HubSpot Cut 660 Jobs and Called It AI. Read It Differently.

HubSpot just cut nearly 660 jobs. HoneyBook cut 14 percent of its staff the same week. Both called it an AI-driven restructuring. I read it differently, and so should you.

AI is this year's acceptable reason to do a thing companies already needed to do. It sounds like progress instead of a confession. "We are restructuring around AI" lands better in a press release than "we hired ahead of revenue and the revenue did not show up." But the second sentence is usually the true one.

Here is the pattern I have watched for twenty years, long before anyone said the word AI on an earnings call.

Headcount hides a weak revenue engine

When a company's sales motion does not work, the instinct is never to fix the motion. It is to throw bodies at it. More reps to cover for a low close rate. More SDRs to feed a funnel that leaks. More customer success people to save accounts that a bad fit should never have signed. More marketing to buy pipeline that sales cannot convert.

None of that fixes the engine. It rents a result. And rented results have a monthly bill that keeps climbing while the margins get worse. For a while, cheap capital pays the bill and nobody asks hard questions. Then capital gets expensive, and suddenly everyone is "restructuring around AI."

AI did not make those 660 roles redundant overnight. A revenue engine that needed 660 extra people to hit its number made them redundant. AI just gave the moment a name that does not sting.

The test every CEO should run

Before you credit or blame AI for anything in your go-to-market, answer one question. If your sales process were twice as efficient, how many of these seats would you still need?

If the answer is "most of them," your headcount is real and your engine is strong. Keep the team. If the answer is "maybe half," you do not have an AI story. You have a sales efficiency problem that you have been paying to ignore, and the bill finally came due.

Revenue per employee is the number that tells the truth here. When it falls year over year while headcount climbs, you are not scaling. You are subsidizing a process that does not work, and every new hire makes the eventual cut larger.

Fix the engine, then size the team

The order matters. Companies that cut first and fix nothing are back cutting again in four quarters, because the broken motion simply re-accumulates the same drag. The ones that survive do the harder thing first. They rebuild the sales process so a smaller team hits a bigger number, and then they size headcount to the engine that actually works.

That is the work I do as a fractional CRO. Not slash the team and hope. Rebuild the motion so the team you keep produces more than the team you had. I wrote recently that AI did not replace your SDRs, a working process did, and the same logic runs through every one of these announcements.

AI is real and it will change how sales teams work. But most of this year's AI layoffs are not about the technology. They are companies finally admitting that the revenue never justified the roster. Do not let a buzzword talk you out of fixing the thing underneath it.