Solana logo displayed on a phone screen and representation of cryptocurrencies are seen in this illustration photo taken in Krakow, Poland on August 21, 2021.
Jakub Porzycki | NurPhoto | Getty Images
Solana was touted as the cryptocurrency that would challenge ether with an eco-friendlier approach, faster transaction speeds and more consistent costs.
Investors who made that bet had a miserable year. The token’s market cap collapsed from over $55 billion in January to barely above $3 billion at year-end.
Among Solana’s biggest problems in late 2022 was its close relationship to FTX founder Sam Bankman-Fried, who faces eight criminal fraud charges after his crypto exchange went bankrupt last month. The disgraced former crypto billionaire was one of Solana’s most public boosters, touting the advantages of the blockchain technology and investing over a half-billion dollars in Solana tokens.
Bankman-Fried’s companies held nearly $1.2 billion worth of the token and associated assets in June, according to documents reviewed by CoinDesk.
When FTX fell apart, investors bailed on Solana to the tune of about $8 billion. But in recent days, as the rest of the crypto world has been relatively quiet and prices stable, Solana has plummeted further.
Two of the biggest non-fungible token (NFT) projects built on Solana announced their migration off of Solana’s platform on Christmas Day. But the recent slides came after that news had already broken, making Solana’s recent slide something of a mystery.
In the last week, Solana has declined over 30%. Ether has held steady, shedding 1.7% in the same time period, while bitcoin has only dropped 1.2%. Among the 20 most-valuable cryptocurrencies tracked by CoinMarketCap, the next biggest loser over that stretch is Dogecoin, which has fallen 9%.
In just one hour of trading on Thursday, Solana slid 5.8%, bringing it to the lowest since early 2021, around the time that Bankman-Fried began to vocally offer his support for the project.
Solana has since come off the lows, with a market cap now crossing $3.5 billion. Its 24-hour trading volume is up over 200% on a relative basis.
During the crypto market’s heyday in 2021, Bankman-Fried was hardly alone in his bullishness.
Developers raved about Solana’s support for smart contracts, pieces of code that execute pre-programmed directives, as well as an innovative proof-of-history consensus mechanism.
Consensus mechanisms are how blockchain platforms assess the validity of an executed transaction, tracking who owns what and how well the system is working based on a consensus between multiple record-keeping computers called nodes.
Bitcoin uses a proof-of-work mechanism. Ethereum and rival Solana use proof-of-stake. Rather than relying on energy-intensive mining, proof-of-stake systems ask big users to offer up collateral, or stake, to become “validators.” Instead of solving for a cryptographic hash, as with bitcoin, proof-of-work validators verify transaction activity and maintain the blockchain’s “books,” in exchange for a proportional cut of transaction fees.
Solana’s supposed differentiating factor was augmenting proof-of-stake with proof-of-history — the ability to prove that a transaction happened at a particular moment.
Solana soared over the course of 2021, with a single token gaining 12,000% for the year and reaching $250 by November. Yet even before the collapse of FTX, Solana faced a series of public struggles, which challenged the protocol’s claim that it was a superior technology.
Much of Solana’s popularity was built around growing interest in NFTs. Serum, another exchange backed by Bankman-Fried, was built on Solana. When the calendar turned to 2022, Solana’s limitations started to become apparent.
Barely a month into the year, a network outage took Solana down for over 24 hours. Solana’s token fell from $141 to a low of a little over $94. In May, Solana experienced a seven-hour-long outage after NFT minting flooded validators and crashed the network.
A “record-breaking four million transactions [per second]” took out Solana and caused the price of its token to drop 7%, CoinTelegraph reported at the time, pushing it further into the red during the bruising onset of crypto winter.
In June, another outage prompted a 12% drop. The hours of downtime came after validators stopped processing blocks, immobilizing Solana’s touted consensus mechanism and forcing a restart of the network.
The outages were concerning enough for a protocol that sought to upend ether’s dominance and assert itself as a stable, rapid platform. Solana was experiencing growing pains in public. The project was first built in 2020 and is a younger protocol than ether, which went live in 2015.
