Goldman Sachs and Morgan Stanley report a surge in AI-related debt, with issuance reaching record levels and hyperscaler leverage doubling in six months.
Booking Holdings CFO Ewout Steenbergen warns that major AI investors lack clear ROI visibility as capital expenditure forecasts surge toward $1.1 trillion by 2027.
Andreessen Horowitz reports a major shift in tech capital, with hyperscalers increasing hardware spending to $780 billion in 2026 as AI infrastructure demand surges.
Goldman Sachs forecasts that five major US hyperscalers will spend $1.2 trillion on AI infrastructure in 2027, with cumulative investment reaching $7.6 trillion by 2031.
Goldman Sachs estimates that six major hyperscalers must generate $1 trillion in annual AI revenue to justify a massive infrastructure spending cycle reaching $4.14 trillion by 2030.
JPMorgan Chase CEO Jamie Dimon forecasts that hyperscalers will boost their capital spending to $1 trillion next year, continuing a rapid growth trend in AI infrastructure investment.
AllianceBernstein projects that hyperscalers will exceed $1 trillion in capital expenditure by 2027, dismissing concerns that a slowdown in AI development will impact tech fundraising.
S&P 500 earnings growth projections for 2026 have jumped to 32% as AI infrastructure spending by hyperscalers is expected to exceed $754 billion.
US tech giants are issuing record amounts of euro bonds to fund AI infrastructure, with non-financial firms selling over €60 billion in 2026.
AI token prices have dropped nearly 60%, raising concerns about the return on investment for the $600 billion AI infrastructure boom.
