Bloomberg Surveillance TV: October 15th, 2026

PodcastBloomberg SurveillanceSebastien PageOct 15

The discussion weighs the AI buildout's growth potential against political resistance to data centers, infrastructure bottlenecks, and credit risks among leveraged providers. Page sees room for token demand to expand and remains optimistic on the AI trade over the next six to twelve months, though he expects volatility. In markets, participants point to a shift toward risk-off sentiment, a pullback in semiconductors, and investor preference for companies with strong free cash flow.

Artificial Intelligence AI Infrastructure Semiconductors Investor Sentiment Market Volatility Risk Management

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Key Takeaways

Political resistance to AI infrastructure is emerging as a potential investment constraint: Libby Cantrell says candidates in Ohio are advocating moratoriums and that state-level pauses could chill planned capacity in Ohio and Georgia. She argues that political friction, alongside capital and energy constraints, could weigh more on AI infrastructure investment and valuations than the market anticipates, while Bloomberg reports that the White House task force is expected to hold its inaugural meeting with less than three weeks until the midterms.

AI demand indicators remain strong even as model economics and providers shift: Sebastian Page cites quarterly token spend up 700% year over year and demand up 18-fold, with agentic processes at about 20% of enterprises today and consultant estimates suggesting adoption could reach 80%. Page argues demand could continue even if leveraged providers face financing trouble, while Morrison says open-source models could lower token costs and warns that the application layer could become a race to zero.

The AI financing picture is diverging between cash-rich hyperscalers and leveraged names: Morrison says Google raised $85 billion, Microsoft typically generates about $25 billion in quarterly free cash flow, and Azure is growing at more than 40%, while clients are selling Oracle, NBIS, and CoreWeave, which he describes as lacking free cash flow and facing credit-market trouble. The segment projects AI debt issuance at about 25% of U.S. dollar nonfinancial investment-grade bond issuance.

GEO-POLITICS

AI Task Force — Bloomberg reports that President Donald Trump's superintelligence task force is expected to hold its first meeting as the White House faces mounting pressure to act on AI, less than three weeks before the midterms.

“Sources telling us here at Bloomberg that president Donald Trump's superintelligence task force is expected to hold its inaugural meeting today…”—

State Moratorium Risk — Libby Cantrell says opposition to AI data centers is becoming a state-level political issue, including among Republican candidates. She expects it to gain importance around November's 36 governor races; elected officials may pause projects through statewide moratoriums as legislatures develop a framework. She identifies Ohio as a potential bellwether: both gubernatorial candidates support a moratorium. Such pauses could chill planned capacity in states including Ohio and Georgia.

“And I think you're gonna see even more of that come 2027. The reason I say that is because there are 36 governor races that are happening in November…”—

TECHNOLOGY

AI Token Demand — Sebastian Page says quarterly AI token spending is up 700% year over year, while token demand has risen 18-fold as tokens have become cheaper. Agentic processes are used at about 20% of enterprises today; consultants estimate adoption could reach 80%, leaving room for further demand growth.

“Token spend is up 700% year-over-year, quarterly token spend. And token demand, because they're getting cheaper, is up 18x.”—

Resilient AI Demand — Page argues that AI demand could keep growing even if leveraged providers such as CoreWeave face financing trouble, because well-funded players may fill the gap. He points to an incremental shift from frontier models to open-weight models and says the end product is useful for automating processes, while noting that frontier-model leaders can change.

“Is the demand from the well funded players sufficient to fill the gap left by them if indeed they get in trouble? I think so…”—

MARKETS

Selective Chip Exposure — After chip stocks rose about 11% in six sessions, Page favors selective exposure over a broad bet. Bottlenecks span chips, memory, packaging, construction, and energy supply, he says, making active management important for identifying potential winners and losers.

“So would you be buying the chip players off the back of a six day run, a move of more than double digits, double digits, about 11% right now over…”—

Anthropic IPO Risk — Page calls high expectations for Anthropic's IPO a sentiment risk for the AI trade and says the offering could add to volatility. He hopes it goes well.

“Yeah, that's a big risk. You know, it's a big risk in terms of the sentiment around the trade. And again, this creates volatility…”—

Treasury Yield Reversal — Hotter-than-expected CPI initially pushed Treasury yields higher, with the 10-year yield reaching about 4.95%. The market later shifted its focus to growth concerns and risk-off sentiment; by that morning, yields had fallen to about 4.70%. Page described several competing forces behind rates.

“Yields are down across the curve…”—

FORECASTS

AI Trade Outlook — Page remains optimistic about the AI trade over the next six to twelve months but expects volatility as leverage and speculation have increased. He says some areas are overinvested and demand growth could moderate, while describing the trade overall as healthy if end demand continues.

“Well, there is going to be volatility in the AI trade because it is more levered than it was…”—

AI Trade Outlook

Sebastian Page sees strong, accelerating AI demand and remains optimistic over the next six to twelve months, while warning that leverage and speculation will bring volatility.

Selective Chip Investing

Page favors selective exposure across chips, memory, packaging, construction, and energy, arguing that active management is essential as the AI trade produces winners and losers.

Bond Market Reversal

Page says rates shifted from inflation concerns toward growth and risk-off worries, with several forces influencing yields, and notes that his team is considering further reductions in its short-duration position.

AI Debt And Free Cash Flow

Ted Morrison distinguishes well-funded hyperscalers from leveraged AI providers, saying investors favor strong free cash flow and are wary of off-balance-sheet financing and debt-dependent demand.

Data Center Political Risk

Libby Cantrell argues that local opposition and state-level politics could slow U.S. data center investment, making political friction an underpriced risk to AI infrastructure plans.