🤖 Are We Becoming Too Dependent on AI?

By Ryan Alexander Wainz | Cybersecurity & AI Advocate

Hi everyone — welcome back to the blog!

I talk about AI a lot. And for the most part, I’m incredibly optimistic about it.

AI can help us learn faster, automate repetitive work, brainstorm ideas, analyze information, write code, improve communication, and solve problems that might have taken hours before.

I use AI myself, and I think learning how to use it effectively is going to be an important skill moving forward.

But lately, I’ve been thinking about another side of this: At what point does using AI to make ourselves better turn into depending on AI to think for us?

That’s a much harder question...

Because I don't think the biggest risk is simply that AI becomes incredibly capable. I think another risk is that we become less capable without it. Let’s talk about it.

 
🤖 When AI Goes From Assistant to Crutch

There’s a big difference between using AI to help you do something and using AI so you don’t have to do it at all.

For example:

✅ Asking AI to explain a difficult concept you don't understand
❌ Asking AI to complete an assignment you never bother learning

✅ Using AI to improve an email you've already written
❌ Becoming unable to write a professional email without it

✅ Using AI to help analyze a problem
❌ Accepting whatever AI tells you without questioning it

That distinction is going to become increasingly important. AI should amplify your abilities. It shouldn't replace your willingness to develop them. The goal should be to become better because you have AI, not helpless whenever you don't.

 
🧠 Are We Losing Critical-Thinking Skills?

This is probably the part that concerns me the most. AI makes getting an answer incredibly easy. Ask a question. Wait 2 seconds max. Get an answer.

Ask it to summarize something. Wait 2 more seconds. Done.

Ask it what decision you should make. It'll probably give you one. (Please always double-check and use your best judgement when it does) 

But sometimes struggling through a problem is exactly how we learn.

Researching different sources, questioning information, making mistakes, changing your mind, and figuring something out yourself all help develop critical-thinking skills.

If AI immediately removes that process every time we encounter something difficult, what happens to those skills?

I don't think using AI automatically makes someone a worse critical thinker.

Actually, I think AI can be an incredible tool for developing critical thinking if you use it correctly.

Challenge its answer.

Ask for opposing viewpoints.

Research what it tells you.

Ask it to explain why. This is way more important and easier than people think.

Compare its response with another source.

AI can help you think.

The danger comes when we let it think for us. You should always be challenging AI chatbots. 

 
🎓 AI in School: Learning Faster or Avoiding Learning?

Education might be where this debate becomes most interesting.

Imagine two students.

Student #1 doesn't understand a math problem, so they ask AI to explain the concept differently, walk through an example, and then try another problem themselves. That's an incredible use of AI. It's essentially an on-demand tutor.

Student #2 copies the homework into AI, gets the answers, submits them, and moves on.

Both students "used AI."

But only one actually learned something.

That's why I don't think the conversation around AI in education should simply be:
"Should students be allowed to use AI?"

A better question might be:
"How do we teach students to use AI without allowing it to replace learning?"

Because AI isn't going away.

Teaching people how to use it responsibly may be far more valuable than pretending they won't use it at all.

 
💼 The Workplace Has the Same Problem

This isn't just happening in schools.

It's happening at work too.

Employees are increasingly using AI to:
- write reports
- summarize meetings
- analyze documents
- create presentations
- write code
- research topics
- draft emails
- make recommendations
And there's nothing inherently wrong with that.

In fact, companies that use AI effectively may become significantly more productive and the research backs this up.

But there's an important question organizations need to start asking:
Does the person using the AI actually understand the work it's producing?

Imagine someone uses AI to generate an important financial analysis, security recommendation, legal document, or piece of code.
- It looks great.
- It sounds professional.
- Everyone assumes it's correct.
- But nobody actually verifies it.

That's where AI stops being a productivity tool and starts becoming a risk.

 
🚨 AI Can Be Very Confident — And Very Wrong

One of the strangest things about modern AI is how confidently it can present incorrect information.

AI systems can sometimes:
- invent facts
- misunderstand context
- provide outdated information
- create nonexistent sources
- oversimplify complicated situations
These are commonly referred to as AI hallucinations.

And that's why one rule I think everyone should remember is:
Confidence does not equal accuracy. Something can sound incredibly professional and still be completely wrong.

That's especially dangerous because AI-generated information often doesn't look questionable.
- There might not be bad grammar.
- There might not be an obvious warning.
- The answer can be beautifully written.

And still be wrong.

That's where human judgment becomes incredibly important!

 
🔐 Why This Matters Even More in Cybersecurity

Cybersecurity is a great example of where blindly trusting AI could become dangerous.

AI can already help security professionals:
- analyze logs
- summarize alerts
- investigate suspicious behavior
- research vulnerabilities
- write scripts
- prioritize risks
Those capabilities are incredibly useful.

But imagine an analyst receives an AI-generated conclusion saying:
"This activity appears benign."

Do they close the alert immediately?
Or do they understand the environment well enough to verify why?

That's the difference.

Cybersecurity professionals still need to understand:
- networks
- systems
- attacker behavior
- risk
- business context
- incident response
Otherwise, we're not really using AI as a security tool.

We're just trusting another system we don't understand.

And in cybersecurity, blind trust is rarely a good strategy.

 
🧠 AI Should Help Build Your Skills

This is how I personally think about AI.

I don't want AI to make me think less.

I want it to help me learn more.

Use it to:
📚 explain something you don't understand
🧠 challenge your assumptions
💻 practice technical skills
📝 improve something you've already created
🔍 explore topics more deeply
💬 practice communicating difficult ideas

One of the coolest things about AI is that you can essentially say:

"I don't understand this. Explain it another way."

And you can keep asking questions until it clicks. That's incredibly powerful. We shouldn't waste that opportunity by only using AI as a shortcut.

 
⚖️ Finding the Right Balance

I'm definitely not advocating that we stop using AI.

Quite the opposite.

I think people should learn how to use it.

AI literacy is going to become increasingly important across almost every industry.

But I think we need a few personal rules:

✅ Use AI to accelerate learning, not avoid it
✅ Verify important information
✅ Understand work before putting your name on it
✅ Continue practicing skills without AI
✅ Question AI when something doesn't seem right
✅ Never outsource your judgment completely

Think of AI like a calculator. Calculators didn't make mathematics useless. They made certain calculations dramatically faster. But we still teach people what numbers mean and how math works.

AI should work the same way.

 
💡 Final Thoughts: Become Better With AI — Not Worse Without It

AI has the potential to make people incredibly capable.

Someone who is curious, knowledgeable, and motivated can now have access to a tool that helps them learn almost anything.

That's exciting.

But convenience always comes with a tradeoff.

If we start outsourcing every difficult thought, every piece of writing, every decision, and every problem to AI, we risk losing some of the skills that made the technology valuable to us in the first place.

So I think the goal for the AI era should be simple:
Use AI enough that it makes you better.

But keep developing yourself enough that you can still think without it. Because the future probably won't belong to people who refuse to use AI. And I don't think it will belong to people who blindly depend on it either.

It will belong to people who understand how to use these tools while still bringing their own judgment, knowledge, curiosity, and critical thinking to the table.

AI should make you more capable.

Not less capable without it.

Thanks for reading, and as always, stay curious out there.

Until next time,
Ryan Alexander Wainz
Cybersecurity Professional | AI Enthusiast | Advocate for Accessible Digital Security