Most groups of friends have someone who gets this reputation: “If you have a problem, ask that guy.” Work, relationships, computer trouble, buying something, planning a trip—whatever the issue is, talking to him somehow seems to move things forward.
So you finally bring him a problem of your own.
His first response?
“Let’s ask AI first.”
He opens an AI tool. You explain the problem. He adjusts the question a little, adds a few missing conditions, asks a follow-up, and looks over the response instead of simply accepting it.
Eventually, the problem gets sorted out.
You go home satisfied. Later, when another friend runs into trouble, you tell them:
“Ask him. He always figures things out.”
Which is slightly ridiculous when you think about it.
AI-generated illustration visualizing the situation discussed in this article.
Knowing the Answer Is No Longer the Only Way to Be the Smart One
There was a time when the dependable person was usually the one who simply knew more than everyone else.
They knew cars. They understood computers. They knew the odd rules surrounding paperwork, money, work, or social etiquette. They were the human equivalent of an encyclopedia sitting somewhere in your office, neighborhood, or family.
Then the internet changed the job.
You no longer had to memorize everything. It became just as useful to know where to look, which search terms to use, and which source was worth trusting.
Generative AI changes the role again.
Now the useful skill is increasingly not just “What do you know?” but “Can you turn a vague problem into a question that produces a useful answer?”
The person giving advice does not necessarily need to carry every answer around in their head.
They need to recognize what the real problem is, identify the missing conditions, and turn a messy situation into something an AI system can actually work with.
AI-generated illustration showing the shift from memorized knowledge to search skills and AI prompting.
“Just Ask AI” Is Not Actually Good Advice
There is an obvious trap here.
If someone responds to every problem with “Ask AI,” that person is not a brilliant adviser. They are basically a signpost pointing toward a chatbot.
The internet had a similar character years ago: the person whose answer to everything was, “Just Google it.” Strangely enough, that did not turn them into the most beloved source of wisdom in the neighborhood.
The person who is genuinely useful does something else.
They say things like:
“That question is too broad.”
“Tell it your budget.”
“That answer involves legal information, so check the official source too.”
“AI says that—but what do you actually want to do?”
That is not merely handing the problem to a machine.
It is translating a human problem into a form that a tool can work with, then translating the result back into the messy real world.
That part still requires a human brain.
Calling AI Users “Lazy” Can Be a Lazy Argument Too
There is still a familiar criticism of generative AI: using it means you are not thinking for yourself, or that you are taking the easy way out.
Sometimes that criticism is completely fair.
If someone accepts the first AI response, copies it without checking anything, and treats a confident sentence as proof, they are not displaying some new form of intelligence. They are just outsourcing judgment.
But the opposite extreme is strange too.
Doing everything manually is not automatically a sign of superior thinking.
A person who refuses to use a calculator is not necessarily better at work. Someone who refuses to use navigation and gets lost is not praised for “thinking independently.”
If a useful tool exists, using it is hardly a moral failure.
The real question is what happens after the tool gives you an answer.
Can you tell whether it makes sense? Can you spot what is missing? Do you know when the answer needs verification? Can you apply it to the actual person standing in front of you?
AI-generated illustration. The contrast represents different approaches to problem-solving rather than a literal comparison.
The “Smart Person” May Start Looking a Little Different
AI may be quietly changing what people mean when they call someone knowledgeable.
The old-fashioned version of a knowledgeable person stored a huge amount of information in their own head.
The newer version may be someone who can retrieve useful information when it is needed, question it, check it, and turn it into a practical decision.
That requires more than raw knowledge.
It takes the ability to ask questions, organize a problem, doubt an answer when necessary, and make the final call.
And that creates an odd possibility: the more capable AI becomes, the more visible the differences between human users may become.
One person types a vague sentence, accepts the first reply, and stops.
Another notices that the original question was wrong, adds the missing details, asks again, checks the important parts, and turns the result into something useful.
From the outside, however, the story still sounds surprisingly old-fashioned.
“Ask him. He usually figures it out.”
The difference is that the encyclopedia is no longer inside his head.
It is sitting beside him.
And perhaps his real advantage is simply that he knows what to ask it—and when not to trust it completely.
That may be enough to turn someone into the unofficial wise man of the group without them ever becoming a walking encyclopedia themselves.
AI-generated illustration representing an informal adviser using AI as one tool among several.
Editor’s Note
Maybe the next great “advice guy” is simply the person who knows how to build a decent prompt. You no longer need to know everything yourself. But there is still a big difference between knowing how to question AI and telling everyone, “Go ask a chatbot.” The first can make you useful. The second just makes you a human shortcut icon.