AI · 2026-11-04
Wall Street CEOs on the Outlook for AI Infrastructure Investment… Up to $15 Trillion Over the Next 10 Years
Morgan Stanley says AI infrastructure investment could reach a cumulative $15 trillion over the next decade. Wall Street financial CEOs say funding capacity should be sufficient, while stressing the importance of the pace of investment, costs, and responsible use of AI.
The AI race is moving beyond model development and into an investment competition to secure data centers and computing infrastructure. CEOs of major Wall Street financial firms said they expect capital markets to keep backing the funding needed for this kind of infrastructure buildout. Morgan Stanley even suggested that related investment could reach a cumulative $15 trillion over the next 10 years.
At the Global Financial Leaders’ Investment Summit hosted by the Hong Kong Monetary Authority (HKMA), Morgan Stanley CEO Ted Pick estimated that major technology companies could invest between $800 billion and $1 trillion annually over the next 7 to 12 years. Because the investment range is broad and the outlook spans a long period, this should be viewed not as a fixed spending figure, but as an estimate of the scale AI infrastructure demand could reach if it continues to grow.
Goldman Sachs CEO David Solomon also said market conditions for AI and computing demand are favorable. Still, he noted that the tech supercycle will not move smoothly in a single direction, pointing out that the key factor shaping deal volume is not the availability of money itself, but the cost of capital. In other words, even if funds can be raised, high borrowing or financing costs could make it harder to carry out investment plans.
AI investment is also creating business opportunities for financial firms. According to the article, Wall Street banks are handling advisory and financing work, including structuring debt and equity deals for companies such as Meta Platforms and Anthropic. As technology companies ramp up investment, financial markets are seeing a new wave of deal demand.
Alongside expectations for investment, the long-term effects are also drawing attention. Pick said productivity gains could lift the annual growth rate of U.S. real GDP by 0.5 to 0.7 percentage points. This remains his forecast, and the actual impact will depend on how broadly AI technology is adopted across companies and industries.
How AI is managed and used was also highlighted as an important issue. Solomon emphasized that even as automation technology advances, final responsibility must remain with people. As large-scale infrastructure investment continues, the focus must extend beyond funding to include return on investment, accountability, and governance for how the technology is used. Wall Street’s optimism supports the case for expanding AI investment, but actual spending levels and results may still vary depending on costs and market conditions.
Source: NewsPim (citing Bloomberg)
At the Global Financial Leaders’ Investment Summit hosted by the Hong Kong Monetary Authority (HKMA), Morgan Stanley CEO Ted Pick estimated that major technology companies could invest between $800 billion and $1 trillion annually over the next 7 to 12 years. Because the investment range is broad and the outlook spans a long period, this should be viewed not as a fixed spending figure, but as an estimate of the scale AI infrastructure demand could reach if it continues to grow.
Goldman Sachs CEO David Solomon also said market conditions for AI and computing demand are favorable. Still, he noted that the tech supercycle will not move smoothly in a single direction, pointing out that the key factor shaping deal volume is not the availability of money itself, but the cost of capital. In other words, even if funds can be raised, high borrowing or financing costs could make it harder to carry out investment plans.
AI investment is also creating business opportunities for financial firms. According to the article, Wall Street banks are handling advisory and financing work, including structuring debt and equity deals for companies such as Meta Platforms and Anthropic. As technology companies ramp up investment, financial markets are seeing a new wave of deal demand.
Alongside expectations for investment, the long-term effects are also drawing attention. Pick said productivity gains could lift the annual growth rate of U.S. real GDP by 0.5 to 0.7 percentage points. This remains his forecast, and the actual impact will depend on how broadly AI technology is adopted across companies and industries.
How AI is managed and used was also highlighted as an important issue. Solomon emphasized that even as automation technology advances, final responsibility must remain with people. As large-scale infrastructure investment continues, the focus must extend beyond funding to include return on investment, accountability, and governance for how the technology is used. Wall Street’s optimism supports the case for expanding AI investment, but actual spending levels and results may still vary depending on costs and market conditions.
Source: NewsPim (citing Bloomberg)
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#AI infrastructure investment#Wall Street CEOs AI#data center investment#Morgan Stanley AI forecast#Goldman Sachs AI demand#AI funding outlook#Hong Kong Monetary Authority summit