Why is every "autonomous agent" built for companies and not for the people?
Summary
The article questions why most autonomous agents are developed for business use rather than for individual users, pointing out a gap in AI accessibility.
Similar Articles
After building AI agents for a year, I've started believing most businesses don't actually want agents.
After a year of building AI agents, the author argues that businesses don't actually want autonomous agents—they want specific outcomes like reduced support tickets and manual work, and simpler, reliable solutions often deliver more value than highly autonomous systems.
Autonomous agents are overrated until the business is readable
The author argues that autonomous AI agents are overrated without structured business context and scoped jobs, sharing practical insights from client work where agents run on fixed cadences with human oversight on writes.
I’ve been building AI agents for businesses recently and I think most people are overestimating autonomy and underestimating reliability.
The author argues that in enterprise AI agent development, operational reliability and stability are more critical than high autonomy, advocating for controlled intelligence over fully autonomous systems.
Do you guys actually think AI agents can replace people for bigger tasks anytime soon?
The author reflects on the current limitations of AI agents for complex, long-running tasks, citing reliability issues and suggesting that agents are better suited for narrow, supervised tasks rather than full autonomy.
Can someone help me buy in or understand the use case for AI Agents?
A software developer questions the practical value of AI agents, expressing concerns about control, accountability, and whether manual automation combined with LLMs is more reliable than delegating to autonomous agents.