Bitwise Spot Bitcoin ETF (BITB) signage on the floor of the New York Stock Exchange (NYSE) in New York, US, on Thursday, Jan. 11, 2024, with trading commencing on the first US exchange-traded funds that invest directly in the biggest cryptocurrency.
Bloomberg | Bloomberg | Getty Images
If the vision of Larry Fink — CEO of BlackRock, the world’s biggest money manager — becomes reality, all assets from stocks to bonds to real estate and more would be tradable online, on a blockchain.
“Every asset — can be tokenized,” Fink wrote in his recent annual letter to investors.
Unlike traditional paper certificates signifying financial ownership, tokens live securely on a blockchain, enabling instant buying, selling, and transfers without paperwork or waiting — “much like a digital deed,” he wrote.
Fink says it would be nothing short of a “revolution” for investing. Think 24-hour markets and a trading settlement process that can be compacted down into seconds from a process that today can still take days, with billions of dollars reinvested immediately back into the economy.
But there’s one big problem, one technology challenge that stands in the way: the lack of a coordinated digital identity verification system.
While technology experts say Fink’s idea isn’t improbable, they agree that there are cybersecurity challenges ahead in making it work.
Verifying asset owners in world of AI deep fakes
Today, it’s not easy to verify online that the person you are interacting with is that person because of the prevalence of AI deepfakes and sophisticated cybercriminals, according to Christina Hulka, executive director of the Secure Technology Alliance, an organization focused on identity, access and payments. As a result, having a unified verification system would be useful because there would be cryptographic validation that people are who they say they are.
“The [financial services] industry is focused on how to build a zero-trust framework for identification. You don’t trust anything until it’s verified,” Hulka said. “The challenge is getting everyone together about which technology to use that makes it as simple and as seamless for the consumer as possible,” she added.
It’s hard to say precisely how a broad-based digital verification system would work but to support a fully tokenized financial structure, a system would, at a minimum, need to meet stringent security requirements, particularly those tied to financial regulations like the Know Your Customer rule and anti-money laundering rules, according to Zulfikar Ramzan, chief technology officer at Point Wild, a cybersecurity company.
At the same time, the system would need to be low friction and quick. There’s no shortage of technical tools today, especially from the field of cryptography, that can effectively bind a digital identity to a transaction, Ramzan said. “Fifteen to 20 years ago, this conversation would have been a non-starter,” he added.
There have been some successes with programs like this across the globe, according to Ramzan. India’s Aadhaar system is an example of a digital identity framework at a national scale. It enables most of the population to authenticate transactions via mobile devices, and it’s integrated across both public and private services. Estonia has an e-ID system that allows citizens to do everything from banking to voting online. Singapore and the UAE have also implemented strong national identity programs tied to mobile infrastructure and digital services. “While these systems differ in how they handle issues like privacy, they all share a key trait: centralized government leadership that drove standardization and adoption,” Ramzan said.
Centralized personal data is a big target for cybercriminals
While a centralized system solves one challenge, the storage of personally identifiable information and biometrics data is a security risk, said David Mattei, a strategic advisor in the fraud and AML practice at Datos Insights, which works with financial services, insurance and retail technology companies.
Notably, there have been reports of data stolen from India’s Aadhaar system. And last year, El Salvador’s government had the personal data of 80% of its citizens stolen from a centralized, government-managed citizen identity system. “A lot of security experts do not advocate having a centralized security system because it’s kind of like the pot at the end of the rainbow that every fraudster is trying to get his hands on,” Mattei said.
In the U.S., there’s a long-standing preference for decentralized systems for identity. On mobile devices, Face ID and Fingerprint ID are done not by centralizing all of that data in one spot at Apple or Google, but by storing the data in a secure module on each mobile device. “This makes it much harder, if not impossible, for fraudsters to steal that data en masse,” Mattei said.
