The AI bubble is being built for superstars. That is exactly why it will burst.

Recently, the CEO of Paysend made headlines for stripping AI access from most of his workforce while keeping it unlimited for about 30 "superstars" who demonstrated its value.

Other examples looked simpler: they tried replacing people outright or cutting selectively, and came back empty. Chisell went further: he looked at results, not headcount. He is heading the right way. And he is still drawing the line between people instead of defining new operations.

Silicon Valley loves the “superstar” narrative. The entire arm race, with parameters, context, autonomy, and task horizons, is built to serve the top of the ability curve, because their demos are the best and they ask the loudest.

But the operational reality is different: companies do not generate profit just because 30 individuals work faster.

Profit is the output of a completed operational process. If you give a jetpack to your 30 best people but leave your underlying processes unchanged, you haven't scaled your business. You have just moved the bottleneck. Spiking productivity in one isolated node without balancing the rest of the chain creates chaos, not efficiency.

The rest of the workforce isn't lazy. They are disconnected from the result of their work; their daily labour is abstract. They don't see the whole machine, so they use the tool to take shortcuts. Superstars see the business and market much better, so they can use AI more efficiently. You cannot fix that gap by handing out access and hoping everyone behaves like a star. You fix it by designing the process around the human and the tool to make the process more efficient.

AI capabilities are not overestimated, but the way firms use them is. That's the bubble.

When this AI bubble pops, and it will, because the "models for superstars" business plan is economically unsustainable, the survivors won't be the ones paying premium prices for the smartest model and waiting for heroes. They'll be the firms that architected sufficient AI into their operations and got real output from the whole workforce, not just the brilliant few.

Are you buying AI to entertain your superstars, or architecting it into your processes? Read Chapter 12 of Architecture of Intellect to see how the winners build their operating models.