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
AI capex remains a major driver of economic activity and financing demand.
Nearly $600bn in AI-related debt issuance makes competition for capital increasingly relevant.
Strong earnings growth supports valuations, but rapid yield increases remain a risk.