ASML faces surging demand for semiconductor manufacturing equipment as major tech firms aggressively expand their AI infrastructure, leading to orders extending into 2030.
TSMC expects fourth-quarter revenue to grow by up to 61% following a record third quarter with $23.59 billion in net income.
Semiconductor stocks fell in October 2026 after OpenAI's revenue missed expectations, raising investor concerns about the sustainability of AI infrastructure spending.
Schwab strategist Kevin Gordon warns that the S&P 500's reliance on AI stocks makes the market vulnerable to potential capital expenditure shortfalls among mega-cap companies.
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.
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.
Goldman Sachs projects US hyperscalers will spend up to $1.4 trillion on AI infrastructure by 2027, increasingly relying on debt financing.
Equinix is doubling its capital expenditure budget to $5–7 billion annually to expand data center capacity amid surging demand for AI infrastructure.
Alibaba and Amazon are scaling AI infrastructure investments to tens of billions, resulting in negative free cash flow as both tech giants race to meet surging demand.
Microsoft aims to reach 38 GW of data center capacity by 2032, backed by a massive increase in capital expenditure reaching $175 billion by 2027.
Microsoft aims to triple its data center capacity to over 38 gigawatts by 2032 to meet rising AI demand, with capital expenditures projected to reach $175 billion in 2026.
Evraz ZSMK completed a 300 ₽ million capital repair of a blast furnace in 16 days using a specialized robotic system.
