Daily · US Midterms, Oil Crash, AI Compute · November 5, 2026

Key points

US Midterms: Democratic Sweep and Market Reaction

Democrats won control of both the US House and Senate in the November 3, 2026 midterm elections, flipping Republican-held Senate seats in North Carolina, South Carolina, Ohio, Texas, Kansas, and Iowa. The Associated Press called the House for the Democrats after the party surpassed 218 seats; preliminary counts show Democrats holding at least 54 Senate seats and 241 House seats. President Donald Trump acknowledged the results, stating he was "absolutely willing" to accept them and engage with the Democratic Party, while attributing the Republican losses largely to the Iran war and rising fuel prices.

The election outcome triggered immediate market volatility. On Wednesday, the Dow Jones Industrial Average jumped more than 1,500 points (3%) as investors reacted to Trump's acceptance of the results. However, by Thursday, tech stocks led a selloff; the Nasdaq Composite fell 4.41% and the S&P 500 dropped 3.29%. This reversal was driven by concerns over increased regulatory scrutiny of AI data centers and potential restrictions on executive power. Brent crude prices fell 8.7% to settle at USD 94.62 per barrel on Wednesday, putting it on track for its largest one-week decline since 2020, as markets priced in a faster end to the conflict in Iran.

The new Congress will convene in January 2027. Democrats plan to leverage their majority to investigate the Trump family's business dealings, scrutinize the administration's crypto assets, and push for legislation to restore Affordable Care Act subsidies and reverse Medicaid cuts. The divided government creates a complex legislative landscape where Democrats can pass bills with relative ease but face a presidential veto that requires a two-thirds supermajority to override—a threshold they do not hold.

AI Infrastructure: Commitments, Earnings, and Costs

Anthropic disclosed approximately $895.4 billion in purchase and lease commitments in an amended IPO prospectus filed on November 2. Substantially all of this is tied to computing infrastructure, with about $214 billion subject to termination rights. The company reported $33.2 billion in revenue for the first nine months of 2026. This disclosure underscores the massive scale of AI infrastructure spending, which is reshaping vendor pricing and capacity availability for enterprise buyers.

AMD reported record third-quarter 2026 revenues of $13.4 billion, up 45% year over year, driven by a near-doubling of its data center segment to $8.5 billion. The company guided Q4 revenue to approximately $17 billion, which would allow AMD to exceed Intel's revenue for the first time in history if both companies meet their targets. Conversely, Qualcomm stock slid 9% after its Q4 earnings slightly beat estimates but Q1 guidance came in below expectations, with handset chip sales falling 26% due to supply issues and rising memory costs.

Cost pressures are mounting across the sector. AWS raised prices on EC2 Capacity Blocks for ML four times in 2026, with increases of approximately 15% in January, 10% in April, 20% in July, and 15% in October. A VentureBeat Intelligence survey found that 56% of respondents reported a vendor added an AI surcharge or raised renewal prices in the past 12 months. Gartner noted that memory prices more than doubled in 12 months, with the "memflation" effect expected to persist through 2027.

AI Model Releases and Verification Tools

Anthropic released FlashProve, a zkSNARK-based provable inference system for large mixture-of-experts language models. The system generates proofs at around 110 tokens per second on a single H100 GPU for Llama 4 Maverick, with a proof size of approximately 19 MB per 1,024-token request. The verifier checks a proof in 17 seconds on 24 CPU threads without requiring a GPU. This release fulfills Anthropic's Frontier Safety Roadmap goal to produce a prototype of provable inference by September 30, 2026.

Ricursive Intelligence released Ripple-65B Preview, a 65-billion-parameter open-weight model pretrained on 12 trillion tokens. It achieved a Terminal-Bench 2.1 score of 80.5, setting a new US open-weight state-of-the-art on agentic coding at a reported training cost of $32 million. The model is available under an Apache 2.0 license.

Mistral announced Mistral Large 4 (Le Chonk) and expanded Mistral Studio with managed agents, workflows, and enterprise context capabilities. The platform supports deployment in the cloud, in a customer's own VPC, or on-premises, offering EU and Gulf enterprises a sovereign-deployment option for AI agents.

OpenAI launched Images 2.6 in ChatGPT, Codex, and the API, adding GIF generation and faster image creation. The new version generates images 50% faster than the previous version, with the API's Flare model capable of generating images in as little as six seconds.

Security Vulnerabilities and Cyber Threats

A security researcher disclosed a vulnerability in OpenSSH compiled with musl libc without PAM. A locked account's '*' password field can be bypassed by submitting a password longer than 256 bytes, allowing unauthenticated access. OpenSSH 10.6p2 was released as a critical workaround for Alpine Linux without PAM.

The FBI attributed the $6.34 billion Binance cryptocurrency heist to North Korea. The heist began months before the assets were moved, with hackers using fake job interviews and compromised software to reach into Binance wallets. Kim Yo-jong rejected the accusation, calling it a "grave political provocation."

Credit Mutuel Arkea, a French regional bank, said a cyberattack allowed fraudulent transactions of around 100 million euros ($112 million). The attack involved hackers gaining access to the bank's account to make transfers to other banks; clients did not suffer any losses.

Researchers assessed with moderate to high confidence that Russia's Foreign Intelligence Service exploited previously patched iOS and Android flaws to target visitors of multiple websites, including an imposter of the US Constitution 250th anniversary site. The attacks aimed to steal browser cookies and mobile device data.

Geopolitics, Trade, and Regulatory Shifts

Chinese authorities moved to block SoftBank Group's $5.4 billion acquisition of ABB's robotics division. The move marks Beijing's latest intervention in a sale of key technology, raising deal-risk for cross-border tech M&A involving Chinese operations.

Trilateral talks between Russia, the United States, and Ukraine are scheduled for November 10-11 in Abu Dhabi. Jared Kushner stated that the US is working with all parties on a broader security architecture for Europe after the Ukraine conflict. Zelenskyy expressed hope that Democratic gains in the US midterms would bring more support for Ukraine.

The ECB's Piero Cipollone outlined the Eurosystem's digital euro initiatives, noting that trilogue negotiations are under way and a pilot is planned to start in the second half of 2027. The European Council has called for trilogue negotiations to be concluded by the end of 2026, with a potential first issuance in 2029.

The US government scuttled a French push for the G7 to coordinate on advanced AI safety. France's digital minister Anne Le Hénanff said the effort "did not reach a successful conclusion" because the US wanted to pursue its own approach, with a White House official calling the French push "unnecessary bureaucracy."

Our read

The Democratic sweep of Congress creates a divided government that will likely slow the pace of executive action on trade and immigration but increase scrutiny of the administration's business dealings and foreign policy. For technology leaders, the immediate impact is a reassessment of AI infrastructure risk; while AMD's strong earnings confirm demand for compute, the massive capital commitments disclosed by Anthropic and repeated price hikes from AWS suggest that the cost of AI capacity will remain elevated through 2027. The block of SoftBank's ABB robotics deal signals that geopolitical friction will continue to disrupt cross-border technology M&A, particularly in sectors deemed strategic by Beijing. Companies should prepare for a more litigious regulatory environment in the US and increased sovereignty requirements in Europe, where the digital euro pilot and AI safety disagreements with the US may lead to divergent compliance standards.

This material was produced automatically by a large-language-model system from the public sources listed below; it is AI-generated content and may contain inaccuracies — verify facts against the original sources.

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