As AI tools get better at producing a first draft, a working piece of code, or a plausible answer, the value of producing those things at all quietly declines. What becomes more valuable is something less visible: the ability to tell whether what was produced is actually correct, appropriate, and worth using.
Generation is getting cheap; evaluation is not
A model can produce a plausible-sounding paragraph, function, or analysis in seconds. Whether that output is actually right, in a specific context, still requires someone who understands the subject well enough to spot the subtle error, the missing edge case, or the confident-sounding claim that does not quite hold up. That evaluative skill was always valuable. It is becoming the bottleneck, now that production is no longer one.
People with strong foundational knowledge in a field are positioned to use AI tools as genuine accelerators, since they can quickly spot when something is off and correct it.
This creates an uncomfortable dependency: evaluating AI output well requires roughly the same depth of understanding it would take to produce the output without help in the first place. Someone who never built that underlying understanding has no real way to catch a plausible-sounding mistake, because the mistake is specifically designed, by nature of how these tools work, to sound reasonable.
Why this favors people with real fundamentals
People with strong foundational knowledge in a field are positioned to use AI tools as genuine accelerators, since they can quickly spot when something is off and correct it. People without those fundamentals tend to accept output at face value, because they have no independent way to check it. The gap between these two groups is likely to widen rather than close as the tools improve, since better tools make convincing wrong answers more common, not less.
What this means practically
It argues for treating foundational learning as more important now, not less, even though it is tempting to assume tools will fill any gap. The tools amplify whatever judgment is already there. They do very little to build that judgment in someone who skipped developing it in the first place.
