While the unit cost of AI inference has plummeted 50x, overall spending on AI is surging. This is a textbook example of Jevons paradox, where radical efficiency gains lead to increased consumption and higher total expenditure as new applications become economically viable.

Artificial intelligence offers immense promise but currently poses significant risks. It's driving a potential financial bubble in tech stocks, and the resulting wealth effect is powering consumer spending, especially at the high end. This creates a precarious situation where a market correction could have major macroeconomic impacts.

Following George Soros's theory of reflexivity, markets act like thermostats, not barometers. Rising AI stock prices attract capital, which further drives up prices, creating a self-reinforcing loop. This feedback mechanism detaches asset values from underlying business fundamentals, inflating a bubble based on pure belief.

A significant gap exists between weak real income growth (~1%) and stronger real consumption (~2%). This suggests consumers are funding their spending through the wealth effect of a rising stock market, creating a fragile dependency on equity performance.

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.

A technology race involves many complementary products (e.g., power grids, chips, models). High asset prices signal the technology is viable, encouraging parallel investments across these layers. This coordinated spending ensures the entire ecosystem develops, preventing any single part from becoming a stranded asset.

The current AI investment frenzy is a powerful feedback loop. Silicon Valley labs promote a grand narrative to justify huge capital needs. Simultaneously, Wall Street firms earn massive fees by financing this buildout, creating a shared, bi-coastal incentive to keep the 'super cycle' narrative going, independent of immediate profitability.

In a high-impact AI scenario, massive productivity growth leads to gluts of goods and services. This causes prices to collapse, creating massive deflation. This deflation acts as a universal pay raise, dramatically increasing everyone's real wealth and purchasing power.

The massive investment in AI data centers is fueling a powerful economic cycle of equity appreciation and consumer spending. This dependence creates a significant risk, as any slowdown in this capital expenditure boom will have far-reaching negative consequences for the broader economy.