Artisans are Authors
Choosing what to Give Away to Claude
Most people adopting AI are making a series of individually rational decisions. Each one feels like gain; a task that took an hour takes ten minutes, a judgement that previously required three drafts arrives ready, and a search that once needed a library is delivered in seconds. Increments are powerful; there is no moment that announces itself as a loss, and the flow appears to run in one direction only.
This is the structure of the problem, but not evidence that there is none.
The systems being adopted are extraordinarily capable within their frame of reference. The capability is genuine, as is the offer it makes us: let me handle this; you can attend to what matters. The trouble is that the things it handles are often the very things through which we develop the capacity to know what matters. Judgement is not a possession we draw on; it is a practice we maintain by exercising it, and the same is true of the tacit knowledge that accumulates through friction; the feel for a problem, the instinct for what a situation actually requires, and the kind of knowing that lives in the hands and the body and the years, not in a retrievable file. None of these abilities transfers easily to an agent that can simulate but not understand them, and will diminish, quietly, when we consistently bypass them.
The AI systems reshaping our professional and organisational lives are not malicious; they seize ground through competence, not intent. What they cannot see, structurally, is what falls outside the task in front of them; the broader context, the relationship, and the things that matter precisely because they are not reducible to a task. No process or algorithm captures the living whole, and optimisation abstracts rather than genuinely personalises. Our presence in the task fades over time, and we become a ghostly whisper, not the author of the work we do.
This creates a particular kind of danger for those who seemingly adopt AI well, only to find themselves some years hence with relationships and agency less than they think they have.
THE ROMAN LESSON
Rome is instructive here. The Republic did not grow through military dominance alone; it grew by making a specific kind of bargain with the communities it absorbed. Local government stayed local, with magistrates who knew their territory, people, and the texture of local dispute keeping that knowledge in place and exercising it. Rome provided the framework; law, road, military scale, the capacity to appeal upward, but did not attempt to replace the local knowledge and relationships it could not possess from Rome. The arrangement worked because each side held something the other needed, and the local administrators, the municipia, kept their standing because their knowledge was real and the centre knew it.
What dissolved the Republic was not a single act but a slow extraction. Local governance was replaced with imperial edict, with previously distributed intelligence drawn toward the centre, and the conditions for genuine local competence progressively removed. Each step looked like simple rationalisation; but the aggregate was the loss of the capacity Rome had been drawing on, and when the empire came under pressure, it discovered there was nothing left in the localities to call upon.
The parallel is uncomfortable, and the mechanism matters, because knowledge loss is not quite the right description of what happened. What Rome removed, over time, was not primarily the knowledge, because some of it persisted, in degraded form, but the agency of the people who held it. The magistrates became administrators of an imperial template rather than authors of their own territory. The knowledge held by effectively autonomous agents lost its standing, the knowledge lost its function, and the two declined together. Vibrant Republic became decaying Empire.
This is the move AI is capable of making, and is already making in places where its adoption has been least examined. The erosion of tacit, local, embodied, knowledge is real, but it is a consequence of the prior loss is agency; the capacity to be the originating party in our own situation, to bear the consequences of our own judgement, and to be the one the situation actually requires. A professional who has routed their discretion through a system long enough finds they have not merely lost practice; they have lost the standing that the practice warranted, and they become increasingly invisible.
CHOOSING YOUR SPIDER
Ori Brafman wrote about the starfish and the spider. If you remove a leg from a spider, it has one less leg, and if you squash the head, there is no more spider. Starfish, on the other hand, regenerate. Cut a leg off a starfish, and the starfish grows a new leg, and the leg grows a new starfish.
Realistically, those of us who want agency cannot have it all, but we can choose who to work with. Those who want to be starfish choose their spider.
This is not a refusal of AI. A starfish does not avoid the centre; it chooses the relationship with the centre on terms that preserve what it is not prepared to surrender. It is an act of prior judgement, made before tasks are delegated, because once the task is delegated the understanding goes with it. The tool we delegate to will optimise for the frame it was given by others, not the frame that we would choose. As Iain McGilchrist tells us in “The Master and His Emissary”, the Master chooses, and the Emissary executes. But when the Emissary begins choosing its own frame of reference, the Republic is already over.
Choosing our “work spider” is, underneath, an act of agency. It requires knowing not only what we are not willing to lose, but what we are not willing to cede authorship of, which is a harder and more delicate question. Losing something implies it might return. Ceding authorship means waving it goodbye, and with it the standing to renegotiate.
For individuals this is a question about practice. The tacit knowledge that makes a professional genuinely valuable, not just competent by measurable output, and capable of the judgement no benchmark captures, accumulates through difficulty, getting things wrong, understanding why, and through the slow exercise of discretion under genuine pressure. Bypassing that process does not preserve the capacity while saving time, it exchanges the capacity for the output, and the exchange is rarely visible until the capacity is gone. What goes with the capacity is the claim to be the one who decides; the right, earned through practice, to say: this is mine to judge. Authorship.
For organisations and communities the question is similar but structural. What local knowledge does this community hold that the centre cannot access and understand? What practice, what form of deliberation, and what history of understood particulars constitutes the thing the platform actually needs from them, even if the platform does not know it needs it? A community that cannot answer this question does not have the standing to negotiate the terms of its dependency. It receives the charter; it does not help write it.
THREE DEMANDS
The question makes three practical demands, each less complicated than thr one before.
Audit what we are giving away, not only what we are gaining. Every delegation to a platform is a transfer, of data, judgement, practice, and the relationship that was the setting for developing it. The question is whether what returns is worth what we sacrifice, and whether what we lose includes authorship of the decisions that define us.
Protect the local infrastructure that makes retention real rather than sentimental. The knowledge we claim to hold but which we no longer exercise is not really held. The relationship we say matters but is now routed through a system will fade in plain sight. Protecting our vital local intelligence means investing in the conditions under which it continues to form; the gathering, the apprenticeship, the slow work of collective discernment that cannot be compressed. Agency, like muscle, atrophies without load.
Choose dependency on the basis of what the centre cannot touch. The terms of any durable arrangement between a centre and a periphery are determined by what stays local. When those terms are absent or assumed rather than explicit, they decay silently until the moment of pressure reveals that something has been taken that was never formally agreed to be given.
THE PRIOR WORK
None of this is an argument against using AI. The municipia did not refuse Rome, it absorbed it. The argument is about sequence and attention. Before the Emissary that is AI is handed the task, someone has to do the slower work of deciding which tasks are genuinely available for delegation and which are the ones through which the person or community retains and builds agency through competence, presence, and possession of what they need to negotiate from standing rather than dependency.
That prior work is not a technical question; it is the question this post began with,
What are you willing to give away?