Goldman Sachs: How to become an AI-native business

K-shaped economy in AI: some companies soar, others sink. Speed of decision-making matters most.

Author: Michael Kokin ·

Goldman Sachs explained how businesses can become AI-native. The funny thing is, the main advice isn't about technology at all.

It's called a K-shaped economy. Where some companies go up after a certain point, and others go down. Usually this theory is about coming out of a crisis. But Goldman Sachs applied it to business AI adoption.

What matters is speed of decision-making. Willingness to restructure processes now, not after the third pilot.

A simple example: one company moved support to AI six months ago. At first the tool worked so-so, but they refined the system, trained the team. Now they spend three times less on support and respond faster. Another company is waiting for a perfect ready-made solution out of the box. Implements nothing. Pays the old bills and loses time.

In short, if you're already AI-native — great, if you're trying and experimenting — also great, but if you're waiting for clear step-by-step instructions, you'll end up on the descending part of the graph.