It shows two different things.

The blue area represents everything that AI is already capable of doing today.

The red area shows how people are actually using AI at work.

And the gap between the two is enormous.

This difference is important because it reveals something that many people still haven't understood about the technological transition. Capability is not adoption.

For example:

In areas like programming, a large part of the tasks are already technically within the reach of AI. The same is beginning to appear in financial analysis, customer support, and administrative functions.

But this doesn't mean that these functions have disappeared.

In practice, what is happening is much more gradual.

Unemployment in the most exposed professions has practically not changed. What has changed is something else.

Companies have started hiring less in these areas.

In the US, hiring for young people between 22 and 25 years old in roles most exposed to AI has already fallen by about 14%.

In other words, the change is not happening through mass layoffs.

It's happening through a reduction in the entry point into the job market.

Another interesting finding from the study: today, about 49% of jobs in the US already have at least a quarter of their tasks within the reach of AI.

Just a year ago, that number was 36%.

The technology has already arrived, and this will have a significant impact on the job market and economic activity.