ChatGPT Usage: 16.5 million election queries logged
OpenAI reports its model pulled voting data from Democracy Works more than 16.5 million times on Tuesday, a first for the 2026 midterms.
By Nikhil Petrov ·

OpenAI's ChatGPT generated election day information for more than 16.5 million users on Tuesday. The company attributed this volume to a data partnership with the nonprofit Democracy Works. This figure represents queries for logistical details such as registration deadlines, identification requirements, and voting locations.
The count is expected to rise as the day progresses. OpenAI stated that the number excludes questions about specific candidates, race outcomes, or ballot guidance. It captures only requests for factual voting logistics.
Democracy Works is a nonpartisan organization based in Brooklyn, New York. The group builds voting tools and maintains datasets covering federal, state, county, municipal, and school board elections. Its application programming interface includes data for jurisdictions with populations exceeding 5,000 residents.
This is the first midterm cycle in which OpenAI has partnered with Democracy Works. The nonprofit also holds similar agreements with Anthropic and Google. When users ask ChatGPT, Claude, or Gemini for neutral election logistics, the models likely retrieve answers from the Democracy Works API.
Josh Lawson, OpenAI's head of civic and strategic risk, described the arrangement during a briefing last month. He called it a "data freshness layer" that "enhances what we're able to offer to people." Lawson noted that the nonprofit compiles a reliable corpus of information from state and local election offices.
Lawson said Democracy Works monitors updates made throughout the election period. He added that the partnership has changed the user experience compared to 2024. Previously, the model often refused to answer or directed users to websites requiring multiple clicks to find the same information.
AI firms face pressure to provide accurate information as usage increases. The current data flow ensures that models access real-time updates from official election sources rather than relying on static training data.
Source: The Hill
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