Dario Amodei on the moment he saw where this was going: “GPT-2 was the first real test of the scaling laws hypothesis. I looked at it and said, my God, you scale this thing up another factor of a million, and it’ll be better than humans at everything.” GPT-2 came out in 2019. It could write a decent paragraph and lose the plot by the third one. Most people saw a party trick. He saw a curve. That’s the lesson. The signal showed up years before the results did. The people who built what came next weren’t the ones with the best demo. They were the ones who asked what happens if the trend holds. This is the defining economic and scientific moment of the modern age. We don’t know it yet. For anyone running a business, the question isn’t whether today’s AI is good enough. It’s which curve you’re betting on, and what your org looks like if it keeps bending the same way. Three moves worth making now: Judge tools by trajectory, not today’s output. Build workflows that get better automatically when the models do. Stop waiting for “ready.” By the time it looks ready, the head start is gone. What curve in your industry is everyone underestimating?