Technology challenges are to be expected. Unfortunately for Solana, something else was brewing in the Bahamas.
The SEC called it “brazen” fraud. Bankman-Fried’s use of customer money at FTX to fund everything from trading and lending at his hedge fund, Alameda Research, to his lavish lifestyle in the Caribbean roiled the crypto markets. Bankman-Fried was released on a $250 millionbond last week while he awaits trial for fraud and other criminal chargesin the Southern District of New York.
Solana since November 2022, the month that FTX failed and filed for bankruptcy protection.
Solana lost more than 70% in total value in the weeks following FTX’s November bankruptcy filing. Investors fled from anything associated with Bankman-Fried, with prices for FTT (FTX’s native token), Solana, and Serum plunging dramatically.
Solana founder Anatoly Yakovenko told Bloomberg that rather than focusing on price action, the public should remain focused on “having people build something awesome that’s decentralized.”
Yakovenko did not immediately respond to CNBC’s request for comment.
FTT has fared the worst, losing practically all its value. But Solana has seen a continued flight in recent days, reflecting ongoing concerns about FTX contagion and skepticism about the long-term viability of its own protocol.
Developer flight is the most pressing concern. Solana’s raison d’etre was to solve bitcoin and ether’s struggle “to scale beyond 15 transactions per second worldwide,” according to developer documentation. But active developers on the platform have dropped to 67 from an October 2021 high of 159, according to Token Terminal.
Multicoin Capital, a cryptocurrency investment firm, has maintained a bullish stance on Solana. Even after the implosion of FTX, Multicoin continued to strike an optimistic tone about the suddenly beleaguered blockchain.
“We recognized that SOL was likely to underperform in the near term given the affiliation with SBF and FTX; however, since the crisis began we’ve decided to hold the position based on a variety of factors,” Multicoin wrote in a message to partners obtained by CNBC.
Multicoin, and other prominent crypto voices, maintain that the fallout from FTX underscores the need for a return to basics for the crypto industry: A transition away from juggernaut centralized exchanges in favor of decentralized finance (DeFi) and self-custody.
An uptick in daily activity at now peerless Binance might suggest that many crypto enthusiasts have yet to take that missive to heart.
It’s unsurprising that Yakovenko continues to believe in Solana. Yet even Vitalik Buterin, the man behind ethereum, voiced his support for Solana on Thursday. “Hard for me to tell from outside, but I hope the community gets its fair chance to thrive,” Buterin wrote on Twitter.
2023 may prove a seminal year for defi, as crypto-curious investors look for safer ways to garner returns and custody their assets. Bitcoin was born out of the 2008 financial crisis. Now the cryptocurrency industry faces a test of its own.
“Lehman was not the end of the banking industry. Enron was not the end of the energy industry. And FTX won’t be the end of the crypto industry,” Multicoin told investors.
– CNBC’s Ari Levy and MacKenzie Sigalos contributed to this report.
Several AI applications can be seen on a smartphone screen, including ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Meta AI, Grok and DeepSeek.
Philip Dulian | Picture Alliance | Getty Images
Corporate leaders and investors are brimming with optimism about the potential of artificial intelligence to boost worker productivity, profitability and shareholder returns.
The general public remains unconvinced.
That’s according to a report published Tuesday by nonprofit group Just Capital, examining how different groups are feeling about the potential risks and benefits of AI adoption. Between Sept. 27 and Nov. 14, Just Capital collected data from institutional investors and analysts, corporate executives and U.S. adults.
Roughly 93% of corporate leaders and 80% of investors said they believe AI will have a net positive impact on society within the next five years, according to the report. Only 58% of respondents from the public said they share that sentiment.
The survey lands three years after OpenAI kickstarted the generative AI rush with the launch of ChatGPT, sparking a flood of investments into AI infrastructure, startups and products. With some analysts forecasting that AI spending will reach into the trillions of dollars by the end of the decade, the boom is boosting excitement about economic advancement and the future of technology while simultaneously raising concerns about privacy, safety and job security.
