AI agents: the next great technological revolution

If AI chatbots — like ChatGPT — were the first wave, AI agents are the second. And they
promise to be far more transformative. The difference might seem subtle, but in practice
it’s enormous.
A chatbot responds to questions. An agent acts.
What is an AI agent?
An AI agent is a system that doesn’t just converse, but executes tasks autonomously —
making decisions, using tools, interacting with other systems, and pursuing goals over
time.
Think of it this way: you ask ChatGPT to “research my company’s competitors”. It gives
you a list based on what it knew up to its training cutoff. You ask an AI agent the same
thing. It goes to the internet, searches in real time, accesses sites, collects data, organizes
the information, generates a report, and delivers it to you — without you having to do
anything else.

How agents work

AI agents combine a language model as the “brain” with external tools: web browser,
programming code, service APIs, calendar, email, databases. The model decides when
and how to use each tool to complete the given objective.
This is what’s called a reasoning and action loop — the agent thinks, acts, observes the
result, thinks again, and acts again, until the task is complete.

Concrete examples that already exist

Claude Code, from Anthropic, can write code, test it, find errors, fix them, and repeat the
process until the software works. Devin, from Cognition, goes even further and can
develop complete software projects nearly autonomously.
Shopping agents can already compare prices across different sites, identify the best deal,
and complete the purchase — all from a single initial command.
In customer service, agents can resolve complete issues without human intervention: look
up customer history, check orders in systems, issue a refund, send a confirmation email.
What does this mean for regular users?
The promise is automating not just individual tasks, but entire workflows. Today you ask
the chatbot for help with each step. With agents, you describe the objective and it handles
everything.
This is transformative — and it also raises serious questions about oversight, security,
and trust. How much control do we want to delegate to autonomous systems? What
happens when an agent makes a wrong decision with real consequences?
We’re at the beginning of this journey. The next two or three years will show how far
agents can go — and where humans need to remain the decisive link.