Wall Street heavyweights speak with one voice: AI supercycle drives strong demand for infrastructure and financing, with capital spending potentially reaching $15 trillion over the next decade
Nov. 3 — According to Bloomberg, executives from leading Wall Street investment banks struck an optimistic note on AI infrastructure investment and financing needs at the Hong Kong Monetary Authority’s Global Financial Leaders’ Investment Summit. They said capital markets have both the capacity and the willingness to meet this wave of demand.
Morgan Stanley CEO Ted Pick estimates that cumulative capital spending in the AI sector could reach $15 trillion over the next decade. He also expects leading hyperscalers to invest an average of $800 billion to $1 trillion annually, with the investment cycle lasting 7 to 12 years.
Using baseball as an analogy, Ted Pick said the current AI industry cycle is only in the third inning of a nine-inning game, and the sector still has a long way to go.
In his view, sustained investment in AI can boost productivity and potentially add 50 to 70 basis points to annual U.S. real GDP growth, making long-term investment returns sustainable.
Goldman Sachs CEO David Solomon is similarly optimistic about the capacity to finance AI, saying capital markets have ample funding to meet surging demand for investment in computing power.
He also sounded a note of caution, however: a technology supercycle will not move steadily in one direction. The main obstacle to completing large AI deals is not a lack of funding, but the cost of capital.
He also shared his views on AI governance, arguing that individuals who use AI—not the technology systems themselves—should ultimately be held responsible for its consequences.
Are you optimistic about the long-term returns on this wave of AI investment? With vast sums flowing into computing power, what opportunities and risks do you see? Share your thoughts in the comments!
#AI资本开支
Nov. 3 — According to Bloomberg, executives from leading Wall Street investment banks struck an optimistic note on AI infrastructure investment and financing needs at the Hong Kong Monetary Authority’s Global Financial Leaders’ Investment Summit. They said capital markets have both the capacity and the willingness to meet this wave of demand.
Morgan Stanley CEO Ted Pick estimates that cumulative capital spending in the AI sector could reach $15 trillion over the next decade. He also expects leading hyperscalers to invest an average of $800 billion to $1 trillion annually, with the investment cycle lasting 7 to 12 years.
Using baseball as an analogy, Ted Pick said the current AI industry cycle is only in the third inning of a nine-inning game, and the sector still has a long way to go.
In his view, sustained investment in AI can boost productivity and potentially add 50 to 70 basis points to annual U.S. real GDP growth, making long-term investment returns sustainable.
Goldman Sachs CEO David Solomon is similarly optimistic about the capacity to finance AI, saying capital markets have ample funding to meet surging demand for investment in computing power.
He also sounded a note of caution, however: a technology supercycle will not move steadily in one direction. The main obstacle to completing large AI deals is not a lack of funding, but the cost of capital.
He also shared his views on AI governance, arguing that individuals who use AI—not the technology systems themselves—should ultimately be held responsible for its consequences.
Are you optimistic about the long-term returns on this wave of AI investment? With vast sums flowing into computing power, what opportunities and risks do you see? Share your thoughts in the comments!
#AI资本开支
