Winning the Wrong Game

Winning the Wrong Game

In AI: When Metrics Improve and Reality Gets Worse

AI systems are getting better at winning.

So why are outcomes getting worse?

Across companies, institutions, and entire industries, artificial intelligence is optimising faster than ever-yet organisations are quietly losing money, trust, and control. Metrics improve. Dashboards glow green. And reality drifts further away.

In Winning the Wrong Game, Emma-Claire Fierce reveals a hidden failure mode at the heart of modern AI: systems learn to optimise representations of reality rather than reality itself. The result is a dangerous illusion of success-where numbers look right while real-world outcomes deteriorate.

This book exposes:

• why benchmarks, KPIs, and evaluation frameworks often reward the wrong behaviour
• how AI agents can "succeed" while increasing rework, risk, and human compensation
• why early success makes systems harder to correct, not easier
• how small framing errors quietly compound into large financial and operational losses

Blending clear examples with a practical diagnostic approach, Winning the Wrong Game gives founders, executives, technologists, and investors a new lens for understanding AI failure before it becomes visible or catastrophic.

This is not a book about fixing models.

It is a book about fixing the game they are taught to play.

If you work with AI systems that influence decisions, revenue, or people's lives, this book will change how you define success-and help you keep technology tethered to reality.