October 16, 2025

Where you shouldn't use AI

The real AI question: what will you keep human as it advances?
Daan van Rossum
By
Daan van Rossum
Founder & CEO, FlexOS
Presented by

In Friday’s ​Executive AI Boot Camp​, one leader captured the paradox:

“If I'm taking notes actively, I'm more engaged, and I retain what's going on. So while I understand the power of AI, I'm reluctant to let it take notes for me, because then I feel like I can tune out.”

The tension between what’s possible and what’s a smart choice sits at the core of how AI is reshaping work.

The real debate is not whether AI enters our work, it already has, but how we decide where humans stop, where machines begin, and how we keep meaning in between.

With AI capabilities increasing week over week, the need for us as leaders to decide what humans must keep has never been higher.

So how?

Between Acceleration and Agency

It helps to know the landscape.

On one end are the accelerationists, who believe that AI should be pushed forward as fast as possible. They argue that AI progress brings productivity, scientific breakthroughs, and higher well-being.

Slowing down is seen as either pointless (since global competition means someone else will do it anyway) or harmful (since delays might stall potential cures, solutions, or prosperity).

On the other end are the decelerationists. They see rapid AI progress as reckless, with risks ranging from mass unemployment and social destabilization to catastrophic outcomes if powerful systems escape our control.

In their view, it’s better to slow down, regulate, and align AI before it races ahead of our ability to govern it. To them, speed is not neutral as it compounds unknowns, amplifies inequalities, and risks irreversible harm.

AI Worldviews: Similarities & Differences | by Adam Thierer | Medium

But most of us live in neither extreme.

I believe AI development cannot be slowed as companies will push forward and governments can’t or won’t block their momentum. And I’m thankful for those making an effort to do what we can to guide AI at the highest levels.

But my focus is always about the choices WE can, and need to, make for ourselves. For every individual to understand the significance of the changes that are underway and have a sense of agency (and urgency) to take control.

Because AI’s capabilities are already beyond our comprehension.

The question is not whether we stop it. The question is whether we keep our hands on the wheel as it accelerates.

Seven Principles for Adaptive Agency

If you’re with me, then here are some of the principles I apply to decide where and how AI integrates into my work:

1. Focus on Desirability, Not Just Capability

AI dazzles because of what it can do. But that’s not the real question. The real question is: should it do it?

In last Thursday’s ​Lead with AI PRO​ session on ​Identity in the Age of AI​, “Happiness at Work” author ​Tracy Brower​ grounded the debate in sociology: “AI is all about technology, but I think it’s all about how we work and how it affects our work.”

She recounted a conversation with a CHRO who had engineers coming to her, protesting AI:

“They were bringing AI in really, really significantly. And she had these engineers come to her and say, Stop! We went to school for engineering. We love doing engineering. We don't just want to hit a button. Let's bring AI in, but let’s not have it take over all of our favorite work.”

Efficiency is seductive, and I truly get the focus on productivity, but meaning isn’t fungible. AI should be here to significantly increase our ​Impact Per Hour​.

Offloading the wrong tasks erodes that sense of identity and can even shrink joy, as BCG’s ​Debbie Lovich​ also told me in ​our conversation​ on AI and Joy last year.

Do: Before delegating, ask yourself: Does this task give me meaning, growth, or connection? If yes, hold on to it.

Discuss: With your team, make a list of ​tasks​ AI could do. Then ask: Which ones give us pride, energy, or a sense of craft? Keep those human by design.

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2. Guard Cognitive Sovereignty

I wrote before about “​Preventing Cognitive Decline in Knowledge Work​.” In short, multiple studies show that using AI can create a sort of atrophy.

To avoid “​falling asleep at the wheel​”, as one such study called it, we need to stay involved in critical workflows.

FlexOS futurist ​Antony Slumbers​ framed the core paradox perfectly in an ​article on cognitive sovereignty​:

“Your cognitive capabilities (which is what you are paid for) are either going to atrophy or be augmented. And which it is is entirely down to you.”

Do: Don’t open a prompt before you think. Come up with ideas, draft outlines, and list your arguments. Then use AI as a mirror, not a crutch. Let it ask you questions and critique its answers.

Discuss: Run a team exercise: brainstorm solutions first, then feed them into AI. Let people see the difference when humans stay in the lead.

3. Design for Learning, Not Just Output

Another paradox: AI increases efficiency by removing friction. But friction is how people grow.

Whether it’s learning a language or a new skill, the initial struggle is what builds capability. If AI automates every task, like writing content, building slides, and drafting reports, you limit the ability for mastery to grow.

“Erosion of critical judgement, memory atrophy, loss of problem-solving capability, reduced divergent thinking,” in Antony’s words.

For the same reason, it’s good that some CEOs are doubling down on ​hiring entry-level workers​. Someone needs to nurture the next generation of talent.

Do: Pick one task where AI could make you faster and don’t offload it. Write the memo, make the deck, or analyze the numbers yourself.

Discuss: Remind your team that entry-level work matters. Keep them in the loop to protect the learning ladder.

4. Double Down on Human Skills

For years, STEM skills dominated corporate strategy. But with AI leveling all of us up on these skills, human skills are becoming more important than ever.

Tracy emphasized the need to double down on our human skills:

“AI is not going to go to lunch with the client and have that great elbow nudge and hear about the new project opportunity, right? Or hear about the nuances of the relationships in the organization.”

The scarcity is in the subtle human arts and skills that machines cannot reproduce. Especially when “​human is the new luxury​.”

Just look at what Robert Capps​ wrote in The New York Times: among ​22 new jobs AI could create​, we could see a focus on Trust, Integration, and Taste. Very human indeed.

Do: Choose one relational or creative skill to practice this week. Lead a tough conversation, pitch an idea, or pursue an opportunity. Don’t let AI crowd it out.

Discuss: Ask your team: If AI gave us two free hours each day, how would we use it for work that machines can’t touch? Write those answers down and protect them.

5. Stay in the Loop, Commit to Transparency and Governance

Without discipline, AI floods the workplace with “​workslop​” that creates a downstream rework tax.

Thoughtless AI use also hurts your credibility: ​half of the people​ viewed those who sent workslop as less creative, capable, and reliable.

Autonomy and trust come from clarity. People need to know where AI is used, what decisions it makes, and who is accountable.

Ethics are more important than ever. A black box is no longer an option.

Do: Write down your principles for AI use. Share them with your team. Make explicit where humans must stay in the loop.

Discuss: Where do we use AI? Where not? And what happens when AI gets it wrong: who decides, who takes responsibility?

The Bottom Line: You + AI

AI is moving too fast for anyone to stop. But the choice remains: do we drift into disengagement, or do we adapt with agency?

Going back to our participant’s dilemma: should AI take the notes?

Yes, AI can capture the transcript, draft actions, and even update project boards. But by this framework, the wiser move is balance.

  • Let AI do the full transcript.
  • But still jot your own highlights as reflection builds your understanding and makes the conversation more meaningful.
  • And remember that you are not in that meeting just to absorb information. If that were the case, the notes would suffice. You are there to build consensus, test ideas, and inspire alignment. Those are uniquely human roles.

The future of work will be shaped not by what AI can do, but by what we decide to keep human.

What do you think? Reply and discuss.

Otherwise, until next week,

- ​Daan

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