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Investment firm Apollo outlines a 'fork in the road' scenario where interest rates are likely to fall regardless of AI's ultimate outcome. If AI succeeds, massive productivity gains create a deflationary effect. If it fails, the resulting market crash will trigger a flight to the safety of treasury bonds, also driving down yields and rates.
A strong argument suggests that robust economic spending combined with weak labor growth points to higher productivity, potentially from AI. Because productivity gains are disinflationary over the long term, this could give the Fed justification to lower interest rates now without worrying as much about current inflation levels.
Typically, accelerating economic growth leads to higher inflation expectations and bond yields. The current trend of falling break-evens alongside positive growth data is unusual. The residual factor explaining this divergence is a market-wide bet that AI will unleash a massive, disinflationary productivity wave.
The massive capital investment in AI by major tech companies has the potential to significantly boost national productivity. This productivity gain could, in turn, lower inflation, providing the Federal Reserve with a rationale to decrease interest rates.
Jason Oppenheim argues that AI's efficiency will cause massive deflation, forcing interest rates down. He is personally investing heavily in long-term treasuries (like TLT and TMF) to profit from this trend, anticipating their value will rise as rates fall.
While economic principles suggest AGI will be hugely deflationary, Sam Altman points out a paradox. The massive, urgent investment required to build AI compute could drive a strange, inflationary period where capital is extremely valuable, creating profound uncertainty about interest rates.
AI is creating a secular trend of higher productivity but lower labor demand, leading to a 'jobless recovery' and structurally higher unemployment. This consistent threat to the Fed's maximum employment mandate will compel it to maintain dovish monetary policy long-term, irrespective of political pressures or short-term inflation data.
As AI gets exponentially smarter, it will solve major problems in power, chip efficiency, and labor, driving down costs across the economy. This extreme efficiency creates a powerful deflationary force, which is a greater long-term macroeconomic risk than the current AI investment bubble popping.
Economists are weighing two contradictory negative scenarios for AI. One where its rapid success causes massive job upheaval, and another where it fails to meet investor hype, leading to a stock market collapse and recession much like the dot-com bubble.
A rapid, broad adoption of AI could significantly boost productivity, leading to faster real GDP growth while simultaneously causing disinflation. This supply-side-driven scenario would present a puzzle for the Fed, potentially allowing it to lower interest rates to normalize policy even amid a strong economy.
Technological revolutions like AI boost productivity, which increases the neutral interest rate (r-star). Central banks that cut policy rates below this new, higher r-star risk creating asset bubbles and inflation, a mistake former Fed Chair Greenspan made during the dot-com boom, according to economist Paul Samuelson.