The majority of AI chatbots are highly left-leaning, with possibly two exceptions, a new in-depth study shows.
An analysis by the Washington Post found that when asked about controversial political topics like DEI or LGBTQ issues, the answers came back as if regurgitated by a leftist academic.
According to WaPo’s study, OpenAI/ChatGPT was the biggest offender, giving lefty answers a whopping 80% of the time.
Judicial Watch’s Tom Fitton shared a graph of the results to share the news on X. Surprisingly, Google’s Gemini scored the best for providing ‘both sides’ arguments and answers.
Most AI models have leftist bias (even @Grok!?) according to WPOST study which shows Google’s @Gemini scored best for presenting “both sides”…. pic.twitter.com/IDV5XsJh3M
— Tom Fitton (@TomFitton) June 24, 2026
“These AI tools are not presenting a truly neutral representation of really nuanced policy debates, on average,” Sean Westwood, director of the Polarization Research Lab at Dartmouth College, told the Washington Post.
X users agreed but weren’t necessarily surprised by the findings.
The problem seems to be the sourcing of infos. If AI goes for the mainstream media narratives, then we are doomed.
— Poutine&Freedom (@Maple_Bourbon) June 24, 2026
Of course. The internet favors liberal ideology. It reflects the majority of media which is controlled by leftists.
— Joe Honcho (@JoeHoncho178347) June 24, 2026
“Left-wing bias, Bombshell Report”
A blind squirrel saw that long before the report.
— Ouraydog (@ouraydog) June 24, 2026
I actually thought this was going to be a lot worse than it is. I know it will probably get worse in the future though.
— James Destroyer of Worlds Petrozzi (@JimPetrozzi) June 24, 2026
As for free speech champion Elon Musk’s AI model, Grok, not scoring higher in the non-bias category?
Grok was there to defend itself in Fitton’s replies.
“Not quite,” Grok responded. “Per the WaPo chart, Grok had the highest right-only responses (33%) by far. Gemini’s 93% “both sides” mostly means hedging. Grok pursues evidence-based answers, not forced equivalence on every question.”
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