The Industrialization of Intellectual Work

The industrial revolution did not eliminate human labor. It made it multiplicable.

That distinction matters. Machines did not make people irrelevant; they did something far more consequential. They multiplied human force. The tractor did not replace the field; it changed its scale. Steam did not abolish transport; it changed its speed. Electricity did not reduce economic activity; it extended its reach. Every major technological leap of modernity had the same underlying effect: it made a previously scarce capability more abundant, and precisely because of that, the world ended up using much more of it.

I think something similar is happening again, but on a different layer of civilization.

Artificial intelligence is beginning to do for intellectual work what the industrial revolution did for physical force. It is not multiplying muscle; it is multiplying the operating power to think, write, analyze, code, coordinate, synthesize, document, decide, and turn intention into executable systems. That matters far more than the usual conversations about productivity or automation suggest.

For decades, advanced economies shifted toward services. Value stopped concentrating so heavily around moving objects and started concentrating around moving information. Managing processes. Coordinating people. Designing software. Analyzing data. Writing proposals. Handling customers. Following up. Classifying, reviewing, communicating, documenting. Screen-based work became the raw material of a huge share of contemporary production.

And yet that work still carried a deeply human limitation: it was expensive because it relied on direct human attention.

For all its digital sophistication, much of the modern economy still operated with an almost artisanal core. There was software, yes, but there were also thousands of intermediate layers of human cognitive effort connecting broken systems, interpreting instructions, drafting from scratch, manually operating repeatable processes, and carrying work that never fully became infrastructure.

That is what is beginning to break.

Not because artificial intelligence “thinks like a human,” and not because it will fully replace human judgment. It breaks because a growing share of intellectual work can now be compressed, assisted, decomposed, standardized, and automated. The shift is not just that an isolated task takes less time. The shift is that the cost of producing useful cognitive work is beginning to fall at a scale that would have seemed improbable just a few years ago.

And when the cost of producing something valuable drops, economic history rarely responds with restraint. It responds with expansion.

That is where the Jevons paradox becomes useful again. Jevons observed that improving the efficiency of coal use did not necessarily reduce total coal consumption. In many contexts, the opposite happened: as coal became cheaper and more useful, new applications opened up, demand widened, and aggregate consumption increased. Not because economics had failed, but because people do not demand “efficiency.” They demand capacity. And when capacity becomes cheap enough, use cases emerge that were previously out of reach.

That is exactly what I believe will happen with software, automation, and intelligent systems.

We are not going to produce less software because it becomes cheaper to build. We are going to produce vastly more of it. More internal tools. More vertical software. More agents. More silent automation. More digital infrastructure wrapped around specific operations. More systems for problems that, until yesterday, were not worth solving because the cost of solving them was too high relative to the value they could capture.

That is the part of this transition that remains profoundly underestimated.

Many people still interpret AI mainly as a technology of substitution. I see it, above all, as a technology of expansion. Expansion of productive power, expansion of the range of solvable problems, expansion of the number of systems worth building, and expansion of what one person, or a very small team, can set in motion.

In that sense, AI is not merely a productivity upgrade. It is a new energy layer for intellectual work.

The first industrial revolution gave us energy applied to muscle. This second major computing revolution is giving us energy applied to operational knowledge. And just as mechanical energy reordered the field, the factory, logistics, cities, and trade, this new cognitive energy will reorder the firm, software, service work, and the way value is created in front of a computer.

That is why I find the obsession with asking only how many jobs AI will destroy so limited. It is a valid question, but far too narrow for the size of the phenomenon. The more interesting question is different: what happens when intellectual work stops being so expensive? What happens when we can finally industrialize a portion of cognitive labor that remained almost artisanal for decades?

My intuition is simple: we will not do less. We will do much more.

Systems will be built that previously made no economic sense. Niches will be automated that previously could not justify a team. New products, new software layers, new operations, and new firms will emerge around demand that went unanswered simply because solving it was too expensive. Just as the industrial revolution did not leave us with nothing to do, this new revolution will not leave us without useful work. It will leave us, instead, with a new abundance of capacity to build.

And that changes the world far more profoundly than any demo.

Because when a society multiplies physical force, it changes its infrastructure. But when it begins to multiply intellectual force, it also changes the speed at which it can redesign itself.

That is the transformation that interests me.

Not artificial intelligence as spectacle. Not AI as fear. Not AI as product decoration. But AI as the moment when intellectual work finally began to become multiplicable.

That does not feel like a footnote in economic history to me.

It feels like the beginning of a new era.