Is winning the election merely the last straw? The market finally confronts the threat of AI "circular financing."

Title context: Is winning the election merely the last straw? The market finally confronts the threat of AI "circular financing." Text: The cracks in the AI boom narrative are widening. On the day after the midterm elections, the Nasdaq suffered its largest single-day drop since the COVID-19 pandemic, wiping out all of the year's gains for tech funds, and a structural risk that the market had long deliberately ignored surfacedAI circular financing. Ron Adler, Global Co-Head of Cash Equities at JPMorgan, said bluntly in a latest market reflection that AI has always been the core fulcrum of the current market, and as hyperscalers begin to turn to capital markets to finance their own ambitions, traders have moved further out along the risk curve, aggressively buying upstream components and bottleneck assets. However, the fragility of this logic chain can no longer be avoided. "Circular revenue has received a lot of attention, but the circular impact of AI on the market and the tech sector was not sufficiently scrutinized during the favorable stretch," Adler said. "Now, all of that has changed." This judgment did not come by chance. On the same day, the Wall Street Journal and other media intensively reported on the risks of AI circular financing, and market sentiment suddenly turned. The S&P 500 posted its largest single-day drop since "Liberation Day," hedge funds came under obvious pressure, and market volume surged more than 50% from the previous trading day. Circular Financing: An Overlooked Structural Risk Adler's analysis reveals the core logic of the AI trade over the past few years: hyperscalers relied on their own strong balance sheets to advance capital expenditure, and the market interpreted this as sustained strength in industry fundamentals, spawning an investment chain extending outward from core computing powerchips, optical communications, storage, neoclouds and other "picks and shovels" assets were bought in succession, and risk appetite continued to rise. However, when the expansion logic of these companies shifted from self-funding to external capital market financing, the circularity problem surfaced. So-called "circular financing" refers to a structure in the AI industry chain in which the revenue and financing needs of all parties are interdependent and mutually reinforcingonce capital market conditions tighten or market confidence wavers, this positive cycle may reverse rapidly. Adler acknowledged that this risk did not receive the scrutiny it deserved during the market upswing. Specific signals are already quite clear: META raised financing at a 7.5% interest rate, Marvell Technology (MRVL) shares fell about 40% cumulatively after announcing the LITE transaction, and hedge fund positions came under pressure. "The trade was already wobbling," Adler wrote. "The election result may merely be the last straw." Crowded Trades Under Pressure, Selling Spreads Up and Down the Chain Adler pointed out that crowded positioning is the core pain point in the current market. Hedge fund long-short spread strategies worked somewhat that day, but after the previous trading day's activity, long exposure still appeared overweight. He said that from the afternoon into the close, client inquiries about pain thresholds, factor risk, correlations, position decomposition and fund pressure continued to climb, and market activity matched anxiety levels closely. At the sector level, the shock has clearly spread across the entire AI industry chain: optical communications, memory chips and neoclouds all suffered significant selling pressure. Adler observed that the directional logic of fund flows that day was still reasonable, but the magnitude of the selloff generally surprised market participants. Worth noting is that some of the selling did not stem from a change in fundamental judgment, but carried obvious forced characteristics. "What we are seeing is partly portfolio-level pain and indiscriminate selling," he wrote. At the same time, many investors had previously positioned for a year-end rally, and now with sentiment shifting, some chose to wave goodbye and leave, replacing the conviction to keep holding with frustration. How Great Is the Recession Risk? Divergence Within JPMorgan Under the same report framework, the assessments of Andrew Tyler, head of JPMorgan's market intelligence team, and Adler clearly diverged. Tyler's team maintained a tactically bullish stance, citing historical data that when the Nasdaq 100 is within 6% of its all-time high and falls more than 3.5% in a single day, the index has on average rebounded about 3% the following week, an effect especially pronounced when the decline occurs on a Friday. Tyler also responded to market concerns that a decline in AI capital expenditure could trigger a recession, and gave a negative judgment. He cited multiple indicators: household net worth is at a historical high, cash reserves are ample, and checking account balances are five times pre-COVID levels; corporate profit margins are at or near historical highs, and conditions for large-scale layoffs are not yet in place; and AI itself has a rather limited direct pull on the job markettaking CoreWeave (CRWV), at the center of the storm, as an example, its total workforce is only about 550 people. Tyler's conclusion is that the biggest economic impact of an AI slowdown may be concentrated in GDP growth pressure caused by falling capital expenditure, rather than a broad deterioration in the labor market or consumer spending, and systemic economic risk remains controllable for now. This article is reprinted from the "Wall Street See" APP, author: Zhao Ying; GMTEight editor: Song Zhiying.