The Worst-Case Scenario for AI: The Cost of Creating Superintelligence

The Worst-Case Scenario for AI
The Cost of Creating Superintelligence

What happens when we build something smarter than ourselves—and can’t control it?

This book investigates the real risks of artificial intelligence from the inside out: not science fiction, not hype, but the grounded concerns of AI researchers, scientists, and ethicists who believe the stakes are far higher than the public conversation suggests.

We’ve entered an era where machines can write code, pass exams, plan strategies, and learn faster than we can. But raw capability is only part of the danger. The deeper threat lies in systems that act with power but without understanding—machines that don’t hate us, but don’t care if we survive.

Drawing on current research, historical parallels, expert warnings, and coordination failures, The Worst-Case Scenario for AI lays out a clear-eyed account of where this is heading—and why some experts estimate a 10–30% chance of catastrophe if we get it wrong.

Inside you'll learn:

• Why recursive self-improvement could take AI beyond our influence

• How goal misalignment and indifference—not malice—might be fatal

• What global coordination failures could make safe AI harder than unsafe AI

• Why alignment research still lags behind capability development

• What scientists, CEOs, and policy leaders are afraid to say out loud