Half the Company, Gone

The stock went up.

Companies have been quietly trimming headcount and attributing it to "efficiency" for two years. Block did something different. Dorsey was explicit. AI did this. AI will keep doing this. And investors didn't flinch.

That combination, a named cause, a massive scale, and a positive market reaction, sets a precedent that every leadership team needs to reckon with. If the market rewards workforce reduction when it's tied to AI capability, the incentive structure is clear. And it runs in one direction.

The temptation is to treat Block as either a warning sign or a playbook. Neither framing is useful on its own.

The workforce planning question is real. If AI can automate 40-60% of certain operational functions, the honest answer is that many organisations are carrying capacity they won't need in 18 months. Ignoring this doesn't make it untrue. But executing it badly destroys institutional knowledge, team morale, and the trust that makes organisations function.

Speed matters less than sequence. Block moved fast. Whether they moved well is a separate question. The organisations that handle this transition with care will retain the people who make AI actually work: the ones who understand context, customers, and edge cases. The ones who cut first and think later will find their AI systems are only as good as the humans they kept around to supervise them.

The moral dimension is not optional. Four thousand people lost their jobs because a technology got good enough to replace their work. That's not a failure on their part. Organisations owe clear communication, genuine support, and honest timelines to the people affected. "The market rewarded it" is not an ethics framework.

Dorsey's claim that most companies will reach the same conclusion within a year is worth examining. He may be right about direction but aggressive on timeline. Enterprise AI adoption is uneven. Many organisations are still running pilots, not replacing departments.

But the trajectory is clear. The question for leadership teams isn't whether AI will change workforce composition. It's whether they'll approach that change with the planning and humanity it demands, or whether they'll wait until the pressure is so acute that the only option left is a Block-style cut.