An open project for the age of AI

A genius grew bigger crops.
The problem was never the crops.

We’re pointing our intelligence, human and artificial, at the real question: how wealth, work and meaning are shared when machines can do the work.

The story behind the name

In 1996, George Malley suddenly became very, very smart.

In the film Phenomenon, John Travolta plays George Malley, a small-town mechanic who becomes a genius overnight. He turns his new intelligence to growing giant crops, so that more people can be fed.

Watching it in the 1990s, I felt frustrated. The world doesn’t go hungry for lack of food. It goes hungry because of how food, and the money to buy it, are distributed. The real problem isn’t production. It’s the economic system.

If you suddenly had extraordinary intelligence, that is where you should point it. Today we are building that intelligence.

Why now

We are building the intelligence. Not yet the settlement.

A new economic settlement has to be worked out alongside AI, not after the damage is done.

01

Years, not decades

AI could take over a large share of human work far faster than past technologies changed the economy.

02

Wages carry the system

Most people get their share of the world’s wealth through a job. Remove the job and the whole settlement wobbles.

03

Power follows ownership

Whoever owns the machines could hold economic and political power on a scale no one has had before.

Six pillars

It’s not only about money.

Taxing AI and sharing its income matters. But if work stops being the centre of life, we also need to talk about meaning, power, the transition, learning and fairness between countries.

01

Income and Ownership

How people get a fair share of the wealth AI creates.

Explore →

02

Meaning and Purpose

Work answers “who are you?” What replaces it?

Explore →

03

Power and Democracy

If AI concentrates wealth, how do citizens keep a voice?

Explore →

04

The Transition

Protecting people and places on the road there.

Explore →

05

Education and Skills

What to learn when valuable skills keep changing.

Explore →

06

Global Fairness

Sharing the gains beyond the few countries that build AI.

Explore →

How it works

Agreement is measured, not assumed.

● 1

Collect

Gather the proposals that already exist, from every part of the political spectrum.

● 2

Rate

Score each one openly for consensus and feasibility, with evidence.

● 3

Debate

Test them in public, with people who disagree and AI agents as sparring partners.

● 4

Combine

Build a package that people across divides can actually support.

Our principles: urgency · the best minds from every perspective · consensus across political divides · openness and transparency.

This only works if people who disagree take part.

Economists and engineers, workers and business owners, left and right. If you care how the gains of AI will be shared, there’s a place for you here.

Is this your new site? Log in to activate admin features and dismiss this message
Log In