Will AI make my IT skills obsolete? What ages, and what compounds
Some of your skills are quietly expiring; others get more valuable every year. Knowing which is which is the whole game. Here's how to tell your compounding skills from your depreciating ones.
Key takeaways
- Not all skills age the same way — some expire, some compound
- Tool-specific and procedural skills depreciate fastest as AI absorbs them
- Judgment, domain depth, and systems thinking compound and transfer
- Shift your learning budget toward compounding skills, and let AI handle the expiring ones
"Will AI make my skills obsolete?" is the right question asked slightly wrong. AI won't obsolete your skills as a block — it will obsolete some of them while making others more valuable. The professionals who feel safe aren't the ones with the most skills; they're the ones whose skills are the compounding kind. So the useful exercise is to sort what you know into two piles.
The pile that's depreciating
These are the skills AI absorbs fastest, because they're well-defined and repeatable:
The syntax of a specific tool or framework — exactly the thing an AI assistant now recalls and writes on demand. Routine, procedural work — boilerplate, standard configurations, common patterns, first-draft anything. Knowing where to look things up — once a genuine edge, now something the tool does instantly. None of these is worthless, but their market value is falling, because scarcity is what commands a premium and these are no longer scarce.
If most of your expertise lives in this pile, that's the source of the "obsolete" fear — and it's a fair fear. But it's fixable, because the second pile is where you move.
The pile that's compounding
These skills get more valuable each year, and AI raises rather than lowers their value:
Judgment — knowing what to build and what not to, which trade-off is right here, whether a generated answer is correct or quietly dangerous. Domain and business understanding — knowing the industry, the users, and why the software exists, so you can translate a vague need into the right solution. Systems thinking — holding an entire architecture in your head, seeing how a change ripples, owning reliability and consequences. Taste and ownership — the accountability for an outcome that no tool will take for you.
These compound because they're built on accumulated experience, they transfer across tools and even industries, and they're exactly what's scarce when AI floods the world with competent-but-generic output.
Shift the budget
You have a finite amount of learning time and energy. The move is to spend less of it on the depreciating pile — let AI carry that — and deliberately more on the compounding pile. That doesn't mean ignoring new tools; it means learning them as leverage for your judgment, not as your primary value.
Deciding which compounding skills matter most for your lane — technical depth, management, or a process/product specialisation — is what the ProThink workshops and The Resilient IT Professional help you map. Your skills aren't going obsolete. Some of them are — and the fix is to keep moving your weight onto the ones that compound.
FAQ
Will AI make my IT skills obsolete?
Not as a block — AI will make some of your skills obsolete while making others more valuable. Tool-specific syntax and routine, procedural work depreciate fastest as AI absorbs them; judgment, domain understanding, and systems thinking compound and become more valuable. The fix is shifting your learning toward the compounding skills.
Which IT skills depreciate fastest with AI?
The well-defined, repeatable ones: the syntax of a specific tool or framework, routine and boilerplate work, standard configurations and common patterns, and simply knowing where to look things up. AI now does these instantly, so they're no longer scarce — and scarcity is what commands a premium in the job market.
Which IT skills get more valuable over time?
Judgment (what to build, which trade-off, whether an answer is right), domain and business understanding, systems thinking (owning whole architectures and their consequences), and taste and ownership. These compound with experience, transfer across tools and industries, and grow scarcer — and more valuable — as AI floods the market with generic output.
How should I change what I'm learning because of AI?
Spend less learning time on the depreciating pile — let AI carry routine and tool-specific work — and deliberately more on compounding skills like judgment, domain depth, and systems thinking. Keep learning new tools, but as leverage for your judgment rather than as your main value. Match the compounding skills to your chosen lane.