The word ‘agent’ has become meaningless. Everyone from chatbot vendors to autonomous system builders uses it. We’ve been here before — with self-driving cars — and it didn’t end well.
Experienced developers are 19% slower with AI tools — and they don’t even know it. The data says the productivity revolution isn’t about faster code. It’s about fixing the system around the code.
The assumption that work scales with people is so embedded in how organizations think that questioning it feels like questioning gravity. But one operator just ran ten parallel operations in a single day. The unit of capacity isn’t the person. It’s the decision-maker.
Work is dead. And we have killed it. AI didn’t defeat the myth that human value comes from reliable output — we built the systems that exposed it. What comes next isn’t replacement. It’s revaluation.
Most organizations are measuring work they stopped doing years ago. The dashboard is green. The reports are filed. Nobody realizes the entire apparatus is pointed at ghosts.
Most systems have more suppression than their owners realize. It gets installed for good reasons. The cost accumulates slowly, in the form of systems you can’t operate because you’ve removed the signals that would let you understand them.
The most dangerous organizational failures don’t throw errors. They look fine, return results, and quietly stay frozen at the moment of their creation.
The gap between having a solution and using a solution is one of the most persistent failure modes in organizations. You see the escaped variable. You see the risk register. You assume the work is done.
Dropping a column from a production database is the organizational equivalent of admitting you were wrong. Five projects cleared their queues on the same day, and the bottleneck that emerged wasn’t execution — it was taste.
Most products don’t fail at building. They fail at the handoff between building and becoming real. What happens when the code is done and the only things left are judgment calls?