Larry Fink, chief executive officer of BlackRock Inc., at the Berlin Global Dialogue in Berlin, Germany, on Tuesday, Oct. 1, 2024.
Bloomberg | Bloomberg | Getty Images
Digital driver’s licenses offer a cautionary tale
It would take a significant coordinated effort to come up with a national identity system used for identity verification.
Identity systems in the U.S. today are fragmented, Ramzan said, giving the example of state departments of motor vehicles. “To move forward, we will either need a cohesive national strategy or a way to better coordinate identity across the state and federal levels,” he said.
That’s not an easy task. Take, for example, the effort many states are making to adopt digital driver’s licenses. About a quarter of states today, including Utah, Maryland, Virginia and New York, issue mobile driver’s licenses, according to mDLConnection, an online resource from the Secure Technology Alliance. Other states have pilot programs in effect, have enacted legislation or are studying the issue. But this undertaking is quite ambitious and has been underway for several years.
To implement a national identity verification system would be a “massive undertaking and would require just about every company that does business online to adopt a government standard for identity verification and authentication,” Mattei said.
Competitive forces are another issue to contend with. “There is an ecosystem of vendors who offer identity verification and authentication solutions that would not want a centralized system for fear of going out of business,” Mattei said.
There are also significant data privacy hurdles to overcome. States and the federal government would need to coordinate to resolve governance issues, and this might prompt “big brother” concerns about the extent to which the federal government could monitor the activities of its citizens.
Many people have “a bit of an allergic reaction” when anything resembling a national ID comes up, Ramzan said.
Fink has been pushing the SEC to look at issue
The idea is not a brand new one for Fink. At Davos earlier this year, he told CNBC that he wanted the SEC “to rapidly expand the tokenization of stocks and bonds.”
There’s BlackRock self-interest at work, and potential cost savings for the firm and many others, which Fink has spoken about. In recent years, BlackRock has been dragged into political battles, and lawsuits, over its voting of a massive amount of shares held in its funds on ESG issues. “We’d never have to vote on a proxy vote anymore,” Fink told CNBC at Davos, referring to “the tax on BlackRock.”
“Every owner would be notified of a vote,” he said, adding that it would bring down the cost of ownership of stocks and bonds.
It is clear from Fink’s decision to give this issue prominent placement in his annual letter — even if it came in third in the order of issues he covered behind both the politics of protectionism and the growing role of private markets — that he isn’t letting up. And what’s needed to make this a reality, he contends, is a new digital identity verification system. The letter is short on details, and BlackRock declined to elaborate, but, at least on the surface, the solution for Fink is clear. “If we’re serious about building an efficient and accessible financial system, championing tokenization alone won’t suffice. We must solve digital verification, too,” he wrote.
Blockchain continues to evolve and people are learning to understand it better. Accordingly, there are initiatives underway to think about how the U.S. can achieve a broad-based identity verification system, Hulka said. There are technical ways to do it, but finding the right way that works for the country is more of a challenge since it has to be interoperable. “The goal is to get to a point where there is one way to verify identity across multiple services,” she said.
Eventually, there will be a tipping point for the financial services industry where it becomes a business imperative, Hulka said. “The question is when, of course.”
Oracle CEO Clay Magouyrk appears on a media tour of the Stargate AI data center in Abilene, Texas, on Sept. 23, 2025.
Kyle Grillot | Bloomberg | Getty Images
Oracle on Friday pushed back against a report that said the company will complete data centers for OpenAI, one of its major customers, in 2028, rather than 2027.
The delay is due to a shortage of labor and materials, according to the Friday report from Bloomberg, which cited unnamed people. Oracle shares fell to a session low of $185.98, down 6.5% from Thursday’s close.
“Site selection and delivery timelines were established in close coordination with OpenAI following execution of the agreement and were jointly agreed,” an Oracle spokesperson said in an email to CNBC. “There have been no delays to any sites required to meet our contractual commitments, and all milestones remain on track.”
