The Abundance Ladder

A framework by Boyd Cohen, PhD

The corporate ladder is breaking. Meet the Abundance Ladder.

AI is making intelligence cheap, and robots will soon make physical work cheap too. The old climb of degree, entry-level job, mortgage and promotion is failing at the bottom. If that climb hasn't worked for you, the ladder failed, not you. There is a new one, built on ownership instead of permission, and on it you choose your rung.

The two ladders

From the corporate ladder to the Abundance Ladder

The old ladder

Runs on permission and debt

Purpose, if you ever get there

  • Borrow against themRewards whoever is closest to cheap credit
  • Stack assetsEasiest for those who already have assets
  • PromotionFewer middle rungs as AI flattens companies
  • MortgageHomes priced out of reach of wages
  • MBAAnother credential, another loan
  • Entry-level jobThe first rung AI automates
  • Degree, financed with debtCredentials open fewer doors; the debt stays

Climb in order, borrow to keep climbing, and stopping partway means you failed.

The Abundance Ladder

Runs on ownership and permissionless leverage

  • Massive Transformative PurposeBuild something that changes life for millions
  • Earn · SaveIncome from the machine economy; savings no one can debase
  • Own · BuildMachines that earn while you sleep; a company run with AI agents
  • The ShareA stake in the machines for every citizenCitizen dividendsBasic equityBasic income
The Floor · Personal Purpose Cures, cheap energy and free knowledge for everyone. Family, community, craft and play, without having to work for a living.

Move up or down. Stop on any rung.

Why now

Three shifts are rewriting the rules of getting ahead

Intelligence is getting cheap

The price of a given level of AI capability has been falling about thirteenfold a year. Expertise that took a decade to learn is becoming something anyone can call on.

Source: Epoch AI, “The plunging price of thought,” 2026 (price for a fixed level of capability)

Machines are getting bodies

Robots, self-driving vehicles and drones will work around the clock and soon outdo us in strength, speed and dexterity. This is not only about knowledge work.

The old ladder is breaking at the bottom

Employment of workers aged 22 to 25 in the jobs most exposed to AI is already 19% below its expected trend, and homes cost several times more, relative to income, than a few decades ago.

Source: Brynjolfsson, Chandar & Chen, Stanford Digital Economy Lab, August 2026 update (ages 22 to 25)

The rungs, from the top

Every rung is a place you can stop and live well

The Moonshot · Massive Transformative PurposeFor the few who want it

Build something that changes life for millions. Salim Ismail calls this a Massive Transformative Purpose. Few people will want it, and that is fine. The rungs below are its tools.

The Independent · Earn·SaveIncome beyond a salary

Earn from what you own and build in the machine economy, not only from your time. Save the surplus in something that holds its value when money loses it, so the gains from falling prices reach you instead of passing you by.

The Builder · Own·BuildPermissionless leverage

Own machines that earn while you sleep: solar that sells power back to the grid, computing you rent out, one day a self-driving car that works as a robotaxi when you don't need it. Build with a team of AI agents what once took a whole company. No admissions office, hiring manager or loan officer has to say yes.

The Stakeholder · The ShareA stake for every citizen

It already exists in pieces. Alaska has paid every resident a dividend from its oil fund since 1982, and Norway's fund owns about 1.5% of the world's listed companies on behalf of its people. Next come ideas like universal basic equity and an investment account for every child.

The Rooted · The Floor · Personal PurposeWhat reaches everyone

Cures for diseases that took people we loved, energy cheap enough to change what is possible, a tutor and a doctor in every pocket. For many people the Floor and the Share are enough to reach a Personal Purpose: time for children, grandchildren, community, craft and play, without ever having to work for a living.

You choose your rung.You don't have to be an entrepreneur. The old ladder made you climb before you could afford a purpose. This one puts purpose within reach of the Floor.

You can move.Reach your Personal Purpose and, years later, be seized by an idea that sends you climbing. Or aim high and decide the life you already had was enough.

The rungs are levels, not verdicts.Most people will live somewhere in between: a little more than the Floor, one robotaxi rather than a fleet, more freedom over where they live and how they travel.

Self-assessment · 18 questions · about 6 minutes

Find your rung

Answer for your household as it is today. You'll see where you want to be, where you stand now, and three moves to get there. Your result is worked out in your browser. If you leave the box at the end ticked, an anonymous copy is saved for the live map: your answers, your rung and goal, your Personal Purpose and old-ladder scores, your language and the date. No name, email or IP address. Untick it and your answers stay on your device. We only count that an assessment was started and finished (date and language).

About youQuestion 1 of 18

Where do you live?

Where people stand

The live map

Every anonymous result adds to this map: where people stand on the Abundance Ladder today, and where they want to be.

Today vs. goal, by rung

    Where people are today Where they want to be

    From where people are (rows) to where they want to be (columns)

    The book

    Abundance Capitalism: From the Corporate Ladder to the Abundance Ladder in the Age of AI

    The Abundance Ladder comes from a book in progress by Boyd Cohen. It asks one question: in a world where machines can produce almost everything, and many of us no longer have to work to survive, how can markets deliver abundance to all of us?

    Boyd is a six-time founder and the author of four books, including Climate Capitalism and Bitcoin Singularity. He created the Smart Cities Wheel, spent two decades teaching entrepreneurship at business schools in the Americas and Europe, and today builds infrastructure for AI agents that spend money on people's behalf.