Do you feel like you missed the AI train?

Three and a half years have passed since OpenAI launched ChatGPT as a browser-based tool to help us do things we had never done before.

I started using ChatGPT as a new kind of Google, but with one big difference: the answers felt personalized for me.

I remember one of the first questions I asked. And maybe you asked the same question too.

I asked:

“Do you know Fabricio De los Santos?”

And I was impressed, because it gave me detailed information about myself.

Of course, looking back, that was one of ChatGPT’s classic characteristics: making the answer feel perfectly tailored to the person asking.

In other words, it was almost saying something like:

“You are a very important person, even if the world doesn’t know it yet.”

And that immediately put ChatGPT in my top five favorite contacts.

Because, let’s be honest, only your mother thinks you are the best person in the world. Your wife knows you don’t like washing the dishes, and she remembers many other things you do around the house. And if you have children, maybe at home you are Superman.

But for the rest of the world, you are just one more person.

I think that was one of the reasons why ChatGPT gained so many fans so quickly. Today, many people around the world who use a mobile phone are probably using ChatGPT or another AI tool, such as Claude, Gemini, or others. And with these tools, they can now do many things they could technically do before, but with many more obstacles.

So, in my opinion, one of the main things generative AI gives us is freedom from certain obstacles. And that is something to be grateful for. But we have to be careful.

Imagine you have a machine that removes snow easily and quickly. That machine is great because it helps you go to work every day without problems during winter. It can also help clean the streets. Two benefits for the price of one.

But would it be a good idea to use that machine in summer? Or in places where it never snows?

Probably not.

That is why we need to understand how different machines work, what the best way to use them is, what happens when we use these tools, and what is going on under the hood. And perhaps this is where experience matters.

Young people may be faster with new tools, but adults have something very valuable:

Experience.

And experience helps you know which questions to ask. So, if you are over 40, I can tell you something:

You already have many of the cards in your hands.

Now, the only thing you need to learn is how to play this new game.

Watch the Spanish video version

I also recorded a Spanish video version of this reflection, where I explain the idea in a more conversational way. You can watch it here:

And I’ll see you on my YouTube channel:

@podcastfabricio

See you soon!

Fabricio De los Santos

AI Solutions & Integration Architect | Business Automation | Systems Integration | Applied AI