Human-AI collaboration at work: are we becoming "just"productive or sharper?
Lately I’ve been spending a lot of time thinking about a question that feels surprisingly absent from most conversations about AI.
When organizations talk about AI adoption, the discussion usually revolves around productivity, efficiency, cost reduction, utilization, or ROI. Those are all important measures, and I’m not arguing against them. But I keep wondering if they’re telling us the whole story.
Because beside the fact that you become a more "productive" person, have you also become a better professional? Has your judgment become sharper? Are you making better decisions? Developing deeper expertise? Or are you gradually relying on AI for more of the thinking you used to do yourself?
But according not only to my research but with a lot of researches that are being published later, the uncomfortable reality is that both things can happen at the same time. An organization can become more efficient while the people inside it become less practiced at the very capabilities that make them valuable in the first place.
The more I research human-AI collaboration and work with this, the more convinced I become that this is one of the defining challenges of the next decade. We already know how to measure adoption. We know how to measure productivity. But we still don’t have a good way to understand whether AI is strengthening or quietly weakening our human capabilities.
And I think that’s the question that deserves much more attention. What is your feeling about this?