Is This AI?
We've gotten so good at doubting that we're doubting the real things. Now it's starting to cost us,
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Photoshop made us question photos. Filters made us question beauty. Now AI is making us question almost everything.
Two nearly identical AI slop comments landed on a YouTube video that had nothing to do with AI, apparently posted by a bot. Then a real colleague texted asking whether a partner video was AI. It was not, and the date stamp predated video AI capable of that quality by years. Both accusations pointed at the same pattern: people now question content before they evaluate it, even from senders they know.
It came to a head on Father's Day. Ryan stepped into the kitchen during the UNC versus Oklahoma College World Series broadcast and heard a breaking-news chime announcing an urgent message from the President. The speech patterns were close enough to be almost believable. Then a QR code appeared in the corner and the President started asking viewers to send crypto. Ryan admits it took him 3 to 5 seconds to register the deepfake, alongside nearly 30,000 other people watching that stream. He teaches deepfake detection in his own AI course.
The trust backdrop is real. Nearly 7 out of 10 people now worry institutional leaders are deliberately misleading the public (Edelman, 2026), with the steepest declines in national government and major news organizations, and trust concentrating instead among coworkers, neighbors, and family. The circle of trust is getting smaller, and the effect is most pronounced among Gen Z and Millennials.
Ryan borrows two ideas from psychology to name what is happening. Epistemic vigilance is the constant subconscious calibration of how much to trust incoming information (Sperber et al., 2010). Source derogation is dismissing where something came from rather than engaging with what it said (Fransen et al., 2015). Put them together and you get the credibility hedge. No filter was a badge proving a photo was real. AI slop is the inverse badge, proving your skepticism is real. His concern is the point at which skepticism stops being wisdom and becomes a cop-out.
Nearly 7 out of 10 people now worry that institutional leaders are deliberately misleading the public, with trust concentrating among coworkers, neighbors, and family (Edelman, 2026). The circle of trust is shrinking.
The credibility hedge: calling something AI slop is often not a judgment about the content but self-protection. If it is AI, you called it. If it is not, it just felt off.
Epistemic vigilance is the constant calibration of whether a source is credible (Sperber et al., 2010). Source derogation is the lower-effort move of attacking where something came from instead of engaging with what it said (Fransen et al., 2015).
We have done this before. One study of more than 18,000 no filter posts found about 12 percent had actually used a filter (Santarossa et al., 2017). The suspicion was sometimes earned.
What cannot be replaced by AI is clear direction, clear vision, and clear leadership from one human being to another.
Plain-language definitions for the ideas in this episode. Structured for search and AI answers.
Ryan Vet's term for preemptively labeling content as AI-generated as a form of self-protection. It costs nothing to be right and nothing to be wrong, and it lets a person skip engaging with the substance entirely.
In this episode: The pattern Ryan names after two bot comments and one text from a real colleague.
The constant, often subconscious calibration of how much to trust the information coming at us, because we depend so heavily on what other people tell us (Sperber et al., 2010).
In this episode: One half of the mechanism behind the credibility hedge.
Dismissing a message by attacking where it came from rather than engaging with what it actually said (Fransen et al., 2015). It is the lower-effort response.
In this episode: The other half, and why AI slop is such an efficient dismissal.
Straight answers to the questions this essay raises. Open by default, structured for search and AI.
What is the credibility hedge? +
The credibility hedge is Ryan Vet's term for dismissing something as AI or fake to protect yourself rather than engaging with it. Drawing on epistemic vigilance, how we constantly calibrate whom to trust, and source derogation, attacking the source instead of the substance, he argues that calling something AI slop is often a badge of skepticism rather than a real judgment of the content.
What happened with the deepfake on Father's Day? +
While watching a college baseball stream with almost 30,000 other viewers, Ryan Vet's broadcast was hijacked by a deepfake of the President urging people to send crypto to a wallet. It took him three to five seconds to realize it was fake, even though he teaches audiences how to spot deepfakes. He uses the moment to show how convincing synthetic media has become.
