Can OpenAI Shape Our Future?

Two facts from this week tell the whole story.

First, Microsoft locked in a 27% stake and commercial rights to OpenAI's frontier models through 2032, as OpenAI transformed its nonprofit entity and endowed it with a $130B value.

Second, Chinese open models - led by Qwen - overtook U.S. peers in downloads, with Airbnb's Brian Chesky saying:

"We're relying a lot on Alibaba's Qwen. It's very good. It's also fast and cheap... we use OpenAI's latest models, but we typically don't use them that much in production because there are faster and cheaper models."

Here's the tension we need to name - and undertsand. Capitalism builds big, fast systems. Open source and the long tail democratize and discipline them. One does not replace the other. Innovation needs both.

The big private foundation models are consolidating because scale wins on timelines that matter.

Microsoft's 27% + OpenAI's restructuring + Sam Altman's public clock - an AI research "intern" by 2026 and a "researcher" by 2028, backed by an ambition to add roughly one gigawatt of AI compute per week - are not vibes; they're industrial policy by private contract.

The money is real: a16z's new $10B, Mercor's $10B valuation for the human‑in‑the‑loop engine behind ChatGPT, global data center buildouts from São Paulo to Saigon, and even atoms plays like TechCrunch Disrupt winner Glīd (moving steel boxes faster) and Substrate's $100M particle‑accelerator challenge to EUV. You can dislike concentration; you can't deny its execution speed, capital raising capability, and scale.

The open source LLM model builders are rebelling in productive ways. Qwen's surge and DeepMind's model show the counter‑thesis: smaller, efficient models can be "good enough," fast, and cheap - often the right call in production.

Creators are voting with their feet (top Substack writers to Patreon; podcasters to TV), and the long tail of software is about to mirror YouTube's history: LLMs turn "anyone with an idea" into an app publisher. This is how we keep the big companies honest. Technology empowers competitors.

The real argument is not large for-profit LLM companies vs. Open Source - it's distribution of the vast wealth AI can be a catalyst for.

Zoom's Eric Yuan says AI should deliver a 3 or 4‑day week. And I would add that this trends to a 3,2,1 then zero day week over the next 2-3 decades.

On the other hand the FT warns retailers that agentic commerce can disintermediate their customer relationships; Fast Company reminds us that "AI abstinence won't work."

If we allow the large LLMs to drive wealth, and make a lot of revenue but we leave the gains in their hands we will have built the wrong future. Perhaps surprisingly a certain D Trump this week suggested that the US Government should take 10% ownership of all AI companies (and beyond) and preserve that wealth for the people. A mechanism to capture the benefits of AI for all is needed, and not only for US citizens.

Whether we can trust Government to be the custodial and benefit the people is a seperate discussion. But a mechanism is required and 10% would be a smallish starting point.

Which is why the week's most important idea is predistribution, not philanthropy. The $130B gift to OpenAI's founding nonprofit is notable - but foundation giving is not a social contract. We need durable, auditable rails that share upside as capability compounds. Here are some of the ideas surfacing:

Universal Basic Credit is one idea mentioned this week, not just UBI: citizen equity in the rails - compute, models, and data - so dividends grow with usage. Citizen equity in the form of individual ownership in growth can be an interesting element.

A value exchange between AI and the web: this is a way for links to content and products are surfaced as relevant inside AI, allowing traffic to drive revenue and allowing AI to get paid a portion.

Industrial policy with teeth: public co‑ownership in strategic AI infrastructure, not just subsidies, to translate capex into national dividends.

What to watch next

Retailer data sovereignty in agentic commerce: who owns the customer when the agent acts?

Policy pilots for Universal Basic Credit and AI‑dividend funds.

Bottom line:Capitalism will build the AI and grow GDP worldwide. Open source will complement and constrain ownership of customers. Policy must make sure the gains show up in our time, not just on one balance sheet. If we really believe AI can shrink the workweek - and it can - then we owe ourselves mechanisms that pay everyone when the machines do the work.

Essay

Universal basic credit would create a fair AI economy

Ft • October 31, 2025

Essay•AI•Economy•Universal Basic Credit•Inequality