Entering the age of the toolmaker

Valuing the enabling professions

Once on a family holiday we visited what the local tourism map called an “artisan furniture maker.”

His workshop was full of bespoke work. He answered questions while continuing to shape a spectacular piece; a large round table, fusing a solid core fashioned from a tree stump through a single ring from an ancient tree, hollow in the middle. He explained the unique qualities of marri and jarrah in a way that made sense even to someone who’d never held a chisel. A previous table, he mentioned without ceremony, had made its way to a NASA boardroom.

I was enthralled.

What I didn’t notice at the time, and what I wouldn’t understand the value of until much later, were the jigs. Frames and guides clamped to benches, scattered across the workshop. Hand-built tools for making other tools work precisely. Not the product. Not even part of the product. The invisible infrastructure that made his unique work possible.

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There has always been a class of professional whose entire value is prior to the visible work. The structural engineer behind the architect’s drawing. The larder cook who preps the mise en place before the head chef arrives. The session musician who tunes everyone else’s ears before the recording begins.

We don’t have a good collective noun for them, but enabling professions, a term borrowed from healthcare, is probably the closest. It describes the disciplines that make clinical work possible without performing it directly. It’s a useful frame, even if it undersells what’s actually happening.

What these people share isn’t a job description. It’s a relationship to output. They don’t produce the thing. They produce the conditions for the thing. They solve the setup problem so thoroughly that execution becomes almost inevitable.

The jig doesn’t cut the wood. It makes the cut repeatable, precise, transferable to anyone at the bench, regardless of how steady their hand is, how much experience they have, how much they’ve slept.

What’s interesting is how consistently this work gets misread. We tend to value what we can see completed; the table, the building, or the performance. The enabling professional learns early that credit flows toward output, not toward conditions. Most of them make their peace with it.

But that’s a feature of a particular economy, not a law of nature.

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For most of the industrial era, the competitive advantage was in execution. Whoever could produce the output faster, cheaper, at greater scale, won. The enabling professional was valuable but subordinate. Infrastructure serves production. That was the hierarchy.

Generative AI has quietly inverted it.

When the execution layer is readily available to everyone - when the model can write the brief, generate the design, produce the first draft, synthesise the research - the scarce thing is no longer the output. It’s the frame the output operates within. The quality of the conditions. The precision of the setup.

A language model is only as good as the problem it’s been given. The prompt is only as good as the thinking behind it. The thinking is only as good as the person who understood the situation well enough to structure it correctly in the first place. In an environment where everyone has access to the generative layer, that work is no longer invisible infrastructure. It’s the primary differentiator.

This is the jig maker’s moment.

Not because AI can’t replicate craft. The jig was never about craft in the narrow sense; it was about understanding the problem deeply enough to remove the variables before production begins. That kind of understanding is situational, relational and accumulated. It doesn’t transfer by prompt. It transfers by proximity, through someone who has sat at enough different benches to know what makes each one particular.

The industrial era rewarded volume. The future of work will reward precision of conditions. These are not the same skill set, and they do not belong to the same kind of person.

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When execution was hard, the person who could deliver got the attention. Skill in production looked like expertise because production was where the difficulty lived. The setup work happened upstream, out of frame, taken for granted in the way that foundations are taken for granted, until the building needs one that isn’t there.

Commoditised execution doesn’t make the enabling professional more talented. It makes their talent legible for the first time. The gap they’ve always filled is now the gap everyone can see.

There’s a word for this in woodworking. When you apply finish to raw timber, the grain that was always present in the wood becomes visible. The finish doesn’t create the grain. It reveals it.

That’s what’s happening now, across every field where generative tools are doing what used to require years of practice. The grain of the enabling professions - the deep situational knowledge, the capacity to build the right frame for a specific problem - is being revealed by the very thing that appears to threaten it.

The jig maker’s advantage was always structural. It just took commoditised execution to make it visible.

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So, who are the enablers of what comes next?

A teacher who designs the conditions for understanding. A therapist whose frame makes a particular kind of thinking possible. An editor who knows what a piece is trying to do before the writer does. A researcher who understands which question is worth asking before anyone opens a model. An organisational designer who restructures the conditions before the intervention begins.

What they share isn’t a sector or a job title, but an orientation toward conditions rather than output, toward the upstream rather than the visible.

I’ve been sitting with this question in relation to my own work. Whether what I do constitutes enabling work in this sense - building the frames and conditions that make other people’s work more precise - has been a more useful question than most positioning exercises I’ve attempted. I don’t think it’s one you arrive at once and move on from. It’s the kind of question that keeps doing work on you.

So I’ll leave it here, as an invitation rather than an answer. Does your work produce the output, or does it produce the conditions? And if you’re not sure, it might be worth spending some time at the bench before you decide.

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