The handiman who works for my family quite often is not super technical. He was troubleshooting a mini split for me and I walked out to see him vocally chatting with chat gpt going through error codes, handless.

He found a use, and you'd be wrong to assume "trades" are safe from the chatbot. That doesn't mean his job is going away, but maybe he can do more solo jobs and doesn't need a helper all the time. Or maybe he does his jobs faster. Who knows!

People don't need to know model names to find a use.

One in eight people globally use an AI app, not just something that happens to include an ai feature like Google search, on a regular basis.

There are definitely still going to be pockets totally not touching it, and that will probably continue for a long time, but its very much soaking into global society.

https://datareportal.com/reports/digital-2026-global-overview-report

https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_by_individuals

https://www.microsoft.com/en-us/corporate-responsibility/topics/ai-economy-institute/reports/global-ai-diffusion-report/

None of that means you should be using it, just pointing out that your immediate social group may not be an accurate reflection of reality.

Like as a counter anecdote - my gran has used it - and i feel like when old people get to a tech its approaching ubiquity, Facebook being the primary example I have in mind.

To take it a step further, I work adjacent to OEM manufacturers for industrial control systems. Half of our customers are running windows 98.

Hah! I'd actually consider industrial automation to be one of the more-likely applications for LLMs. Not necessarily LLMs driving the system, but outputting software to drive PLCs and similar. My understanding from past reading is that industrial automation is one of the principal things that China is interested in using LLMs for.

searches

https://faxiangongchang.com/en/reports/china-industrial-ai-agent-2026

What AI Agents in Factories Are Actually Doing

Down on the shop floor, industrial AI agents are currently running most solidly in four types of scenarios.

Quality inspection. Vision large models are replacing traditional rule-based machine vision. Among the 12 lighthouse factories newly added by the World Economic Forum in September 2025, AI and generative AI use cases account for up to 50%, with demonstration factories reporting results including a 41% reduction in product defect rates.

Process parameter optimization. In the Baosteel hot-rolling line case disclosed by Huawei Cloud, the Huawei Pangu large model improved finishing-mill width-spread prediction accuracy by more than 5% and raised yield by 0.5%, which by its own account translates into more than 90 million yuan in additional annual revenue. It should be noted that such figures are all vendor-disclosed and still lack independent third-party verification, but directionally they are consistent with public data from lighthouse factories.

Engineering and maintenance assistance. Siemens Industrial Copilot improves the efficiency of generating programmable logic controller code by roughly 60%, and pilots of its maintenance edition show an average 25% saving in reactive maintenance time; the product won the Hermes Award at Hannover Messe 2025. The factory operations agent Microsoft launched at Hannover Messe 2025 lets employees ask in natural language, "Why did Line 3 stop yesterday?"

Scheduling and order management. This is the entry point closest to AI agents for small and mid-sized factories. An AI tool aimed at small and mid-sized factories has disclosed a set of figures: after adopting AI scheduling and order tracking, factories' average order delay rate fell from 25% to within 5%; one factory in Dongguan cut its order-splitting preparation time by 60%; and an annual fee of about 10,000 yuan corresponded to a return of roughly 1:12. These are again vendor figures, but they touch on an important fact—the value of AI agents for small and mid-sized factories lies first not in sophisticated process optimization, but in freeing up the labor tied down by high-frequency, tedious work such as order tracking and scheduling.

They mention PLC code generation, but I guess some other areas too.

My wife first heard about LLMs this year

She's an engineer

What

she doesn't know anyone who has used one

How would she know if she's only just found out herself?

These things are heavily used in engineering

In addition, the tradesmen who have done work on our place lately have all been using AI. One took photos during quotation and used AI to show what it'll look like when they are done. One used it for invoicing. One used it to find the right parts. I'd argue your bubble in the world is an exception rather than the rule