The Oracle spokesperson did not specify a timeline for turning on cloud computing infrastructure for OpenAI. In September, OpenAI said it had a partnership with Oracle worth more than $300 billion over the next five years.
“We have a good relationship with OpenAI,” Clay Magouyrk, one of Oracle’s two newly appointed CEOs, said at an October analyst meeting.
Doing business with OpenAI is relatively new to 48-year-old Oracle. Historically, Oracle grew through sales of its database software and business applications. Its cloud infrastructure business now contributes over one-fourth of revenue, although Oracle remains a smaller hyperscaler than Amazon, Microsoft and Google.
OpenAI has also made commitments to other companies as it looks to meet expected capacity needs.
In September, Nvidia said it had signed a letter of intent with OpenAI to deploy at least 10 gigawatts of Nvidia equipment for the San Francisco artificial intelligence startup. The first phase of that project is expected in the second half of 2026.
Nvidia and OpenAI said in a September statement that they “look forward to finalizing the details of this new phase of strategic partnership in the coming weeks.”
But no announcement has come yet.
In a November filing, Nvidia said “there is no assurance that we will enter into definitive agreements with respect to the OpenAI opportunity.”
OpenAI has historically relied on Nvidia graphics processing units to operate ChatGPT and other products, and now it’s also looking at designing custom chips in a collaboration with Broadcom.
On Thursday, Broadcom CEO Hock Tan laid out a timeline for the OpenAI work, which was announced in October. Broadcom and OpenAI said they had signed a term sheet.
“It’s more like 2027, 2028, 2029, 10 gigawatts, that was the OpenAI discussion,” Tan said on Broadcom’s earnings call. “And that’s, I call it, an agreement, an alignment of where we’re headed with respect to a very respected and valued customer, OpenAI. But we do not expect much in 2026.”
“This is the wrong approach — and most likely illegal,” Sen. Amy Klobuchar, D-Minn., said in a post on X Thursday.
“We need a strong federal safety standard, but we should not remove the few protections Americans currently have from the downsides of AI,” Klobuchar said.
Trump’s executive order directs Attorney General Pam Bondi to create a task force to challenge state laws regulating AI.
The Commerce Department was also directed to identify “onerous” state regulations aimed at AI.
The order is a win for tech companies such as OpenAI and Google and the venture firm Andreessen Horowitz, which have all lobbied against state regulations they view as burdensome.
It follows a push by some Republicans in Congress to impose a moratorium on state AI laws. A recent plan to tack on that moratorium to the National Defense Authorization Act was scuttled.
Collin McCune, head of government affairs at Andreessen Horowitz, celebrated Trump’s order, calling it “an important first step” to boost American competition and innovation. But McCune urged Congress to codify a national AI framework.
“States have an important role in addressing harms and protecting people, but they can’t provide the long-term clarity or national direction that only Congress can deliver,” McCune said in a statement.
Sriram Krishnan, a White House AI advisor and former general partner at Andreessen Horowitz, during an interview Friday on CNBC’s “Squawk Box,” said that Trump is was looking to partner with Congress to pass such legislation.
“The White House is now taking a firm stance where we want to push back on ‘doomer’ laws that exist in a bunch of states around the country,” Krishnan said.
He also said that the goal of the executive order is to give the White House tools to go after state laws that it believes make America less competitive, such as recently passed legislation in Democratic-led states like California and Colorado.
The White House will not use the executive order to target state laws that protect the safety of children, Krishnan said.
Robert Weissman, co-president of the consumer advocacy group Public Citizen, called Trump’s order “mostly bluster” and said the president “cannot unilaterally preempt state law.”
“We expect the EO to be challenged in court and defeated,” Weissman said in a statement. “In the meantime, states should continue their efforts to protect their residents from the mounting dangers of unregulated AI.”
Weissman said about the order, “This reward to Big Tech is a disgraceful invitation to reckless behavior by the world’s largest corporations and a complete override of the federalist principles that Trump and MAGA claim to venerate.”
