AI in Everyday Life: Dependency and the Loss of Independent Thinking

When was the last time you wanted to win an argument or just figure something out from scratch? To be honest, most of us just grab our phones, type in a question, and let a chatbot or smart assistant spit out an answer. It’s gotten so common that it barely feels like a decision anymore. ChatGPT drafts your emails. Spotify seems to know what you’re in the mood for before you do. Google? You only need half the question and it’s already autofilling the rest.

That’s not bad by itself. Most of these tools really do make life smoother. But there’s a big question lurking: are we actually getting smarter using AI, or are we slowly giving up our own thinking in exchange for an easier ride?

Honestly, it’s both. And that tug-of-war deserves more attention than it’s been getting.

AI Dependence and Critical Thinking:

It’s not just about using AI a lot. AI dependence means we keep leaning on artificial intelligence for the stuff, literally a couple years ago, we used to sweat through ourselves, thinking, deciding, analyzing, summarizing. There’s a difference between using a calculator because you don’t want to do long division on a random piece of paper and having AI work through your logic for you.

And guess what? Studies draw a clear line between dependence and dulling those critical thinking muscles. One study checked in on 580 university students and found that the ones who used AI more heavily scored lower on critical thinking. They weren’t as good at analyzing or reflecting for themselves. Another study, with 666 people of all ages, found the same link, especially for younger folks.

Here’s why that happens: When AI hands you the answer, you’re not actively thinking anymore. You don’t have to pick apart the evidence, question things, or build your own conclusion. You just accept what’s served up. Researchers call this “cognitive offloading”, by handing mental work to a machine. If you do it on purpose, it’s efficient, as you work through what the AI provides. If you do it without thinking, it chips away at those habits that make you a good thinker. And each time we swap out our own thinking for the machine’s, we lose a little practice at real reasoning.

Cognitive Fatigue: The Hidden Middle Step:

It’s tempting to think letting AI pick up more mental slack just gives your brain a break. Sometimes it does, but sometimes it backfires.

Cognitive fatigue is that feeling when your brain’s tired, trouble focusing, slower to react, not really up for a challenge, and AI dependence adds to this, but in two different ways.

First, there’s cognitive underload. If AI does all the thinking, solving, summarizing, generating ideas, you get passive. Just sitting back, not challenging yourself. Maybe that sounds restful, but brains need to be pushed sometimes. It’s like sitting around all day and then wondering why you’re winded by a few flights of stairs.

Second, there’s an overload of information. AI tools generate a ridiculous amount of content, faster than you can keep up. Sifting through it, deciding what’s trustworthy or worth your time, that’s draining in its own way.

Research shows cognitive fatigue isn’t just a byproduct; it’s a link in the chain between using AI too much and losing your own critical thinking. Heavy AI use leads to fatigue, which then makes it even harder to engage your brain when you need it.

Information Literacy: A Real Defense:

But here’s a twist, not everyone drifts into passivity with AI. Some people have strong information literacy; they’re good at finding, checking, and judging information. These folks don’t just swallow what AI gives them. They poke it, prod it, make sure it makes sense. That’s active thinking in action.

And yes, research backs them up: people with stronger information literacy don’t see as much damage to their critical thinking from using AI. They’re more likely to keep their minds sharp by questioning things, and not just blindly accepting them.

But there’s a catch. Double-checking, cross-referencing, and staying cautious takes effort. Protecting your thinking is demanding. So, the more you work at information literacy, the more at risk you are of mental fatigue. Funny enough, the very people best equipped to question AI’s answers might get burned out by the effort.

The “Google Effect”, that tendency to remember less because we know we can always look things up, was the first clue that technology changes not just what we know, but how we know. AI may be having a similar effect, trading away our reasoning in exchange for speed and convenience. Filters and algorithms are already narrowing what most of us see. At work, leaning more on AI for decisions raises another question: are we still building the judgment you only get from wrestling with tough problems yourself?

This isn’t a call to ditch AI. Used thoughtfully, it’s a genuine booster to your abilities, it frees you up for higher-level work. The real issue is something subtler: when we stop paying attention and let AI replace thinking, not just help with it.

AI keeps getting better at reasoning. The tricky part, and the part we don’t talk about enough, is whether we’re still practicing the skills these machines haven’t learned yet. 

References:

MIT Sloan Management Review. (n.d.). AI gravity: Are you being pulled toward dependency? Here’s how to push back. https://mitsloan.mit.edu/ideas-made-to-matter/ai-gravity-pulling-you-toward-dependency-heres-how-to-push-back

Elsevier. (2025). [Article on artificial intelligence use and cognitive/behavioral effects]. Artificial Intelligence in Education / Cognition Journal. https://www.sciencedirect.com/science/article/pii/S0001691825010388

MDPI. (2025). The relationship between AI usage, information literacy, and cognitive outcomes. Societies, 15(1), 6. https://www.mdpi.com/2075-4698/15/1/6 The Writer's Profile

Jawad Mohammad Mahruz

CSE

BRAC University

Author Bio:

Jawad Mohammad Mahruz is a 20-year-old Bangladeshi writer and Computer Science and Engineering (CSE) student at BRAC University. He is passionate about technology, innovation, and problem-solving, with a keen interest in exploring how emerging technologies can address real-world challenges.