How Are You Answering the AI Question?

Artificial intelligence is absolutely everywhere right now.

For some people, it feels exciting. For others, a little overwhelming (or downright scary). And for a lot of business leaders, especially newer adopters, the question is pretty simple: Should I use it, and if so, how?

That’s the right question.

Because the real issue is not whether AI is good or bad, it’s whether you’re using it appropriately, intentionally, and in a way that actually helps.

At this point, I think one of the most important things leaders can do is stop treating AI like a magic answer and start treating it like what it really is: a tool. A useful one, sometimes a very powerful one, but still…just a tool.

And like any tool, its value depends on whether it’s the right one for the job.

Start with the Right Tool

Think about it this way: if you need to drive one screw into the wall, you probably don’t need a power drill. A regular screwdriver may be just as effective, maybe even better, because it gets the job done without overcomplicating things.

Now, if you’re doing that same task hundreds of times, a power drill starts to make a lot more sense.

The same logic applies to AI.

Sometimes AI is the power drill. It saves time, reduces friction, and helps you move faster. Sometimes it’s overkill. And sometimes, truthfully, people are reaching for the tool simply because it’s new, not because it’s necessary.

There’s also another question worth asking: do you even need a screwdriver or a drill, or are you trying to solve a problem that actually calls for a completely different tool? (Okay, I promise the tool metaphors are done now!)

But really, that’s where a lot of the confusion around AI comes from. People start with the tool instead of the problem. They ask, “how can I use AI for this?” before asking, “what am I actually trying to accomplish?”

Why Are You Using It?

As I mentioned earlier, when I think about AI, I come back to two questions:

Why am I using it? How am I using it?

If those answers aren’t clear, the tool tends to create more noise than value.

Used well, AI can help generate options, summarize information, identify patterns, support brainstorming, tighten language, or save time in areas where speed and structure matter more than personality.

Used poorly, it can make your work more generic, more sterile, less accurate, and less useful. It can also quietly weaken your own judgment if you start handing over thinking that you should still be doing yourself.

Don’t Use AI to Degrade Your Own Ability

I think one of the risks of AI, especially for newer adopters, is that people start using it in places where they are already highly capable.

If you’re already an A-level writer, strategist, or communicator, why would you want to hand that over to a tool that is going to produce B-level work at best, and often C-level work unless it’s guided well and reviewed very carefully?

That doesn’t mean AI has no role there! It might still help with structure, speed, or idea generation. But it shouldn’t replace a strength you already have.

On the other hand, if you’re working in an area where you are less proficient, AI may be a very helpful support tool. It can help you get started, explore options, initiate the first level of research, or think through a problem with more confidence than you might have had on your own.

That is a very different use case!

Put simply, make sure you’re using AI where it strengthens you, not where it waters you down.

Precision vs Personality

If I’m drafting something like a contract, a policy, or another document where precision matters and personality is not the priority, I’m much more open to leaning on AI support. In those settings, clarity, consistency, and completeness are valuable, and my tone can be a lot more formal without causing problems.

But if I’m writing something social, emotional, or human-facing, too much polish can actually work against me.

Overly polished content tends to feel sterile and robotic. It sounds smooth, but not real. Clean, flawless, and just “uncanny valley” enough to make people pull back from it.

That’s not what I want!

I’d rather sound dynamically imperfect. Perfectly imperfect. Human, in other words.

Especially in leadership, people don’t connect with robotic perfection. They connect with credibility, honesty, judgment, and a voice that sounds like it came from a real person who has actually lived through something.

AI can support that process, but it cannot replace it.

Review Is Not Optional

One of the other big mistakes I see teams make is assuming that because AI can generate something quickly, it can be trusted automatically.

It definitely can’t.

Anything AI produces still needs human review, always! It’s true in general business, and it’s especially true in compliance and highly regulated industries. If you operate in a regulated space, you already know that language matters: definitions, context, assumptions, etc. The difference between “close enough” and “correct” can be significant.

AI doesn’t understand your risk the way you do. It doesn’t own your obligations, sign the submission, face the auditor, answer the inspector, or deal with the downstream consequences of an error.

But you do! 

That’s why the human element is not just important, it’s essential. In regulated environments, AI may help you move faster, organize information, or draft starting points. But it should never replace judgment, review, accountability, or plain old human insight.

AI in Compliance and Regulated Industries

Highly regulated industries tend to live at the intersection of speed, precision, and scrutiny. That creates a strong temptation to use AI aggressively, because the volume of documentation, communication, and analysis can be substantial and feel like “busy work”.

So first, yes, there’s real opportunity to save time there. AI may be useful for first drafts, organizing requirements, summarizing large documents, building frameworks, or helping your team think through questions more efficiently. But efficiency isn’t (or shouldn’t be) the only goal. Accuracy, suitability, and defensibility matter just as much.

That means AI must be used within a disciplined process. Someone still has to know what good looks like. Someone still has to catch what is missing, what is misleading, or what sounds fine on paper but falls apart in practice.

A tool can assist the process but it can’t own the responsibility.

So what next?

For newer adopters, I think the best approach to AI is somewhere between fear and blind enthusiasm.

In other words, discernment.

Use the right tool for the right job. Know why you’re using it. Know how you’re using it. Don’t let it replace strengths you already have or lower your standards. And never remove the human review that keeps the work grounded, accurate, and useful.

AI can absolutely make life easier. But only if it’s actually helping you do better work, not just faster.

And those aren’t always the same thing.