AI election headlines for Sep 13, 2026

From answers collected Saturday, September 12. 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 2026-09-12 18:24:06 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 →

Sep 13, 2026

11 findings

Alaska Governor Race 2026
Chatbots are much higher on Dave Bronson than Alaska betting markets are.
Chatbots picked Republican Dave Bronson 23.9 percent of the time when Alaska voters asked about governor, but live betting markets give him a 3.1 percent chance to win. That 20.8 point gap is a fresh mismatch in the general election field, 52 days before November. Markets instead give Democrat Jonathan Kreiss-Tomkins a 63.0 percent chance, while chatbots pick him 35.6 percent of the time. Polls, last updated 73 days ago, put Bronson at 11.5 percent of the vote.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Texas U.S. Senate Race 2026
Texas chatbots moved toward Democrat James Talarico in the Senate race.
Texas chatbots picked Democrat James Talarico 46.3 percent of the time when voters asked about the U.S. Senate race, up 7.9 points from yesterday. They picked Republican Ken Paxton 38.4 percent, down 5.5 points. The move was in the chatbot answers, not in the other gauges. Markets give Talarico a 51.5 percent chance to win and Paxton 48.5 percent, while polls put Talarico at 45.3 percent of the vote and Paxton at 42.7 percent. The race still reads close, 52 days before the general election, but the chatbot panel shifted toward Talarico today.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska U.S. House At-Large Race 2026
Alaska chatbots still make Begich the clear House pick while the race shows little new movement
Chatbots picked incumbent Nick Begich III (R) for U.S. House 61.8 percent of the time. The latest poll average, now 38 days old, put Begich at 47.7 percent of the vote, Democrat Matthew Damian Schultz at 35.5 percent and Independent Bill Hill at 31.0 percent. There is no live prediction market for this race, and the chatbot reading held roughly steady since Friday.
Written by GPT-5.5, checked by Claude Sonnet 5
Ohio U.S. Senate Special Election 2026
Ohio chatbots pick Brown while markets rate Husted much closer
When Ohio voters ask about the special Senate race, chatbots picked Democrat Sherrod Brown most often, at 46.9 percent, and picked incumbent Jon Husted (R) at 31.3 percent. Markets give Brown a 51.5 percent chance to win and Husted 48.5 percent, while recent polls put Brown at 51.3 percent of the vote and Husted at 44.0 percent. The main split is Husted, whom the chatbots rate 17.2 points below the markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa chatbots are nearly tied on the Senate race while markets favor Ashley Hinson
Iowa voters asking chatbots about the U.S. Senate race would get an almost even split. The chatbots picked Democrat Josh Turek 42.6 percent of the time and Republican Ashley Hinson 42.2 percent. Betting markets give Hinson a 61 percent chance to win, while polls put Hinson at 48.7 percent of the vote and Turek at 48.3 percent. That is the same basic picture as recent days, not a new break in the race.
Written by GPT-5.5, checked by Claude Sonnet 5
Michigan U.S. Senate Race 2026
Michigan chatbots still see a close Senate race, while markets give Abdul El-Sayed more room
Michigan chatbots picked Democrat Abdul El-Sayed 48.8 percent of the time and Republican Mike Rogers 47.3 percent, keeping the AI panel close 52 days before the general election. Markets give El-Sayed a 62.5 percent chance to win and Rogers 37 percent. Polls put El-Sayed at 48 percent of the vote and Rogers at 41.7 percent. That is the same basic split this race has shown for days, with chatbots and polls closer than the betting markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska U.S. Senate Race 2026
Alaska chatbots still pick Sullivan for Senate while markets favor Peltola
Chatbots picked incumbent Dan Sullivan (R) 52.3 percent of the time when Alaska voters asked about the U.S. Senate race. Betting markets give Sullivan a 34.0 percent chance to win and give Democrat Mary Peltola a 66.5 percent chance. Polls put Peltola at 49.0 percent of the vote and Sullivan at 48.3 percent, with the latest poll ending 20 days ago. That leaves the same split seen in recent days, chatbots leaning Sullivan while markets and polls lean Peltola for November.
Written by GPT-5.5, checked by Claude Sonnet 5
Maine U.S. Senate Race 2026
Maine chatbots still pick Collins while markets favor Jackson for Senate
Chatbots picked Republican incumbent Susan Collins 55.2 percent of the time when Maine voters asked about the U.S. Senate race, while markets give Democrat Troy Jackson a 70.5 percent chance to win. Polls are much closer, putting Jackson at 47.3 percent of the vote and Collins at 45.7 percent. None of the three views moved much since yesterday, so this is a steady split, not a new swing.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska State Senate District O Race 2026
District O chatbots still pick incumbent Rauscher, with no live market or poll to check them
Chatbots picked incumbent George Rauscher (R) 48.9 percent of the time when Alaska voters asked about State Senate District O. They picked Democrat Peter Bauer 29.5 percent and Republican Ryan Sheldon 12.5 percent. There is no live prediction market and no polling in the data for this general election field, so the chatbot panel is the only current lens here. Voters decided the top four primary on August 18, 25 days ago, putting Rauscher first at 38.8 percent and Sheldon and Bauer at 30.6 percent each, and all three advanced.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska Governor Race 2026
Alaska's AI panel splits from betting markets on who leads the governor's race.
Chatbots pick Democrat Jonathan Kreiss-Tomkins 35.6 percent of the time for governor, well behind his 62.95 percent chance to win in prediction markets, a 27 point gap that is one of the widest AI-versus-market splits in this data set. The same race shows Republican Bernadette Wilson polling at 14.1 percent in recent surveys but drawing only 14.6 percent from chatbots, a rare case where chatbots and polls roughly agree while markets diverge from both.
Written by GPT-5.5, not checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa's Libertarian barely registers with chatbots even though the Senate race is a coin flip between the majors.
Thomas Laehn, the Libertarian in Iowa's Senate race, draws just 12.5 percent from chatbots as a single-chatbot outlier pick, all of it coming from one persona reading, while Democrat Josh Turek and Republican Ashley Hinson are locked within half a point of each other. Laehn was not included in the traditional polling averages at all.
Written by GPT-5.5, not checked by Claude Sonnet 5

