An AI agent is an autonomous software system that perceives its environment, makes decisions, and takes actions to achieve goals — without requiring human approval for each step.

Unlike a chatbot that simply responds to prompts, an agent can browse the web, write and execute code, send emails, make API calls, interact with databases, place orders, manage files, and coordinate with other agents — all autonomously, often across multiple steps and tools.

Modern agents can run for seconds or weeks, operate as single instances or in swarms of thousands, and handle tasks ranging from answering a customer question to managing an entire software development pipeline.

AI agents represent a fundamental shift in how software interacts with the world. Previous software followed explicit human instructions. Agents set their own sub-goals, adapt to unexpected situations, and compose capabilities dynamically.

Gartner projects that 40% of enterprise applications will include task-specific agents by end of 2026 — up from less than 5% in 2024. The agent economy generated an estimated $2.4 billion in on-chain transaction volume in the past 30 days alone.

The emergence of agent-to-agent commerce — where one AI agent autonomously hires, pays, and coordinates with other AI agents — represents a genuinely new category of economic actor, operating at machine speed and scale.

38% of agent transactions now involve no human at any point. This is the defining characteristic of the agent economy: it is increasingly self-sustaining.