U.S. markets face valuation strain as economic resilience lifts rate risks

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U.S. markets valuation strain

Highlights

Nasdaq and S&P 500 declined in June despite strong economic data, while Treasury yields fell even as U.S. inflation exceeded 4% for the first time in three years.
AI-linked equities experience heightened tension as the semiconductor index is up 87% year-to-date, but the Magnificent Seven group led by Nvidia, Apple, and Alphabet is down for the year.
Hyperscaler firms including Amazon and Alphabet issued $60 billion in bonds in the past 12 months, with investment-grade bond sales set to surpass BNP Paribas' $250 billion forecast for 2024.

Market split sharpens in June trading

As reported by Reuters, June trading highlights a growing disconnect between solid economic data and weaker stock performance. Continued job gains, firm consumer spending and improving sentiment support the U.S. outlook, yet the Nasdaq and S&P 500 are down for the month, while Treasury bonds rally and yields fall even after inflation moves above 4% last week for the first time in three years.

Investors are reassessing whether resilient growth is still supportive for risk assets when it also increases the chance of tighter monetary policy. Federal Reserve chief Kevin Warsh's hawkish turn fuels bets on interest-rate increases, although some analysts doubt further tightening will materialize because financial conditions have already weakened parts of the market, including gold, bitcoin and major technology shares.

Guy LeBas, chief fixed income strategist at Janney Montgomery Scott, says consumer spending outside energy suggests greater economic stability and strength than many expected at the start of the year. In his view, that leaves room for upside risk in U.S. growth estimates, even as markets struggle with the implications of higher inflation-adjusted rates.

AI spending boom raises pressure on tech leaders

The strain is most visible in the AI trade, where market gains are becoming more concentrated and more volatile. Goldman Sachs analyst Kamakshya Trivedi says the return of a friendlier cyclical backdrop after lower war fears and falling oil prices still leaves markets confronting high valuations, with the tension most acute in AI-linked equities.

Momentum has shifted within the sector. Since late March, the semiconductor index has surged and is up 87% for the year, with Micron quadrupling and Intel and Marvell Technology tripling in 2026, while the Magnificent Seven group led by Nvidia, Apple and Alphabet is down for the year after driving about 40% of S&P 500 gains in 2025.

Investors increasingly focus on the cost of building AI infrastructure. Companies such as Amazon and Alphabet issue $60 billion in bonds in multiple currencies over the last 12 months, and investment-grade bond sales by hyperscalers already surpass their full-year 2025 total and are on pace to reach BNP Paribas' $250 billion forecast for this year.

Jake Dollarhide, chief executive officer of Longbow Asset Management, says AI currently benefits chipmakers more than the biggest spenders, helping explain why the largest platform companies are lagging. UBS this past week cuts exposure to semiconductor and hardware stocks in its AI portfolio, warning that further share-price weakness among hyperscalers could eventually lead to capital-expenditure reductions.

Any pullback in AI investment would carry broader economic implications because corporate spending remains a major driver of growth. LeBas says it is difficult to see a material downturn while the biggest hyperscalers still plan to spend $700 billion or more on capital projects in coming years, though investors remain alert to whether the market's habit of buying every dip can continue.

Our earlier article on the latest sell-off in AI-linked technology shares examined how higher rate expectations and stretched valuations triggered a sharp pullback in benchmarks such as the Nasdaq and South Korea’s Kospi. We also noted that the move looked less like the start of a broad market crash and more like an ongoing rotation away from mega-cap tech leadership and into other parts of the equity market, adding to volatility around the AI trade.

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