The central dispute was whether AI earnings and infrastructure demand can justify continued optimism despite rising valuation, financing and capacity concerns.
S&P 500 7,807−0.1%NVIDIA $226.32−1.3%closes of Oct 12
The period’s AI and chip-related coverage focused on whether the AI trade can extend or is becoming financially and technically stretched. HSBC argued that accelerating AI demand, resilient GPU prices and improving earnings guidance support further equity gains 5, while other items highlighted rising pressure on the global AI trade 9, investor agitation 13 and concern about overheated infrastructure spending 18. Sources also examined circular financing, debt-funded data-centre expansion and the risks these could create for markets and banks 2021282935.
CL+1924 voices
What happened
Bloomberg reported that a web of circular investments powering the AI boom is amplifying global imbalances and reviving memories of the 2008 financial crisis.2829
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The IMF warned that AI-related challenges could push more global banks to the brink in a doomsday scenario even as profits rise.21
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Bloomberg also flagged broader market strains tied to AI: investor agitation over tech stocks, delays in data‑centre IPOs, and heavy corporate borrowing to fund AI builds.131935
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“The global AI trade is coming under increasing pressure”
David Hunter: “S&P 500 to 10,000 within three to six months” (Oct 1). S&P 500 is at 7,807, +28.1% to go.Settles on the close of Apr 1 (S&P 500).
27 SepS&P 500 · Sat 2036
Bill Smead: “S&P 500 lower in 10 years” (Sep 27). S&P 500 is at 7,807.Settles on the close of Sep 27 (S&P 500).
No date6-month check
Mike McGlone: “S&P 500 to drop 20%” (Oct 8) · S&P 500 ≤ 6,212No deadline was given, so each is judged six months after it was said.
The voices
Bloomberg
A web of circular investments powering the AI boom is amplifying global imbalances and stirring echoes of the 2008 financial crisis.2829
6 of this desk's 18 voices spoke · Quiet: Adam Tooze, Arnaud Bertrand, Ben Carlson, Brent Johnson, Ed Zitron, Eric Balchunas, Erik Townsend, Evan, Geiger Capital, Grant Williams, Kaiser Kuo, Michael Liebreich - @MLiebreich.bsky.social
More from the desk
AI trade versus valuation and demand risksHSBC expected strong third-quarter earnings and accelerating AI demand to extend the equity bull market, favouring AI hyperscalers because of computing demand and resilient GPU prices. In contrast, the pool flagged increasing pressure on the global AI trade, greater investor agitation, and commodity-market uncertainty linked to fears of excessive AI-infrastructure spending.
HSBC expected strong third-quarter earnings and accelerating AI demand to extend the equity bull market, favouring AI hyperscalers because of computing demand and resilient GPU prices 5. In contrast, the pool flagged increasing pressure on the global AI trade 9, greater investor agitation 13, and commodity-market uncertainty linked to fears of excessive AI-infrastructure spending 18.
Circular financing and capital intensitySeveral items described a circular-investment model supporting the AI boom while amplifying global imbalances and reviving comparisons with the 2008 financial crisis. Technology companies were also portrayed as heading toward unusually large long-term debt issuance to fund AI investment, while the cost of a single Texas data centre was described as reaching tens of billions of dollars.
Several items described a circular-investment model supporting the AI boom while amplifying global imbalances and reviving comparisons with the 2008 financial crisis 2829. Technology companies were also portrayed as heading toward unusually large long-term debt issuance to fund AI investment 20, while the cost of a single Texas data centre was described as reaching tens of billions of dollars 2545.
Data centres, capacity and infrastructure build-outAnthropic was reported to be considering investment in Australian data centres as it expands capacity globally.
Anthropic was reported to be considering investment in Australian data centres as it expands capacity globally 22.
AI agents, companies and commercial positioningMeta and OpenAI were described as targeting different customer groups with AI agents whose paths may converge. Mark Zuckerberg was reported to have said Meta had reached the AI frontier while rejecting calls for a slowdown, and DeepSeek was reported to be pursuing an investment in an AI-for-robotics startup using capital from its financing.
Meta and OpenAI were described as targeting different customer groups with AI agents whose paths may converge 3. Mark Zuckerberg was reported to have said Meta had reached the AI frontier while rejecting calls for a slowdown 38, and DeepSeek was reported to be pursuing an investment in an AI-for-robotics startup using capital from its financing 43.
Market concentration and bubble debateBank of America’s poll showed fund managers’ technology overweight at its highest since 2020; respondents were nearly split on whether an AI bubble would emerge in 2027, with 45% expecting one and 42% disagreeing. The market-risk case was reinforced by a negative S&P 500 equity-risk premium versus 10-year Treasuries and historically stretched valuations, according to The Kobeissi Letter, while Charles Lemonides’ discussion was framed around the view that the market had not yet reached a blowoff phase.
Bank of America’s poll showed fund managers’ technology overweight at its highest since 2020; respondents were nearly split on whether an AI bubble would emerge in 2027, with 45% expecting one and 42% disagreeing 11. The market-risk case was reinforced by a negative S&P 500 equity-risk premium versus 10-year Treasuries and historically stretched valuations, according to The Kobeissi Letter 23, while Charles Lemonides’ discussion was framed around the view that the market had not yet reached a blowoff phase 3132.