Why I stopped recommending AI courses to business owners

I don't recommend AI courses to business owners any more. In 2023 I took every one I could find. Most were useless to me, and the reason was not my discipline or yours. A course teaches a syllabus to a room. You need one answer to the problem sitting in front of you this week.

What is the best AI course for a business owner in India?

There is no best one, and the ranking is the wrong question to ask. The institutional programs are credible. They are taught by serious people and they do strategy fluency well. Their gap is structural rather than a failure of quality. A cohort and a curriculum cannot spend an hour on your stock report, your debtor list, or the proposal you have to send on Friday. The short online ones fail the other way. Ask what will be running in your business on the day it ends.

So stop comparing rankings and apply one test instead. After the program ends, is there one piece of your own work that now runs differently. Not a certificate. Not notes you will never open. A task you used to do on Sunday night that now takes an hour at the start of the week. If a program cannot tell you which task that will be before you pay, it has no way to produce it.

The failure was structural, not a discipline problem

There were two failure modes in those courses and almost nothing in between. Too basic, 10 hours to learn what should take 30 minutes. Or too technical, assuming I could code, which I can't and never could. The conclusion I wrote at the time still holds. "By 2024, I knew: this way of learning is broken for busy executives."

One group assumes you have never typed a question into a chat window. The other assumes you can read a line of Python. I ran a P&L for 25 years. I had never written code and I was never going to start. What I needed was in neither place.

The missing piece is the part nobody was teaching. How do you take an output and put it inside work that already exists, with your name on the sign-off. How do you tell, in two minutes, that the output is wrong. No syllabus covers that, because the answer is different for a rice trader, a logistics operator and a chemicals distributor. It depends on what you already know, and a room of strangers does not share that.

How do I learn AI if not from a course?

Start from one problem you already own, not from week one of anything. Pick the task you repeat every month and dislike every month. For most owners on this kind of desk it is the monthly review: stock movement, receivables aging, the five accounts that slipped.

Do that one task with the tool sitting next to your own numbers. Then check it. Take three claims in the output and match them against your ledger. You will find one that is wrong or vague, and the reason you find it is that you have been reading these numbers for years. That noticing is what you are actually learning. The output proposes, you sign off, and the gap between those two is your judgment, which no program can install.

Then do it again tomorrow with a different problem. One question about your own work, every day. I learned this way because nothing else was available to me, and it taught me more than the courses had. Next month the same monthly review takes an hour, because you are repeating a run you have already checked once.

Your action this week is small. Name the task. Run it once. Check three claims. If the checking part is what you cannot do yet, that is useful information, and it is not a reason to buy a syllabus.

What do owners ask me next about learning AI?

Do I need to know how to code?

No. I can't code and I never have. What happens in a chat window is typing, plus the judgment to know when the answer is wrong. The typing is learnable in an afternoon. The judgment you already have, from running the business, and nobody can hand it to you.

Who runs A.D.A.P.T. AI Coaching?

I do. I started it in July 2024, after 25 years running consumer goods businesses in India and a startup I took from zero to exit. What actually worked was asking one question of my own work each day.

Should I wait until the tools get better?

No, because waiting does not build the part that matters. The models will keep changing. The skill of reading an output against what you know about your own market does not change, and it only comes from doing it on your own numbers, repeatedly, starting now.