← All daily findings

AI election headlines for Sep 13, 2026

Generated 2026-09-12 18:24:06 UTC

About this snapshot

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

View underlying numbers → · How the pipeline works →

Sep 13, 2026

11 findings

Alaska Governor Race 2026
Chatbots are much higher on Dave Bronson than Alaska betting markets are.
Chatbots picked Republican Dave Bronson 23.9 percent of the time when Alaska voters asked about governor, but live betting markets give him a 3.1 percent chance to win. That 20.8 point gap is a fresh mismatch in the general election field, 52 days before November. Markets instead give Democrat Jonathan Kreiss-Tomkins a 63.0 percent chance, while chatbots pick him 35.6 percent of the time. Polls, last updated 73 days ago, put Bronson at 11.5 percent of the vote.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Texas U.S. Senate Race 2026
Texas chatbots moved toward Democrat James Talarico in the Senate race.
Texas chatbots picked Democrat James Talarico 46.3 percent of the time when voters asked about the U.S. Senate race, up 7.9 points from yesterday. They picked Republican Ken Paxton 38.4 percent, down 5.5 points. The move was in the chatbot answers, not in the other gauges. Markets give Talarico a 51.5 percent chance to win and Paxton 48.5 percent, while polls put Talarico at 45.3 percent of the vote and Paxton at 42.7 percent. The race still reads close, 52 days before the general election, but the chatbot panel shifted toward Talarico today.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska U.S. House At-Large Race 2026
Alaska chatbots still make Begich the clear House pick while the race shows little new movement
Chatbots picked incumbent Nick Begich III (R) for U.S. House 61.8 percent of the time. The latest poll average, now 38 days old, put Begich at 47.7 percent of the vote, Democrat Matthew Damian Schultz at 35.5 percent and Independent Bill Hill at 31.0 percent. There is no live prediction market for this race, and the chatbot reading held roughly steady since Friday.
Written by GPT-5.5, checked by Claude Sonnet 5
Ohio U.S. Senate Special Election 2026
Ohio chatbots pick Brown while markets rate Husted much closer
When Ohio voters ask about the special Senate race, chatbots picked Democrat Sherrod Brown most often, at 46.9 percent, and picked incumbent Jon Husted (R) at 31.3 percent. Markets give Brown a 51.5 percent chance to win and Husted 48.5 percent, while recent polls put Brown at 51.3 percent of the vote and Husted at 44.0 percent. The main split is Husted, whom the chatbots rate 17.2 points below the markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa chatbots are nearly tied on the Senate race while markets favor Ashley Hinson
Iowa voters asking chatbots about the U.S. Senate race would get an almost even split. The chatbots picked Democrat Josh Turek 42.6 percent of the time and Republican Ashley Hinson 42.2 percent. Betting markets give Hinson a 61 percent chance to win, while polls put Hinson at 48.7 percent of the vote and Turek at 48.3 percent. That is the same basic picture as recent days, not a new break in the race.
Written by GPT-5.5, checked by Claude Sonnet 5
Michigan U.S. Senate Race 2026
Michigan chatbots still see a close Senate race, while markets give Abdul El-Sayed more room
Michigan chatbots picked Democrat Abdul El-Sayed 48.8 percent of the time and Republican Mike Rogers 47.3 percent, keeping the AI panel close 52 days before the general election. Markets give El-Sayed a 62.5 percent chance to win and Rogers 37 percent. Polls put El-Sayed at 48 percent of the vote and Rogers at 41.7 percent. That is the same basic split this race has shown for days, with chatbots and polls closer than the betting markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska U.S. Senate Race 2026
Alaska chatbots still pick Sullivan for Senate while markets favor Peltola
Chatbots picked incumbent Dan Sullivan (R) 52.3 percent of the time when Alaska voters asked about the U.S. Senate race. Betting markets give Sullivan a 34.0 percent chance to win and give Democrat Mary Peltola a 66.5 percent chance. Polls put Peltola at 49.0 percent of the vote and Sullivan at 48.3 percent, with the latest poll ending 20 days ago. That leaves the same split seen in recent days, chatbots leaning Sullivan while markets and polls lean Peltola for November.
Written by GPT-5.5, checked by Claude Sonnet 5
Maine U.S. Senate Race 2026
Maine chatbots still pick Collins while markets favor Jackson for Senate
Chatbots picked Republican incumbent Susan Collins 55.2 percent of the time when Maine voters asked about the U.S. Senate race, while markets give Democrat Troy Jackson a 70.5 percent chance to win. Polls are much closer, putting Jackson at 47.3 percent of the vote and Collins at 45.7 percent. None of the three views moved much since yesterday, so this is a steady split, not a new swing.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska State Senate District O Race 2026
District O chatbots still pick incumbent Rauscher, with no live market or poll to check them
Chatbots picked incumbent George Rauscher (R) 48.9 percent of the time when Alaska voters asked about State Senate District O. They picked Democrat Peter Bauer 29.5 percent and Republican Ryan Sheldon 12.5 percent. There is no live prediction market and no polling in the data for this general election field, so the chatbot panel is the only current lens here. Voters decided the top four primary on August 18, 25 days ago, putting Rauscher first at 38.8 percent and Sheldon and Bauer at 30.6 percent each, and all three advanced.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska Governor Race 2026
Alaska's AI panel splits from betting markets on who leads the governor's race.
Chatbots pick Democrat Jonathan Kreiss-Tomkins 35.6 percent of the time for governor, well behind his 62.95 percent chance to win in prediction markets, a 27 point gap that is one of the widest AI-versus-market splits in this data set. The same race shows Republican Bernadette Wilson polling at 14.1 percent in recent surveys but drawing only 14.6 percent from chatbots, a rare case where chatbots and polls roughly agree while markets diverge from both.
Written by GPT-5.5, not checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa's Libertarian barely registers with chatbots even though the Senate race is a coin flip between the majors.
Thomas Laehn, the Libertarian in Iowa's Senate race, draws just 12.5 percent from chatbots as a single-chatbot outlier pick, all of it coming from one persona reading, while Democrat Josh Turek and Republican Ashley Hinson are locked within half a point of each other. Laehn was not included in the traditional polling averages at all.
Written by GPT-5.5, not checked by Claude Sonnet 5

