I’ve been reading a lot about autonomous AI teams managing end-to-end processes with minimal human intervention. The pitch is that you can replace multiple engineers with coordinated AI agents. But I’m wondering if that’s actually true or if we’re just moving the work around.
Right now, our main cost in workflow automation is paying people to monitor, troubleshoot, and adjust processes when things drift. If autonomous AI teams actually handle that orchestration themselves—coordinating between different agents, handling exceptions, making decisions without a human in the loop—then yeah, that’s a real cost reduction.
But I want to know: what does “minimal human intervention” actually look like? Are you still paying people to watch the agents? Are there classes of problems that agents just can’t handle, so you end up hiring someone whose only job is “handle what the agents can’t”?
How much of the labor cost reduction is real, and how much is just different kinds of work that are still expensive?