A thesis in public

Let the machines do the cognitive work. Let the humans tend the garden.

AI is absorbing white-collar, institutional, and administrative work at a pace far ahead of any prior automation wave. The default policy answer is administered dependency at population scale. There is a better one: deploy the productivity surplus AI generates as wage support for a return of human labor to orchard and food-forest agriculture — the work the body was built for, on the landscape it was designed against, producing the food and the pollinator ecology that the present landscape does not.

Machines do what machines do well. Bodies do what bodies were designed to do. The AI productivity surplus is the funding mechanism for the labor reallocation. The displacement is the absorption.

This is not a Luddite proposal. It is not back-to-the-land utopianism. It is not anti-AI. It is an argument for correspondence between the work and the worker, and for the structural deployment of an existing surplus into the labor sector that uses the body as designed.

The four planks

Economy · Agriculture · Scripture · Lifeway

Economy

The displacement and the surplus

AI is absorbing white-collar, institutional, and administrative work at scale. The productivity surplus AI generates across finance, logistics, manufacturing, and information processing is the funding mechanism for the labor reallocation. The displaced cognitive workforce becomes the funded agricultural workforce.

Agriculture

From monoculture to food forest

Modern monoculture cleared orchards to plant grain and soy, creating a landscape nearly devoid of flowering plants — a nutritional desert for bees and a calorie-rich, nutrient-poor staple economy for humans. A food-forest economy of orchards, fruit trees, and perennial polycultures requires abundant graded human labor across seasons and produces clean forage, nutrient density, and soil.

Scripture

The original commission

Genesis 2:15 places man in a garden to work it and take care of it — the original job description. Vedic cosmology, in the Kali Yuga, frames institutional structures as progressively degraded, so distributed human-scale farming is structurally more resilient to institutional collapse than centralised food administration.

Lifeway

The body and the work it was built for

The human body is evolutionarily optimised for sustained outdoor physical labor in natural environments. Sedentary cognitive work — at comparable total effort — produces worse sleep, frayed relationships, higher addiction risk, and greater mental-health load. The proposal is not asceticism; it is correspondence between the work and the worker.

The scale of the question

Order-of-magnitude figures
~300M full-time-equivalent jobs globally exposed to generative AI automation, on the 2023 Goldman Sachs estimate — concentrated in cognitive and information-processing categories.
~10× order-of-magnitude difference in labor required per acre between mechanised grain monoculture and labor-intensive orchard / polyculture systems.
<2% share of the US population currently working in agriculture — down from over 25% at the start of the twentieth century. The absorption capacity is structurally available.
$2.6T+ low-end of the McKinsey 2023 annual-economic-value estimate for generative AI — the order of magnitude of the surplus the reallocation argues to deploy as agricultural wage support.
“If we took away monoculture and mass farms intentionally, with the specific purpose that AI is transforming our society everywhere — and what are we going to do with all of the humans? — the government’s idea is that we won’t own anything, and they’ll provide to us what we need, which is an awful idea. But if instead human civilisation was thrust intentionally back to manual farming, everyone would be employable, nearly. The productivity provided by AI everywhere else could fund it. Everyone would actually be happier this way.” — On record, 2026-04-24. The proposal in one paragraph.

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