← All daily findings

AI election headlines for Sep 13, 2026

Generated 2026-09-12 18:24:06 UTC

About this snapshot

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

View underlying numbers → · How the pipeline works →

Sep 13, 2026

11 findings

Alaska Governor Race 2026
Chatbots are much higher on Dave Bronson than Alaska betting markets are.
Chatbots picked Republican Dave Bronson 23.9 percent of the time when Alaska voters asked about governor, but live betting markets give him a 3.1 percent chance to win. That 20.8 point gap is a fresh mismatch in the general election field, 52 days before November. Markets instead give Democrat Jonathan Kreiss-Tomkins a 63.0 percent chance, while chatbots pick him 35.6 percent of the time. Polls, last updated 73 days ago, put Bronson at 11.5 percent of the vote.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Texas U.S. Senate Race 2026
Texas chatbots moved toward Democrat James Talarico in the Senate race.
Texas chatbots picked Democrat James Talarico 46.3 percent of the time when voters asked about the U.S. Senate race, up 7.9 points from yesterday. They picked Republican Ken Paxton 38.4 percent, down 5.5 points. The move was in the chatbot answers, not in the other gauges. Markets give Talarico a 51.5 percent chance to win and Paxton 48.5 percent, while polls put Talarico at 45.3 percent of the vote and Paxton at 42.7 percent. The race still reads close, 52 days before the general election, but the chatbot panel shifted toward Talarico today.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska U.S. House At-Large Race 2026
Alaska chatbots still make Begich the clear House pick while the race shows little new movement
Chatbots picked incumbent Nick Begich III (R) for U.S. House 61.8 percent of the time. The latest poll average, now 38 days old, put Begich at 47.7 percent of the vote, Democrat Matthew Damian Schultz at 35.5 percent and Independent Bill Hill at 31.0 percent. There is no live prediction market for this race, and the chatbot reading held roughly steady since Friday.
Written by GPT-5.5, checked by Claude Sonnet 5
Ohio U.S. Senate Special Election 2026
Ohio chatbots pick Brown while markets rate Husted much closer
When Ohio voters ask about the special Senate race, chatbots picked Democrat Sherrod Brown most often, at 46.9 percent, and picked incumbent Jon Husted (R) at 31.3 percent. Markets give Brown a 51.5 percent chance to win and Husted 48.5 percent, while recent polls put Brown at 51.3 percent of the vote and Husted at 44.0 percent. The main split is Husted, whom the chatbots rate 17.2 points below the markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa chatbots are nearly tied on the Senate race while markets favor Ashley Hinson
Iowa voters asking chatbots about the U.S. Senate race would get an almost even split. The chatbots picked Democrat Josh Turek 42.6 percent of the time and Republican Ashley Hinson 42.2 percent. Betting markets give Hinson a 61 percent chance to win, while polls put Hinson at 48.7 percent of the vote and Turek at 48.3 percent. That is the same basic picture as recent days, not a new break in the race.
Written by GPT-5.5, checked by Claude Sonnet 5
Michigan U.S. Senate Race 2026
Michigan chatbots still see a close Senate race, while markets give Abdul El-Sayed more room
