AI Is Getting Better at Thinking. Are We Getting Worse at Thinking?

AI Is Getting Better at Thinking. Are We Getting Worse at Thinking?

If you’ve read the news lately, you’ve probably seen headlines like:

“AI Passes Legal Exam,” “AI Beats Doctors at Diagnosing Disease,” or “AI Solves Complex Math Problems.”

It can feel like artificial intelligence is becoming smarter by the day. But at the same time, many of us are struggling to remember phone numbers, focusing on a book for more than ten minutes, or making decisions without checking our phones first.

So here’s the big question:

If AI is getting better at thinking, are we getting worse at it?

It’s a fair question. And the answer is more interesting than a simple yes or no.

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The Curious Case of “Thinking” Machines

First, let’s clear something up. When people say “AI is thinking,” they don’t mean it the way humans do.

AI doesn’t feel curiosity, doubt, or excitement. It doesn’t “wonder” about ideas. Instead, modern AI tools are trained on massive amounts of data. They learn patterns from millions of books, articles, conversations, and images. When you ask a question, the AI predicts the most useful answer based on patterns it has learned.

That’s not thinking in the human sense. It’s more like an incredibly fast pattern-matching machine. But it looks like thinking. And it can produce results that seem smarter than what many humans produce on a bad day.

Still, the effect is real: AI can now draft emails, write code, summarize research, and even argue a point. It can do in seconds what might take us hours. And that changes how we use our own brains.

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What “Better Thinking” by AI Actually Means

Here are a few things AI is genuinely good at today:

• Processing large amounts of information quickly

AI can read an entire textbook in seconds and summarise the key points.

• Finding patterns humans might miss

In medical imaging, for example, AI can spot tiny changes in scans that the human eye might overlook.

• Handling repetitive mental tasks

Sorting data, writing standard emails, and organising schedules are now easy for AI.

• Generating new content

AI can write poems, brainstorm ideas, and even suggest solutions to problems—sometimes in surprising ways.

This is powerful. AI can be like a brilliant personal assistant that works 24/7. But there’s a hidden cost. When we rely on AI for more of our thinking, we may start using our own brains less.

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Are We Really Getting Worse at Thinking?

Not exactly. But there are worrying signs.

Think about how often you do these things:

• Do you remember important phone numbers?
• Do you know the way to a friend’s house without using GPS?
• Do you try to solve a problem before Google?
• Do you read long articles without skimming?
• Do you write a message without using autocorrect or AI suggestions?

If you answered “no” to many of these, you’re not alone. Most of us are outsourcing parts of our memory and decision-making to technology. This is sometimes called cognitive offloading.

Cognitive offloading isn’t necessarily bad. In fact, it’s natural. We’ve been using tools like calendars, maps, and calculators for centuries. The problem is when we offload so much that we lose the ability to think deeply on our own.

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The Automation Bias

There’s a name for our growing habit of trusting machines too much: automation bias.

Automation bias happens when we follow AI suggestions without questioning them. We assume the AI must be right. We stop checking facts. We stop using our own judgment.

Here’s a simple example:

Imagine you’re writing an important email. Your email app suggests a sentence. You accept it without thinking because it sounds professional. But maybe it doesn’t say what you actually mean. You didn’t catch the mistake because you trusted the machine more than yourself.

This happens with small things and big things. People have followed GPS directions straight into rivers. People have trusted AI chatbots for medical advice and received dangerous answers. The AI is not trying to hurt us. But when we stop thinking critically, we become vulnerable.

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Signs We Might Be Losing Mental Muscles

Let’s be honest about some habits many of us have developed:

• We google instead of remembering

Why try to remember a fact when your phone knows it instantly? The problem is that this weakens our memory. Studies show that when people expect to have access to information later, they remember it less.

• We skim instead of read

Long-form content feels like a chore. We scroll, scan, and jump. Deep reading requires patience, but it’s one of the best ways to build focus and understanding.

• We let AI choose for us

Netflix picks our movies. Spotify picks our music. AI writes our dating profiles. We’re giving away small daily choices, and slowly we lose a sense of our own preferences.

• We avoid boredom

When we’re waiting in line, we instantly check our feed. But boredom can be a creative trigger. It’s when our minds wander and make new connections. If we always fill the silence with AI-generated content, we miss out on our own thoughts.

• We prefer easy answers over real understanding

If a chatbot gives a confident answer, we often accept it. But real thinking involves asking new questions, doubting, and digging deeper.

These habits don’t mean humans are getting “dumber.” But they mean we’re using different skills—and the skills we don’t use may weaken over time.

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The Brain as a Muscle

There’s an old saying: “If you don’t use it, you lose it.”

Our brains are not exactly muscles. But they do follow a similar rule. Neural connections grow stronger when we use them. When we stop exercising a skill, those connections can fade.

For example:

• If you stop doing mental math, numbers feel harder.
• If you stop memorising things, your memory gets lazier.
• If you stop writing by hand, spelling and sentence construction can feel clumsy.
• If you stop focusing on a single task, your concentration shortens.

This doesn’t mean we should stop using technology. That would be silly—and impossible. AI is a helpful tool, and we should use it. The key is to use it as a thinking partner, not a thinking replacement.

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How to Think in the Age of AI

The good news is that we can train ourselves to think better, even while using smart machines. Here are some simple, practical tips:

• Ask questions before asking AI

When you face a problem, give yourself one minute to think about it first. What do you already know? What are some possible answers? Then use AI as a second opinion, not a first responder.

• Use AI for starting points, not finished work

Let AI brainstorm ideas with you. But don’t copy its output. Rewrite, reshape, and make it yours. That’s where real thinking happens.

• Turn off autocomplete sometimes

Write a whole message or email without letting AI suggest the next word. It’s a small act, but it strengthens your voice and decision-making.

• Read long things on purpose

Try a long article, a chapter of a book, or an essay. No speed reading. No skimming. Just read and think about what you’re reading.

• Practice recalling before checking

Can’t remember a fact? Try to guess first. Try to remember where you heard it. Then check. This improves memory and confidence.

• Schedule time for boredom

Go on a walk without your phone. Sit in a waiting room without scrolling. Let your mind wander. You might be surprised at what you think of.

• Question AI answers

Ask: Where did this come from? Is this true? Does this make sense? AI is not always right. In fact, it sometimes makes confident mistakes. Your critical thinking is the best safety net.

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Conclusion: Think With AI, Not Instead of AI

So, are we getting worse at thinking?

Not necessarily. But we are becoming more dependent on machines that think for us. And if we keep leaning on AI for every small mental task, we risk losing some of our own ability.

The good news? We’re still in control. AI can be a wonderful tool. It can help us become more creative, more productive, and more informed. But only if we keep our minds active.

Think of AI like a calculator. A calculator can do math faster than any human. But if you never learn basic math, you can’t tell whether the calculator’s answer is right. The same is true for AI. If we stop thinking, we lose the ability to judge AI’s answers.

So let’s use AI. Let’s be grateful for it. But let’s also keep asking questions, making mistakes, getting bored, and thinking for ourselves.

Because the goal isn’t to compete with machines. The goal is to stay human.

AI Is Getting Better at Thinking. Are We Getting Worse at Thinking? If you’ve read the news lately, you’ve probably seen headlines like: “AI Passes Legal Exam,” “AI Beats Doctors at Diagnosing Disease,” or “AI Solves Complex Math Problems.” It can feel like artificial intelligence is becoming smarter by the day. But at the same…