Artificial intelligence is rapidly becoming a gatekeeper for information, reputation and professional opportunity. But what happens when AI confuses one person with another, overlooks decades of experience, assigns someone to the wrong professional category or builds a biography from incomplete and conflicting sources?
A new book by Tamara Patzer, PhD, examines those failures and gives them a name.
AI Collision: 32 Ways AI Is Getting You Wrong in the New Selection Economy is now available in paperback from Blue Ocean Authority Publishing, an imprint of Daily Success Media Network.
The book identifies 32 distinct “AI collisions” that can affect individuals, authors, executives, professionals, brands and organizations. These include identity confusion, outdated biographies, inaccessible content, missing transcripts, inconsistent professional descriptions, lost attribution, category errors, geographic invisibility and what Patzer calls “unauthorized assembly”—when an AI system combines fragments from multiple sources and presents the result as fact.
“AI does not simply look people up,” Patzer said. “It assembles an answer from the information it can find, interpret and trust. When that information is incomplete, inconsistent or connected to the wrong person, the result can sound confident while being completely wrong.”
Patzer describes this emerging challenge as a problem of AI identity accuracy: whether the person, company or expert returned by an AI system is accurately defined, differentiated and supported by verifiable evidence.
A Practical Diagnostic Guide for the AI Era
Each chapter of AI Collision explains a specific failure pattern and includes a diagnostic prompt readers can use with platforms such as ChatGPT, Gemini, Claude and other artificial intelligence systems.
Readers are encouraged to examine how AI currently describes them, what sources appear to influence the response and where important information may be missing or misinterpreted.
Among the collisions explored in the book are:
- Identity Collision: when AI confuses one person with someone else.
- AI Identity Hijack: when gaps in a person’s record are filled with another person’s biography.
- Ghost Collision: when AI recognizes an outdated version of someone but not their current work.
- Semantic Hijack: when a proprietary term is associated with an unrelated meaning.
- Transcript Gap: when valuable expertise exists in audio or video but was never converted into searchable text.
- Signal Collision: when inconsistent titles, biographies and descriptions reduce confidence.
- Corporate Erasure: when a person’s achievements are credited primarily to a former employer or organization.
- Geographic Collision: when a recognized local expert remains invisible in location-based AI answers.
- The Authority Void: when legitimate proof exists but was never published or connected to the person’s public record.
The book concludes with corrective strategies, a 30-day authority-foundation plan, a diagnostic prompt library and a self-assessment designed to help readers identify their highest-priority risks.
The New Selection Economy
Patzer argues that AI has changed how experts, businesses and information are selected.
Potential clients, journalists, event organizers, employers and consumers increasingly ask AI systems whom to trust, whom to hire and which sources deserve attention. In this environment, professional visibility alone may no longer be enough.
“We have entered a selection economy in which AI systems help determine who is presented, who is recommended and who is left out,” Patzer said. “The goal is not to manipulate artificial intelligence. The goal is to give it an accurate, consistent and verifiable record from which to work.”
AI Collision is written for professionals, business owners, authors, speakers, consultants, executives, public-relations practitioners and anyone concerned about how artificial intelligence represents their identity, expertise or organization.
Book Information
Title: AI Collision: 32 Ways AI Is Getting You Wrong in the New Selection Economy
Author: Tamara Patzer, PhD
Publisher: Blue Ocean Authority Publishing, an imprint of Daily Success Media Network
Publication date: August 1, 2026
ISBN: 979-8-950748-02-8
Library of Congress Control Number: 2026919787
Format: Paperback
Availability: Available now
Website: BlueOceanAuthorityPublishing.com
About Tamara Patzer, PhD
Tamara Patzer, PhD, is an author, publisher, media strategist and founder of the AI Suggestibility™ framework. Her work focuses on authority, publishing, discoverability and the systems that influence how people, experts and organizations are represented and selected by artificial intelligence.
Through Daily Success Media Network and Blue Ocean Authority Publishing, Patzer helps experts transform their knowledge into books, media assets and machine-readable authority records designed for the emerging AI-driven information environment.