The agent economy will be boring, and that's the point

Every agent demo I’ve watched this year ends the same way: something dramatic happens on screen — a flight gets booked, a spreadsheet reconciles itself, a support ticket resolves without a human touching it — and the room reacts like it just watched a magic trick. I understand the appeal. But I think the demo format is quietly misleading everyone about where the economic value actually shows up.

Value in automation has never lived in the dramatic case. It lives in the boring, repeated, slightly-annoying case that nobody wanted to keep doing by hand — expense categorization, invoice matching, log triage, the twenty-minute task that happens forty times a day across an organization. Those tasks don’t demo well. They’re not supposed to. Their entire appeal is that they’re small enough to be beneath notice and frequent enough to add up to real money.

This is why I expect the agent economy, once it actually arrives at scale, to look almost nothing like the current wave of announcements. The winning products won’t be the ones that can plan a multi-city vacation autonomously. They’ll be the unglamorous middleware that quietly closes the books three days faster or catches the duplicate payment before it clears. Nobody will write a thread about it. It will just show up, eventually, as a slightly better quarter.

There’s a pattern here that shows up in every prior wave of enterprise software, and it’s worth naming directly: the technology that gets the press coverage and the technology that gets the budget line are usually different technologies. Robotic process automation was boring for a decade before anyone outside finance departments cared, and it still moved more real work than most of what got demoed on stage during the same years. I’d bet on agents following the same curve — a long, quiet accumulation of narrow deployments, well behind the public narrative of what agents are “for.”

Part of why this matters practically: if you’re building in this space and optimizing for the demo, you’re optimizing for the wrong buyer. The person who approves a budget for a narrow, boring automation isn’t impressed by generality — they’re impressed by an error rate low enough to trust and a task specific enough that failure is easy to catch. Generality is a research goal. Reliability on a narrow task is a purchasing decision. Those are different products, built by different priorities, and conflating them is a common way to burn a year building the wrong thing.

None of this is an argument against ambition — the long-horizon, highly autonomous agents are a real and worthwhile direction, and some of them will eventually matter enormously. It’s an argument about sequencing and expectations. The boring deployments arrive first, they arrive quietly, and they’re where the actual GDP-relevant productivity gain shows up before anyone writes the retrospective calling this “the year of agents.”

So when I try to track how this technology is actually landing, I’ve stopped watching launch videos and started watching the unglamorous signals instead: which back-office workflows quietly stopped needing a headcount increase, which vendors are selling narrow agentic tools with no fanfare at all, where error budgets are tight enough that a system is trusted to run unsupervised. That’s a slower story to follow than a demo, and a much better predictor of where this actually goes.