AI decided I was five different people.
Twenty-eight years of work. A $2B acquisition. A hundred-person org. And when AI systems were asked who I was, they split my career into disconnected pieces and merged the rest with strangers who share my name.
Nothing was missing from my resume. My evidence simply wasn't structured in a way machines could verify — so they filled the gaps with assumptions. My 28-year career was invisible, and for two years all of my new work was suppressed.
Recruiters stopped calling. Prospects ghosted me in the middle of good conversations, because a search had created doubt they never mentioned.
You spend a career building a legacy. I became an executive without a degree, which meant every step of mine had to be proven twice. That record is the thing I actually own.
My offline credibility was essentially stolen online, because AI couldn't connect the dots.
I'm a systems thinker, so I treated it as a systems problem. I rebuilt the signals, applied them to myself, and documented all of it. The suppressed work came back.
Identity Islands — five careers AI couldn't connect
I documented the whole thing, including the parts that hurt.
From Fragmented Visibility to Verified Credibility
What broke, what it cost me, and the diagrams that make it make sense. Includes how two years of suppressed work came back.
Read the case study →Mistaken Identity in AI Search
Why AI merges people who share a name, explained with metaphors instead of jargon — and what actually fixes it.
Read the case study →The whole thing, told out loud.
The write-ups above are the documentation. This is the version where I walk through what actually happened — what it cost me, what I tried first, and what finally worked.
If you recognize any of it in your own situation, that recognition is the useful part.