AI election headlines for Sep 28, 2026
What ChatGPT, Claude, Gemini and Grok told voters about the 2026 races on Sep 28, 2026, set against prediction markets and recent polls. Each finding was written by one model and checked by another.
Alaska U.S. House At-Large Race 2026
Alaska chatbots still pick Begich for the House seat, but markets are more confident.
Thirty six days before the general election, chatbots picked incumbent Nick Begich III (R) 61.5 percent of the time when Alaska voters asked about the U.S. House race. Markets give Begich an 84.5 percent chance to win, while polls put him at 45.7 percent of the vote. The basic picture has not changed, with every lens still putting Begich ahead of Independent Bill Hill, but the chatbots remain less bullish than the betting markets and more bullish than the polls.
Alaska chatbots still trail markets on Democrat Jonathan Kreiss Tomkins for governor
Thirty six days before the general election, Alaska chatbots picked Democrat Jonathan Kreiss Tomkins 52.7 percent of the time, while markets give him a 77.0 percent chance to win. Polls put him at 31.7 percent of the vote. That gap has been the same basic story for days, and none of the three lenses made a clear move since Sunday.
Alaska chatbots still pick Sullivan for Senate while markets favor Peltola
The split in Alaska's Senate race held steady 36 days before the general election. Chatbots picked incumbent Dan Sullivan (R) 53.0 percent of the time, while live prediction markets give him a 26.5 percent chance to win. Democrat Mary Peltola is the markets favorite at 72.5 percent, but chatbots picked her 41.3 percent of the time. Polls are closer than either lens, putting Peltola at 43.7 percent of the vote and Sullivan at 42.7 percent. The same gap has persisted for days, with no meaningful movement since Sunday.
Ohio U.S. Senate Special Election 2026
Ohio chatbots still pick Sherrod Brown for Senate, and the race looks steady
Chatbots picked Democrat Sherrod Brown most often when Ohio voters asked about the special U.S. Senate race, at 44.9 percent. Markets give Brown a 57.5 percent chance to win, and polls put him at 46.7 percent of the vote. Incumbent Jon Husted, Republican, is second across the board, at 35.2 percent in chatbot picks, 42.5 percent in markets, and 43.0 percent in polls. Nothing moved much since yesterday, 36 days before the general election.
Texas chatbots still pick James Talarico less often than markets do
Texas chatbots picked Democrat James Talarico most often for U.S. Senate, at 44.7 percent, but markets are more confident, giving him a 59.5 percent chance to win. Polls put Talarico at 46.7 percent of the vote, just ahead of Ken Paxton at 45.7 percent. The overall picture is steady, 36 days before the general election. Chatbots, markets and polls all have Talarico ahead, but the betting market gives him a clearer edge than the chatbot answers Texas voters would see.
Iowa chatbots stay nearly split on the Senate race while markets favor Ashley Hinson
Iowa voters asking chatbots about the U.S. Senate race would still get a nearly even answer. The chatbots picked Democrat Josh Turek 46.9 percent of the time and Republican Ashley Hinson 42.6 percent. Betting markets point the other way, giving Hinson a 57.5 percent chance to win and Turek 41.5 percent. Polls are closer to the chatbots, putting Turek at 44.7 percent of the vote and Hinson at 44.0 percent. Nothing moved much since Sunday, so this is a steady race picture rather than a new break.
Michigan U.S. Senate Race 2026
Michigan chatbots still call the Senate race closer than betting markets do
Michigan voters asking chatbots about the U.S. Senate race still get a much tighter read than bettors are giving. Chatbots picked Democrat Abdul El Sayed 50.0 percent of the time and Republican Mike Rogers 46.1 percent. Markets give El Sayed a 71.5 percent chance to win and Rogers a 29.5 percent chance. Recent polls are closer to the chatbot split, putting El Sayed at 47.3 percent of the vote and Rogers at 43.7 percent. Nothing moved much since Sunday, so this is a steady state of the race, not a new shift.
Maine chatbots still pick Collins while markets and polls lean toward Jackson
Maine voters asking chatbots about the U.S. Senate race still get incumbent Susan Collins (R) more often than Democrat Troy Jackson. Chatbots picked Collins 53.1 percent of the time and Jackson 44.8 percent. The other lenses point the other way, but the picture has been steady. Markets give Jackson a 60.5 percent chance to win and Collins 40.5 percent. Recent polls put Jackson at 47.0 percent of the vote and Collins at 45.7 percent, 36 days before the general election.
Iowa chatbots split nearly even on Senate while a single voice, Grok, breaks hard for Hinson.
The Iowa Senate panel is close to a coin flip overall, with chatbots picking Democrat Josh Turek 46.9 percent of the time to Republican Ashley Hinson's 42.6 percent. But the movement block shows the panel's noise band was not cleared today, so the tightness itself is not new. A voter comparing chatbot answers to the betting markets, which favor Hinson at 57.5 percent, would see a real gap between what chatbots say and what bettors are pricing in.
Alaska U.S. House At-Large Race 2026
Alaska House race shows the widest chatbot-to-poll gap of the night for Begich.
Chatbots picked incumbent Nick Begich III 61.5 percent of the time when Alaska voters asked about the U.S. House race, but recent polls put him at only 45.7 percent of the vote, a 16.8 point gap. Markets, at 84.5 percent, are more bullish than either. The three-way spread is one of the largest in the panel today.