Midterm blue wave triggers a global AI selloff: chip index falls 12% in a day
Democrats midterm blue wave triggered a global AI selloff on November 5: the SOX chip index fell about 12%, the Nasdaq dropped 5.5% into a correction.
The midterm blue wave took exactly one trading day to reach the stock market. On November 5, the session after Democrats won both chambers of Congress and 43 of 44 local data-center moratorium measures passed, the Philadelphia Semiconductor Index fell about 12% — its second-worst single day on record, per Reuters — and the Nasdaq Composite dropped 5.5%, leaving it 11.9% below its recent high and in a technical correction. We covered the voter side of this result on November 4, when US midterms rejected AI data center measures; on Thursday it was the market’s turn to price the same ballots, chip by chip.
Key points
- The November 5 session was the worst for US equities since April 2025: Nasdaq -5.5%, S&P 500 -4.4% with all 11 sectors lower, Dow down about 1,833 points, and the information-technology sector -7.3%, its worst day since March 2020 (CNBC).
- Chips led the losses: SOX fell about 12% (Reuters calls it the second-worst single day in the index’s history), AMD and Micron dropped roughly 17% each, Nvidia lost 9.3% or over $440 billion of market value, and the five richest people lost a combined $152.9 billion in one day per the Forbes real-time list.
- The electoral link is direct: The Verge counts 43 of 44 data-center moratorium measures passed, an NBC poll found 76% of surveyed voters oppose data centers in their communities, and Yorkville Ives analysts estimate up to 1,000 planned data center projects could slow.
Background
The trigger was the election itself: voting on November 3, results through November 4. Democrats took the House, the Senate and several governorships that matter for permitting. The Verge’s count of the ballot measures — 43 of 44 moratoria passed — uses a narrower definition than 404 Media’s earlier tally of all restrictive measures, but the direction matches. Some of the winners campaigned on stopping construction: Texas governor-elect Gina Hinojosa pledged to halt data center approvals, and New Mexico’s governor-elect pledged a moratorium of her own. Markets initially traded the Democratic win as good news — CNBC recorded a 1,500-point Dow rally on results day, the best session since April 2025. On November 5 the selloff erased that and went further. Elon Musk spent roughly $450 million backing Republican candidates; Tesla closed down 10.8%.
The selloff numbers
The main November 5 moves, cross-checked between CNBC and figures carried by IT之家 from Reuters, AP, Bloomberg and Forbes (US close, Eastern time):
| Metric | Day move | Note |
|---|---|---|
| Nasdaq Composite | -5.5% | 11.9% off its high; worst day since April 2025 |
| S&P 500 | -4.4% | All 11 sectors closed lower |
| Dow Jones Industrial | ~ -1,833 points (-3.4%) | |
| Philadelphia Semi Index | ~ -12% | Second-worst day on record per Reuters; SOXX -15% week |
| Nvidia | -9.3% | Lost over $440B; now negative for 2026 |
| AMD, Micron | ~ -17% each | |
| Tesla | -10.8% | Bloomberg reports ~ -11% intraday |
| VIX | +11.57 points | Highest since March 31 |
The Magnificent Seven lost over $1 trillion of combined market value (CNBC), and NYSE decliners beat advancers 2,344 to 416. The Forbes real-time list put the day’s wealth loss for the five richest people at about $152.9 billion: Musk -$91.2B (-10.5%), Michael Dell -$20.5B, Jensen Huang -$15.1B (out of the global top ten), Larry Ellison -$13.2B, Mark Zuckerberg -$12.9B. Yesterday we wrote about SpaceX buying 418 homes next to its Colossus data center; a day later Musk’s paper fortune was down $91.2 billion on the Forbes tally. CNBC also noted that market odds of the Fed hiking from the current 3.75%-4.00% range fell from 82.7% to 70.1% — money is repricing growth and rates at the same time.
Asia chain reaction
The selloff did not stop at the US close. In early trading on Friday, November 6, South Korea’s Kospi plunged more than 8%, fell below 5,000 and triggered circuit breakers (CNBC), with Kosdaq down over 7%. Japan’s Nikkei 225 lost 5.9%, more than 20% below its June peak — a bear market. Samsung Electronics fell about 7% and SK Hynix more than 8% early on (morning figures, still moving); TSMC dropped 9.6%, Hon Hai 9.4%, and in Japan Advantest fell 12.2%, SoftBank Group 11.6% and Tokyo Electron 7.3%. Memory chips and HBM sit at the narrowest point of the AI data center supply chain, and Asian markets translated the US election result into the same language.
Credit warning
Credit markets flagged this repricing before the election did. Per Forbes on October 14, bonds of AI cloud provider CoreWeave were already yielding nearly 15% — a company that funds data centers with debt trading at double-digit yields says debt markets started doubting the capex-heavy model before equities moved. On November 5 CoreWeave stock fell about 10% more (CNBC). The election tightens that credit chain: tighter permits cut growth forecasts, lower forecasts raise financing costs, and higher financing costs cap the next round of construction. As of publication, no first-hand reporting on post-election bond pricing is available to verify, so we are not quoting rumored yield figures here.
What others say
Readings of the same session diverge. On Truth Social, Trump wrote that “the Stock Market suffered one of the Worst Days in History based on the results of the Election” (carried by CNBC). Keith Lerner, chief investment officer at Truist Wealth, cautioned that “the rubber band is becoming increasingly stretched.” Tim Holland, CIO at Orion, said he is stepping aside until the midterms’ implications for the AI capex cycle are clearer; research firm Macro Research Board went further: “The shakeout in A.I.-related stocks has much further to run.” On the politics, Wes McEnany — formerly deputy labor policy director at the Senate HELP committee, now at the Future of Life Institute — called the result a “total repudiation” of the AI field (The Verge), and Shaunna Thomas, co-founder of the Guardrails Alliance, said the data center backlash is “one of the most bipartisan political issues I’ve ever seen.” Pushback exists: Katie Barr, CEO of the Glen Echo Group, warned against reading the result as a rejection of tech — it was a reckoning on “affordability, jobs, safety” — and Adam Kovacevich of the Chamber of Progress wondered whether Democrats will return to “the Biden era war on tech, the Obama era tech honeymoon, or something in between.”
Our take
The session will pass; the repricing logic will not. Markets are not repricing AI demand — they are repricing permitting risk, which now carries an electoral mandate. Three lines matter for developers and product teams. Compute prices: as we noted in our election coverage, 300-plus local restrictions previously delayed only three projects, and roughly 38 GW of new capacity is still slated for 2027; if political resistance starts delaying projects at scale, scarcity shows up first in cloud pricing and training schedules. Compliance costs: the road for state-level AI laws is now clear — The Verge’s sources say Republican attempts to preempt state AI restrictions have no path forward, and the Sanders-Casar “ban superintelligence” bill sits in Congress. Financing: one day earlier, OpenAI published its National Community Compact, pledging to pay power costs and drop siting NDAs — the industry was already conceding before the vote; the question now is whether capex plans follow. Two caveats: a one-day move is not a trend, and markets recovered after the April 2025 tariff crash; and the $152.9 billion “loss” is a Forbes real-time-list paper figure, not realized losses.
What to watch
Dated checkpoints: from mid-November, state legislatures organize and the first blue-state AI bills appear; around December, whether the House Democratic majority opens CEO hearings on AI companies, which Greg Casar has publicly demanded; next earnings season, whether Yorkville Ives’s estimate of up to 1,000 slowed projects shows up in hyperscaler calls; and every Fed meeting from here — CNBC’s odds tracking shows rate expectations are now tied to AI capex.