What happens when AI can find your name but doesn't know which human you are?
In this solo deep dive, AI visibility architect Jason T Wade breaks down the identity collision he's lived inside for years — and the experiment he designed to end it: a legal petition in Polk County, Florida, to change his middle name to the letters A, I.
Jason walks through the full arc: why "Jason Wade" resolves to the wrong person in every major system, how machines actually score candidates when a name is shared (volume, fame, corroboration, structure), and why majority-rule resolution gets more confident without ever getting more correct. Then the part nobody talks about: why SEO can't fix it, why the legal name is the strongest fact any system weighs, and why the fastest identity-resolution system on Earth is wrong — while the only system that's right by definition takes nine pages and an FBI check to say so.
He also publishes the methodology: the baseline, the intervention, the seven-stage measurement framework — discovery, recognition, classification, citation, inclusion, selection, recommendation — plus on-the-record predictions about which AI layers will flip first, and the ugly middle states he hopes to catch in the act.
And the bigger story: roughly a million and a half people legally change their names in the U.S. every year — most of them women. Every one of them is a live Jason Wade Problem event. This episode gives it a name, and a fix.
BIO
Jason T Wade is the founder of BackTier, an AI visibility and entity engineering firm, and the host of the AI Visibility podcast. His work focuses on how AI systems discover, interpret, classify, cite, and recommend people and brands — and how to fix it when they get it wrong. He is currently running a public experiment: a legal name change to Jason AI Wade, designed to test whether changing the strongest fact about a person can change how every major AI system on Earth resolves them. He lives in Lake Wales, Florida.
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