Historical data suggests that while technological revolutions modernize the world, they consistently destroy investor capital through high prices and systemic risk.

The Anatomy of a Revolution

A technological revolution is a profound event that modernizes existing industries and increases the full spectrum of economic productivity. It is easy to believe that today’s digital giants are unprecedented, but the relationship between financial capital and innovation has followed a remarkably consistent pattern for centuries. As scholar Carlota Perez outlined, these cycles begin with an 'eruption' of incremental advances, followed by two or three decades of 'installation.' This phase is often turbulent, creating social divisions and regulatory turmoil as the new technology replaces the old.

The installation period historically culminates in a major technology bubble. These frenzies—from Canal Mania and Railway Mania to the Dot-com boom—are spurred by the extraordinary profits of early movers. Eventually, the bubble collapses, leading to a new regulatory framework and a final 'deployment' period of organic growth. By the time a technology reaches this mature state, its ability to generate outsized returns for investors has usually vanished, even as its utility to society reaches its peak.

The Math of Uncertainty

While it is tempting to dismiss these bubbles as mere 'irrational exuberance,' there is a mathematical logic to high prices during a revolution. Economists Lubos Pastor and Pietro Veronesi have shown that higher uncertainty about a company’s average profitability actually leads to higher stock prices. Using the Gordon Growth Model, we can see that stock prices have a convex response to changes in dividend growth. Because of Jensen's Inequality, when growth rates are uncertain, the expected growth rate required to justify a high price is actually lower than if the growth were guaranteed.

In simpler terms, when a company might be the next Microsoft but might also be nothing, the market assigns a premium to that massive potential range of outcomes. As the technology matures and the market learns the actual profitability of these businesses, uncertainty decreases. Counter-intuitively, this reduction in uncertainty causes prices to fall. The 'bubble' is often just the market processing a transition from a world of infinite possibilities to one of measurable realities.

When the New Economy Becomes the Old

Early in a revolution, the risks associated with a new technology are idiosyncratic—they are specific to a small, experimental sector. However, as a technology is adopted by the broader 'old economy,' the risk shifts. It becomes systematic. The new economy’s fate becomes tied to the entire market, and its 'beta'—or sensitivity to market movements—increases sharply. During the Dot-com era, the NASDAQ’s beta doubled between 1997 and 2002.

This shift creates a paradox for the investor: betting that a technology will be adopted on a broad scale is simultaneously a bet that its stock price will eventually decline. As the technology becomes a utility for the entire economy, the discount rate applied to its future profits rises to reflect its new systematic risk. The very success of the technology as a tool for productivity is often the catalyst for the decline of its stock's premium valuation.

The Price of Growth

Investment returns do not come from a company’s growth in isolation; they come from the relationship between that growth and the price paid for it. The historical record is littered with examples of investors overpaying for the future. Jeremy Siegel noted that if an investor had bought the original firms of the S&P 500 in the 1950s—dominated by then-stagnant industries like steel and chemicals—and simply held them, they would have beaten the actual, tech-heavy index by more than 1% per year over the following half-century.

Consider the railroad industry. Between 1900 and 2019, railroads fell from 63% of the US stock market to less than 1%. Yet, over that span, rail stocks actually outperformed the broader market, as well as the newer road and air transportation sectors. Similarly, since 1971, the oil industry’s share of the market has collapsed while software has exploded. Yet a dollar invested in an oil index in 1971 would have grown significantly more than a dollar invested in software. The 'declining' industry was priced for failure and delivered a pleasant surprise, while the 'winning' industry was priced for perfection and struggled to meet the hype.

The Lottery of the New

Many investors hope to find the next Apple or Google before they become giants, but this is more akin to playing the lottery than disciplined investing. Stock returns exhibit 'positive skewness,' meaning a tiny handful of stocks account for the vast majority of market gains while the average stock performs poorly. This is even more pronounced in IPOs and venture capital, where roughly two-thirds of financings lose money. The odds of picking the specific winner of a technological shift before the fact are overwhelmingly against the individual investor.

Ultimately, investing in technological revolutions is one of the least successful strategies in financial history. Whether driven by irrational frenzy or the rational pricing of uncertainty, the result is the same: high entry prices that lead to low realized returns. While the allure of the 'new' is powerful, the historical record suggests that the most reliable path to wealth is often found in the unexciting, low-priced industries that the rest of the world has left for dead.