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The current wave of AI technology is more likely to replace knowledge workers than low-skill manual laborers, reversing previous automation trends.
The largest and most profitable companies in the U.S. have shifted their strategy from generating high free cash flow to making significant capital expenditures.
Large technology companies are now spending significant amounts of cash to build expensive data centers.
The labor share of economic output in the U.S. has been declining over time, with a larger portion of income going to firm owners and a smaller portion to workers as wages.
The ratio of total U.S. corporate market value to total free cash flow does not exhibit a long-term upward trend, unlike the price-to-earnings ratio.
In the U.S. corporate sector, wages and salaries as a share of output fell by approximately 8 percentage points between 1980 and 2022.
A small number of firms, approximately 50, account for most of the growth in total U.S. stock market value.
The approximately 50 firms driving most of the U.S. stock market's value growth are the same firms that have experienced the fastest growth in free cash flow.
The widespread adoption of AI is likely to cause a further reduction in the labor share of national income.
The belief that firms can realize the productivity benefits of AI without significant capital investment is incorrect.
High stock market valuations could be sustained if the negative impact of AI-related capital expenditures on free cash flow is offset by significant labor cost savings from AI-driven headcount reductions.
The U.S. net foreign asset position has been declining rapidly over the last 10 years.