Sep 10, 2026 · 11 min · 8 segments
In this episode, we discuss how AI’s investment boom resembles the dot-com era, while highlighting key differences that could shape investor risks and opportunities. The discussion and content…
One of the ways investors interpret market cycles is by comparing them with seemingly similar periods in history.
Past regimes can provide useful models for how the present may unfold, helping investors more quickly recognize market dynamics.
People frequently judge unfamiliar situations by asking how closely they resemble a familiar category, a shortcut Daniel Kahneman and Amos Tversky called the representativeness heuristic.
But resemblance can be misleading when investors focus on a few salient similarities while neglecting differences in market structure, financing, or the political environment.
I would not be the first to draw a connection between today's artificial intelligence boom and the dot-com era.
Like the Internet, AI is a transformational general-purpose technology that can be adopted across much of the economy.
In each case, investors have had to price companies before the technology's ultimate impact and the distribution of its economic benefits could be fully known.
What proved mistaken during the dot-com bubble was not the proposition that the Internet would transform the economy.
It was the assumption that many specific companies would capture substantial portions of that value and, crucially, pass it on to the owners of their securities.
The Internet created enormous value, but much of it accrued to consumers or to a relatively small number of eventual winners.
many companies that financed the transition disappeared.
The technology may be transformative without every AI-related investment being attractive at its current market price.
The Analogies Limits If an analogy helps us recognize both similarities and distinctions, then it can be useful.
But relying on it too heavily risks analogical overreach, a form of representativeness in which the present is assumed to follow the exact same pattern as an apparently similar historical episode.
Notably, several differences between the dot-com and AI periods deserve attention.
One of the ways investors interpret market cycles is by comparing them with seemingly similar periods in history.
Past regimes can provide useful models for how the present may unfold, helping investors more quickly recognize market dynamics.
People frequently judge unfamiliar situations by asking how closely they resemble a familiar category, a shortcut Daniel Kahneman and Amos Tversky called the representativeness heuristic.
But resemblance can be misleading when investors focus on a few salient similarities while neglecting differences in market structure, financing, or the political environment.
I would not be the first to draw a connection between today's artificial intelligence boom and the dot-com era.
Like the Internet, AI is a transformational general-purpose technology that can be adopted across much of the economy.
In each case, investors have had to price companies before the technology's ultimate impact and the distribution of its economic benefits could be fully known.
What proved mistaken during the dot-com bubble was not the proposition that the Internet would transform the economy.
It was the assumption that many specific companies would capture substantial portions of that value and, crucially, pass it on to the owners of their securities.
The Internet created enormous value, but much of it accrued to consumers or to a relatively small number of eventual winners.
many companies that financed the transition disappeared.
The technology may be transformative without every AI-related investment being attractive at its current market price.
The Analogies Limits If an analogy helps us recognize both similarities and distinctions, then it can be useful.
But relying on it too heavily risks analogical overreach, a form of representativeness in which the present is assumed to follow the exact same pattern as an apparently similar historical episode.
Notably, several differences between the dot-com and AI periods deserve attention.
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