AI 101 for the Job Site: What is it, How does it work, and Why should you care?
Blog / AI 101
If you’ve heard the term “AI” or “Generative AI” and thought it was just another tech fad like 3D TVs or Bitcoin, you’re not alone. For people who spend their days solving real-world, physical problems, “Artificial Intelligence” can feel incredibly disconnected from reality.
But AI is currently undergoing a “Power Tool Moment.” Just like the industry shifted from hand saws to power saws, or from paper maps to GPS, AI is simply a new way to speed up the parts of the job that don’t require a hammer or a wrench. Here is a plain-English breakdown of what is actually happening under the hood.
1. What exactly is AI? (The “Pattern” Machine)
At its simplest, Artificial Intelligence is software that is very, very good at pattern recognition.
Think about an experienced tradie. You can walk onto a site, hear a specific rattle in a compressor, or see a certain type of corrosion on a pipe, and you know what the problem is before you even open your bag. You aren’t calculating it; your brain is recognising a pattern based on 20 years of experience.
AI works the same way. It has been fed millions of images, manuals, and conversations. It doesn’t know things the way a human does, but it recognises patterns of how information is supposed to look and act.
2. How does it “Learn”? (The Training Phase)
You’ll often hear tech people talk about “Training Data.” For a tradie, think of this as the world’s biggest apprenticeship. Developers feed an AI a massive library of information, from the internet to specific technical codes. The AI scans the data to learn relationships between words and images.
- It learns that the word “circuit” is usually followed by “breaker.”
- It learns that a photo of red dirt often means the Australian outback.
- It learns the tone of a professional quote versus a casual text.
3. What is “Generative AI”? (The Creator)
This is the type of AI people are talking about most today (like ChatGPT or Gemini). Older AI was predictive — it could tell you if it rained yesterday or predict if it would rain tomorrow. Generative AI creates new things.
- Google Search: You ask a question and it gives you a list of websites. It’s a filing cabinet.
- Generative AI: You ask a question and it reads the cabinet for you, then writes a unique response.
It’s called “generative” because it generates new text, images, or even code from scratch based on the patterns it learned during training.
4. Why does it sometimes get things wrong? (The “Hallucination” Problem)
AI can hallucinate or make things up because it’s essentially a high-speed guessing machine. When you ask a Generative AI a question, it’s predicting the next most likely word in a sentence. Most of the time it’s right, but sometimes it follows a pattern that doesn’t exist in reality.
This is why grounding is important. In the trade world, we use specialised libraries to force the AI to look at a specific manual or Australian Standard rather than guessing from the general internet. It’s the difference between asking a random person on the street versus asking a qualified inspector.
5. Why is this useful for tradies?
AI is a tool for mental load:
- The Technical Load: Find code clauses instantly without memorising every line.
- The Admin Load: Draft quotes, emails, and logs with the right professional tone.
- The Troubleshooting Load: Use it as a sounding board to find the third option you might have missed.
The Bottom Line
AI isn’t a “smart brain” that’s going to take over the world. It’s a high-speed pattern matcher. It handles the boring stuff — searching for specs, writing emails, organising logs — so you can stay on the tools. It doesn’t replace your license or experience. It makes sure you have the best possible information in your pocket.