Goldman Sachs — AI investment and government borrowing compete for capital

12 October 2026 | Latest available: Market Pulse, 6 October

Goldman Sachs Asset Management estimates that US GDP growth is tracking at 3.4% in Q3, compared with 0.8% in the euro area and 4% in China. It attributes the stronger global activity backdrop partly to approximately $1 trillion in cumulative AI capital expenditure, alongside substantial government spending. At the same time, global AI-related debt issuance is approaching $600 billion year to date, with around 40% issued by high-grade hyperscalers.

The financing implication is significant: AI infrastructure projects are competing with governments and other borrowers for capital. Goldman also notes that the S&P 500’s forward price-to-earnings ratio has fallen to 21x, from 25x a year ago, while earnings per share growth is tracking at 36% for 2026. That combination suggests valuations have adjusted to higher rates, but rapid further increases in yields could still unsettle markets.

Market implications

  • AI financing: Debt issuance remains substantial as infrastructure investment expands.

  • Valuations: The lower forward P/E offers some cushion, but not immunity from yield volatility.

  • Credit: Selectivity matters as more AI-related borrowers compete for funding.

M&A / deal flow implications

  • Data centres, power infrastructure and AI-related assets remain important financing and strategic investment areas.

  • Higher capital costs may increase the value of partnerships and joint ventures that share investment burdens.

  • Sponsors may face tougher underwriting for capital-intensive assets.

3 key takeaways

  1. AI capex remains a major driver of economic activity and financing demand.

  2. Nearly $600bn in AI-related debt issuance makes competition for capital increasingly relevant.

  3. Strong earnings growth supports valuations, but rapid yield increases remain a risk.