The End of the Exponential?

Why AI progress is becoming a problem of deployment, not just capability Photo by Taylor Vick on Unsplash It is the question circulating through data centers and boardrooms from Palo Alto to Shenzhen, and one that industry leaders such as Anthropic CEO Dario Amodei keep being asked in public: are we reaching the end of exponential growth in AI progress? The phrase is easy to misread. The point is not to make a narrow mathematical claim about scaling curves, but to name the broader period in which progress seemed to compound rapidly as compute, data, and capital were brought to bear.