Business, funding, strategy, and the people building the AI economy.
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.