There are Two Types of Economies, AI and Everything Else, says Tchir

The economy is increasingly divided between the booming AI-driven compute sector, which is driving strong but potentially fragile market growth, and the broader economy where earnings growth is less robust and more uncertain. Market volatility is expected to remain high due to sensitivity around compute demand and structural factors, while easing inflation may prompt a more dovish Federal Reserve stance, influencing future monetary policy and market dynamics.

The discussion begins with the idea that the economy can be viewed as two distinct parts: the AI-driven data center compute sector and the rest of the economy. The AI compute sector has been booming, with data centers being built extensively and companies willing to pay higher prices for compute power. However, there are emerging signs of potential shifts, such as Meta considering selling excess compute capacity, which signals a possible change from the previous norm where having insufficient compute was the only mistake. This raises concerns about the sustainability of compute spending and its critical role in driving the broader market.

As the earnings season for the first quarter approaches, there is recognition that while overall earnings have been strong, much of the growth has been concentrated in a few key companies. When these are excluded, the broader market’s earnings performance appears less robust. This suggests that maintaining strong earnings growth will be more challenging moving forward, especially given the high market valuations. The focus is shifting towards the certainty of future sales, particularly over the next one to two years, with compute demand being a central factor in these projections.

Looking ahead to upcoming Federal Reserve decisions and major tech earnings reports, there is an expectation that the market has already priced in continued strong demand for compute resources. Any indication of a slowdown or uncertainty in compute spending could disproportionately impact the market. The current market structure, including leveraged ETFs like SOXL, tends to amplify price movements, which could lead to heightened volatility both on the upside and downside, making the market more sensitive to news related to compute demand.

The conversation also touches on inflation and monetary policy, highlighting that inflation appears to be declining, aided by factors such as lower oil prices. The speaker praises Fed official Warsh for effectively addressing inflation and suggests that inflation metrics may soon justify a more dovish stance from the Fed. This could mean fewer interest rate hikes in the near future, contrary to some market expectations that anticipate continued hawkishness.

Overall, the key takeaway is that the AI-driven compute economy is a major growth engine but also a potential source of risk if spending slows. Earnings growth is becoming more nuanced, with a need for visibility into long-term sales commitments. Market volatility is likely to remain elevated due to structural factors, and monetary policy may become more accommodative as inflation pressures ease. These dynamics will be critical to watch in assessing the market’s trajectory in the coming months.