Why AI Is Like a Gold Mine
In this opinion piece, Andy Kessler draws a compelling parallel between the volatility of technology stocks, particularly in the AI sector, and the historical behavior of gold mining stocks. Recalling advice from a Wall Street veteran, Kessler explains that investors should buy tech stocks when their price-to-earnings (P/E) multiples are high or infinite, and sell when these multiples are low. This counterintuitive strategy mirrors the lifecycle of gold mines: newly public mining companies attract speculative capital but initially suffer from heavy equipment costs and minimal profits, causing stock prices to collapse. As extraction progresses and profits rise, the P/E multiple shrinks, signaling the optimal time to exit. Although Kessler was initially skeptical of comparing tangible gold extraction to the intellectual output of chips and software, his market experience confirmed the analogy. The article suggests that current AI investments follow this same pattern of early speculative hype, followed by a period of financial strain and volatility, before eventual profitability stabilizes valuations. Investors are urged to understand this cyclical nature to navigate the turbulent landscape of modern technology equities effectively.
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Why AI Is Like a Gold Mine
In this opinion piece, Andy Kessler draws a compelling parallel between the volatility of technology stocks, particularly in the AI sector, and the historical behavior of gold mining stocks. Recalling advice from a Wall Street veteran, Kessler explains that investors should buy tech stocks when their price-to-earnings (P/E) multiples are high or infinite, and sell when these multiples are low. This counterintuitive strategy mirrors the lifecycle of gold mines: newly public mining companies attract speculative capital but initially suffer from heavy equipment costs and minimal profits, causing stock prices to collapse. As extraction progresses and profits rise, the P/E multiple shrinks, signaling the optimal time to exit. Although Kessler was initially skeptical of comparing tangible gold extraction to the intellectual output of chips and software, his market experience confirmed the analogy. The article suggests that current AI investments follow this same pattern of early speculative hype, followed by a period of financial strain and volatility, before eventual profitability stabilizes valuations. Investors are urged to understand this cyclical nature to navigate the turbulent landscape of modern technology equities effectively.
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