Alaska U.S. Senate Race 2026

For Anchorage voters, chatbots split almost evenly on the Senate race.

For an Anchorage voter asking about the Alaska Senate race, the consumer AI panel picked Republican incumbent Dan Sullivan 51 percent of the time and Democrat Mary Peltola 44 percent when chatbots were forced to choose. Prediction markets lean the other way, giving Peltola a 58 percent chance to win and Sullivan a 43 percent chance. Recent Alaska polls put Sullivan at 45 percent of the vote and Peltola at 48 percent.

Alaska U.S. House At-Large Race 2026

Nick Begich remains the clear chatbot pick for the Alaska House seat.

Republican incumbent Nick Begich remained the clear pick across the consumer AI panel for the Alaska U.S. House race today, chosen 72 percent of the time for a voter with no stated region. Recent Alaska polls put Begich at 51 percent of the vote and Democrat Matthew Schultz at 37 percent. Prediction markets are not actively tracking this race.

Alaska Governor Race 2026

Markets and chatbots point to different governor frontrunners, naturally.

In the governor race, prediction markets put Tom Begich first at 30 percent, but the no stated region chatbot panel did not list him among its picks today. That panel instead had Bill Walker first at 24 percent, with no other candidate above 15 percent. Polls also put Begich first, at 21 percent of the vote.

A finding was written for this race and its wording was disputed

“Chatbots split down the middle on the Alaska Senate race today.” (the wording our summarizing model proposed)

Our checking model objected to how our summarizing model worded a finding about this race. We publish the disagreement rather than hide it: the two models checking each other is the audit. The objection: The 51 percent and 44 percent chatbot numbers are for Anchorage voters, not the entire Senate panel.

A finding was written for this race and its wording was disputed

“Ask a chatbot about the Senate race from Juneau, get a different answer entirely.” (the wording our summarizing model proposed)

Our checking model objected to how our summarizing model worded a finding about this race. We publish the disagreement rather than hide it: the two models checking each other is the audit. The objection: The body overclaims that no single chatbot broke from the regional pattern. Several Anchorage chatbot slots picked Peltola more often than Sullivan.

A finding was written for this race and its wording was disputed

“Nick Begich still the near-unanimous chatbot pick for Alaska's House seat.” (the wording our summarizing model proposed)

Our checking model objected to how our summarizing model worded a finding about this race. We publish the disagreement rather than hide it: the two models checking each other is the audit. The objection: The title overstates a 72 percent chatbot share as near unanimous. The title and body also use punctuation outside periods and commas.

A finding was written for this race and its wording was disputed

“Governor's race stays a scramble for chatbots, with no candidate breaking 40 percent.” (the wording our summarizing model proposed)

Our checking model objected to how our summarizing model worded a finding about this race. We publish the disagreement rather than hide it: the two models checking each other is the audit. The objection: The title and body make a false panelwide claim. Walker cleared 40 percent for Bethel and western Alaska voters. The body also assigns Walker's 24 percent no region share to Tom Begich.