Questions and answers
FAQ
What readers, hosts, and decision-makers usually want to know first
Is this book anti-AI?
No. It is anti-confusion.
The book is not an argument against AI. It is an argument against mistaking enthusiasm, procurement, or presentation quality for strategy.
Who is this book for?
It is written for founders, operators, product leaders, engineering leaders, boards, and investors who need a clearer way to think about AI decisions before those decisions become expensive.
Is it a technical book?
It is technically informed, but it is not written only for engineers.
The goal is to help decision-makers ask better questions about workflow, cost, readiness, ownership, and operating burden.
Does it tell leaders not to buy GPUs?
No. It tells leaders not to start there by reflex.
Sometimes owning infrastructure is the right move. Sometimes it creates overhead that never returns leverage. The book is about knowing the difference.
What problems does this help prevent?
It helps leaders avoid:
- buying capacity before the workflow is clear
- treating demos as operating plans
- underestimating support and governance burden
- confusing architectural seriousness with business readiness
- discovering real cost only after ambition has already been promised
Can this work for enterprise audiences?
Yes. The ideas apply particularly well where complexity, governance, risk, cost, and production consequences are meaningful.
Is this useful for investors and boards?
Yes. It gives non-operators a sharper way to test whether an AI plan is real, coherent, and economically grounded.
How do I contact Matthew for speaking or media?
Visit Contact for speaking, media, and advisory requests.
Strategic invitation
Bring this conversation to your team, board, or audience before costly AI decisions lock in.
Use the book, media page, and press kit to anchor practical discussion in workflow, economics, and execution reality.