The boiling frog didn’t think it was a tech person either.
Why “I’ll deal with it later” is already later.
You know the story. A frog dropped into boiling water jumps straight out. A frog placed in cool water that heats gradually — doesn’t notice until it’s too late.
I’m not here to talk about frogs.
I’m here to talk about you. Specifically, the version of you that knows enough about technology to feel comfortable. You have a smartphone. You use Google like a pro. You’ve probably even tried one of the AI tools — typed something in, got something back, concluded it was interesting but not urgent.
You’re not scared of AI. You’re just not in a hurry.
That’s the warm water, right there.
The quietly comfortable are the most at risk
The people I worry about least are the ones who are frightened. Frightened people are paying attention. They’re asking questions. They’re trying things, even reluctantly. Fear, it turns out, is a reasonable motivator.
The people I think about most are the ones who feel fine. The ones who have mentally filed AI under “will revisit when relevant” — like a notification they’ve swiped away. Capable, intelligent, experienced people who have survived every previous wave of technological change and quietly concluded this one will be no different.
They’re not wrong that they’ve survived change before. They’re wrong about the pace of this one.
In change management, there’s a concept called the late adopter — the person who waits until something is proven, mainstream, and unavoidable before engaging with it. Historically, late adopters have been fine. They miss the awkward early phase and arrive when things work properly.
Late adopter is too kind a term for what’s happening now. Late adopters wait. What I’m describing is something more like standing still while the ground moves.
What’s actually changed while you weren’t watching
The colleagues who used to ask for your help composing difficult emails are now drafting them in thirty seconds and arriving with a polished version to show you. The junior staff member who six months ago couldn’t write a business case is now producing structured, well-argued documents. The person across from you in the meeting who always struggled to synthesise information is suddenly synthesising beautifully.
They’re not smarter. They’re having better conversations.
And while you’ve been meaning to look into it properly, the tools have become faster, cheaper, more capable, and more integrated into the software you already use every day. The water has been heating for a while now.
The question is no longer “should I learn about AI?” It’s “how far behind do I want to be when I finally do?”
Here’s the part nobody tells you
You don’t need to understand how it works.
I want to say that again, because it’s the thing that trips most capable people up. They assume that to use a powerful tool, you need to understand its mechanisms. That there’s a learning curve involving technical knowledge, special syntax, a certification of some kind.
There isn’t. There’s just a conversation.
That’s it. That’s the entire entry point. You talk to it the way you’d talk to a very knowledgeable, very patient colleague who happens to have read everything ever written and remembers all of it. You describe what you need. You ask follow-up questions. You push back when it gets something wrong. You refine.
It responds to plain language. Your language. The vocabulary you already have.
A quick example of what that actually looks like
Recently, I sat down and described my courtyard to an AI. Not a quick label — a proper description. The L-shape of the space. The long arm open to the southern Melbourne sky. The shelving along the fence packed with cacti and succulents in everything from terracotta pots to old baking tins. The glimpse of the entertaining area around the corner. The BBQ, the dining table, the tropical wall garden catching the light.
I typed it out the way I’d describe it to a friend who’d never been there.
What came back took my breath away. A photorealistic image of my courtyard — warm timber fencing, flowering cacti, strings of pearls draping over shelf edges, the BBQ just visible in the shaded arm of the L. Every detail I’d mentioned, rendered.
No technical knowledge required. No prompt engineering course. Just a description, spoken in plain English, the way any of us would tell a story.
That’s what’s available to you right now. Today. For free.
So what do you actually do?
You pick one thing. Just one.
Something you do regularly that takes longer than it should or something that you don’t know where to start.
A report you write every month.
An email you dread composing.
A question you keep meaning to research but never quite get to.
A document you need to summarise before a meeting.
A letter to the Owners Corporation about the neighbour’s messy back yard.
A missive to the School Principal because your daughter was unfairly tarred with the same brush as an unruly classmate.
A poster advertising the Op Shop’s Monday sale.
A brochure for your yard sale to pop in letter boxes.
You open a conversation with an AI — Claude, ChatGPT, Gemini, any of them — and you describe what you need. In your own words. The way you’d ask a capable colleague.
That’s the whole instruction. That’s the learning curve.
The frog metaphor ends here, because unlike the frog, you have the option to notice the temperature and step out of the pot entirely — into a cooler, calmer place where you’re working with the current instead of being swept along by it.
You don’t need to become a tech person. You just need to be willing to have a conversation.
And if you’ve been reading this series — you’re already doing that.
Sandi is a Melbourne-based problem-solver, crisis-averter, and translator of the technical into the human. She spent decades being the person everyone called when something was broken, confusing, or just needed explaining properly — earning a reputation that preceded her wherever she went. Now she’s channelling that same instinct into AI: making it accessible, practical, and genuinely useful for people who think it isn’t for them.