A toddler sees a giraffe once. The next day, walking through a museum, the same child looks at a skeleton and immediately recognizes the animal again. No manual. No training cycle. No second explanation required.
AI is often discussed as a technology story, a policy headache or a race between continents. But if you step back, the most useful way to understand its trajectory is surprisingly traditional: the macro–meso–micro framework that economists have used for decades. It turns out to be an elegant map for a technology that is reshaping value creation from the planetary level down to individual workflows.
