What people think generative AI productivity is:
Replacing junior analysts Automating repetitive tasks Reducing headcount Making existing work faster Cutting operational costs
What it actually is:
Search and summary at a scale humans cannot match Scenario analysis comparing historical events that was never feasible before Reading academic papers and extracting tradable strategies Processing unstructured data without armies of labelers Producing ten million rows of analysis where you once produced one million
A cost-cutting mindset won’t drive economic growth.
A volume-expansion mindset will.
Generative AI is nothing more than producing faster, more automated, and accurate information-based decisions.
But “nothing more” is actually everything.
