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Do What I Did Before I Had the Tools, Then Do What I Do With Them

TL;DR: The argument is do what I did before I had the tools, and then do what I do with them. That’s awkward to deliver, because the tools arrived before most people had the chance to build the foundation, and the tools are very good at making the foundation feel unnecessary.

This started as an essay and kept getting longer, because the thing I was noticing kept connecting to other things. The history of how technologies change cognition. The economics of AI development and who it serves. The education system that had already been moving in this direction long before any of these tools existed. What I was noticing was simple enough to state in a sentence. People are outsourcing the one thing they should never outsource.

Most of the blame lands on the companies selling these tools as a way to skip the thinking. AI is a tool.

Use it like one and it’ll save you hours every week. Let it do your reasoning and you’ll lose the ability to tell whether anything it hands you is true.

What is the one thing AI cannot replace?

The reasoning itself. The part where you decide what’s true and what matters.

Everything else is negotiable. You can hand over drafting. You can hand over assembling research. Formatting, summarizing, restructuring, all of it can go to a machine and the result is usually fine and often better.

People are outsourcing the one thing they should never outsource.

What can’t go is the judgment about whether the output is right, because that judgment is the thing everything else depends on, and it exists only in people who have exercised it. The trouble is that a tool which produces a plausible answer removes the occasion for exercising it. Not deliberately. It simply supplies the thing that used to require the work, and the work was where the capacity came from.

Why is the AI-assisted writing argument awkward to make?

Because of the sequence, and because I’m on the wrong side of it to be comfortable.

Forget do as I do. The argument is: do what I did before I had the tools, and then do what I do with them.

I spent decades building judgment without any of this. Thirty-three years in enterprise technology where being wrong had consequences and there was nothing to ask. By the time these tools arrived I had a foundation, and I use them constantly, and I can tell when the output is wrong because I built the ability to tell somewhere else.

That instruction is awkward to deliver now that the tools arrived before most people had the chance to develop the foundation. It’s not advice anybody can act on retrospectively, and I’m aware of how convenient it is for me that the sequence worked out in my favor.

Is the argument about AI replacing skills new?

No, and people who treat this as a story about a technology miss it.

The education system was already moving in this direction. The economics of the tools reward engagement instead of capability. The long erosion was underway well before anything could generate an essay, and the tools sped up a process that was already running.

Which means the fix isn’t a policy about a technology. If the underlying problem is that judgment develops through difficulty and we’ve been systematically removing difficulty for forty years, then banning a chatbot addresses the last few years of a much longer trend.

I blame the institutions more than the students. Schools spent years grading the finished answer and paying little attention to whether anybody could reason their way to it, and then acted shocked when a machine showed up that produces finished answers on demand.

What did the pandemic show writers?

Something small and clarifying, which I’ve thought about since.

During the pandemic I watched two neighbors in their early twenties work out that the government relief payments meant they could take a year off. They got paid to do nothing, and they took the deal.

I told them they should be doing something with the time. I wasn’t being moral about it. My concern was that a year is long enough to lose the habit of applying yourself to something difficult, and the habit is harder to rebuild than to keep.

They were behaving rationally. Anybody would. That’s what makes it a useful example instead of a complaint about young people: the incentive was there, and the response was reasonable, and the cost was invisible at the time.

What should a writer do now?

It depends where you already are, and most advice on this refuses to admit that.

If you have the foundation, use the tools freely and check their work, because you can. If you don’t, the sequence isn’t available to you and pretending otherwise helps nobody. What’s available is deliberately doing some things the hard way, on purpose because the difficulty is the point. That’s a strange instruction in a world optimized for the opposite, and it’s the only one I have that survives examination.

The book on this: The Death of Thinking is 29 chapters on what happens to judgment when the thinking gets handed over, and it’s a companion volume arguing the other side of the same question.

My take

Learn the foundation the hard way before you lean on the tools. If you already have it, use AI freely and check its work, because you can tell when it’s wrong. If you don’t, do some things the slow way on purpose. The difficulty is the training. Hand the difficult work to something else for a year and you’ll lose the habit, and rebuilding it takes longer than keeping it would have.

How should you use AI without losing your own reasoning?

Do the reasoning before you ask. Reach a view, then use the tool, then compare. The comparison is where the learning is.

Notice when you can’t tell whether the output is right. That’s the signal, and it’s much more useful than any general worry about AI.

Keep something you do entirely unaided. One domain where you never reach for help, purely to keep the capacity alive.

Be suspicious of how good it feels. Fluent output produces the sensation of understanding, and the sensation arrives whether or not the understanding does.

Stop treating this as a technology question. It’s a question about which difficulties are worth keeping, and it predates every tool involved.

Five habits for using AI without losing your reasoning
Habit What it means
Do the reasoning before you ask Reach a view, use the tool, then compare. The comparison is where the learning is.
Notice when you can’t tell if it’s right That’s the signal, and it’s more useful than any general worry about AI.
Keep something you do unaided One domain where you never reach for help, to keep the capacity alive.
Be suspicious of how good it feels Fluent output produces the sensation of understanding whether or not the understanding arrives.
Stop treating it as a technology question It’s a question about which difficulties are worth keeping.

I wrote a companion volume arguing the other side, because the case for these tools is real and I use them daily. Both books are true at once, which is uncomfortable and, I think, correct.

The pitch that you can skip the foundation entirely is a scam. Anyone selling a tool on the promise that you’ll never need to think again is selling you a dependency, and you’ll pay for it the first time the tool is wrong and you can’t tell.

From the author
The Death of Thinking by Richard Lowe

The Death of Thinking
Foundations erode one reasonable decision at a time. The Death of Thinking covers what outsourcing judgment costs, and why the writer facing a blank page feels the loss only when the skill is needed.

Frequently Asked Questions

Does using AI make people worse at thinking?
It can, and the mechanism is specific. Handing over the step where judgment develops means the judgment doesn’t develop. Somebody who built the skill first and then used the tool is in a completely different position from somebody who never built it.
What should you never outsource to AI?
The reasoning itself. Not the drafting, not the research assembly, not the formatting. The part where you decide what’s true and what matters, because that’s the capacity everything else depends on and it only grows by being used.
Should you learn to write without AI first?
No. I use these tools daily. The argument is about sequence instead of abstinence, and about being honest that the sequence I had available isn’t the sequence most people now get.
Why is it hard to learn a skill before using AI for it?
Because it asks people to do something the tools have made optional, before using the tools, at a point when the tools are already there. It’s advice that was easy to follow in 1990 and is difficult now for reasons that have nothing to do with willpower.
Should students learn a skill before using AI for it?
Yes, and sharply, because the education system was already moving in this direction before the tools arrived. A student handed an answer generator before developing judgment is in the worst version of this problem, and it’s not their fault.

About the Author
Richard Lowe, professional ghostwriter

Richard Lowe is a professional ghostwriter and author with 113+ books authored and 54+ ghostwritten. Before writing full time he spent 33 years in enterprise technology, including 20 years as Director of Computer Operations and Technical Services at Trader Joe's. He writes nonfiction, fiction and memoir, and works with executives and experts on books that build authority.

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Disclaimer

The views and opinions expressed in this blog post are solely those of Richard Lowe and are based on personal experience and research. This content is for informational purposes only and should not be construed as professional legal, financial, accounting, or business advice. Always consult with qualified professionals before making important business or legal decisions. Richard Lowe is not a lawyer, accountant, or licensed professional advisor, and this content does not establish any professional relationship.

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