From Foraging to Job Titles to Purpose

There is something strange about the fact that for most of modern history, we have described human beings by their functions. Not by what they know, or how they think, or the particular texture of their judgment, but by what they do between nine and five in a building that belongs to someone else. A title. A role. A rung. We built entire identities around these designations, and then we built economies around the identities, and then we built education systems to produce people who would fit the identities. And somewhere in the middle of all that architecture, the actual human being became a variable to be optimised rather than a source to be understood.

What artificial intelligence is doing, at its possibly most disruptive point, is not replacing workers. It is exposing the fiction that the job description was ever a complete account of what a person contributes. When a machine can execute the listed tasks faster and more consistently than a human, the listed tasks turn out to have been the least interesting part of the person doing them all along.

Ten thousand years ago, across the Fertile Crescent, the Yangtze River Valley, and parts of the Americas, something extraordinary happened. Nomadic peoples, independently and more or less simultaneously, began domesticating plants and animals. The Neolithic Revolution is usually taught as an unambiguous leap forward, as we don’t have all the details of what actually happened. And in terms of civilisational scale, it was an unambiguous step. But the anthropologist Marshall Sahlins made a radical argument that hunter-gatherer societies, by certain measures, were more affluent than the agricultural ones that replaced them. Their needs were met with fewer hours of labour. Their diets were more diverse. Their social lives were richer. Agriculture gave humanity surplus, specialisation, and eventually cities. It also gave humanity hierarchy, dependency, and the slow transfer of power toward whoever controlled the stored grain.

The pattern worth noticing is not that progress is bad. The pattern is that large-scale transitions are almost never neutral in their distribution of costs and benefits. The people who understood their own capacities clearly, and who could apply those capacities flexibly across changing conditions, tended to fare better than those whose survival was entirely tied to a single way of doing things. That was true during the shift from foraging to farming. It has been true through every subsequent disruption. The specific skills change, but the underlying principle does not.

Here is where it gets interesting, at least to an anthropological mind. Let’s think about Doughnut Economics: the model that proposes that the goal of an economy should not be growth for its own sake but rather operating within a social foundation and an ecological ceiling, meeting everyone's basic needs without exceeding planetary limits. It sounds idealistic until you sit with the alternative, which is a system that optimises indefinitely for scale and efficiency while making individual lives more precarious. The interesting question is not whether a regenerative and distributive model is desirable. The interesting question is what kind of work it would actually require of people, and what kind of people it would actually value.

The film Her gestures toward something close to an answer. In its hyper-technological near-future, the protagonist earns his living writing personalised letters on behalf of other people. His work is intimate, relational, and entirely unreplicable by the operating system he falls in love with, not because AI lacks the capability to produce words, but because the letters derive their value from being genuinely his. In a world saturated with artificial output, the thing with human fingerprints on it becomes rare and therefore meaningful. A skills-based economy, which is where the trajectory of the next decade or so actually points, does not distribute value according to hierarchy or credentials. It distributes value according to contribution, and contribution turns out to be a far more personal, irreducible, and specific thing than any job description has ever managed to capture.

The question worth sitting with, then, is not "what will the future of work look like?" That question invites prediction, and there is never a set prediction of a future, just projections from the current state. Make a simple change, and it changes the outcome. The more interesting question is what it would mean to build an economy around what and who people actually are, rather than what they can be trained to perform. Because if the Neolithic parallel holds, the transition we are moving through will produce a new kind of surplus, and surplus always creates a new question about who controls it, who benefits from it, and what kind of life it makes possible for the people who generated it. The technology is not the answer to that question. It is the pressure that forces us to ask it more honestly than we ever have before.