The pace of change right now is dizzying. Many people are worried about whether their skills will continue to be rewarded as technology rapidly advances. People are anxious that skills they've built up over decades will be replaced by AI. They're afraid they won't be able to keep up, adapt, and meet mental challenges they haven't faced before.

I don't want to dismiss these fears; that would be inauthentic. I can't offer reassurance or tell you that you shouldn't feel under threat, but I can try to give you tools to meet the moment and help you understand that your most durable skills are cognitive, not technical.

We'll cover five reflective practices you can use to become a sharper, more nimble, and more astute thinker in any external environment. They're all advanced metacognition — the ability to examine your own thinking, recognize your biases, adapt your mental models, and understand how your tools influence your mind and how your mindset influences the way you use tools.

Adaptability Is a Cognitive Skill, Not a Technical One

1. Audit Your Own "Cognitive Lag." When AI tools are advancing rapidly, your intuitive approaches are going to lag behind. Don't let your brain be stuck six months ago. The best way to do any knowledge-related task six months ago probably no longer is.

You'll need to consciously and perpetually re-calibrate by asking, "Is this still the best way to do this?"

2. Regulate Your Ego to Maintain a "Beginner's Mindset." When things are changing fast and fundamentally, the authority of past experience carries less weight. Strong, rigid opinions are more likely to be wrong. Keep your mind open to rapid iteration in your methods and your ideas. Try assuming that you're probably wrong half the time and that half your ideas are bad. Get more comfortable with this level of fallibility.

The mental shift is not viewing this as threatening.

3. Decouple Your Current Experience From Your Strategy. Imagine you're frustrated because your toddler takes a long time to dress themselves. If all you care about is your current experience, the "smart" move now is to jump in and do it for them. But that solution will quickly become irrelevant. In six months, they're not going to need that help. Another approach might be to create a lot of scaffolding to enable them to get themselves dressed without it being such a clunky process.

The key insight here is that the child is going to mature and improve. Lightweight scaffolding makes sense. You get the best of both worlds — an easier life for you now, without undermining their developing capacity to endure frustration and persist.

Heavyweight scaffolding that takes a lot of effort doesn't make sense because the child's developmental process is going to take its natural course.

What's the point behind this extended analogy? You shouldn't try to adapt to the current reality. Trying to optimize for right now is bad strategy because it's going to be out of date very fast.

Solve permanent problems; don't build complex solutions for anything that's going to change in ways that make those solutions irrelevant.

4. Only Outsource to Technology Skills You Don't Want to Retain. A good rule is to only outsource to technology the skills you don't need to maintain. For example, I don't care that Google Maps feels like it has worsened my sense of direction. I don't care to maintain the skill of documenting a process after I've done it so I remember for next time. On the other hand, I do care about being able to extract the most interesting insights from material I read or listen to. I'll go to AI for a different perspective or anything I've missed, but not to replace my own process of extracting insights and connecting dots across topics I'm interested in.

5. Notice How New-Era Tools Are Changing You in Negative and Positive Ways. Don't rely on anyone else to warn you about negative effects technology might have on you. Be observant. Notice its impact on your skills, communication, perceptions, mood, and motivation.

Just as social media uses lots of hooks to keep us scrolling, AI tools will continue to build hooks to keep us chatting and working (whether that's an easy sense of productivity, asking us "would you like me to..." after giving an answer, or ways to remote into our files from anywhere).

AI companies aren't different from any other internet-era company in grooming their users to be sticky. We've all been through this before. Collectively, it's not our first rodeo. That pattern recognition is your advantage. Adjust your behavior when you notice expected or unexpected ways new-era tools are influencing you negatively.

Excellent metacognition isn't just about guarding against negatives, though. It's also about allowing yourself to notice delightful surprises.

Noticing the positive effects of new tools is just as important as noticing the negatives. This is a huge topic, so I can only touch on it, but I could easily rattle off a list of ways AI has made me a sharper thinker and learner, not a lazier or shallower one. And these aren't just quick wins that'll be replaced by long-term degradation. For example:

Thinking through how I could use AI and AI-written code to accomplish some of my workflows has improved my processes because it's forced me to be explicit about all the steps.

I've noticed that engineering skills I've learned for working with AI are resulting in an engineering mindset I apply to almost everything in my life.

Articulating my standards clearly enough for AI to follow them has made me sharper about what those standards actually are.

Meta-Cognitive Skills Will Never Be Obsolete

The solution to anxiety about rapidly advancing technology isn't scrambling to keep up, even if hustle culture might feed you that message. Instead, recognize that your most important assets for meeting this moment are your enduring skills for observation and reflection. They'll never be obsolete.

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