intelligence is wiping out some of the entry-level work that trains the next generation of elite lawyers,

Today’s AI signal is not coming from a frontier lab, a state legislature, or an enterprise software rollout. It is coming from the Vatican. On Saturday, May 16, Pope Leo XIV approved the creation of an Interdicasterial Commission on Artificial Intelligence, formally coordinating the Vatican’s work on AI

This was the week the AI industry stopped looking like a product race and started looking like an industrial system - with deployment arms, governance layers, courtroom fights, congressional scrutiny, platform tensions, compute financiers, and a private-market valuation race that just produced its first credible challenge to OpenAI's

Today’s AI news is unusually concentrated around one company: OpenAI. Not because OpenAI launched the biggest new model of the week. It didn’t. The bigger story is that OpenAI is now being tested on every institutional front at once: founder conflict, platform dependence, IPO-readiness, partner expectations, enterprise

Nvidia is no longer just the company selling chips into the AI boom. It is increasingly acting like the central infrastructure layer of the AI economy: supplier, investor, ecosystem builder, research patron, market bellwether, and strategic partner to the next generation of AI labs. That is why today’s Nvidia

Today’s AI story is not just that Anthropic launched more tools for lawyers. It is that AI is moving into the highest-trust parts of professional work: legal research, contract review, e-discovery, cybersecurity, enterprise governance, and the corporate structure of OpenAI itself. The theme is simple: the AI

Last week, the enterprise AI story was about frontier labs moving beyond APIs and subscriptions into implementation, workflows, and ROI. This week, OpenAI made that strategy explicit: it launched the OpenAI Deployment Company, a majority-owned deployment arm designed to put forward-deployed engineers inside real organizations and help businesses

After last week’s run of enterprise deals, finance agents, compute land grabs, and data-center backlash, today’s AI signal is more cultural and structural: AI is changing how offices sound, how companies justify layoffs, how labs buy capacity, how agents are governed, and how much of the AI

This was the week AI stopped looking like a product category and started looking like an operating layer for business, infrastructure, finance, software, health, and government. Not because one model suddenly changed everything. There was no single “GPT moment.” Instead, the week’s stories lined up in a more interesting