Why Every Tech Hype Cycle Follows the Same Pattern, including AI
The Promise & Risk framework introduced. AI is repeating the same pattern that played out with the internet and cloud — and that history is the most useful lens we have.
The Promise
- A consistent framework for evaluating any AI tool or claim
- Honest coverage that doesn't oversell or underestimate
- Twenty-five years of cybersecurity context applied to every topic
The Risk
- AI coverage today is dominated by hype and fear in equal measure
- Business leaders are making decisions without the vocabulary they need
- Most channels pick a side; nuance is the casualty
Two technologies, same pattern
Every major technology I have watched arrive in the last twenty-five years has played out the same way. The promises come first. The genuine breakthroughs follow. Then, quietly, the risks show up — and by the time most people notice, they are already living with the consequences. This is not a new pattern. It is the pattern.
The internet promised universal knowledge, global community, and frictionless commerce. A lot of that was delivered. The same infrastructure also gave us mass surveillance, misinformation at scale, an attention economy built to keep you angry, and cybercrime that now costs trillions a year.
Cloud computing followed the same arc. Scalability on demand, lower costs, flexibility, security in the hands of the biggest companies in the world — genuinely transformative. Then came vendor lock-in, budgets blown by thirty percent, and breaches that scale with the data. The promises were real. The risks were just as real. The leaders who got blindsided in both cycles missed not because the warnings were absent, but because they only listened to the upside.
Why this matters for AI
AI is the third wave. The breakthroughs are genuine, and many of the promises will land. But if the last two waves are any guide, the risks will arrive on a delay, they will not announce themselves, and they will not be the risks the early discourse focused on.
That is the discipline this channel is built around. Not “is AI good or bad” — that question collapses too fast. Both sides, every episode, every time. The leaders who get this decade right will not be the ones cheering loudest at the peak. They will be the ones who already learned, from the last two cycles, that the trade-off is the whole story.