In the short term, the order could affect a handful of states that have already passed legislation targeting AI. The order says that states whose laws are considered onerous could lose federal funding.
One Colorado law, set to take effect in June, will require AI developers to protect consumers from reasonably foreseeable risks of algorithmic discrimination.
Some say Trump’s order will have no real impact on that law or other state regulations.
“I’m pretty much ignoring it, because an executive order cannot tell a state what to do,” said Colorado state Rep. Brianna Titone, a Democrat who co-sponsored the anti-discrimination law.
In California, Gov. Gavin Newsom recently signed a law that, starting in January, will require major AI companies to publicly disclose their safety protocols.
That law’s author, state Sen. Scott Wiener, said that Trump’s stated goal of having the United States dominate the AI sector is undercut by his recent moves.
“Of course, he just authorized chip sales to China & Saudi Arabia: the exact opposite of ensuring U.S. dominance,” Wiener wrote in an X post on Thursday night. The Bay Area Democrat is seeking to succeed Speaker-emerita Nancy Pelosi in the U.S. House of Representatives.
Trump on Monday said he will Nvidia to sell its advanced H200 chips to “approved customers” in China, provided that U.S. gets a 25% cut of revenues.
Coinbase is gearing up to launch an in-house prediction market, powered by Kalshi, a source close to the matter told CNBC — a strategic play to expand the number of asset classes available on the cryptocurrency exchange at a time some investors are shying away from digital assets.
The source said Coinbase and Kalshi will “soon” formally announce the prediction market, with news on the matter potentially coming as early as next week.
Rumblings of the prediction market launch have swirled for nearly a month. An alleged screenshot of Coinbase’s prediction markets dashboard shared by Silicon Valley researcher Jane Manchun Wong in an X post dated Nov. 18 offered some clues about the new product.
The Information first reported on Nov. 19 that Coinbase planned to launch prediction markets powered by Kalshi, adding that the exchange would unveil the new product at its “Coinbase System Update” event on Dec. 17. Bloomberg published a similar report on Thursday, citing a source familiar with the matter, adding that Coinbase would also announce a tokenized stock offering at the showcase.
Coinbase declined to confirm the reports to CNBC, but said to tune into its event next week. The firm did not comment on a timeline for when its prediction markets would go live for its users.
Coinbase’s upcoming product launches underscore its push to refashion itself into an “everything exchange,” or a one-stop shop for trading all kinds of assets, including crypto tokens, tokenized stocks and event contracts. In May, CEO Brian Armstrong articulated that “everything exchange” vision to investors, saying Coinbase would aim to become a top financial services app within the next decade.
The trading platform is setting its sights on that goal as it faces intensifying competition from rivals such as Robinhood,Gemini and Kraken. All three have launched tokenized equity offerings to users outside of the U.S. within the past year, in addition to exploring prediction markets to varying extents.
Coinbase’s moves to expand the financial instruments available to its users also come as investor sentiment on digital assets cools. A series of liquidations of highly leveraged digital asset positions in mid-October triggered several pullbacks in the crypto market, prompting investors to rotate out of tokens and into gold and other safe-have assets.
Bitcoin fell as low as around $85,000 in early December, hitting its lowest level since last March. The token was last trading at $89,951, down 23% in the past three months. Coinbase has also fallen more than 16% over the past three months.
The deal also underscores U.S.-based prediction markets operator Kalshi’s push to embed its event contracts into various brokerages, widening its reach as the prediction markets space becomes increasingly competitive.
This year, Kalshi embedded several of its prediction markets into trading platform Robinhood, as part of a non-exclusive partnership between the companies. Kalshi has also engaged in talks with several other major brokerages, including those in the crypto industry, with the aim of closing more deals like the ones it has struck with Robinhood and now Coinbase, a source familiar with the matter told CNBC.