An AI stock market bubble, like the dot-com bubble of the late 90s, is primarily equity-financed, not debt-financed. Historically, the bursting of equity bubbles leads to milder recessions because they don't trigger systemic failures in the banking system, unlike collapses fueled by debt.

Stock market investors are pricing in rapid, significant productivity gains from AI to justify high valuations. This sets up a binary outcome: either investors are correct, leading to massive productivity growth that could disrupt the job market, or they are wrong, resulting in a painful stock market correction when those gains fail to materialize.

History shows that transformative technologies like railroads and the internet often create market bubbles. Investors can lose tremendous amounts of capital on overpriced assets, even while the technology itself fundamentally rewires the economy and creates massive societal value. The two outcomes are not mutually exclusive.

The AI boom's economic impact extends beyond direct investment. With AI plays driving 80% of stock market gains, a powerful 'wealth effect' is created. This disproportionately benefits the top 10% of earners, who in turn drive the majority of US consumer spending, fueling the broader economy.

Blinder asserts that while AI is a genuine technological revolution, historical parallels (autos, PCs) show such transformations are always accompanied by speculative bubbles. He argues it would be contrary to history if this wasn't the case, suggesting a major market correction and corporate shakeout is inevitable.

The most immediate systemic risk from AI may not be mass unemployment but an unsustainable financial market bubble. Sky-high valuations of AI-related companies pose a more significant short-term threat to economic stability than the still-developing impact of AI on the job market.

Unlike the 2008 financial crisis, which was a debt-fueled credit unwind, the current AI boom is largely funded by equity and corporate cash. Therefore, a potential correction will likely be an equity unwind, where the stock prices of major tech companies fall, impacting portfolios directly rather than triggering a systemic credit collapse.

A pervasive anxiety is growing in the tech world: the current AI boom might be the final opportunity to amass significant wealth before AI automates value creation, making money effectively worthless. This FOMO is driving a frenzy to get on the "right side" of the AI divide, fearing a future with a permanent, ultra-wealthy tech class.

The stock market's high valuation is based on AI generating huge profits, which implies replacing human workers. If AI is overhyped and jobs are safe, the market's core premise collapses, leading to a crash. This creates an economic dilemma where one major indicator must fall.