TREE NEWS update: Morgan Stanley CEO Ted Pick said capital expenditure in artificial intelligence could reach $10 trillion to $15 trillion over the next decade. He estimated that large tech hyperscalers could spend $800 billion to $1 trillion annually over the next seven to 12 years on data centers and computing power. Pick said the investment is still in its early stages and could lift U.S. real GDP growth by 50 to 70 basis points a year through productivity gains.
Morgan Stanley CEO: AI capex could reach $15 trillion over next decade
AI take
The scale of the projected hyperscaler spend is the real signal here: annual outlays in the hundreds of billions would make AI infrastructure one of the largest sustained capital cycles in modern markets, with knock-on demand for power, land and hardware supply chains. Framing the payoff as a 50-70 basis point lift to U.S. real GDP growth is a productivity argument, not a valuation one, and it rests on gains that have yet to materialize. Whether actual capex tracks these projections, and whether depreciation burdens start to weigh on hyperscaler earnings, is the open question.
Generated by AI for reference only.
Share on WeChat
Open WeChat → Scan → then tap "…" to send to a chat or Moments.
Tap "…" in the top-right corner to send to a chat or share to Moments.
Related News
8m ago
Seoul Composite closes down 3.59% at 5,648.79
19m ago
Central banks buy 321 tonnes of gold in Q3, fastest pace since 2024
21m ago
Hog futures main contract falls over 4% intraday to 9,150 yuan/ton
23m ago
AFC Postpones Saudi Arabia 2027 Asian Cup to December 2027
24m ago
Hang Seng Tech Index Turns Negative After Earlier 1.5% Gain
25m ago
Four Chinese Broad-Based ETFs Top 10B Yuan in Turnover