AI-infrastructure companies' earnings significantly exceed expectations, beating consensus revenue and margin forecasts.

The Kobeissi Letter reports that companies with AI exposure are delivering unprecedented earnings performance. In Q2 2026, S&P 500 companies exceeded earnings expectations by an average of 27%—a likely candidate for the strongest quarter in decades. The Nasdaq 100 exceeded expectations by 55%, while the Bloomberg AI Value Chain Index—which tracks chip manufacturers, cloud and data center operators, memory and hardware suppliers, network equipment providers, and companies supporting AI power infrastructure—exceeded expectations by 71%.

Demand for AI infrastructure and supply chains is driving this outperformance. Capital is continuously flowing into chips, data centers, memory, and power-related assets, with funds accelerating from traditional sectors into the AI value chain. This capital reallocation reinforces valuations across AI-related themes and pressures lagging sectors.

The Kobeissi Letter has long tracked U.S. stock earnings and macroeconomic data, previously emphasizing how AI capital expenditure pulls on tech earnings. The current data aligns with high outperformance ratios reported by institutions like FactSet for Q2, where one-time gains from companies like Alphabet significantly lifted overall numbers.

The fundamental driver remains clear: demand for AI training and inference is spurring continued expansion in capital expenditures for chips, memory, power, and network equipment. Companies are motivated to seize pricing power in computing and infrastructure, raising guidance and achieving significant outperformance. Funds are concentrating further from broad technology into core segments of the AI value chain.

Historical parallels abound—the early outperformance cycles of cloud computing in the 2010s and the memory and foundry segments during semiconductor supercycles. What distinguishes the current cycle is a transition from narrative-driven investment to profit verification and capital expenditure realization.

At its core, this represents a supply chain restructuring driven by technological substitution. As AI transforms infrastructure from a cost center to a profit center, market mechanisms redistribute capital through earnings outperformance, concentrating pricing power among suppliers controlling computing, memory, and power bottlenecks. Outperformance itself validates the fundamentals, with earnings elasticity greatest among companies closest to these critical value chain constraints.