An EY Global Vice Chair has a message for anyone worried about AI taking over their job: the real story is not what AI can do, but what it can't. The argument is simple. As AI gets more capable, the market starts paying more for the skills AI cannot copy.
The writer behind this view has spent two decades inside a professional services firm where human judgment sits at the center of the business. Clients do not come only for analysis. They come for experience, insight, and perspective — the things that help them handle uncertainty and make better decisions.
Why Human Judgment Still Wins in the AI Era
That same skill — judgment — is now being pushed into every job. It does not matter whether the title says analyst, technician, or machine operator. The pressure is the same across the board.
This is the paradox the EY Global Vice Chair points to. The better AI performs, the more valuable the human side becomes. In other words, the sought-after skills are intrinsically human. It all comes down to what AI can't do.
The 40% Productivity Gap Companies Are Missing
There is a hard business cost here too. While investments in AI keep rising, companies are still missing out on up to 40% of AI productivity gains. The reason is not the technology. It is gaps in talent investment.
Part of the problem sits in how companies train people. Many training programs focus on technical AI skills. That leaves the human skills — judgment, insight, perspective — underdeveloped, even though those are the skills the market is rewarding.
- AI spending is going up, but the returns are not keeping pace.
- Up to 40% of AI productivity gains are being lost.
- The gap is tied to talent investment, not the tools themselves.
- Training tends to lean technical, missing the human skills that matter most.
Our Take: The AI Race Is Really a Talent Race
In our view, this is the most useful framing of the AI debate right now. Most companies are asking "What can AI do for us?" The better question is "What can our people do that AI can't?"
To put it plainly, the 40% figure should worry every business leader. It means the money is being spent, but the results are leaking out through a talent gap. Buying more AI tools will not fix that. Training people will.
The EY Global Vice Chair's point lands because it comes from inside the business model, not from outside commentary. Professional services run on judgment. If AI makes judgment more valuable there, it will do the same in other industries.
For readers, the takeaway is direct. If you are an analyst, technician, or machine operator, your technical skills alone will not protect your job. Your ability to think, judge, and handle uncertainty will. And for employers, the message is just as clear: the AI investment is only half the job. The other half is investing in the people who use it.
Companies that treat AI as a people project, not just a technology project, will capture the gains others are losing. That is the paradox turned into an advantage.
