Wall Street executives expect cumulative AI spending over the next decade to reach 15000000000000 USD
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Wall Street executives said AI infrastructure financing demand is strong, but capital costs may limit deal size.
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Wall Street Executives: Strong Demand for Large-Scale AI Financing Deals; Cumulative Spending Could Reach 15000000000000 USD in the Next Decade
PANews November 3 reports that, according to Bloomberg, at the Hong Kong Monetary Authority's Global Financial Leaders' Investment Summit, Wall Street executives stated that capital markets will continue to provide financing for global AI infrastructure development. Morgan Stanley CEO Ted Pick predicts that cumulative AI spending over the next decade could reach 15000000000000 USD, with the largest tech hyperscalers potentially investing 800000000000 to 1000000000000 USD annually over the next 7 to 12 years. Pick said we are currently roughly in the third inning of a nine-inning game. Goldman Sachs CEO David Solomon stated that as investors assess the surging demand for AI and computing power, capital markets remain capable of absorbing this, and financing needs will be strongly met. However, he cautioned that technological supercycles rarely progress in a straight line, and the primary constraint on deal size is the cost of capital rather than the availability of funds. Pick expects sustainable long-term returns, with productivity gains potentially driving... annually.
PANews stated that its information was cited from a Bloomberg report.
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The remarks were made at the Hong Kong Monetary Authority’s Global Financial Leaders’ Investment Summit.
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Morgan Stanley CEO Ted Pick expects that cumulative AI spending over the next decade could reach 15000000000000 USD.
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Ted Pick expects that the largest tech hyperscalers could invest 800000000000 to 1000000000000 USD per year over the next 7 to 12 years.
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Goldman Sachs CEO David Solomon said that capital markets still have absorption capacity and financing demand will be strongly met.
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David Solomon cautioned that the main constraint on deal size is the cost of capital, not the availability of funds.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
These executives believe that building the data centers, computing power, and other infrastructure needed for AI requires substantial capital, and capital markets are currently able to provide financing. However, the projected figures are not spending that has already occurred or firm commitments; the cost of borrowing and raising funds may determine how large the projects can ultimately be.
Why it matters to readers
If financing capacity continues, AI infrastructure construction may receive funding support; but rising capital costs may compress deal size.
Beginners should understand the 15000000000000 USD and the annual investment range in the text as executive forecasts, not signed financing deals or completed actual spending.
Risks and unknowns
The original text is a secondhand summary by PANews of a Bloomberg report and does not provide the full remarks.
The evidence is truncated at the end, and Ted Pick's complete statement about long-term returns and productivity gains cannot be confirmed.
The text does not disclose specific financing deals, actual spending commitments, or execution progress.
The 15000000000000 USD and the 800000000000 to 1000000000000 USD are both forecasts, and whether they can be achieved remains uncertain.
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AI infrastructure
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