Experience is now a tax.

There is a CIO at a large firm somewhere right now who has never opened Claude, cannot explain what a Claude skill is, and still asks his reports to print documents and leave them on his desk. And he is the person making the decision about the firm's AI ROI. Across companies around the world including the Fortune 500, the people with authority over how organizations adopt AI are the people with the least firsthand experience of what these tools can actually do. Meanwhile, a 22 year-old is writing production code in an afternoon, turning a napkin sketch into a working prototype by lunch, and moving between visual and written abstractions with a fluency that took their bosses twenty years to build. The two groups are having different experiences of the same technology, and it's making the cultural conversation strange. The senior cohort has settled on two words to explain why they still belong at the top of the stack: judgment and taste. These are things AI cannot replicate. These are things that take decades to develop. These are, conveniently, the exact things the person making the argument has spent a career accumulating. The younger cohort feels that they learn more from an AI in an afternoon than they used to learn from a mentor in a month. They can delete old assumptions and start over with a clean model of a problem in a way someone carrying thirty years of priors physically cannot. And when they bring what they've figured out into a meeting, they watch it get filtered through "well, in my experience" and "that's not how we do things" and "you don't have the context yet." So which is it. Are judgment and taste real, durable skills that AI cannot replicate? Or are they the last ideological defense of a generation that has run out of other advantages? The way humans make decisions is being rewired right now, in real time, at a speed the culture has not caught up to. The algorithms your brain runs when it's trying to figure something out, the ones that have been stable for the entire history of knowledge work, are operating in a different medium for the first time ever. The brains of people who work with AI every day are already wiring differently than the brains of people who don't, and the gap is widening by the month. To see it, you have to look at what the mind is actually doing when it's trying to make a decision. For a long time, neuroscientists and computer scientists have pointed out that the brain runs a small set of algorithms that look a lot like the ones computers run. Three of them matter most here: whether to try something new or stick with what's working, what to hold in your head and what to offload, and when to commit versus when to reverse. Each used to be constrained by cost, which AI collapses extremely quickly. Try something new, or stick with what's working Every organization runs this algorithm constantly. Stick with the current strategy, or try a new one? Keep the vendor, or run a new RFP? Hire the same profile that has worked before, or try something different? Historically, trying something new was expensive, someone had to build the case, run the analysis, defend it in a room, and wear the consequences if it failed. So most organizations defaulted to sticking. Trying something new is now radically cheaper. A product manager who used to take three weeks to build a competitive positioning memo can now generate five versions by end of day, each benchmarked against real competitor data. A portfolio manager who used to take a quarter to evaluate whether to rotate out of a sector can model six alternative allocations over a weekend. Which exposes the real reason most organizations didn't explore before. It was never JUST the cost. It was that the people with the authority to greenlight something new had more to lose from a failed experiment than to gain from a successful one. Senior people have spent careers accumulating credibility, and credibility is expensive to risk. Young people have less of it, and less of it to lose. The bias toward sticking used to have a structural excuse. Now it's become rather personal. What you carry in your head, and what you offload For a long time, being smart in a professional setting meant having the right analogy to reach for. The senior lawyer who remembers that a clause structured this way fell apart in a Delaware case from 2011. The doctor who recognizes a pattern of symptoms because she saw it twice in residency. What looked like intelligence was often retrieval, the person who had spent the longest carrying the most analogies had the fastest access to the right one in the moment. AI does not fully replicate that, but it closes the gap dramatically. A second-year lawyer can surface every historical case that resembles the one in front of her, ranked by relevance, in minutes with a synthesis of the "so what". A junior doctor can walk into a diagnostic puzzle with the full pattern library of her field one prompt away. While the experienced person still has better instincts about which analogy is actually the right one, the raw retrieval & synthesis advantage is compressing extremely fast. What replaces carrying as the scarce skill is structuring the knowledge. Knowing what to externalize, how to organize it, when to pull it back, which analogy actually fits. That has almost nothing to do with years of experience and everything to do with how fluently someone works with these tools. For the first time in a long time, the person with twenty years of analogies does not automatically beat the person with twenty months of them by simply reciting history as a reason it won't work. When to commit, and when to reverse The third algorithm is the inverse of the first. If trying new things was once expensive, so was committing to the new thing once you chose it. Picking a vendor locked you in for a year. Launching a product meant a quarter of engineering before you could tell if it worked. Choosing a strategy meant defending it for twelve months before you earned the right to change direction. The cost of commitment was high because the cost of reversal was high. That is no longer true for a growing class of decisions. You can change your product in an afternoon and change it back the next morning. You can launch a landing page, kill it, launch another before lunch. Commitment used to be a one-way door, but for more and more decisions, it is now a revolving one, which changes the algorithm entirely. The old version was: search long enough to be sure, then commit. The new version is: commit quickly, see what happens, reverse if wrong, commit again. The skill is no longer weighing every option before choosing. It is choosing fast, learning fast, and not attaching your identity to the last version of yourself who made the previous choice. This is where seniority quietly hurts the most. Senior operators have spent careers learning that reversing is a small admission the last decision was wrong, and they have built reputations that make public wrongness expensive. So they reverse slowly, or not at all. Young people haven't yet learned to attach identity to their decisions. Reversal feels like iteration to them, not failure. Which is, for an increasing share of the decisions that matter, exactly what it is. You can see younger people's priors changing extremely rapidly, hour by hour. So now what? Experience is no longer a moat. frankly, in a lot of cases, it's starting to look like a tax. The "judgment" we admire in senior operators is a mix of three things: pattern recognition earned over years, accumulated preferences that are harder to distinguish from facts the longer they live in someone's head, and a growing aversion to being wrong in public. When a senior person says "that won't work," sometimes they are seeing something a younger person can't. Sometimes they are protecting an old decision. Sometimes they genuinely can't afford to be wrong — reputation, politics, sunk cost, the version of the story already told to the board. Real judgment and all of that arrive in the same package. Even the person carrying them can't always tell which is which. However, age is also just a proxy. What actually matters is how much you have to protect, how much you have to lose, the environment you are in, and your ability to take risks. If you are a product manager, investment banker, a consultant, or someone who picked an ambitious-but-safe career where your next promotion rides on not being wrong in front of important people, where every idea has to survive a wall of constraints before it gets acted on, you don't just sit out the risks you would otherwise take. You become a person whose default mode is "well, think about the risks." A "what if this, what if that" person. Rewriting how you make decisions requires the capacity to act on what you see, not hedge against it. Your capacity for that is partly genetic, partly environmental. Mostly environmental. For the young people reading If you can still think about a problem without first running every thought through "yes but what would my boss or the world say," use that ability now. Use it while you have it. The window narrows faster than you think. It narrows partly through accumulation: reputation, ego, fear, dependents, the decisions you have tied your identity to. But mostly through environment. If you are in a place that punishes the clarity you currently have, where every honest insight has to survive a hundred layers of "we don't do it that way" before it can become action, that environment is training you. It is teaching you to run the filter yourself, so other people don't have to. Eventually you will run it automatically. You will have thoughts and discard them before they finish forming, because your nervous system has learned they are not worth having. That is the version of aging that is actually dangerous. If you are in that kind of environment, leave. The comparative advantage of being young is not that you are smarter or more talented, but that you can still think clearly, without a filter, because no one has taught you not to yet. That is your asset! From X Jaya Gupta https://x.com/jayagup10/status/2047508230813917600?s=46