The AI Inversion: Why Everything You Know About Building Products Is About to Flip

Price: $35.99
(as of Feb 24, 2026 01:43:17 UTC – Details)


For twenty years, the constraint was building. AI just removed it. What’s left is harder.
When AI can generate code, designs, prototypes, and specifications at near-zero cost, what happens to the organizations that were built around the assumption that building was expensive?
Everything inverts.
The sprints, the specs, the prioritization rituals, the headcount battles — they were insurance policies against scarcity. We’re not in scarcity anymore. And most product organizations are still paying premiums on risks that no longer exist.
The AI Inversion is a practical guide for product leaders navigating the biggest shift since the internet: the moment when “Can we build it?” stops being the hard question — and “Should we build it?” becomes the only one that matters.What you’ll find inside:Why your development process is an insurance policy — and why most of those premiums just became irrational (Chapter 4)The three-layer framework that redefines who your product’s “user” actually is — and why AI agents, not humans, are your new primary user (Chapter 7)The difference between a tool and an outcome system — “A tool waits for a user. An outcome system works whether anyone is watching or not.” (Chapter 8)Why “our data is our moat” is one of the most dangerous claims in business — and what actually creates defensibility when anyone can build anything (Chapter 11)The parallel operating model for building the future without destroying today — and why the real enemy isn’t resistance, it’s absorption (Chapter 12)Six comfortable lies product organizations tell themselves — and the diagnostic questions that cut through them (Chapter 14)This book is different because the author is different.Brandon Taylor isn’t an AI researcher making predictions or a consultant selling frameworks. He’s a VP of Product running a $180M+ P&L in healthcare technology, writing from the middle of the transformation — not the finish line. Every insight comes from doing the work: shipping AI-native products, restructuring real teams, losing real deals, and learning what actually changes when production becomes free.
While the examples draw from healthcare — where the stakes include human lives and outcomes like hospital readmissions — every chapter explicitly bridges to financial services, education, supply chain, enterprise software, and any industry where AI is rewriting the rules.
The window to adapt is roughly eighteen months. Not because the technology will stop evolving — but because the organizations that start building their judgment, their feedback loops, and their learning infrastructure now will compound advantages that latecomers can’t close. The gap between early movers and everyone else isn’t widening linearly. It’s compounding.
“The question isn’t whether AI will transform how products get built. It already has. The question is whether you’ll be the one deciding what gets built — or whether that decision will be made for you.”
For product managers, VPs of Product, CTOs, GMs, and anyone responsible for how software gets built and delivered.
ASIN ‏ : ‎ B0GMK99H14
Publisher ‏ : ‎ Independently published
Publication date ‏ : ‎ February 7, 2026
Language ‏ : ‎ English
Print length ‏ : ‎ 245 pages
ISBN-13 ‏ : ‎ 979-8247225560
Item Weight ‏ : ‎ 15.4 ounces
Dimensions ‏ : ‎ 6.24 x 0.77 x 9.24 inches
Best Sellers Rank: #1,018,813 in Books (See Top 100 in Books) #750 in Computers & Technology Industry #4,429 in Business & Finance