The disparate views are particularly noticeable when looking at AI in the workplace.
Just 47% of the general public said they think AI will have a positive net impact on worker productivity, compared to 94% of investors and 98% of corporate leaders.
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Meanwhile, nearly half of respondents from the general public said they expect AI to replace workers and eliminate jobs, the report said. Only 20% of corporate leaders agreed.
Conversely, 64% of executives said AI will help workers be more productive in their current jobs, while only 23% of the public agreed.
“The survey findings reveal widespread public concern that companies’ growing adoption of AI will have swift, direct consequences for workers through job cuts,” Just Capital said.
All three categories of respondents are concerned about safety and security risks that could stem from AI, but corporate leaders and investors are especially worried about disinformation and malicious use of the technology. In addition to those categories, the public is also fears loss of control and the environmental impact of AI.
More than 40% of corporate leaders said environmental issues are not being factored into their AI deployment strategy, according to the report.
Roughly 60% of investors and half of the public said companies should spend more than 5% of their total AI investment on safety, while 59% of corporate leaders said they should spend up to 5%.
Just Capital said it will continue to track sentiments around AI deployment every quarter.
U.S. House Minority Leader Hakeem Jeffries (D-NY) raises a finger as he speaks during a press conference, more than a month into the longest U.S. government shutdown in Washington, D.C., U.S., November 10, 2025.
Evelyn Hockstein | Reuters
House Democrats are forming a commission on artificial intelligence to position themselves as leaders on the issue as AI companies train their focus — and campaign contributions — on Washington, D.C.
The House Democratic Commission on AI and the Innovation Economy, set to begin meeting this month, will work with AI companies, stakeholders and congressional committees that oversee aspects of the sector to help develop policy expertise.
The commission is a response to the growing presence of AI policy and AI companies around Washington.
AI companies are ramping up lobbying, opening offices close to the Capitol, and launching campaigns through a super PAC with at least $100 million to spend on the midterms elections in 2026.
OpenAI, Andreessen Horowitz and Google are lobbying to block state laws that regulate AI. Democrats have largely opposed that push.
House Minority Leader Hakeem Jeffries, D-N.Y., in a statement shared with CNBC about the working group, said that Democrats are “ready, willing and able to lean into those issues so we can uplift the health, safety and economic well-being of the American people.”
House Democratic Caucus vice-chair Ted Lieu, D-Calif., participates in the House Democrats’ post-caucus news conference in the U.S. Capitol on Tuesday, July 23, 2024.
Bill Clark | CQ-Roll Call, Inc. | Getty Images
Rep. Ted Lieu of California, Rep. Josh Gottheimer of New Jersey, and Rep. Valerie Foushee of North Carolina will lead the commission. Rep. Zoe Lofgren of California and Rep. Frank Pallone of Massachusetts, the top Democrats on committees that cover AI, will serve as ex-officio co-chairs. All House Democrats will be invited to participate.
Lieu drew a line between how Republicans and Democrats have handled AI issues.
He slammed the Trump administration for proposing to sell advanced chips to China, striking revenue-sharing agreements, and posting deepfake videos. Trump announced Monday that he will allow Nvidia to send advanced H200 chips to “approved customers” in China and elsewhere.
“House Democrats reject this misguided approach, which risks leaving Americans vulnerable and our competitiveness weakened,” Liu said in a statement. “Instead, Democrats will meet the moment by working with all stakeholders to develop smart, durable solutions that strengthen innovation and protect the public.”
Gottheimer said the group also wants to find ways to keep the U.S. “ahead of the curve” when it comes to AI and work with the larger industry.
“We need to ensure Congress is educated on these new technologies, that we’re putting the right policies and guardrails in place to grow and protect Americans,” he said in a statement.
The House previously had a bipartisan task force on AI that issued a report in December 2024, which laid out recommendations for action at both the Congressional and executive levels.
