Binance Founder Changpeng Zhao Agrees to Step Down, Plead Guilty
Zhao’s crypto exchange will also admit wrongdoing and agree to pay $4.3 billion in fines
3 min
The chief executive of Binance, the largest global cryptocurrency exchange, plans to step down and plead guilty to violating criminal U.S. anti-money-laundering requirements, in a deal that may preserve the company’s ability to continue operating, according to people familiar with the matter.
Changpeng Zhao is scheduled to appear in Seattle federal court Tuesday afternoon and enter his plea, according to court records unsealed Tuesday. Prosecutors also unsealed a document charging Binance, which Zhao owns, with anti-money-laundering and sanctions crimes. Binance will also plead guilty and agree to pay fines totaling $4.3 billion, which includes amounts to settle civil allegations made by regulators, the people said.
Zhao has agreed to pay a criminal fine of $50 million, although that amount may be reduced based on separate civil penalties he has agreed to pay, court records show.
The deal would end long-running investigations of Binance. Zhao founded the firm in 2017 and turned it into the most important hub of the global crypto market. The criminal probe, in particular, has shadowed the company even as its market share initially grew after the collapse last year of FTX, one of its main offshore competitors.
Executives have recently fled Binance, and the exchange has laid off a chunk of its employees this year as the company struggled to come to terms with the U.S. probes.
The deal would allow Zhao to retain his majority ownership of Binance, although he won’t be able to have an executive role at the company. He is eligible to return to working at the company three years after a court-imposed compliance monitor is appointed, court records show. He would face sentencing at a later date.
The outcome resembles an earlier case that prosecutors brought against the executives of BitMEX, an exchange for trading crypto derivatives that was based in the Seychelles. Its former CEO, Arthur Hayes, pleaded guilty to violating anti-money-laundering law and was later sentenced to two years probation, avoiding a possible prison term of six to 12 months.
Striking a deal between the Justice Department and Binance had been elusive for months, the people said. Zhao recently hired a new lead attorney, William A. Burck of Quinn Emanuel Urquhart & Sullivan, to represent him before the Justice Department. Gibson Dunn & Crutcher has represented Binance.
The Justice Department declined to comment.
The deal to be announced on Tuesday doesn’t include a settlement with the Securities and Exchange Commission, which sued Binance and Zhao in June and alleged it violated U.S. investor-protection laws, the people said. Major crypto exchanges such as Binance have decided to litigate with the SEC, believing they can show that cryptocurrencies don’t qualify as the kinds of investments overseen by the SEC.
The Justice Department’s investigation looked at Binance’s program to detect and prevent money laundering and whether it allowed individuals in sanctioned countries, such as Iran and Russia, to trade with Americans on the exchange, the Journal previously reported.
A separate agreement would resolve a civil lawsuit filed against Binance and Zhao earlier this year by the Commodity Futures Trading Commission, one of the U.S. regulators that has tried to police the freewheeling global market, the people said. The $4.3 billion that Binance would pay includes amounts to address the CFTC’s claims and those leveled by agencies of the Treasury Department.
The CFTC claimed that Binance for years didn’t have a program to prevent and detect terrorist financing and money laundering. It also said Binance gave Americans access to derivatives such as futures or swaps that can only be traded in the U.S. if they are offered on regulated platforms. Binance never registered with U.S. regulators, making its risky leveraged products off-limits to American traders, the CFTC said.
A CFTC spokesman declined to comment.
Zhao resides in the United Arab Emirates and had curtailed his travel this year. The United Arab Emirates doesn’t have a mutual extradition treaty with the U.S., although last year the countries signed a treaty that enhances law-enforcement evidence sharing.
The U.A.E. remained welcoming to crypto even as countries such as China and the U.S. have cracked down on the unregulated industry. Zhao’s status was a sticking point in negotiations between the government and Binance for months, according to people familiar with the talks.
—Caitlin Ostroff contributed to this article.
Copyright 2020, Dow Jones & Company, Inc. All Rights Reserved Worldwide. LEARN MORE
From making unpopular decisions to learning when to listen, leaders from five businesses reveal what nobody prepared them for — and how running a company has challenged their expectations.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
From gorilla encounters in Uganda to a reimagined Okavango retreat, Abercrombie & Kent elevates its African journeys with two spectacular lodge transformations.
A Vaucluse masterpiece by MHNDU with interiors by Poco Designs brings architectural ambition and breathtaking ocean outlook to the auction block.
