100 – 10 – 1

100 – 10 – 1

AI advances at 100. People adapt at 10. The Fortune 500 adopts at 1.

That arithmetic should terrify anyone running a large company, because the Fortune 500 has never been as durable as its name suggests. Of the original 1955 list, 88% are gone: bankrupt, acquired, or shrunk into irrelevance. Average tenure on the S&P 500 has collapsed 33 years in 1965 to roughly 15 years today. At the current churn rate, half will be replaced within the next decade. Every prior technology wave (e.g., Client/Server, the Internet, Digital) accelerated that turnover. AI will accelerate it further, but at a speed that makes the prior waves look like dress rehearsals.

The reason is that AI doesn't just give companies new tools. It gives them a new workforce, one that changes the structure of knowledge work itself. And that change doesn't arrive uniformly. It follows a gradient I call the "melting point" framework: every function, from content production to strategic leadership, has its own threshold at which AI makes the existing way of doing the work economically indefensible.

The playbook for surviving this? Work outside-in first; automate the third-party vendors whose invoices are already in your budget, self-fund the transition, and build institutional AI muscle on someone else's payroll. Then bottom-up; rewire your own knowledge functions starting where the melting points are lowest (think marketing, HR, finance, legal). Then, and only then, go after COGS: the core of what you deliver to customers.

I lay out the full framework, including a ranked melting-point table for eleven enterprise functions, in my new essay: Your Company Is Melting. Because every large company needs to materially boost its clock-speed with AI.