TODAY’S THOUGHTS ☠️

Hey friend 👋,

A few years back, I wrote an analysis on “The Hidden Impact of AI on Your Skills” when it wasn't so sexy to talk about the not so nice side effects of addictive intelligence aka AI.

Then late last year, I followed this up with a sort of sequel where I explored that “Skill erosion impacted by AI is a real problem we can’t ignore”.

Since publishing that last one, I’ve only noticed that erosion is increasing but let me be clear that is not the fault of AI, no my fellow human, it is in how we choose to use AI.

This piece from BCG titled: “When Everyone Uses AI, Companies Risk Losing Critical Skills”, got my neurons firing all over again about the topic. That and the fact I’ve witnessed some rather odd lapses in judgement, common sense and critical thinking with more human interactions these past 3 months.

So, today, I’m revisiting my initial analysis of why skill erosion is a real problem, and how you, me and the rest of our society can do something about that.

I don’t have all the answers, yet I’m sure we can come up with some good ones together.

Get your tea or beverage of choice ready 🍵.

We've got lots to discuss!

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IN THIS DROP 📔

  • The skill erosion problem

  • Build your AI-powered L&D research analyst with me

  • BTS on how I create my videos

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THE BIG THOUGHT 👀

We Need To Talk About Skill Erosion

Ok, this update was prompted by BCG rolling into my inbox with this banger.

Safe to say I was nodding along to it all but also thinking: “what took you so long to figure this out?”.

The TL;DR (too long; didn’t read) of that article is BCG surveyed 70 C-suite leaders and senior executives across multiple industries and found that half are already observing de-skilling in their organisations. Plus, more than 60% believe that this de-skilling will pose a material threat within the next three to five years (I’d say today but who am I against a billion-dollar company?).

Their pov is that a growing body of research points to a mounting cognitive debt, the gradual erosion of critical thinking, judgment, curiosity, and originality among frequent AI users.

That all sounds positive, doesn’t it?

Source: BCG

It’s not like we don’t know this in the dark deep reaches of our minds.

We’re just mostly choosing not to talk about it as it’s far more thrilling to focus on “Oh, did you see how good that new model from Claude is? It made me this pretty strategy document”.

What gives, will also take.

Consequences

It’s such a serious sounding word, isn’t it?

Like something your parents would say to you.

Our choices can lead to consequences in many forms, that’s the risk we all take, and not to keep sounding like some old stoic, but life is essentially all about risk.

When I spoke about AI over-reliance and the illusion of expertise in a previous post, I only covered in small detail what the consequences of those choices could mean.

In 2026, it’s clear to me that’s skill erosion.

The Great Erosion of Skills

Do you remember just after the pandemic, when every headline was something like “The Great ‘x’ of blah blah?”

I’m happy to make a contribution to that movement 😂.

Jokes aside, you might be noticing some people’s skill sets are eroding through lack of use, and some aren’t even learning the skills at all. This is being driven by the change in the tasks we now deliver.

As AI gets better and better at completing a wide variety of tasks, it means we (as humans) do less in certain areas.

That is not always a bad thing.

Cognitive offloading of some tasks can amplify our ability to perform better in the workplace. A good example of this is GPS. Before we had GPS in our lives to guide us to destinations, we’d spend hours pouring over gigantic maps with tiny text, trying to figure out the best route.

Now, at the touch of a button, we’re guided without having to activate one brain cell.

There’s another side to this coin, though.

Humans, for the most part, want to take the path of least resistance and favour instant gratification over the challenge (I’m no different here).

The problem is that real learning and thus improved performance are about navigating the challenges. It’s really hard to learn how, what and why if you don’t experience the struggle.

AI doesn’t take this away all on its own, how we use AI does.

In our quest for “more time”, “creative freedom”, “improved efficiency” and every other statement that tech CEOs blurt out about AI, we’ve become obsessed with the automation of everything.

This creates the consequences I’m talking about.

What we lose and what we gain

I always remember an old colleague saying, “You can have it all, you just can’t have it at the same time”.

While it was in relation to something else, I can’t help but think it fits well in this conversation.

I’ve found life to be a series of trade-offs.

If you say yes to one thing, you’re saying no to something else. It sounds like easy math (and it is), but it’s by no means a simple equation.

I’m not the first to consider the impact of AI in this way.

The folks at Gartner have been covering this as they look towards what is putting future workforces at risk.

Here’s an excerpt to ponder:

Gartner predicts that by 2028, 40% of employees will be trained and coached by AI when entering new roles, up from less than 5% today.

While this shift promises faster onboarding and adaptive, scalable learning, it also means fewer chances for employees to learn from experienced peers. Junior staff, who once relied on mentorship and hands-on experience, will learn primarily from AI tools, while senior staff increasingly depend on AI to complete complex work.

This shift accelerates the loss of foundational skills and weakens expert mentorship and relationship development across the organization.

Source: Gartner

We have skills eroding through lack of practice and application, and it seems, the quick expiring of skill creation with future generations entering the workforce.

Harold Joche put it nicely when he said, “One key factor in understanding how we learn and develop skills is that experience cannot be automated”.

So, what can be done?

Are we doomed to roam the world skill-less and watch AI-powered tools suck the life out of the world itself? Of course not, there is a way, my fellow human hacker.

Strategies to prevent skill erosion

So, instead of moaning about the great wave of skill erosion, I’d rather focus on doing something about it.

The good news is there’s a lot we can all do.

If you haven’t already, you can find a ton of my guidance in these articles:

Saves me repeating myself like a broken record here.

The folks at Gartner offer some basic but useful actions for the workforce:

  • Watch for AI mistakes and rising error costs, and keep manual checks in place where AI is used most.

  • Retain your senior staff and encourage peer learning to slow skill loss.

  • Focus on roles at risk and review your talent strategies regularly to keep key skills strong.

  • Pair AI with human oversight and maintain manual checks as a backup for AI.

  • Encourage employees to continue exercising core skills (e.g., analysis, problem-solving) even when AI tools are available through simulations, rotations and shadowing.

  • Use AI simulations and adaptive training, but make sure people still learn from each other.

And you’ll find BCG’s advice in the article I shared earlier.

Fret not friend, I have more …

Pick one thing not to outsource

I went deep on “Why you need to know what not to do with AI”, in a previous edition (like, you should totally read that).

In that, I walk through a great exercise from the internet's favourite chill founder, Greg Isenberg called the “Non-negotiable”.

It's below to save you finding it later.

Source: Greg’s Letter

My question to you: What would you add?

Final Thoughts

There’s much more to ponder on this.

Like with everything in this space, whether it happens or not is down to your individual choices and intentions. So, if you want to craft a career for the long haul, make smarter choices when it comes to how you use AI.

The fate of your skills and capabilities depends on it.

See you next time, human.

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VIDEO THOUGHTS 💾

A Behind The Scenes Look at How I Build My Videos

"How do you make your videos look so good?"

I get asked this more often than I ever expected, and the answer is really easy.

In this video, I walk through:

  • My video production workflow in my video editing tool of choice

  • My most used features that make my videos pop

If you've been putting off making videos because the process looks difficult, this might just change your mind.

Enjoy 😊.

Till next time, you stay classy, learning friend!

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