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How could soaring Treasury yields threaten the AI investment boom?

The 10-year Treasury yield closed at 5.20%, its highest since 2007, while the 30-year yield reached a post-2004 high of 5.48%.[5] Analysts attributed the sell-off mainly to higher real yields, soft Treasury-auction demand and evidence of an accelerating US economy rather than a sharp rise in market inflation expectations.[5] That repricing raises financing and valuation pressure on an AI build-out exceeding $US700 billion in the US this year and potentially reaching $US1 trillion next year.[2] Around 90% of the products covered by the agreement are set to return to most-favored-nation tariff rates, with both countries implementing the reductions simultaneously after completing their domestic legal procedures.[3] The package includes US coal exports to China and creates a bilateral trade council, an investment council and an agricultural working group.[3] The two governments also reached an agreement in principle on financial services and established an artificial intelligence dialogue.[3]

The field note

3 sources · 3 items
  1. The two-year Treasury yield rose 55 basis points during September as markets anticipated Fed increases, while t…
  2. Pricing implied a 70% probability of an October Fed increase and a 57% probability of consecutive increases in…
  3. Even cash-rich companies such as Amazon and Alphabet have turned to debt as escalating AI expenditure absorbs l…
Story 013 sources

How could soaring Treasury yields threaten the AI investment boom?

The 10-year Treasury yield closed at 5.20%, its highest since 2007, while the 30-year yield reached a post-2004 high of 5.48%.[5] Analysts attributed the sell-off mainly to higher real yields, soft Treasury-auction demand and evidence of an accelerating US economy rather than a sharp rise in market inflation expectations.[5] That repricing raises financing and valuation pressure on an AI build-out exceeding $US700 billion in the US this year and potentially reaching $US1 trillion next year.[2]

Why it matters

Higher risk-free yields make bonds more competitive with equities, increase corporate borrowing costs and reduce the present value of distant earnings—an especially important combination for AI-related companies and hyperscalers that account for about 35% of the US sharemarket’s value.[2] With US stocks also trading at CAPE valuations last seen in 1999, sustained high rates could transmit the Treasury sell-off into growth stocks, consumer finances and the broader economy.[2]

Key insights

  • The two-year Treasury yield rose 55 basis points during September as markets anticipated Fed increases, while the 30-year yield moved near its highest level since 2004.[1]
  • Pricing implied a 70% probability of an October Fed increase and a 57% probability of consecutive increases in October and December.[5]
  • Even cash-rich companies such as Amazon and Alphabet have turned to debt as escalating AI expenditure absorbs legacy cash flows and stretches the equity market’s funding capacity.[2]
  • The MOVE index of bond-market volatility jumped from 78.56 to 96 in one week, indicating increased investor anxiety about the speed of the yield rise.[2]

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