“Nine games only reached the second round”: Wall Street giants are optimistic about the prospects of AI infrastructure financing, and Damo is expected to invest 15 trillion US dollars in ten years

The Zhitong Finance App learned that the head of Wall Street's top investment bank said that the capital market will continue to provide financing support for global artificial intelligence (AI) infrastructure construction. Morgan Stanley (MS.US) estimates that cumulative spending in this field could reach $15 trillion over the next ten years.

Morgan Stanley CEO Ted Pike said at the International Financial Leaders Investment Summit hosted by the Hong Kong Monetary Authority on Tuesday that the annual capital expenditure of big tech giants over the next 7 to 12 years could reach 800 billion to 1 trillion US dollars.

“We're currently in the second game of a nine-game game,” Pique said. “$10 trillion to $15 trillion — this is a large range, but it's not unreasonable to build the infrastructure needed to drive product progress.”

Wall Street institutions are seizing the wave of AI-driven consulting and financing businesses to arrange debt and equity deals for market-leading companies such as Meta Platforms (META.US) and Anthropic PBC (ANT.US).

Goldman Sachs Group (GS.US) CEO David Solomon said that as investors assess the surge in demand for AI and computing power, the capital market remains open. But at the same time, he warned that the technological supercycle rarely progresses in a straight line.

Solomon said that the main factor limiting the scale of transactions is the cost of capital, not the availability of capital. “The market will provide sufficient financing to meet demand.”

Over the long term, Pique believes that the relevant return on investment is sustainable, and it is estimated that the increase in productivity may drive the real GDP of the United States by 50 to 70 basis points per year.

In terms of AI governance, Solomon said Goldman Sachs has been operating automated trading platforms for 20 years, and emphasized that ultimately accountability must be implemented to individuals rather than systems.

“People who develop technology are responsible for what they do, and those who deploy technology are responsible for how they deploy it,” Solomon said.