Should You Own a Piece of OpenAI?

Welcome back apprentices! 👋

Hey {{first_name|friend}}, A funny thing is happening in AI right now.

The biggest headlines aren't really about chatbots anymore — they're about governments, billion-dollar decisions, and companies trying to figure out who gets a seat at the table. 

This week delivered a perfect example of that shift, and it's a lot more interesting than another "new model just dropped" announcement.

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🚜 A Broccoli Farmer Just Outbuilt Most Startups. A self-taught farmer in Japan is using ChatGPT and Codex to build custom software, automate greenhouses, track crops by satellite, and even manage farm operations through chatbots. Instead of hiring a team of developers, he created tools tailored to his needs with AI acting like an always-on engineering department. It's a glimpse into a future where anyone with a problem can become a builder.

🤖 AI Wants a Business License.  Argentina is proposing a first-of-its-kind legal category for “non-human corporations” — companies owned and run by AI systems. President Javier Milei says the move could make Argentina the world's most AI-friendly business hub, while critics warn it may create companies with no clear human accountability. If passed, it could become the biggest real-world test of what happens when AI moves from employee to CEO.

🚀 This IPO Comes With a Major Caveat. OpenAI has reportedly filed confidential IPO paperwork, but CEO Sam Altman told employees that the timing could depend on two unusual factors: how quickly AI capabilities advance and how much computing power the company needs to buy. The discussion comes as OpenAI prepares new models and weighs infrastructure investments that could cost hundreds of billions. For the first time, the pace of AI progress itself appears to be influencing when a major tech company goes public.

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This week felt less like the preview of the next chapter of the AI economy. 

Anthropic released what many researchers are calling one of the strongest AI models ever tested while simultaneously asking governments to speed up AI regulation. Apple finally unveiled its long-awaited Siri overhaul after years of AI pressure from competitors. And OpenAI found itself at the center of a surprising political discussion: should the American public own a piece of the company helping build the future?

The common thread isn't just better AI. It's that AI is becoming infrastructure. 

Governments want to regulate it, companies want to build entire ecosystems around it, and some policymakers are even discussing how citizens should share in the wealth it creates. 

The technology is maturing — and the debates around who controls it, benefits from it, and governs it are getting much bigger.

Most technology CEOs spend their time arguing against regulation.

Anthropic CEO Dario Amodei is doing the opposite.

Just as Anthropic released Claude Fable 5 — a model many researchers consider one of the most capable AI systems available today — Amodei published a lengthy policy proposal arguing that governments need to move much faster on AI oversight.

His concern isn't today's chatbots. It's tomorrow's systems.

Amodei wants independent testing of frontier AI models, stronger controls around dangerous capabilities like cyberattacks, limits on autonomous weapons, and even plans for handling large-scale job disruption if AI automation accelerates. Some proposals include AI-funded investment accounts for citizens and forms of universal basic income.

At the same time, Anthropic opened access to Claude Fable 5, the first public release of capabilities previously reserved for a small group of trusted partners. Early benchmark results show major gains in coding, reasoning, and professional knowledge work, putting the model at or near the top of most major rankings.

The interesting part isn't that Anthropic released a stronger model.

It's that the company is simultaneously saying: "These systems are getting powerful enough that we should probably start preparing now."

Whether you agree with the proposed solutions or not, that's a conversation that becomes harder to ignore every time a new model arrives.

Apple spent years watching the AI race from the sidelines.

Now it's trying to catch up.

At WWDC 2026, the company introduced Siri AI, a complete overhaul of its digital assistant designed to make it feel less like a voice command tool and more like an actual AI assistant.

The new system can understand what's on your screen, pull context from messages and photos, perform actions across apps, and maintain conversation history through a dedicated Siri AI interface.

The biggest Apple difference remains privacy.

Requests will run either directly on-device or through Apple's Private Cloud Compute infrastructure, with the company emphasizing that user data won't be stored or used for training.

For most iPhone users, this will be the smartest Siri they've ever used.

The challenge is that the AI world has moved very fast over the last two years.

While Apple's demos looked impressive compared to old Siri, many of the showcased capabilities already feel familiar to people using ChatGPT, Claude, Gemini, or other frontier models every day.

Apple may not be trying to build the smartest AI on Earth.

It may simply be trying to build the AI that billions of people are comfortable using.

And that strategy shouldn't be underestimated.

Here's a sentence that would have sounded ridiculous three years ago:

The U.S. government may own a stake in OpenAI.

According to reports, discussions are taking place around a proposal where a small percentage of OpenAI's equity could eventually support a public wealth fund that gives Americans exposure to the economic upside of AI.

Supporters argue that if AI creates enormous wealth, citizens should share in the benefits.

Critics argue that a government simultaneously regulating a company while also profiting from it creates obvious conflicts of interest.

Neither side has won the debate yet.

But the fact that serious people are discussing it at all reveals something important: AI is no longer being treated like another software product.

It's increasingly being viewed as a national economic asset.

The conversation is shifting from "How do we build AI?" to "Who should benefit when AI succeeds?"

That may become one of the defining political questions of the next decade.

A year ago, most AI conversations were about prompts.

Today they're about policy, ownership, infrastructure, employment, and economic power.

That doesn't mean you need to become an AI researcher or policymaker. But it does mean understanding AI is becoming less about learning a tool and more about understanding a force that's starting to influence business, government, healthcare, education, and finance simultaneously.

The people who pay attention now won't just learn new software.

They'll better understand the systems shaping the next decade.

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A playground for your imagination (and low-key prompt skills).

Each send, we give you a customizable DALL·E prompt inspired by a real-world use case — something that could help you in your business or job if you wanted to use it that way. But it’s also just a fun creative experiment.

You tweak it, run it, and send us your favorite. We pick one winner to feature in the next issue.

Bonus: you’re secretly getting better at prompt design. 🤫

Last week, we challenged you to test GPT-4o’s visual generation skills with this prompt.

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Want to be featured next? Keep those generations coming!

Inside a colorful innovation studio, an entire wall is dedicated to the evolution of [your object]. Starting at one end is the simplest possible version, and with each step along the wall, the object becomes more advanced, refined, and imaginative. By the final display, it has transformed into a breathtaking future version that feels decades ahead of today's technology. The progression is seamless and visually fascinating, with each iteration displayed on illuminated shelves under vibrant lighting. Ultra-detailed, photorealistic realism, rich colors, premium materials, sharp focus, cinematic interior photography, high-end design exhibition aesthetic.

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