AI Is About to Stop Waiting for Instructions
Artificial intelligence has already changed how millions of people write, research, code, analyse information and search for answers.
But the next stage of AI could be considerably more disruptive.
Instead of simply asking an AI system a question and receiving an answer, imagine giving it a goal.
“Find me the best three hotels for a weekend in Rome, compare flights, work within a £1,000 budget and prepare an itinerary.”
“Analyse our company’s sales figures, identify why revenue fell, investigate the most likely causes and produce a presentation for Monday.”
“Find the bug in this software, repair it, test the fix and explain what you changed.”
The AI does not merely tell you how to perform those tasks.
It begins doing them.
That is the basic idea behind AI agents.
They are emerging as one of the most important developments in artificial intelligence because they potentially transform AI from a system humans constantly instruct into something closer to a digital worker capable of pursuing objectives independently.
OpenAI describes agents as systems that can independently accomplish tasks on a user's behalf, using an AI model to control a workflow and tools to interact with external systems.
Anthropic similarly distinguishes agents from fixed workflows by arguing that genuine agents dynamically decide how to proceed and which tools to use.
The difference may sound subtle.
Its implications are not.