Why the Best Learning Often Happens Five Minutes Before You Need It
Last month I needed to change a headlight bulb in our 2021 Jeep Grand Cherokee.
I popped the hood, looked around, and found absolutely nothing that made any sense. No obvious access point. No visible bulb housing. Just an engine compartment apparently designed by someone who actively hates the people who will eventually own this vehicle.
I poked around for fifteen minutes. Confidently. Like I knew what I was doing.
I did not know what I was doing.
So I did what many of us eventually do when pride loses its argument with reality. I pulled out my phone and looked it up.
Three minutes later I knew there was a small access hatch hidden behind the wheel well liner. Remove it, reach in, done. Ten minutes after that the Jeep was fixed and I was back inside wondering why I spent fifteen minutes being wrong when I could have spent three minutes being right.
Fifteen minutes is nothing though. I know people who would have spent half a Saturday out there before surrendering and paying a shop two hundred dollars for something a free YouTube video solves in less time than it takes to drink a cup of coffee. Most of us have lived that story in some form. The home repair that quietly became a contractor bill. The work problem that ate an entire afternoon before someone finally just Googled it. The slow, expensive refusal to admit you don’t already know the answer.
Pride is expensive. I’ve paid that bill more than once.
The older I get, the faster I go straight to the source. Not because I’ve gotten lazier — because I’ve gotten smarter about where my time actually goes.
That’s just-in-time learning. Most people do it every single day without knowing it has a name.
The idea isn’t complicated. Instead of studying everything upfront and hoping it eventually becomes useful, you learn something at the exact moment you actually need it. The problem shows up first. The knowledge follows.
It borrows from manufacturing — producing what’s needed when it’s needed instead of warehousing inventory that may never ship. Apply that logic to your brain and it holds up. Why load your head with information that has no context, no urgency, and no immediate place to land?
Most of us were trained on the opposite model. Study broadly. Build the foundation. Trust that it’ll matter later.
Sometimes it does. Often it doesn’t. Or more accurately — it matters later, but by then a lot of it has drained away because there was no reason for it to stick when it first arrived. This is one of the core problems that just-in-time learning and modern microlearning both try to solve — the gap between when knowledge is delivered and when it’s actually needed.
Veterinary school gave me a real foundation and I’m grateful for it. But the week I graduated and found myself suddenly responsible for managing people — conflict, hiring, scheduling, budgets, all the things they absolutely do not cover in pharmacology class — I figured out fast that the classroom had only taken me so far.
So I read. I searched online — this was 2001, long before YouTube existed and when the internet was still a pretty thin library compared to what it is now — and dug through professional journals and trade magazines looking for anything that helped me have a hard conversation or understand a balance sheet. I learned things right before I needed them, which was usually about forty-eight hours after I already should have known them. It wasn’t pretty. It worked anyway. And it stuck, because real problems have a way of making knowledge stick that hypothetical ones never do.
That pattern has repeated itself my entire career. Managing a business. Leading teams. Making decisions at a scale I hadn’t faced before. Every time, the need came before the knowledge. Every time it stayed with me because the stakes were real.
The older I get the more comfortable I am admitting that upfront instead of pretending otherwise. The skill isn’t knowing everything. Nobody knows everything. The skill is knowing how to find out fast and apply it well.
That’s how most real professional development actually happens — not in the annual training seminar, not in the certification you earned three years ago, but in the moments when you were responsible, slightly over your head, and determined to figure it out.
Most professionals feel guilty about that. Like they should have already known. Like everyone else got a manual they somehow missed.
They didn’t. Neither did you.
Nobody carries a road atlas anymore. Nobody memorizes phone numbers. And nobody should feel guilty about not having every answer loaded in their head either.
Search engines changed this once already. You stopped needing to memorize phone numbers, directions, conversion charts, and a thousand other things your parents had to actually know. Now AI platforms like Perplexity and Gemini are taking it another step further. You don’t sift through ten links hoping one of them answers your question. You ask, you get a direct answer, you move on.
Are they perfect? No. I’ve caught both of them getting things wrong, so I don’t take anything at face value without a quick gut check. But for most everyday questions — the kind where you just need a reliable answer fast — they’re pretty solid. And they’re getting better at a pace that’s hard to keep up with.
The gap between not knowing something and knowing it is smaller than it has ever been.
I’m not trying to be a human encyclopedia. I’m trying to solve problems, make decent decisions, and keep things moving. If a tool gets me there faster, I’m using it without apology. The older I get the more I lean into that instead of treating it like cheating.
Now let me argue against my own point, because the whole thing falls apart if I don’t.
Just-in-time learning done poorly isn’t learning. It’s skimming. You can spend twenty years looking things up and never actually get good at anything. Fix the immediate problem, move on, never build anything underneath it. I’ve known professionals with two decades of experience who are still winging every single day because they mistook tactical scrambling for actual growth. They’re not twenty years good at their job. They’re one year good at their job, repeated twenty times.
I can change my Jeep headlight now. I still couldn’t explain that electrical system to save my life. There’s a real difference between solving a problem and understanding a field — and blurring that line is where just-in-time learning goes sideways.
Good judgment — the kind that lets you see problems before they arrive and make solid calls when the stakes are high — doesn’t come just-in-time. It comes from years of work that didn’t have an obvious immediate payoff. There’s no YouTube video for that. Deep expertise, real pattern recognition, the ability to read a room or a situation accurately — that stuff gets built slowly, deliberately, and mostly without immediate reward.
So the honest answer is you need both. Deep roots in the things that matter most to your work. Fast learning everywhere else. The foundation tells you what matters. The just-in-time learning fills in the how. One without the other leaves you either rigid or shallow, and neither is a great look after forty.
If you’re early in your career, build the foundation. Do work that won’t feel useful for years. You’re building the infrastructure that makes everything else faster later.
If you’re mid-career and feel like you’re always a step behind — some of what you need to know can’t be learned until you actually need it. The context wasn’t there yet. You weren’t behind. You just hadn’t met that problem yet.
And if you’re standing somewhere right now completely stumped, stop pretending otherwise. Pull out your phone. Find the answer. Apply it. Move on.
You’re not failing.
You’re just learning the way people actually learn when something real is on the line.
The older I get the more I think that’s not a shortcut.
That’s just good sense.