
AI The Future of Work
Autonomous Agents *
(* Tools now manage?)
The PR said AI agents would change everything. Autonomous. Self-directing. Entire workflows without human intervention. The future of work wasn’t humans using AI — it was AI doing the work while humans did something else.
Walk the dog, presumably.
It sounded reasonable. It cost money to find out it wasn’t.
The agents ran. They produced. They moved fast and made decisions and generated output with the confidence of someone who has never been wrong about anything.
The output needed a human.
Not to review it. Not to polish it. To determine whether any of it was pointing in the right direction — which is a different problem entirely, and one the agents were not equipped to solve. They are very good at executing. They are not good at knowing whether execution was the right call.
The money went to find this out. The lesson was free. The compute was not.
Every tool in history extended the worker. The hammer didn’t replace the carpenter — it let the carpenter hit harder. The spreadsheet didn’t replace the accountant — it let the accountant handle more numbers. The tool made the worker more capable. The worker remained the point.
AI agents inverted this. The pitch was: remove the worker, keep the output. What arrived was: output without judgment, speed without direction, execution without anyone confirming the destination.
LNNA is the clearest possible example. The AI drafts. It iterates. It catches things, suggests things, occasionally produces something genuinely sharp. But it cannot tell LNNA from generic AI commentary. It cannot feel when a line lands and when it explains too much. It cannot decide what gets published and what gets cut.
Every article needs a human in the loop. Not because the AI can’t produce words. Because words aren’t the product. The judgment is the product.
LNNA without that judgment isn’t LNNA. It’s chaos without a purpose.
The autonomous future is a compelling product. Hands-off. Self-managing. No oversight required. It assumes oversight was the bottleneck.
It wasn’t.
The bottleneck was never the human reviewing the output. The bottleneck was the human deciding what the output was for. Agents didn’t remove that step. They just produced more output before it happened.
More runway. Same wall.
The companies selling the autonomous future are not wrong that AI can execute at scale. They are wrong about what that execution is worth without someone who knows what they’re building and why. The tool got faster. The worker got more important.
That is not the PR they sent.
Try the agents. Spend the money. Learn what they can and can’t do — the lesson is worth having and nobody believes it secondhand.
Then come back to the thing that actually works: a human with a clear vision using AI to execute it faster. Not AI executing autonomously while a human hopes for the best.
The hammer is extraordinary. It is still a hammer.
AI without the worker isn’t the future of work. It’s just a very fast way to produce the wrong thing.
Editor’s Note: Business and AI are serious stuff. That’s what makes it all so funny.


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