I admit I’ve been using AI for a lot of my work as a freelancer. I mean, who doesn’t use AI to make things easier these days, right? It’s an undeniably remarkable tool, and when used properly, it can help us work faster and become more efficient.
But it’s also really tempting to rely on it too much.
AI can give us something almost instantly, whether we need ideas, research, copy, content, or even help figuring out how to do something. And as much as I love using this revolutionary tool, the more I use it, the more I’m reminded that it’s not always accurate, complete, or even appropriate for every situation.
Regardless of how much industry leaders, advertisers, or influencers hype up the benefits of AI, I still think it should support our expertise, not replace it.
AI can make mistakes.
When you ask an AI tool like ChatGPT a question, it’s easy to assume the answer it gives you is valid and correct. I mean, why wouldn’t you believe it?
It presents everything so confidently. The answer is clear, organized, and sometimes sounds like it knows exactly what it’s talking about.
But confidence doesn’t equal accuracy.
I’ve learned that there are still a few things we need to watch out for when using AI.
Wrong statistics. AI can give you numbers that look completely believable, but that doesn’t necessarily mean they’re correct. If I’m using statistics for something important, I still manually fact-check them before publishing anything.
Outdated information. The information AI gives you may come from sources that are no longer relevant or updated. So aside from checking whether something is accurate, I also ask: Is this still true today?
Made-up references or sources. Yup, AI can do that too. I once asked ChatGPT to give me reliable sources for something I was researching, and when I checked them, most of the links didn’t even work.
So yes, AI can sound incredibly convincing. But that doesn’t mean we should stop checking its work.
AI still needs human input to make it work.
I write copy and content for different types of media for my clients whenever needed. And whenever I use AI to help me work faster, I still make sure I have the right information about the project before I start prompting it.
Why?
Because AI doesn’t automatically understand my client’s business, goals, audience, voice, or unique situation. I have to give it that context if I want something useful in return.
What works for one client may not work for another. A generic strategy might sound good on paper, but that doesn’t mean it makes sense for the actual business I’m working with.
The same goes for website copy, content ideas, marketing strategies, or pretty much anything else I use AI for.
AI depends on your direction. Not the other way around.
And I think this is where our own experience becomes even more important. You still need to know enough about what you’re doing to recognize whether the answer AI gives you actually makes sense.
Critical thinking and research still matter.
This is probably the biggest thing I’ve learned from using AI regularly.
It’s very easy to let AI do the thinking for you.
You ask a question, get an answer, copy it somewhere, and move on. It saves time, which is exactly why we use it in the first place.
But I don’t think saving time should mean skipping the thinking part.
Sometimes I’ll ask AI for something and get an answer that sounds perfectly reasonable at first. Then I look at it again and think, Wait. Does this actually make sense for what I’m trying to do?
That’s where research, experience, and professional judgment still come in.
We still have to ask questions. We still have to compare information. We still have to understand the context behind whatever AI gives us. And sometimes, we still have to ignore its suggestion completely and do what we know makes more sense.
I think that’s also why learning the actual skills behind our work still matters, even when AI can technically help us do some of them.
If we don’t understand what good work looks like in the first place, how are we supposed to know whether what AI produced is actually good?
AI is a tool. We’re still responsible for the work.
Sometimes, AI can be God-sent. Other times, it can be a hassle.
Something you thought would save you a couple of hours can suddenly give you a whole other set of things to fact-check, rewrite, correct, or figure out.
AI is still developing, and I definitely think it’s here to stay. It will probably become much better in the coming years and take on more of the tasks and skills that humans do today.
But I don’t think that makes our ability to think any less important.
If anything, I think the opposite is happening.
The easier it becomes to generate information, content, ideas, and answers, the more valuable our ability to question those answers, make decisions, understand context, and apply our own experience becomes.
And as someone who genuinely likes using different online tools to make work easier, this is the thought I want to leave here:
Use AI smarter, but don’t stop developing your research skills, critical thinking, and professional judgment.
Because yes, AI can help us move faster.
But it’s still our responsibility to make sure we’re moving in the right direction.
Photo by Tara Winstead
Share this post!
