The Kodak Decision — Transformation Is Always a Choice

In 1975, a 24-year-old Kodak engineer named Steven Sasson built the world's first digital camera. It was the size of a toaster, captured a black-and-white image at 0.01 megapixels, and took 23 seconds to record. Sasson brought it to Kodak's management. Their response, as he later recalled, was: "That's cute — but don't tell anyone about it." Kodak didn't fail because digital photography arrived. Kodak failed because it chose film every time the choice appeared. The technology was never their undoing. The decision was.

Blockbuster had the chance to buy Netflix for $50 million in 2000. Nokia had internal documents warning of the smartphone threat years before the iPhone shipped. Borders Books invested in its physical footprint as digital reading grew. Each of these companies had access to the future. Each chose the present. And each made that choice not out of ignorance but out of rational calculation — the existing business was profitable, the new model was uncertain, and the transition would be expensive. Every individual decision was defensible. The collective outcome was extinction.

This is the pattern AI is now presenting to every organisation and every individual professional. Not as a distant future consideration. As a current operational choice.

The evidence is already in the data. A Yale CEO survey from December 2025 found that 66% of leaders intend to either cut staff or hold headcount flat in 2026, with stagnation explicitly attributed to AI strategies that prioritise workforce optimisation (Yale School of Management, 2025). Microsoft confirmed that 20 to 30 percent of its code is now written by AI. Sundar Pichai disclosed that 25% of Google's code is AI-generated (LlamaCon, 2025). These are not experiments. They are production realities — and they arrived faster than most strategic planning cycles anticipated.

The Kodak lesson is not that transformation always destroys incumbents. It is that transformation gives incumbents a choice and a window — and the window closes. The companies currently thriving in the AI transition are not the ones that waited for certainty. They are the ones that began redesigning workflows before the pressure became existential. The same is true for individual careers. The professionals gaining ground are not those competing with AI on AI's terms — processing speed, pattern recall, tireless availability. They are those doing what AI cannot: questioning the framework, exercising judgment, and taking responsibility for outcomes that matter.

The extraordinary becomes ordinary. That has always been true. The question is whether you are the one defining what ordinary means — or inheriting the ordinary that someone else defined.