I still remember the first time I used AI during the “boom” phase, hoping to polish my notoriously blunt writing for college. It felt magical to watch a machine transform my horrible scientific papers into something worthy of a Nobel Prize.

Back then, I never imagined I’d soon be using a tool like ChatGPT to refine half-baked code snippets for Old School RuneScape botting — code that I mostly hacked together from StackOverflow — but soon I found myself making more complex scripts.

Granted, early versions of ChatGPT were a nightmare with large inputs: I’d feed an entire chapter of my novel, and it would butcher the text — chop it down and alter the tone. It would also give me tiny pieces of code fragments with zero context.People warned me I’d never learn to fix my own code if I relied on AI too much, but ironically, I was already winging it with random StackOverflow advice.

At least ChatGPT made me think about how to structure an API call, so in a twisted way, it helped me grow more than it stifled me.

Of course, skeptics — often from the political right — keep scoffing at AI like it’s some futuristic boogeyman. Meanwhile, I credit it with helping me build a functional website, run multiple businesses from my living room, manage finances, and achieve a seven-figure investment portfolio.

Hate it or love it, the reality is if you’re not embracing AI’s potential, you’ll be the one left behind — displaced by those who recognize that a machine’s lazy code suggestions can still open new doors, provided you know what to do with them.

Allow me to myth-bust a couple of these claims.

Myth #1: “AI Will Immediately Replace All Jobs”

It’s true AI automates boring, repetitive tasks — like sorting invoices or scanning for errors in a codebase. But a full-blown takeover of every profession? Nah. I use AI for day trading, and sure, it doubled my average gains, but I’m still the final decision-maker, analyzing the emotional side of the market that no model can quite grasp. Machines handle patterns; humans handle complexity and nuance.

Myth #2: “AI Costs a Fortune and Needs Huge Teams”

Yes, training massive models can make your wallet cry. But guess what? Companies pay for it so there must be value in it. Also, a lot of companies just use models someone else trained such as Llama. Running them isn’t that different from any other modern data platform. RAM is the biggest resource. I created a Discord bot that predicts stock price changes, and I run it on a mini PC that cost me $300. It’s way cheaper and simpler than you’d imagine.

Myth #3: “AI Isn’t Useful Outside of Tech”

Folks say AI only matters if you’re a coder or big-shot engineer. Total nonsense. I’ve published several books with AI-assisted editing: I fed the language model my writing samples, and it helped refine my style. Total costs of editing: A ChatGPT subscription. Whether it’s a small retailer analyzing customer trends or a teacher automating attendance logs, AI can streamline tasks in almost any field. You don’t need a PhD in Computer Science — just a little curiosity and a willingness to tinker.

Myth #4: “AI Can’t ‘Think’”

We get it — AI isn’t self-aware (as far as we know). But “thinking” doesn’t just mean having feelings or a soul. It can be about processing complex data in ways that mimic human reasoning. Neural networks, the basis for AI models, simulate how our brains transmit electrical signals, making the gap between algorithmic logic and human intuition smaller by the day. That’s not to say AI is alive, but it’s definitely not the mindless, one-track machine some people believe it is.

Myth #5: “AI Is Just a Temporary Trend”

AI’s roots date back decades (looking at you, Turing), but hardware, libraries, code scalability, and data bottlenecks kept it from going mainstream. Now, with lightning-fast GPUs and oceans of data, advanced language models are here to stay. They evolve so quickly it’s almost dizzying — like a smartphone update on steroids — so calling AI a “fad” is like calling the internet a “phase” in the mid-’90s.

Hop in or get left behind.

Maybe you think you need a full-time AI whisperer to do anything meaningful with this technology, but you really don’t. Sure, AI won’t solve every problem, but if you let it handle the repetitive grind, the tasks that require expertise, and the polishing of your ideas, you’ll free yourself to do the stuff that actually excites you — and maybe even rake in some extra cash on the side.

The question is: Do you want to keep wringing your hands over “what if” scenarios, or do you want to see how far this tool can take you?

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