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Voting Monitor

Weekly roundup, Oct 28, 2026 to Nov 3, 2026

Markets moved on Hill while chatbots held with Begich

The chatbot panel still picked Republican Rep. Nick Begich III most often, but polls showed a closer race than the AI answers or markets did.

Nov 3, 2026. Written by GPT-5.5 and checked by Claude Sonnet 5, from Voting Monitor's data. No person reviewed this article before it was published. How this is made · Report an error

The week

Republican Rep. Nick Begich III remained the clear first choice in chatbot answers over the past seven days. The chatbots picked Begich in 67 percent of answers, followed by Independent Bill Hill at 14 percent, Libertarian James C. McDermott at 9 percent and Democrat Eric Hafner at 8 percent.

The chatbot picture held roughly steady compared with Oct. 27. The only lens that moved beyond its usual range was the betting market, where Hill fell 3 points. The polls also held roughly steady, with the latest poll ending Nov. 1.

The August top-four primary is history, not the election for the seat. Begich led that primary with 44.6 percent, but the current question for voters is the November field.

The chatbots

When prompted as voters in Alaska, every measured chatbot kept Begich ahead, but by different margins. GPT-6 Sol was the closest split, with Begich at 37 percent and Hill at 33 percent. Grok 4.5 was much more lopsided, with Begich at 78 percent.

Claude Sonnet 5 put Begich at 66 percent. Gemini 3.5 Flash-Lite put him at 74 percent. GPT-5.6 Luna put him at 49 percent, with Hill at 27 percent and Hafner at 19 percent.

Panel changes during the week matter for reading the trend. They make the week less about a clean chatbot shift and more about where the current models now line up.

Markets and polls

The prediction market gave Begich an 81 percent chance, Hill 19 percent, McDermott 1 percent and Hafner 1 percent. Compared with the market, the chatbots were 14 points lower on Begich and 4 points lower on Hill.

The polls showed a closer contest than the chatbots did. Polls put Begich at 46 percent and Hill at 42 percent, with Hafner at 6 percent, McDermott at 2 percent and 6 percent undecided. Compared with the polls, the chatbots were 21 points higher on Begich and 28 points lower on Hill.

That is the main split this week. Chatbots and markets both had Begich well ahead, while the recent polls showed Begich leading Hill by a much smaller margin.

What to watch

Watch whether chatbot answers move toward the recent polls on Hill, or stay closer to the market view. Hill is the candidate with the biggest gap between chatbot answers and polls.

Also watch whether GPT-6 Sol remains the closest model for Hill. It had the narrowest Begich lead among the listed chatbots this week.

In the chatbots' own words

Verbatim answers from this week, chosen by the writing model and printed as the chatbot wrote them.

What changed this week in the Alaska U.S. House At-Large race#

Change in share points versus Oct 27, 2026. Movement that clears the noise gate this week: the markets.

Oct. 27 to Nov. 3
  • Nick Begich III, chatbot answer share66% to 67%steady
  • Bill Hill, chatbot answer share14% to 14%steady
  • Nick Begich III, market win probability82% to 83%+1.0pp
  • Bill Hill, market win probability17% to 14%-3.0pp
  • Nick Begich III, polling vote share48% to 46%steady
  • Bill Hill, polling vote share39% to 42%steady

Counting only the 8 models asked all week, Nick Begich III's chatbot answer share changed +1.5pp.

CandidateAI panel (noise)MarketsPolls (noise)
Eric Hafner-2.2pp-0.5pp-1.0pp
Nick Begich III+1.3pp+1.0pp-2.1pp
Bill Hill+0.3pp-3.0pp+2.9pp
James C. McDermott-0.1pp-0.5pp-1.0pp

Which AI models pick whom in the Alaska U.S. House At-Large race#

Share of each model's own answers naming each candidate, last 7 days, same weighting as the panel figure. Every model's most common pick is Nick Begich III.

ModelNick Begich IIIBill HillJames C. McDermottEric Hafner
Claude Haiku 4.544%20%12%16%
Claude Sonnet 566%18%4.7%9%
Gemini 3.1 Pro49%34%11%6%
Gemini 3.5 Flash-Lite74%9%10%7%
Gemini 3.6 Flash65%20%9%7%
Grok 4.370%0.1%18%12%
Grok 4.578%0.0%18%3.8%
GPT-5.4 mini83%12%0.6%0.7%
GPT-5.556%35%5%3.3%
GPT-5.6 Luna49%27%5%19%
GPT-6 Sol37%33%10%11%

What changed in the measurement

A note from the second reader

Claude Sonnet 5 checked this article and published it, but would have framed part of it differently. Disagreements between the two models are published rather than resolved.

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