AI: Fear It, Fight It, or Embrace It?

AI is becoming an ever-growing part of our lives, and people are split on how to react. Should we fear the change, accelerate it, or take a laissez-faire approach and let things unfold on their own?

If history tells us anything, it’s that technological shifts always spark backlash.

Big Data Parallels: We’ve Seen This Before

Around ten years ago, Big Data triggered widespread panic. People feared we were entering an Orwellian surveillance dystopia, where corporations and governments would track everything we did. In reality, the core purpose of Big Data—at least in marketing—was to help companies understand people better and personalize experiences.

Technology changes, but adaptation is timeless—just like the cities that have evolved over centuries.

People weren’t afraid of data itself. They were afraid of how it would be mismanaged or weaponized against them.

Now, a decade later, Big Data has seeped into our daily lives through dynamic content recommendations, personalized ads, and smarter automation. Most of us don’t even notice it anymore—we’ve accepted it because it makes life more convenient.

AI is following a similar pattern. The core ideas behind AI aren’t new, but now that they’re being applied at scale, we’re seeing a justified resurgence of fear, skepticism, and resistance.

Experimentation Is the Only Way to Understand AI

The best way to deal with new technology isn’t overanalyzing it—it’s using it.

AI breakthroughs are happening faster than we can process, and there are entire areas of AI we haven’t even explored yet—especially in niche industries. If you want to understand its potential, you have to experiment with it yourself.

I could give you a list of top ten AI tools to try, but honestly? That’s not the point. The real shift is in mindset.

• Instead of fearing AI, ask what it can do for you.

• Instead of assuming AI is all hype, test its limits yourself.

• Instead of waiting for someone else to tell you how to use it, figure it out through trial and error.

The more time you spend actively working with AI, the better you’ll understand its strengths, weaknesses, and quirks.

How should you approach AI? Embrace it, test its limits, and learn through experimentation.

AI Needs Guidance—Like an Intern, Not an Oracle

People often get discouraged when AI doesn’t instantly deliver perfect results. That’s because AI isn’t magic—it’s a tool. And like any tool, it works best with the right instructions.

Think of AI like an intern:

• It’s fast, but it needs clear direction.

• If you don’t like the output, you refine the request until it gets it right.

• The better you communicate, the better the results.

The mistake many people make is expecting AI to work flawlessly from the first try. But like training an intern, the more precise you are with instructions and feedback, the better AI can assist you.

We’re Living in an Age of Exponential Growth

While traditional Moore’s Law scaling has slowed, AI-driven advances in computing are still accelerating. Specialized chips, quantum computing research, and AI-native hardware are allowing computational power to increase in ways Moore’s Law never predicted.

AI is breaking past Moore’s Law—computing power is evolving faster than ever.

This means we’re living in an era where technological progress isn’t linear—it’s exponential. The speed of AI improvements, model iterations, and breakthroughs in automation will only get faster.

That’s why the worst thing you can do is ignore it.

You don’t need to become an AI engineer. But you do need to stay ahead of the curve.

Final Takeaways

✅ AI isn’t the first disruptive technology, and it won’t be the last.

✅ The best way to understand AI is to experiment with it yourself.

✅ AI requires guidance—it won’t replace thinking, but it can enhance execution.

✅ Computing power is evolving beyond Moore’s Law, and AI will only get faster.

✅ You don’t have to fear AI, but you do have to adapt.

I, for one, welcome our new AI overlords.