The time to act is now.
Artificial intelligence changed the way I thought about humanity’s future.
I am a mid-career Canadian public-policy professional, not a programmer. I first used ChatGPT for ordinary work: summarizing long documents, organizing ideas, and getting through tasks that used to take much longer. I was impressed by it. I was also unsettled.
If AI could already help with parts of my job, how quickly might it change the jobs of millions of other people? I kept hearing about abundance, productivity, and a future with far less human labour. But I also heard an assumption that people would simply retrain, start companies, invest early, or figure it out.
Many people will not have that option. I kept thinking about a mid-career worker, a truck driver, a single parent, or someone in a low-income country without spare money, time, technical skills, or access to investing. What happens to them while AI-driven gains go mainly to the companies, investors, and countries that were already ahead?
I am neurodivergent, with ADHD and autism. That has brought real challenges, especially through the uncertainty after COVID. It also means that when something feels important, I can become intensely focused on it.
I started learning about AI and investing because I wanted some protection for myself. If AI companies create enormous value, owning a small piece of that growth may help people weather the disruption. Then I realized how limited that answer was. It helps people who are already able to invest. It does not reach everyone else.
A Moonshots conversation with Andrew Yang about UBI, job loss, and the future of work pushed the idea further. I began asking: what if we did not wait for governments or companies to redistribute wealth after the fact? What if people began building a shared ownership stake now?
That question became Equity for Humanity (E4H).
A small, growing ownership stake — if it can be made real.
Equity for Humanity is a proposed public-benefit fund and participation platform. In time, people, organizations, foundations, and AI-enabled companies could contribute approved resources. A future Humanity Fund would own productive assets broadly and patiently, rather than trying to pick individual AI winners.
Verified people could eventually claim a share of the benefit, recycle it into the fund, or contribute it back. Benefits that go unclaimed or are voluntarily returned would keep compounding for future participants.
None of that exists as a live system today. E4H is not meant to replace work, public services, UBI, or national policy. It is meant to add a small but growing, universal ownership stake in the productive economy. If AI becomes one of the greatest engines of wealth creation in history, I believe humanity should own part of the productive engine that shapes its future.
The ambition is large. The first step is modest: build something people can understand, challenge, and improve.
Agentic first. Human accountable.
I started with no technical background and had never used a terminal. I used ChatGPT and Hermes Agent to learn by doing. What began as a conversation became project documents, a philosophy and governance model, calculations, designs, and an Equity for Humanity prototype.
The prototype lets people explore simulated proof-of-humanity options, contributor and connector recognition, a public dashboard, claim and recycling choices, and a growth-linked payout calculator. It does not take real money or collect identity documents. It is a concept validator, not a live fund, charity, wallet, investment product, or payout system.
Building it taught me that AI can make one person capable of far more than I once thought possible. It cannot carry the responsibility. That still belongs to people.
E4H therefore follows one rule: agentic first, human accountable. AI can help with research, drafting, design, coding, and administration. People must remain responsible for legal structure, governance, privacy, custody, financial claims, and public promises.
The hardest part has been learning how much trust the idea requires. E4H raises difficult questions about law, taxes, custody, securities, privacy, fraud prevention, proof of unique humanity, and global access. There are no shortcuts around them, but I am determined to build and explore further to find solutions.
E4H is still at the beginning. It has not opened a public contribution flow or received contributions. I do not want to hide that. The next step is to find collaborators, advisors, technical partners, and early supporters who will pressure-test the idea and help make it safer, clearer, and more real.
I do not think Equity for Humanity solves the AI transition by itself. I think it is a place to begin: a practical attempt to make sure the prosperity created in this next era has a path back to the people whose lives will be changed by it.