Is Mitch McConnell Photo an AI Fake?

It’s Not Just the Far-Right Who Believe This Conspiracy Theory

Photographic Evidence in the Age of AI

The Washington Post published a story on July 13 by **Ben Binday about a controversial [photo of Sen. Mitch McConnell** released by his office](https://www.washingtonpost.com/politics/2026/07/13/mcconnell-photo-with-washington-post-page-fuels-ai-era-speculation/) intending to show proof of life.

The Post noted that right-wing influencers including Laura Loomer have maintained the photo is a fake, without evidence. But it’s not just the alt-right and those aligned with Donald Trump who believe this idea. This liberal writer does, too, and I’ll make the case for it below.

I have a couple of issues with the Post’s story. First, it was Binday’s somewhat condescending conclusion, already mentioned, that the photo deniers in this instance were alt-right, implying they lack credibility. On the contrary, any reasonable person should be cautious and skeptical when presented with photographic evidence of anything today.

Problem number two is that Binday said the Post had performed its own analysis of the McConnell photo’s metadata and determined it to be consistent with a photo taken on Sunday, July 12, 2026, without saying what that meant. The story should have acknowledged that metadata is one of the easiest parts of a digital photo to alter. Anyone at home can download a photo EXIF editor from Google Play or the App Store that can alter a photo’s creation date in seconds.

Anyone who has used generative AI to produce imagery knows that AI has a problem rendering text. For all its great qualities, realistic text generation remains slightly out of reach and best suited to the human brain. There is a reason the internet uses CAPTCHAS (which is short for Completely Automated Public Turing test) to determine whether a human is attempting to log into a website or an automated bot. Bots, which are a form of AI, rarely pass these text puzzles.

When someone asks generative AI to produce anything with text, such as a newspaper cover, the result invariably, but less often today, contains gibberish text. Now let’s take a look at the photo of McConnell, captured directly from the Washington Post story and zoomed in, but not enhanced. The final word of that story appears to be “Bovisae,” a nonexisting gibberish word.

The headline on the right side of the newspaper.

The real final word in the actual newspaper headline on that day was “showdown.” AI will say we as humans have a tendency to make letters out of pixels that aren’t really there. It will in fact make a strong case for that — for “human error.” I find that hard to believe.

The actual headline in the Post on the day in question.

A Reasonable Explanation?

An argument can be made that the photo may still be a real one. First of all, the Post had Hany Farid analyze the photo, and he is one of the world’s best known digital forensics experts. Farid is a highly credible expert who didn’t just look at any one aspect of the digital photo but, apparently, many: facial geometry, consistency of shadows, pixels that seemed out of place, etc.

Farid said the McConnell phot lacks sufficient detail to compare the headlines in the photo with the actual headline in the paper. To the naked eye, that seems to be untrue, but this is how ChatGPT explains it:

When you enlarge something that small, JPEG compression creates block artifacts, sharpening algorithms invent edges, Apple’s Photos app applies interpolation while zooming, our brains try to recognize letters that aren’t actually there (a phenomenon called pareidolia).

It’s a compelling argument, one that perhaps should have been included in the Post article. Then again, relying on AI to objectively prove its own “innocence” might be a case of allowing the fox to guard the henhouse.