When someone says, “we should use AI,” how do you unpack what’s really being asked?

Artificial Intelligence

Michael Brinn

PMI Team Member

Product Manager, Learning| PMI Denver, Colorado, United States

What signals help you tell different kinds of AI work apart—and what tends to go wrong when everything gets lumped together?

Have you ever been in a conversation where “AI” meant different things to different people? What tipped you off?

Share your experiences navigating what’s really being asked when someone says “we should use AI” in the comments below.

Posted: Feb 19, 2026 10:37 AM

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BATHMANABAN S Trichy, Tamil Nadu, India

Posted: Jul 24, 2026 1:36 AM (Updated by author: Jul 24, 2026 1:59 AM)

BATHMANABAN S Trichy, Tamil Nadu, India

I don't have personal experiences or real-world conversations, so I can't say I've been in one myself. But in many discussions, I've analyzed, "AI" often means very different things to different people.

Posted: Jul 24, 2026 1:59 AM

Arthur Bialowas Tallahassee, Fl, United States

When someone says, "we should use AI," I think it's important to first understand the actual problem they're trying to solve. I would ask what task they want to improve, what outcome they're hoping for, and whether AI is the best solution. By asking these questions first, it's easier to choose the right AI tool and make sure it adds value instead of creating unnecessary complexity.

Posted: Jul 24, 2026 8:31 AM

Inemesit Adeniyi Portage Regional Economic Development Portage la Prairie, MANITOBA, Canada

When I hear 'Lets use AI' the first thing that comes to me is identifying the business problem this usually determines the use case. When the use case is identified, the type of AI to employ usually stands out, I consider anonymizing data and activating the human loop in every stage of my work very important I have come to realize that so many people see using AI as an escape route not to put in the works. but we should remember that, especially, with social phenomena things can be very dynamic.

Posted: Jul 24, 2026 11:47 AM

Nasira Kiran

Feb 25, 2026 5:29 AM

Replying to Eduard Hernandez

...

Most individuals relate AI to LLM lihe ChatGPT. There are very few individuals who realize that AI is on an "agentization" process, evolving from the current assistant status.

Agentization refers to the process of turning an AI system (such as a LLM) into an autonomous agent that can:

Perceive its environment (through inputs, data, APIs, sensors, etc.)
Make decisions based on goals
Take actions using tools or external systems
Adapt based on feedback or changing conditions

That's an interesting point. As AI becomes more autonomous, I think trust and accountability will become even more important. If an AI agent makes a decision, who should be responsible for the outcome?

Posted: Jul 24, 2026 12:51 PM

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When someone says, “we should use AI,” how do you unpack what’s really being asked?

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