AI Is Brilliant, and That Is Exactly Why You Cannot Stop Learning
TL;DR
Artificial intelligence (AI) tools are genuinely brilliant, and I use them heavily. But there is a quiet danger that has nothing to do with killer robots and everything to do with human laziness: it is easy to let AI take over a task you are perfectly capable of, so completely that your own hands-on sharpness quietly fades, and then be caught out the moment the AI is unavailable. That happened to me, on this very website. The lesson is not “use less AI.” It is “use AI, but keep your hand in on the job it is doing for you.”
- AI is a phenomenal force-multiplier. Use it, without guilt.
- The risk is skill atrophy: delegating a capability you have so completely that it quietly rusts from lack of use.
- Auditing what the AI does is not the same as being able to do it when the AI is gone.
- Automate the task, but keep the understanding, especially for anything you would need in an emergency.
- This pairs with the wider theme of using AI on your own terms.
The full story
What happened
I lean on AI a lot to help run this website. Recently I needed to make a change to it, something had to come down, and for once the AI assistant I normally use was unavailable. No dramatic reason: I had simply run out of usage for the moment.
The task itself was well within my abilities. But I had handed that exact job to the AI so many times that my own hands-on command of the steps had quietly gone rusty. Doing it manually again, with the AI unavailable, I felt like a fish out of water, not because the skill was beyond me, but because I had let it fall out of practice. Understanding the outcome and being sharp enough to execute it cold, I was reminded, are two very different things.
Auditing is not the same as doing
Here is the part that stung. I had not been reckless the whole way along. I audited everything the AI did for me: I read the changes, I checked the results, I understood at a high level what was happening. I told myself that made me safe.
It did not. Watching something do a task, and even understanding it conceptually, is a world away from being able to execute it yourself, cold, under pressure, with no safety net. The exact steps, the right order, the small gotcha that trips you up, you only keep those sharp by doing the thing yourself now and then. I had outsourced not just the work, but the practice that keeps a skill sharp, and it dulled without my noticing.
The sitting-duck problem
This is the real risk of automation, and it is not new. AI has just made it faster and more seductive. Every time you hand a skill over completely, you trade a little independence for convenience. Do that with one task and it is fine. Do it with everything, and you become a sitting duck: perfectly productive right up until the tool is unavailable, and then rusty on things you could once do in your sleep.
It is the same reason pilots still train to fly by hand when the autopilot is excellent, and the same reason a good accountant still understands the maths the software runs. The automation is not the danger. Depending on it so totally that you cannot function without it is.
There is a practical hedge against my exact situation, the tool simply not being there when you reach for it: running a capable AI model locally on your own hardware, so there is always an assistant to fall back on even with no internet or no usage left. It is well worth doing, and it is part of using AI on your own terms rather than being wholly dependent on someone else’s service. But be honest about what it fixes: a local model solves availability, not sharpness. Had I kept the skill sharp, I would not have needed any AI, online or offline, to make that change.
Use AI, but do not switch your brain off
Let me be clear, because it would be easy to read this as anti-AI: the lesson is emphatically not “use less AI.” AI is one of the most powerful tools I have ever worked with, and I will keep using it heavily. It genuinely multiplies what one person can do, and walking away from that would be daft.
The lesson is narrower and more important: delegate the work, not the understanding. Let the AI do the job, absolutely, but every so often, do the job by hand yourself, enough to keep the process sharp so you could step in if it vanished tomorrow. For the things that matter, stay fluent in doing them yourself.
So that is what I did after that wake-up call. I sat down and got the exact process back under my fingers, properly, and wrote myself a plain, no-nonsense checklist so I am never caught out again. Ironically, the AI helped me write it, and that is completely fine. The difference is that now I own the steps again, and the checklist is a backup, not a crutch.
The takeaway
AI is brilliant. Use it. But do not let it quietly hollow out your own skills. Keep your hand in on the things you have delegated, above all the ones you would need in an emergency. Automate the task; keep the knowledge. Use AI, but never let the skills underneath it go rusty.
Related
- AI on your terms: governance, sovereignty, and offline LLMs
- Offline AI: running capable models on your own hardware
Written by Tom Langston, IT Infrastructure and Cybersecurity.