Robinhood CEO Vlad Tenev says it’s not “entirely relevant” that the trading platform’s so-called tokenized shares of OpenAI and SpaceX aren’t technically equity in the companies.

It comes after OpenAI raised concerns about the product, which is designed to give users in the European Union exposure to various U.S. stocks — including private companies, which are less liquid than publicly listed firms.

OpenAI last week warned that Robinhood’s stock tokens do not represent equity in the company and said in a post on X that, “any transfer of OpenAI equity requires our approval — we did not approve any transfer.”

Robinhood says its OpenAI stock tokens are “enabled by Robinhood’s ownership stake in a special purpose vehicle.”

“It is true that these are not technically equity,” Tenev, who co-founded Robinhood in 2013 with fellow entrepreneur Baiju Bhatt, told CNBC’s “Squawk Box Europe” Tuesday, echoing his initial response to OpenAI’s concerns.

Tenev said that OpenAI’s complex company structure enables institutional investors to gain exposure to the company through “various instruments, like equity upon the event of a conversion to a for-profit at a later date.”

OpenAI was initially founded as a non-profit organization. However, it has since evolved to include a for-profit entity, which is owned by the non-profit.

“In and of itself, I don’t think it’s entirely relevant that it’s not technically an equity instrument,” he said. “What’s important is that retail customers have an opportunity to get exposure to this asset” — even if it’s a private company — due to the disruptive nature of AI, he added.

On Monday, the Bank of Lithuania, which is Robinhood’s lead authority in the European Union, told CNBC it was “awaiting clarifications” regarding the structure of the company’s stock tokens following OpenAI’s statement last week.

“Only after receiving and evaluating this information will we be able to assess the legality and compliance of these specific instruments,” Bank of Lithuania spokesman Giedrius Šniukas told CNBC. “The information for investors must be provided in clear, fair, and non-misleading language.”

Tenev said in response to the Lithuanian regulator’s comments that Robinhood is “happy to continue to answer questions from our regulators.”

“Since this is a new thing, regulators are going to want to look at it, and we’ve built this program in a way that we believe will withstand scrutiny — and we expect to be scrutinized as a large, innovative player in this space,” he told CNBC.

As China and the U.S. compete in artificial intelligence, Southeast Asia should draw from the best of both countries while building its own technologies, panelists said at CNBC’s East Tech West 2025 conference on June 27 in Bangkok, Thailand.

Julian Gorman, head of Asia-Pacific at mobile network trade organization GSMA, said it would be a negative development if Southeast Asia was forced to choose between either superpower. 

“Southeast Asia is very dependent on both economies, both China and America. I think it’s pretty hard to consider that they would go one way or the other,” Gorman said. 

“It’s very important that we continue to focus on not fragmenting the technology, standardizing it, and working so that technology transcends geopolitics and ultimately is used for good,” he added. 

The spread of U.S. and Chinese AI companies into new global markets has been a big trend this year as both Beijing and Washington seek more global influence in advanced technologies. 

Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. Large language model players in China have been leaning into this business model since DeepSeek’s debut. 

Previous panels at East Tech West have flagged open-source models as an important tool for regions outside of China and the U.S. to build their own sovereign AI capabilities.

Meanwhile, on the hardware side, the U.S. remains a leader in AI processors through chip giant Nvidia. While the U.S. has restricted China’s access to these chips, they remain on the market for Southeast Asia – which Chen suggested the region continue to take advantage of. 

However, Chen noted that there is a possibility that the AI landscape could change dramatically in a decade, with China being able to provide more affordable alternatives to Nvidia. 

“Don’t take a side easily and too quickly. Think about how to maximize your economic potential,” he suggested. 

GSMA’s Gorman pointed out that facing this “balancing act” between the superpowers is not new for Southeast Asia. For example, the region’s mobility industry heavily relies on Chinese tech manufacturing and hardware, as well as the U.S. in other areas such as telecommunications.

Cost considerations have already contributed to Malaysia’s growth as a global powerhouse in AI data centers and computing, particularly in the southern Johor region.

Still, Southeast Asia should aim to bring in companies with advanced capabilities that domestic industries can learn from and benefit from – a strategy that China employed to catch up to the West in advanced technologies, said Chen.

Southeast Asia can also play a proactive role in AI regulation itself, he said, citing recent examples of regulatory leadership from the region, such as Singapore’s Shared Responsibility Framework for tackling international scams and fraud. 

So far, there have been few global regulations on AI. While the EU has adopted a policy, the U.S. and ASEAN countries have yet to follow suit. 

Chen added that the region will need to band together and adopt common frameworks to gain a more prominent seat at the table of global AI development and regulation.