Simon Kuznets in the Digital Age: What Would He Say About Cryptocurrencies and AI?

Simon Kuznets, the 1971 Nobel Prize laureate, essentially taught the world how to measure economic growth through the concept of GDP. However, he always warned that figures without the context of human well-being represent only half the truth.

Simon Kuznets was extremely cautious with forecasts. He would likely have described cryptocurrencies as a “high-risk social experiment” and AI as a “third industrial revolution” requiring an entirely new mathematical model for measuring labor productivity.

Simon Kuznets entered history as the architect of the system of national accounts. His approach rested on three pillars: empirical accuracy, long-term cycles, and the social impact of economic growth. If Kuznets were analyzing the digital revolution of the 2020s, his verdict would probably combine methodological skepticism with deep fascination for new forms of capital.

Cryptocurrencies: A New Asset or Statistical Noise?

For Kuznets, the key question would have been: “How does this asset contribute to the real national product?” He would likely have criticized modern GDP calculations for failing to account for the decentralized economy. From his perspective, cryptocurrencies represent a rethinking of “capital goods.”

He might have viewed blockchain as a tool to reduce institutional friction, which, in the long term, could stimulate growth in a manner similar to the introduction of a standardized currency in the past.

Artificial Intelligence and the Kuznets Curve

The scholar’s most famous concept — the Kuznets hypothesis — argues that in the early stages of development, new technologies increase inequality, but over time the gap eventually narrows.

Kuznets would likely have argued that AI is currently on the upward slope of the curve. It is creating an enormous concentration of capital in the hands of technological giants. His methodology would require a reassessment of “human capital.” While economic growth was once measured in labor hours, AI is turning intellectual rent into the main driver of the economy.

Kuznets often repeated: “The welfare of a nation can scarcely be inferred from a measure of national income.”

He would have insisted on including “digital leisure” and AI services that people receive free of charge in the structure of national wealth.

The Environmental Dimension

As a researcher of long cycles (Kuznets cycles lasting 15–25 years), he would also have focused on the enormous energy consumption of cryptocurrency mining and data centers as a form of “negative wealth” that reduces net product.

If Simon Kuznets were writing today, he would not focus on the price of Bitcoin. Instead, he would likely develop a new metric — “digital national product” — that would account not only for transactions, but also for the distribution of knowledge generated by AI.

His methodology reminds us that technology is only a tool, while the true measure of success in the digital economy lies in how evenly it distributes the benefits of progress across all layers of society.