Wall Street Titans See Trillion-Dollar AI Infrastructure Financing Boom Ahead, Morgan Stanley Projects $15 Trillion in Decade-Long Spending

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According to a report from Zhitong Finance APP, top Wall Street investment bank executives have stated that capital markets will continue to provide financing support for global artificial intelligence (AI) infrastructure construction. Morgan Stanley (NYSE: MS) estimates that cumulative spending in this sector over the next decade could reach $15 trillion.

Morgan Stanley (NYSE: MS) CEO Ted Pick said on Tuesday at the Global Financial Leaders' Investment Summit hosted by the Hong Kong Monetary Authority that annual capital expenditures by major technology giants over the next 7 to 12 years could reach $800 billion to $1 trillion. "We are probably in the second inning of a nine-inning game," Pick said. "$10 trillion to $15 trillion — that is a wide range, but for building the infrastructure needed to drive product advancement, that number is not unreasonable."

Wall Street institutions are seizing the wave of AI-driven advisory and financing business, arranging debt and equity deals for market-leading companies such as Meta Platforms (NASDAQ: META) and Anthropic PBC (NASDAQ: ANT). Goldman Sachs Group (NYSE: GS) CEO David Solomon said that capital markets remain open as investors assess the surge in AI and computing power demand. However, he also warned that technology super cycles rarely proceed in a straight line.

Solomon stated that the main factor constraining deal size is the cost of capital, not capital availability. "The market will provide ample financing to meet demand."

In the longer term, Pick believes that the returns on related investments are sustainable, projecting that productivity gains could drive U.S. real GDP growth of 50 to 70 basis points per year.

On the topic of AI governance, Solomon said that Goldman Sachs Group (NYSE: GS) has been operating automated trading platforms for twenty years and emphasized that accountability must ultimately rest with individuals rather than systems. "The people who develop the technology need to be responsible for what they do, and the people who deploy the technology need to be responsible for how they deploy it," Solomon said.

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