Tokenized stocks are the next big fintech buzzword. Are they an innovation or a regulatory loophole?
Tenev's gambit was the highest-profile launch yet of an increasingly buzzy product in the world of crypto and fintech: tokenized stocks, which are traditional equities in a blockchain wrapper. Proponents argue that by tokenizing publicly traded shares like Apple and Tesla, investors will be more easily able to trade and access assets, including outside the U.S. Robinhood took an even bolder step by claiming that it could tokenize shares in private companies, like OpenAI and SpaceX, that are typically only available to the world's wealthiest through venture funds or secondaries.
OpenAI did not take lightly to the announcement, posting on X a few days later that Robinhood's OpenAI tokens are not OpenAI equity. 'We did not partner with Robinhood, were not involved in this, and do not endorse it,' the company wrote. 'Please be careful.' Tenev admitted that Robinhood's OpenAI tokens are not 'technically' equity, but added that they still give retail investors exposure to private assets. (If you want a more thorough explanation on how it actually works, you can turn to the king, Matt Levine.)
While Robinhood's flashy announcement was more marketing than anything, with the product still limited to the European Union, you can expect to be soon inundated with discourse about tokenized stocks, which has already permeated the crypto industry for several years. Until recently, any serious forays into the space were limited to blockchain companies like Kraken and Coinbase, but Robinhood represented a crossing of the Rubicon. Don't forget, after all, that Robinhood helped push its stodgy competitors into commission-free trading for retail customers. Securities and Exchange Commission chair Paul Atkins gave an interview the same day as OpenAI's post, saying that 'tokenization is an innovation,' and crypto-friendly commissioner Hester Peirce released a letter last week calling tokenized securities 'enchanting, but not magical.'
As red-hot startups like OpenAI, SpaceX, and Stripe stay private for longer, companies from Robinhood to Forge have been trying to create new vehicles allowing retail customers to access them, from private market ETFs to tokenized stocks. But while these companies will tout such innovations as 'democratization,' they also come with the same risks associated with private companies—namely, a lack of disclosure and oversight. At a hearing last week on proposed crypto legislation, Sen. Elizabeth Warren (D-Mass.) argued that tokenized stocks will help companies evade SEC regulations, though Peirce later gave a statement that market participants must adhere to federal securities laws.
The future of stock trading is around the corner. But if even OpenAI is telling you to be careful, you might want to read the fine print.
Leo SchwartzX: @leomschwartzEmail: leo.schwartz@fortune.com
Submit a deal for the Term Sheet newsletter here.
Sara Braun curated the deals section of today's newsletter. Subscribe here.
This story was originally featured on Fortune.com
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Bloomberg
2 hours ago
- Bloomberg
Joe & the Juice to Implement Adyen's Payment Tech
Joe & the Juice is expanding its partnership with fintech platform Adyen to make its payment experience frictionless for customers. Joe & the Juice CTO Nicoli Schnack and Adyen North America President Davi Strazza have more on the partnership. (Source: Bloomberg)


Bloomberg
3 hours ago
- Bloomberg
Crypto Is Going To Be a Multi-Trillion Dollar Industry: Trump Jr.
CC-Transcript 00:00 Crypto is going to be the future of finance. Yeah, okay. We were doing everything imaginable in the prior administration to send that to other places. People want to be in America. They want to invest in America. They want that stability. What they needed to some guide rails. They needed a framework in which they could work even for us in the crypto platforms that we were developing, whether it was American Bitcoin, whether it's World Liberty Financial. We didn't get into that because we knew all that much about crypto. We got into it out of necessity because we were getting deep banked. There wasn't a person in this city that I couldn't call and get a loan for a real estate project a few short years ago. Then we became political and all of a sudden you're persona non grata. So crypto's the future to be able to have the legislation to create those guardrails, to be able to keep that industry, there is going to be a multitrillion dollar industry, and it should be based here in America. America should get the tax benefits of all of that. They should have the innovation, the growth, you know, that strategic thinking. And so I'm super excited about that, bill, because I think it's going to really make sure that America is the home of crypto and blockchain technology for the future.
Yahoo
3 hours ago
- Yahoo
A former OpenAI engineer describes what it's really like to work there
Three weeks ago, an engineer named Calvin French-Owen, who worked on one of OpenAI's most promising new products, resigned from the company. He just published a fascinating blog post on what it was like to work there for a year, including the sleepless sprint to build Codex. That's OpenAI's new coding agent that competes with tools like Cursor and Anthropic's Claude Code. French-Owen said he didn't leave because of any 'drama,' but because he wants to get back to being a startup founder. He was a co-founder of customer data startup Segment, which was bought by Twilio in 2020 for $3.2 billion. Some of what he revealed about the OpenAI culture would surprise no one, but other observations combat some misconceptions about the company. (He could not be immediately reached for comment.) Fast growth: OpenAI grew from 1,000 to 3,000 people in the year he was there, he wrote. The LLM model maker certainly has reasons for such hiring. It is the fastest-growing consumer product ever, and its competitors are also growing fast. In March, it said that ChatGPT had over 500 million active users and climbing quickly. Chaos: 'Everything breaks when you scale that quickly: how to communicate as a company, the reporting structures, how to ship product, how to manage and organize people, the hiring processes, etc.,' French-Owen wrote. Like a small startup, people there are still empowered to act on their ideas with little-to-no red tape. But that also means that multiple teams are duplicating efforts. 'I must've seen half a dozen libraries for things like queue management or agent loops,' he offered as examples. Coding skill varies, too, from seasoned Google engineers who write code that can handle a billion users, to newly minted PhDs who do not. This, coupled with the flexible Python language, means that the central code repository, aka 'the back-end monolith,' is 'a bit of a dumping ground,' he described. Stuff frequently breaks or can take excessive time to run. But top engineering managers are aware of this and are working on improvements, he wrote. 'Launching spirit': OpenAI doesn't seem to know yet that it's a giant company, right down to running entirely on Slack. It feel very much like move-fast-and-break-things Meta in its early Facebook years, he observed. The company is also full of hires from Meta. French-Owen described how his senior team of around eight engineers, four researchers, two designers, two go-to-market staff and a product manager built and launched Codex in only seven weeks, start to finish, with almost no sleep. But launching it was magic. Just by turning it on, they got users. 'I've never seen a product get so much immediate uptick just from appearing in a left-hand sidebar, but that's the power of ChatGPT.' Secretive fishbowl: ChatGPT is a highly scrutinized company. This had led to a culture of secrecy in an attempt to clamp down on leaks to the public. At the same time, the company watches X. If a post goes viral there, OpenAI will see it and, possibly, respond to it. 'A friend of mine joked, 'this company runs on twitter vibes,'' he wrote. Biggest misconception: French-Owen implied that the biggest misconception about OpenAI is that it isn't as concerned about safety as it should be. Certainly a lot of AI safety folks, including former OpenAI employees, have criticized its processes. While there are doomsayers worrying about theoretic risks to humanity, internally there's more focus on practical safety like 'hate speech, abuse, manipulating political biases, crafting bio-weapons, self-harm, prompt injection,' he wrote. OpenAI isn't ignoring the long-term potential impacts, he wrote. There are researchers looking at them, and it's aware that hundreds of millions of people are using its LLMs today for everything from medical advice to therapy. Governments are watching. Competitors are watching (and OpenAI is watching competitors in return). 'The stakes feel really high.' Sign in to access your portfolio