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Kitty's avatar

Love your point, and the reassurance it provides. However (un)fortunately (depending on who you ask) we still have some time to figure it out. Our fear of AI taking over all of our lives, might be inevitable in the end, but we're not there yet.

May I recommend to follow 'Wayfinder' by the fabulous Ezra Eeman (Chief Innovation Officer of Dutch NPO)? His latest excellent edition about the fallibility of current AI systems (#116 - An Inconvenient Truth

https://www.linkedin.com/pulse/116-inconvenient-truth-ezra-eeman-5ktie?utm_source=share&utm_medium=member_android&utm_campaign=share_via).

Or Gary Marcus' critique on DeepResearch, and its potential for flawed science? https://garymarcus.substack.com/p/deep-research-deep-bullshit-and-the?r=6pmg&triedRedirect=true

Also an interesting piece from FT about how to male money with AI. Missing the killer app, is it a technological solution looking for a problem? Making money from AI: Searching for a ‘killer app’ - https://on.ft.com/4hr3Aia via @FT

Anyway. You get my point.

Still, we definitely need to start answering the question about humans' unique added value. But it seems, luckily, that we do have some time to ponder an answer ;-)

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Pietro Catello's avatar

What’s Left for Humans? A Framework for Thriving Alongside AI

Hi David,

I really enjoyed your piece on what remains uniquely human in the age of intelligent machines. Your central question—what did you do this week that only a person could ever do?—is an incredibly powerful way to frame our evolving relationship with AI.

I’d like to add another layer to this discussion by considering how humans will diverge in their approach to AI, and how that divergence might shape our future. I see three emerging categories of humAIns in this transition:

1️⃣ Critical humAIns – Those who integrate AI as a tool to augment their cognition while maintaining a strong, independent critical thinking process. These individuals don’t just consume AI-generated insights; they challenge, refine, and synthesize them, ensuring that their unique human perspective remains at the core. These people will shape policy, innovation, and ethical boundaries in an AI-driven world.

2️⃣ Adaptive humAIns – The majority, who use AI for support in tasks and decision-making but without deeply interrogating its outputs. They benefit from AI’s efficiency but don’t consistently engage in critical analysis. Whether they evolve towards Critical humAIns or slip into passivity depends on the education and cultural frameworks we put in place now.

3️⃣ Complacent humAIns – Those who delegate nearly all intellectual effort to AI, taking its outputs at face value and prioritizing speed and convenience over comprehension. The risk here is a loss of autonomy and agency, leading to a world where human decision-making becomes a mere formality, rubber-stamping what machines suggest.

Your article resonates deeply with this model, because it points to the roles that only humans can fulfill—mentorship, emotional connection, creativity infused with lived experience. But to preserve those roles, we need to ensure that we are actively training people to be Critical humAIns, not passively slipping into complacency.

In a way, this moment echoes the shift brought by the Industrial Revolution. Automation freed us from much physical labor, but at the cost of increasing sedentary lifestyles—so we built gyms to maintain our physical health. Now, AI is poised to free us from cognitive effort, and the question is: will we need mental gyms to maintain our critical thinking skills?

I think the key challenge isn’t just figuring out what is uniquely human, but also ensuring that we don’t atrophy those very qualities in the process. The economy you envision—one centered on distinctly human attributes—will only thrive if we actively cultivate those strengths instead of letting them fade under the convenience of automation.

Curious to hear your thoughts!

Best,

Pietro

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