“AI is increasing the intensity of work rather than reducing it,” per WSJ.
Everyone keeps talking about how AI is supposed to save time. That’s technically true. The problem is what happens next.
You finish something in half the time, and instead of getting breathing room, you get more work. Not later. Immediately. What used to be a full day turns into half a day, and now you’re expected to fill the rest. That’s what people are actually feeling right now. It’s not less work. It’s the same job compressed and then expanded again.
We’ve seen this before. Every time a tool makes work faster, the workload doesn’t go down. The expectation just moves. Spreadsheets didn’t reduce reporting. They multiplied it. Email didn’t simplify communication. It made it constant. Smartphones didn’t give people freedom. They made everyone reachable all the time. AI is doing the same thing, just faster and across more areas at once.
So yeah, it’s fair to ask if that creates a problem for all the hype around AI. If this tech is just making work more intense, does that start to crack the story behind the valuations and the spending?
Not really.
The bet on AI was never about giving people shorter workdays. That was never the point. The real value is in output. More output, faster cycles, and entirely new ways to build and deliver things. Companies are not investing hundreds of billions so people can log off early. They’re investing because they expect to do more with the same number of people, or the same amount with fewer.
What we’re seeing right now is the same pattern we saw with PCs and the internet. Productivity goes up, and instead of easing off, everyone leans into it. Expectations reset. The baseline shifts. What used to be impressive becomes normal almost overnight.
The numbers back that up. The spending is massive. Infrastructure, data centers, talent, all of it. And despite all the noise about bubbles, the money tied to AI isn’t collapsing. It’s uneven, sure, but it’s holding. That’s not what a bubble popping looks like. That’s what a buildout phase looks like.
This is the messy middle. The tech is real, the impact is uneven, and the pressure shows up before the payoff does. People feel it first. The broader gains come later.
The part nobody really wants to say out loud is that efficiency doesn’t reduce work unless someone decides to stop at a certain point. That almost never happens. Efficiency just becomes capacity, and capacity gets filled.
