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Ted Pick and David Solomon See a Long AI Investment Cycle—but Warn of Bumps
Ted Pick said AI development could require US$10 trillion–US$15 trillion in capital over the next decade, with a reported 50–70 basis point contribution to real GDP growth; that is a projection, not a guarantee of ret... David Solomon described demand for AI deals as “very robust,” but said a technology supercycle w...
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Key takeaways
- Ted Pick said AI development could require US$10 trillion–US$15 trillion in capital over the next decade, with a reported 50–70 basis point contribution to real GDP growth; that is a projection, not a guarantee of ret...
- David Solomon described demand for AI deals as “very robust,” but said a technology supercycle will have bumps.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What did Morgan Stanley Chairman and CEO Ted Pick and Goldman Sachs Chairman and CEO David Solomon say at the fifth Global Financial Leaders. Article summary: Pick and Solomon presented AI as a large, continuing investment cycle rather than an already exhausted bubble: Morgan Stanley projected spending of up to US$15 trillion over the next decade, while Solomon described deman. Topic tags: general, news, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts w
Morgan Stanley CEO Ted Pick and Goldman Sachs CEO David Solomon made a bullish case for a long AI investment cycle at the Global Financial Leaders’ Investment Summit in Hong Kong. Pick cited potential capital needs of US$10 trillion–US$15 trillion over the next decade, while Solomon described demand for AI deals as “very robust.” Their optimism came with a qualification: big technology cycles can be uneven, and infrastructure spending alone does not guarantee attractive returns.1
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Pick’s trillion-dollar estimate—and the GDP caveat
Morgan Stanley’s estimate puts cumulative AI infrastructure spending as high as US$15 trillion over the next decade. Bloomberg also reported that the largest technology hyperscalers could deploy US$800 billion to US$1 trillion annually over a seven- to 12-year period.1 A separate report on Pick’s summit remarks gave a US$10 trillion–US$15 trillion range and said he linked the investment to a potential 50–70-basis-point contribution to real GDP growth.
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A basis point is one-hundredth of a percentage point, so 50–70 basis points equals 0.5–0.7 percentage points. The reported material does not specify the precise period or assumptions behind the GDP estimate. It should therefore be read as an attributed projection, not as a guaranteed outcome or a forecast that every AI investment will pay off.9
Why strong compute demand is only part of the story
A report summarizing the summit remarks said Solomon pointed to compute demand exceeding supply and to applications as a source of significant long-term value.23 These ideas describe different parts of the investment cycle: companies are funding capacity now, while the eventual returns depend on whether that capacity supports useful products and services.
That distinction matters. High demand for computing power can support infrastructure investment, but it does not by itself establish that every data centre, chip purchase or financing deal will earn an adequate return. The commercial test is whether applications and their customers can generate enough value to sustain the costs of building and operating the underlying infrastructure.
How the AI financing chain fits together
The buildout links several kinds of businesses. AI labs need computing capacity; chipmakers supply processors; infrastructure developers build and operate data centres; and energy providers supply power. The summit coverage described financing for AI infrastructure as involving these interconnected participants.23
Capital markets can help fund different parts of that chain. One example reported by Bloomberg was a roughly US$40 billion equipment-finance lease between SpaceX and Apollo to pay for chips for AI expansion.29 It illustrates financing for computing assets, but it is not evidence that every participant uses the same funding model—or that the full chain will generate sufficient returns.
A supercycle can be real and still have setbacks
Solomon said demand for AI deals was “very robust” and described a technology supercycle that would shape capital-markets and financing activity.4
18 He also acknowledged that the cycle would have “bumps.”
35 That is a more measured claim than a prediction of uninterrupted growth.
Bloomberg’s summit coverage reported that Pick and Solomon broadly dismissed the view that the AI boom had already entered bubble territory.2 But a sector-wide view cannot settle whether particular projects are overvalued or poorly financed. Investors still need to assess whether a project’s funding structure can withstand delays, weaker demand or lower-than-expected returns.
A report on Pick’s comments also said he compared the AI cycle with earlier technology cycles, including 1999–2000 and 2008, and described market corrections as a healthy “wall of worry.” It reported his warning that some projects may have weak capital structures.23 Taken together, those points frame corrections as possible features of an investment cycle—not proof that the underlying technology has no future—while underscoring that financing weaknesses can matter when conditions turn.
The practical takeaway
Pick’s headline number signals the potential scale of the infrastructure buildout; Solomon’s comments signal that financing demand is strong. Neither resolves the central investment question: can the businesses using that infrastructure turn today’s spending into lasting economic value? A long technology cycle can coexist with uneven progress, project failures and differences between winners and losers.
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Ted Pick said AI development could require US$10 trillion–US$15 trillion in capital over the next decade, with a reported 50–70 basis point contribution to real GDP growth; that is a projection, not a guarantee of ret...
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Ted Pick said AI development could require US$10 trillion–US$15 trillion in capital over the next decade, with a reported 50–70 basis point contribution to real GDP growth; that is a projection, not a guarantee of ret... David Solomon described demand for AI deals as “very robust,” but said a technology supercycle will have bumps.
Sources
bloomberg.comBloomberg Talks: Ted Pick - Bloomberg
bloomberg.comGoldman’s Solomon Sees ‘Very Robust’ Demand for AI Deals
thestandard.com.hkMorgan Stanley says AI development could require US$10–US$15 trillion over the next decade