Is distrust of content actually rising? +
Yes. According to the Edelman Trust Barometer, nearly 7 out of 10 people now worry that institutional leaders are deliberately misleading the public, with trust falling most for national government and major news while concentrating among coworkers, neighbors, and family. Ryan Vet notes the distrust is even more pronounced among Gen Z and Millennials.
Haven't we doubted reality before AI? +
Yes. Photoshop made us question photos and Instagram filters made us question beauty, which is why the hashtag no-filter became a badge of authenticity. One study of more than 18,000 no-filter posts found about 12% had actually used a filter. AI is now extending that same skepticism to almost everything.
What does Ryan Vet say leaders should do about eroding trust? +
Rebuild it through authenticity, conviction, and clear direction. He argues that in a moment of synthetic media and shrinking trust, what cannot be replaced by AI is clear vision and human leadership, one person serving another. His test for anything you create is simple: is it human?
Full show notes
A deepfake of the President hijacked a live stream that 30,000 people were watching. It took generational futurist Ryan Vet five seconds to realize it was fake. That five seconds is the whole problem.
On Father’s Day, a stream-jacking deepfake interrupted the College World Series broadcast Ryan Vet was watching with his family, complete with a breaking-news chime, the President’s voice, and a QR code asking viewers to send crypto. The unsettling part was not the scam. It was how convincing it was, and how the same suspicion is now aimed at everything real. In this episode of The Ryan Vet Show, generational futurist, USA TODAY bestselling author, and international keynote speaker Ryan Vet unpacks what he calls the credibility hedge: the reflex to dismiss the source instead of engaging with the substance, and what it costs us when skepticism stops being wisdom and starts becoming a cop-out.
Key Takeaways
On Father’s Day, a deepfake of the President stream-jacked a live College World Series broadcast in front of roughly 30,000 viewers. It took Ryan three to five seconds to know it was fake, and he teaches deepfake defense for a living.Trust is at a historic low. Nearly 7 in 10 people worry that institutional leaders are deliberately misleading the public, with the sharpest decline in national government and major news (Edelman Trust Barometer, 2026).The circle of trust is shrinking. Confidence is concentrating among the people closest to us, our coworkers, neighbors, and families, and pulling away from institutions.We have doubted reality before. Photoshop made us question photos. Instagram filters made us question beauty. One study of 18,000-plus “no filter” posts found about 12% had actually used a filter (Santarossa et al., 2017). Now AI makes us question almost everything.The credibility hedge: calling something “AI slop” often protects the skeptic more than it judges the content. “No filter” was a badge that proved a photo was real. “AI slop” is becoming the inverse badge that proves skepticism is real.Two forces from psychology drive it: epistemic vigilance, the constant calibration of who to trust (Sperber et al., 2010), and source derogation, attacking where something came from instead of what it actually said.What AI cannot replace is human direction. In one large organization, employees could recite the mission but not say where the company was going. Clear vision and clear leadership, one human to another, is what rebuilds trust.Research and Sources Cited
Edelman (2026), 2026 Edelman Trust Barometer: Trust amid insularitySperber, Clement, Heintz, Mascaro, Mercier, Origgi, and Wilson (2010) on epistemic vigilance, in Mind and LanguageSantarossa, Coyne, and Woodruff (2017) on #nofilter images that actually used a filterFransen, Smit, and Verlegh (2015) on strategies and motives for resistance to persuasion (source derogation)The Ritz-Carlton motto: “We are ladies and gentlemen serving ladies and gentlemen”Ryan’s AI course, From Human Hesitation to AI Acceleration, and his related essay The Velocity Gap: Gen Z’s Contradiction with AIConnect with Ryan Vet
Read the full Collide essay: https://ryanvet.com/collide/is-this-ai/Subscribe to the Collide newsletter: https://ryanvet.com/collideLearn more and book Ryan to speak: https://ryanvet.comSend us Fan Mail
About Ryan VetRyan Vet is a USA TODAY bestselling author, futurist, and international keynote speaker whose insights on generations, culture, and the future of work have been featured in Forbes, Financial Times, ABC, NBC, and CBS. His research helps leaders understand emerging generational patterns and anticipate societal shifts before they fully unfold.
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