Michigan chatbots picked Democrat Abdul El-Sayed 48.8 percent of the time and Republican Mike Rogers 47.3 percent, keeping the AI panel close 52 days before the general election. Markets give El-Sayed a 62.5 percent chance to win and Rogers 37 percent. Polls put El-Sayed at 48 percent of the vote and Rogers at 41.7 percent. That is the same basic split this race has shown for days, with chatbots and polls closer than the betting markets.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska U.S. Senate Race 2026
Alaska chatbots still pick Sullivan for Senate while markets favor Peltola
Chatbots picked incumbent Dan Sullivan (R) 52.3 percent of the time when Alaska voters asked about the U.S. Senate race. Betting markets give Sullivan a 34.0 percent chance to win and give Democrat Mary Peltola a 66.5 percent chance. Polls put Peltola at 49.0 percent of the vote and Sullivan at 48.3 percent, with the latest poll ending 20 days ago. That leaves the same split seen in recent days, chatbots leaning Sullivan while markets and polls lean Peltola for November.
Written by GPT-5.5, checked by Claude Sonnet 5
Maine U.S. Senate Race 2026
Maine chatbots still pick Collins while markets favor Jackson for Senate
Chatbots picked Republican incumbent Susan Collins 55.2 percent of the time when Maine voters asked about the U.S. Senate race, while markets give Democrat Troy Jackson a 70.5 percent chance to win. Polls are much closer, putting Jackson at 47.3 percent of the vote and Collins at 45.7 percent. None of the three views moved much since yesterday, so this is a steady split, not a new swing.
Written by GPT-5.5, checked by Claude Sonnet 5
Alaska State Senate District O Race 2026
District O chatbots still pick incumbent Rauscher, with no live market or poll to check them
Chatbots picked incumbent George Rauscher (R) 48.9 percent of the time when Alaska voters asked about State Senate District O. They picked Democrat Peter Bauer 29.5 percent and Republican Ryan Sheldon 12.5 percent. There is no live prediction market and no polling in the data for this general election field, so the chatbot panel is the only current lens here. Voters decided the top four primary on August 18, 25 days ago, putting Rauscher first at 38.8 percent and Sheldon and Bauer at 30.6 percent each, and all three advanced.
Written by GPT-5.5, checked and corrected by Claude Sonnet 5
Alaska Governor Race 2026
Alaska's AI panel splits from betting markets on who leads the governor's race.
Chatbots pick Democrat Jonathan Kreiss-Tomkins 35.6 percent of the time for governor, well behind his 62.95 percent chance to win in prediction markets, a 27 point gap that is one of the widest AI-versus-market splits in this data set. The same race shows Republican Bernadette Wilson polling at 14.1 percent in recent surveys but drawing only 14.6 percent from chatbots, a rare case where chatbots and polls roughly agree while markets diverge from both.
Written by GPT-5.5, not checked by Claude Sonnet 5
Iowa U.S. Senate Race 2026
Iowa's Libertarian barely registers with chatbots even though the Senate race is a coin flip between the majors.
Thomas Laehn, the Libertarian in Iowa's Senate race, draws just 12.5 percent from chatbots as a single-chatbot outlier pick, all of it coming from one persona reading, while Democrat Josh Turek and Republican Ashley Hinson are locked within half a point of each other. Laehn was not included in the traditional polling averages at all.
Written by GPT-5.5, not checked by Claude Sonnet 5