AI Education and Human, Not Productivity
Productivity is what we measured before AI showed up. Outputs per hour. Reports per quarter. Slides per Tuesday. AI is already better than most of us at all of that. The work that is left is the human work, and it is harder to rank. This post is about why "AI Education and Productivity" is the wrong category for 2027, and what should replace it.
I made the top 10 in Switzerland for AI Education and Productivity on LinkedIn. And I want the category renamed.
Number 9 overall. Number 2 among women. Thank you, Favikon, for the recognition.
Now here is my wish for the 2027 list: replace the word "productivity" with the word "human".
AI Education and Human. That is the category I actually want to be in.
Productivity is what we measured before AI showed up. Outputs per hour. Reports per quarter. Slides per Tuesday. AI is already better than most of us at all of that.
Here is what AI still cannot do.
→ Sit with someone who has just realised their job description is gone.
→ Notice that the quiet person in the meeting actually has the answer.
→ Tell a CEO their strategy is wishful thinking and have them thank you for it.
That is the work I want a ranking for next year.
Productivity, or human. Which word would you prefer?
PS: Follow them all, super Swiss AI thought leaders.
Want to think through what AI means for your own leadership? My Private AI Advisory is here.
Why "productivity" is the wrong frame for AI leadership
In Private AI Advisory work with senior teams, the productivity frame quietly causes more confusion than any other. It promises measurable gains. It delivers individual speedups. Then it stalls at the team level, because productivity was never the leadership problem in the first place.
Three observations from coaching senior teams through AI adoption.
→ Individual productivity gains are real and they stay individual. Teams do not become faster just because individuals are. The collaboration around AI is the bottleneck, not the model.
→ The work that is left for humans is the hardest to rank. Holding the room when someone's job description disappears. Spotting the quiet person who already has the answer. Telling a CEO their strategy is wishful thinking and having them thank you for it. None of that fits on a productivity dashboard.
→ The leaders who win in the AI era are the ones investing in human judgment, not the ones optimising away the moments where judgment is built. That is a different skill from AI productivity. It needs a different word.
Recognition from Favikon is a useful prompt for me as a coach. It tells me where the conversation is. It also tells me where it needs to move next.
If you want a practical tool for the human side of this conversation, my free What AI Can't Hear Pack includes seven listening behaviours from my TEDx talk and ten team questions you can use to talk about AI without losing the human work. Leave your email here and I will send it over: https://www.thechangerepublic.com/free-resources