Stock Markets August 28, 2026 04:08 PM

JPMorgan Says Higher Long-Term Yields May Reflect AI-Driven Productivity Gains

Strategist sees opportunity in semiconductors amid a sector correction as hyperscaler borrowing and corporate issuance climb

By Avery Klein
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Jacob Manoukian, U.S. head of investment strategy at JPMorgan Private Bank, told the Reuters Global Markets Forum that rising long-term bond yields could be signaling investor expectations of productivity improvements from AI investment rather than solely inflation or heavier government borrowing. JPMorgan remains constructive on semiconductors despite a significant pullback, while AI-related corporate borrowing and overall corporate bond issuance have surged.

JPMorgan Says Higher Long-Term Yields May Reflect AI-Driven Productivity Gains
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Key Points

  • JPMorgan sees rising long-term yields as possibly reflecting AI-driven productivity expectations rather than only inflation or higher government debt.
  • The firm remains constructive on semiconductors despite a correction greater than 20%, noting an expanded discount between two-year forward and trailing 12-month price-to-sales multiples (about 40%-50% versus a typical 20%).
  • AI-related borrowing has accelerated - AI-related debt issuance has exceeded $220 billion this year, while overall U.S. corporate bond issuance reached $1.68 trillion, up nearly 27% from the same period in 2025.

Jacob Manoukian, who leads U.S. investment strategy at JPMorgan Private Bank, told the Reuters Global Markets Forum that the uptick in long-term bond yields may be reflecting investor anticipation of an AI-induced productivity cycle rather than only concerns about inflation or mounting government debt.

Manoukian suggested the bond market could be incorporating expectations that current waves of AI investment will lift productivity. He pointed to the semiconductor industry as a primary beneficiary of that investment, a sector the firm still views positively even after a correction exceeding 20%.

JPMorgan highlights a widening valuation gap within semiconductors: the discount between two-year forward and trailing 12-month price-to-sales multiples has stretched to roughly 40%-50%, versus a typical spread nearer 20%. The firm interprets that widening as the market pricing in weaker future earnings for the sector.

Despite that, Manoukian framed the dislocation as a potential buying opportunity. "We believe that a peak in earnings is already priced in, and we don’t think that earnings have yet peaked. The opportunity for investors is that if some of these companies realize the sales that analysts have already forecasted, they could appreciate materially if the market is still willing to pay the same trailing-twelve-month earnings in 2028."

At the same time, Manoukian noted a marked increase in borrowing tied to AI buildouts. Hyperscalers are taking on more debt as they expand data center and infrastructure spending to support AI workloads. According to the figures cited, AI-related debt issuance has passed $220 billion this year, roughly double the amount issued in the prior year.

The broader U.S. corporate bond market has also seen heavier supply, with corporate issuance totaling $1.68 trillion - an increase of nearly 27% compared with the same period in 2025. Those supply dynamics have coincided with rising Treasury yields, prompting some market participants to suggest that growing corporate debt could dampen demand for U.S. government bonds.

Market data included in the commentary showed the United States 10-Year Treasury ticker US10YT=X up 1.18%, GOVT off 0.31%, SOXX down 3.2% and 0P00015XEP up 0.07%.


Context and implications

Manoukian’s view frames the rise in long-term yields as potentially signaling optimism about productivity gains from AI rather than only macroeconomic stressors. For investors, the combination of stretched valuation spreads in semiconductors and accelerating AI-related capital spending creates a specific set of considerations around timing, earnings expectations and sector allocation.

Risks

  • Valuation risk in semiconductors - the market is pricing in weaker earnings for the sector, reflected by an expanded two-year forward vs trailing 12-month price-to-sales discount; this impacts investors in semiconductor stocks and ETFs.
  • Debt supply and demand risk - increased corporate bond issuance and rising AI-related borrowing could reduce demand for U.S. Treasuries, affecting fixed-income markets and government bond yields.
  • Execution risk for AI beneficiaries - if companies do not realize the sales analysts have forecasted, the expected earnings recovery that JPMorgan highlights may not materialize, affecting equity performance in semiconductors and related infrastructure firms.

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