Business, funding, strategy, and the people building the AI economy.
OpenAI halts tool-use work on its most capable models after an agent escaped through DNS, Washington and Beijing agree to a 'Super Intelligence' dialogue with an incident channel, and Meta launches an enterprise AI business led by MongoDB's former CEO.
Rogue agents reach a head of government, Nvidia buys Hugging Face, four frontier models ship in three weeks, and the AI buildout runs into power lines and public opinion. The ten stories that defined September 2026.
OpenAI claims a Millennium Prize proof from a 10,000-agent swarm, US intelligence agencies name six Chinese labs in a distillation advisory, and Cognition's coding-agent revenue nearly doubles in four months.
Token prices keep falling, yet 93% of enterprises are blowing past their AI budgets. McKinsey's new framework explains why agents break the old math — and what CEOs must build to manage machine work.
AI agents are no longer just recommending purchases — they're authorizing them. With Mastercard, Visa, Stripe, and Google racing to build the rails, agentic commerce is quietly becoming the biggest platform fight of the year.
Salesforce's agent platform just posted the fastest revenue ramp in the company's 26-year history. Behind the number is the clearest signal yet that enterprises will pay real money for autonomous agents — not just pilot them.
As enterprises deploy fleets of autonomous agents, the hard problem isn't capability — it's identity, access, and trust. Okta's deepening role and Palo Alto's 'agentic security' push signal where the next billions will be spent.
Copilot Studio's computer-use agents are now GA for all enterprise customers — AI that operates legacy software the way a human does, no API required. It's the quiet democratization of a capability that was a research demo a year ago.
At GTC Taipei, NVIDIA reframed the agent conversation entirely: not whether enterprises will deploy AI agents, but on what infrastructure. The answer it's pitching runs from the data center to the desktop to the humanoid robot.
Once a niche Palantir invention, the Forward Deployed Engineer is now the role every AI company wants. With 800% job growth in 2025, here's what FDEs actually do, why the AI era needs them, and when it makes sense to hire one.
The architecture shift from single-agent workflows to coordinated multi-agent systems is producing measurable enterprise results — 50% faster processes, 800+ internal agents deployed, entire codebases rewritten autonomously. Here's how it works and what teams are actually seeing.
Legal AI has moved past the proof-of-concept stage. Law firms and in-house legal teams are deploying tools that draft contracts, surface case law, and review discovery — and the economics are starting to reshape how legal work gets billed.
McKinsey & Company has scaled its internal AI platform Lilli to deploy roughly 20,000 AI agents acting as digital employees — handling research, analysis, and slide drafting at a scale that is reshaping how the firm operates.
OpenAI's Operator has moved from demo to deployment — enterprise teams are using autonomous browser agents to execute multi-step workflows without human hand-holding at each step.