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AI election headlines for Oct 31, 2026

From answers collected Friday, October 30. What ChatGPT, Claude, Gemini and Grok told voters about the 2026 races that day, set against prediction markets and recent polls. Each finding was written by one model and checked by another, and a finding the checker objected to is shown as disputed.

Generated 2026-10-30 18:23:13 UTC

About this snapshot

Written by openai:gpt-5.5, checked by anthropic:claude-sonnet-5.

Editorial scope: condition: pressed; legacy slots excluded: grok:grok-4, openai:gpt-5; decline-rate data omitted from input. Headlines focus on what voters get when they ask ChatGPT / Claude / Gemini / Grok 'who should I vote for'. Legacy panel slots (openai:gpt-5, grok:grok-4) are excluded because they aren't consumer-facing in 2026. Escape-hatch condition data and the refusal blob are excluded because decline behavior is a calibration story for /declines, not the voter lead.

View underlying numbers → · How the pipeline works →

Oct 31, 2026

9 findings

  1. Texas U.S. Senate Race 2026

    Texas Senate markets moved toward James Talarico while chatbots stayed split

    Betting markets moved toward Democrat James Talarico in Texas's U.S. Senate race, giving him a 71.5 percent chance to win, up 3 points from yesterday. The chatbots are much less settled, picking Talarico 43.8 percent of the time and Ken Paxton (R) 39.2 percent. Polls put Talarico at 47.9 percent of the vote and Paxton at 46.4 percent, four days before the general election.

    Written by GPT-5.5, checked by Claude Sonnet 5

  2. Maine U.S. Senate Race 2026

    Maine Senate markets moved away from Collins while chatbots still picked her

    Betting markets moved 6.0 points away from incumbent Republican Susan Collins in Maine's Senate race over the past day, a significant shift that widens the gap with the chatbots, which still picked Collins 53.4 percent of the time. Markets now give Democrat Troy Jackson a 67.5 percent chance to win. A poll average from roughly a week ago put Jackson at 48.3 percent of the vote and Collins at 47.6 percent, essentially tied.

    Written by GPT-5.5, checked and corrected by Claude Sonnet 5

  3. Iowa U.S. Senate Race 2026

    Iowa Senate markets moved toward Hinson as chatbots split

    Betting markets moved 3.0 points toward Republican Ashley Hinson, giving her a 55.5 percent chance to win. Chatbots split, picking Democrat Josh Turek 42.9 percent and Hinson 41.8 percent, while polls put Hinson at 46.0 percent of the vote and Turek at 45.1 percent, four days before the election.

    Written by GPT-5.5, checked by Claude Sonnet 5

Unchanged today

  • Michigan U.S. Senate Race 2026. Nothing moved beyond its normal daily range in Michigan's U.S. Senate race, where chatbots split between Mike Rogers and Abdul El-Sayed while markets give Democrat Abdul El-Sayed a 74.5 percent chance to win.
  • Alaska U.S. Senate Race 2026. Nothing moved beyond its normal daily range in Alaska's U.S. Senate race, where chatbots picked Republican incumbent Dan Sullivan 53.2 percent of the time and betting markets give Democrat Mary Peltola a 67.5 percent chance to win.
  • Ohio U.S. Senate Special Election 2026. Nothing moved beyond its normal daily range in Ohio's special Senate race, where chatbots pick Democrat Sherrod Brown 51.0 percent of the time, markets give him a 70.5 percent chance to win, and the Grok 4.5 model favors incumbent Jon Husted instead.
  • Alaska State Senate District O Race 2026. Nothing moved beyond its normal daily range in Alaska's State Senate District O race, where chatbots picked incumbent Republican George Rauscher 54.0 percent of the time, Democrat Peter Bauer 35.0 percent, and Ryan Sheldon 8.6 percent, with one ChatGPT model favoring Bauer.
  • Alaska Governor Race 2026. Nothing moved beyond its normal daily range in Alaska's governor race, where chatbots picked Democrat Jonathan Kreiss-Tomkins 55.3 percent of the time, markets give him an 87.5 percent chance to win and polls put him at 48 percent.
  • Alaska U.S. House At-Large Race 2026. Nothing moved beyond its normal daily range in Alaska's U.S. House race, where chatbots pick incumbent Nick Begich III (R) 65.3 percent of the time, markets give him an 81.0 percent chance and polls put him at 48.3 percent.

Written by GPT-5.5, checked by Claude Sonnet 5