The Age of AI Employees Has Begun
Agents are being connected to the systems where work actually happens. That changes what companies buy, how they organise and what a productive employee looks like.
Software that plans, acts and completes work with supervision.
An AI agent is a system that uses a model to plan and execute multi-step tasks by calling tools, reading and writing data, and taking actions in software environments, typically with a human setting goals and reviewing outcomes.
Agent platforms are sold by frontier labs, cloud providers, systems-of-record vendors and specialised startups. Pricing is shifting from seats toward usage and outcomes.
Conversational interfaces make model capability legible to the public.
Models gain structured access to external tools and APIs.
Inference-time reasoning improves multi-step reliability.
Autonomous changes with test verification become routine in engineering teams.
Agents connected to business systems with permissions and audit trails.
Agents will become the default way enterprises consume AI. The winners will be those who own the system of record, the identity layer or the best verified reliability. Expect the interface of work to become a review queue.
Agents are being connected to the systems where work actually happens. That changes what companies buy, how they organise and what a productive employee looks like.
An explainer on the new attack surface created by AI agents with tool access, and the controls that decide how far enterprises can let them go.
A Deep Dive on enterprise agent deployment: the adoption curve, the market map, the technology, the risks and the opportunities.
Coding got agents first because it has a feedback loop. The lessons about specification, review and trust apply to law, finance and operations next.
What an AI-first operating model actually looks like, why investors are pricing it, and what incumbents must change to compete.
A five-item daily brief: what happened, why it matters and what to watch. Written by the desk, verified by editors.