Baumol's Cost Disease

In the 1960s, economists William J. Baumol and William G. Bowen noticed something awkward: some sectors get relentlessly more productive, and others… don’t. Yet wages tend to rise across the board. That tension is the known as Baumol Effect, or Baumol’s Cost Disease.

Imagine a string quartet. In 1826, it took four musicians 40 minutes to perform a Beethoven piece. It still does. No amount of managerial enthusiasm or digital transformation reduces that labor input without changing the product. Meanwhile, semiconductor fabrication or logistics software doubles output per worker every few years. Productivity soars there.

Here’s the catch: In the real world, musicians’ wages must compete with engineers’ wages. In “stagnant” sectors like the live arts – or healthcare, education, parts of law and government –  output per worker doesn’t move. And yet, largely due to scalable, high-productivity sectors the broader economy grows richer, pay rises everywhere. This means that costs rise without commensurate productivity gains in certain sectors. Prices follow.

The late surge in Big Tech complicates the story. It supercharges scalable sectors—cloud computing, AI-driven analytics, automated trading—driving marginal costs downward. For all the hype, these tech advances often complement, rather than replaces, human labor in complex services. A great many legal services can be handled by an AI agent, interpreting the law in a way that gets you off the hook still requires a highly trained human. A university can stream lectures globally; mentoring remains stubbornly one-to-one.

The result is a structural divergence: tech-rich sectors get cheaper and more powerful; human-intensive sectors get relatively more expensive. That’s not necessarily inefficiency, really, but understanding the potential, and limits of certain technologies.