Casey Newton
AI is shifting from conversational chatbots to autonomous agents that execute complex tasks over time with tools.
Jack Clark says an AI agent works like a colleague you can give an instruction to, which then goes away and completes the task.
The S&P 500 Software Industry Index dropped 20% as markets priced in code-writing AI agents replacing traditional engineering work.
Clark says users fail by treating AI agents like intuitive people; they are instead literal-minded genies requiring exact instructions.
To get professional results, humans must now act as architects, writing exhaustive specification documents for the agent to follow.
A key breakthrough is training reasoning models in active environments like spreadsheets, not just on predicting text.
These trained agents develop intuition, letting them course-correct - like pivoting a search strategy - without human intervention.
This autonomous course-correction ability is what will fundamentally rewrite the labor market for knowledge workers.