When the Machines Go Quiet

What If The AI Bubble Burst And How We’d Adapt

What if the AI boom didn’t just cool off but broke?

When The Machines Go Quiet imagines a grounded scenario where the AI bubble bursts, tracing the ripple effects from chip foundries to startups, from policy makers to everyday users. This is not a prediction, it’s a practical “what if” guide inspired by how past bubbles played out and how today’s AI economy is structured.

You’ll explore how valuation shocks could cascade through GPUs, data centers, cloud suppliers, foundation model labs, and app startups. How workers and investors might respond, and how society could rebuild with more durable, value-led adoption.

For readers of technology disruption, future of work, and economic cycles, this book blends narrative scenarios with insights from dot-com history, hype-cycle dynamics, and today’s heated debate over whether AI is in a bubble. If you care about AI trends, risk management, and resilient strategy, this roadmap helps you stress-test your career, company, and portfolio without doom, and without the hype.