NVIDIA AI Computing Card captured in Hangzhou, Zhejiang Province, China on Dec. 9, 2025.
Cfoto | Future Publishing | Getty Images
U.S. authorities announced Tuesday that they have shut down yet another China-linked smuggling network that trafficked or attempted to traffic more than $160 million in export-controlled Nvidia AI chips.
According to a press release from the U.S. Attorney’s Office, two businessmen were taken into custody, while a Houston-based company and its owner have already pleaded guilty to chip smuggling as part of the wider investigation.
The case comes as Washington steps up its enforcement of export controls aimed at curbing China’s access to advanced AI technologies, including Nvidia’s Graphics Processing Units.
The operation, dubbed “Operation Gatekeeper,” exposed efforts to funnel cutting-edge AI chips — with military and civilian applications — to entities that could undermine U.S. national security, according to a statement from U.S. Attorney Nicholas J. Ganjei for the Southern District of Texas.
Newly unsealed documents show that Alan Hao Hsu, 43, of Missouri City, Texas, and his company, Hao Global LLC, pleaded guilty to smuggling and unlawful export activities on Oct. 10.
Officials said Hsu and associates had exported or attempted to export at least $160 million worth of Nvidia H100 and H200 GPUs between October 2024 and May 2025.
The H200 and H100 models, while not Nvidia’s most advanced chips, still require a special license to be shipped to China under current controls.
Hsu’s operation allegedly falsified shipping documents to misclassify the GPUs and hide their true destinations, including China, Hong Kong and other prohibited locations. Investigators traced more than $50 million in funds originating from China to help fund the scheme by Hsu and Hao Global.
Hsu, who remains free on bond, faces up to 10 years in prison at his Feb. 18 sentencing, while Hao Global could be hit with fines up to twice its illicit gains plus probation.
In a statement shared with CNBC, an Nvidia spokesperson said that export controls remain rigorous and that “even sales of older generation products on the secondary market are subject to strict scrutiny and review.”
“While millions of controlled GPUs are in service at businesses, homes, and schools, we will continue to work with the government and our customers to ensure that second-hand smuggling does not occur,” the spokesperson said.
Relabeled Nvidia GPUs
U.S. officials also charged Fanyue Gong, 43, a Chinese citizen residing in New York, and Benlin Yuan, 58, a Canadian citizen living in Ontario, as part of their investigation.
Yuan serves as CEO of a U.S. subsidiary of a Beijing-headquartered Chinese IT company, while Gong owns a New York technology firm. Both allegedly conspired independently with a Hong Kong logistics company and a China-based AI firm to evade chip controls.
Prosecutors alleged Gong used straw purchasers and intermediaries to acquire GPUs by misrepresenting the end customers as being in the U.S. or in unrestricted third countries.
Workers at U.S. warehouses would then rebrand shipments under fictitious names and mislabel them as generic parts for export to China and Hong Kong, according to the case.
Meanwhile, Yuan is accused of recruiting inspectors for the Hong Kong firm, instructing them to conceal Chinese destinations, devising cover stories to release detained shipments, and providing false information to authorities. He also allegedly handled storage for additional GPU exports.
If convicted, Yuan could face up to 20 years for conspiracy to violate the Export Control Reform Act, while Gong could receive as much as 10 years for conspiracy to smuggle.
The investigation involved the Commerce Department’s Bureau of Industry and Security, which oversees and enforces U.S. export controls, including those on Nvidia. The case comes amid a flurry of similar busts regarding unauthorized Nvidia exports in recent months.
Lawmakers have been attempting to tighten oversight of U.S. chip controls following reports of loopholes in existing rules.
However, the U.S. President signaled this week that he would allow Nvidia to ship its H200 chips to “approved customers” in China and elsewhere, on the condition that Washington gets a 25% cut on the profits.
Although the H200 isn’t state-of-the-art in Nvidia’s lineup, it would become the most advanced model available to China and could help satiate demand for AI compute power in the country.