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D-Wave CEO responds to Jensen Huang's quantum comments

D-Wave Quantum CEO Alan Baratz said Nvidia’s Jensen Huang is “dead wrong” about quantum computing after comments from the head of the chip giant spooked Wall Street on Wednesday.

Huang was asked Tuesday about Nvidia’s strategy for quantum computing. He said Nvidia could make conventional chips that are needed alongside quantum computing chips, but that those computers would need 1 million times the number of quantum processing units, called qubits, that they currently have.

Getting “very useful quantum computers” to market could take 15 to 30 years, Huang told analysts.

Huang’s remarks sent stocks in the nascent industry slumping, with D-Wave plunging 36% on Wednesday.

“The reason he’s wrong is that we at D-Wave are commercial today,” Baratz told CNBC’s Deirdre Bosa on “The Exchange.” Baratz said companies including Mastercard and Japan’s NTT Docomo “are using our quantum computers today in production to benefit their business operations.”

“Not 30 years from now, not 20 years from now, not 15 years from now,” Baratz said. “But right now today.”

D-Wave’s revenue is still minimal. Sales in the latest quarter fell 27% to $1.9 million from $2.6 million a year earlier.

Quantum computing promises to solve problems that are difficult for current processors, such as decoding encryption, generating random numbers and large-scale simulations. Technologists have been working on it for decades, and companies including Nvidia, Microsoft and IBM are pursuing it today, alongside researchers at startups and universities.

Jensen Huang, co-founder and chief executive officer of Nvidia Corp., speaks while holding a Project Digits computer during the 2025 CES event in Las Vegas, Nevada, US, on Monday, Jan. 6, 2025. Huang announced a raft of new chips, software and services, aiming to stay at the forefront of artificial intelligence computing. Photographer: Bridget Bennett/Bloomberg via Getty Images

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D-Wave was among a number of companies that enjoyed a revival of interest from investors in December, when Google announced a breakthrough in its own research. Google said it had completed a 100 qubit chip, the second of six steps in its strategy to build a quantum system with 1 million qubits.

D-Wave shares soared 178% in December after popping 185% the month prior. Quantum company Rigetti Computing, which plummeted 45% on Wednesday, quintupled in value last month. IonQ dropped 39% on Wednesday. The stock rose 14% in December following a 143% rally in November.

Baratz acknowledged that one approach to quantum computing, called gate-based, may be decades away. But he said uses an annealing approach, which can be deployed now.

While Huang’s “comments may not be totally off-base for gate model quantum computers, well, they are 100% off base for annealing quantum computers,” Baratz said.

Nvidia declined to comment.

Even after Wednesday’s slide, D-Wave shares are up about 600% in the last year, giving the company a market cap of $1.6 billion.

Quantum computing has also been boosted by investor interest in artificial intelligence, the technology that’s led to surging demand for Nvidia’s graphics processing units, which use conventional transistors instead of qubits. Nvidia’s market cap has increased by 168% in the past year to $3.4 trillion.

Baratz said D-Wave systems can solve problems beyond the capabilities of the fastest Nvidia-equipped systems.

“l’ll be happy to meet with Jensen any time, any place, to help fill in these gaps for him,” Baratz said.

WATCH: D-Wave CEO responds to Huang’s comments

D-Wave CEO responds to Jensen Huang's quantum comments

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TeraWulf stock jumps more than 10% as Google boosts stake in data center operator

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TeraWulf stock jumps more than 10% as Google boosts stake in data center operator

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TeraWulf stock rallied more than 10% after Google hiked its stake in the bitcoin miner and data center operator as it funds an expansion of its Lake Mariner, New York, facility.

As part of the deal, Google will offer up to $1.4 billion in additional backstop, bringing its total to about $3.2 billion. It hikes Google’s stake in TeraWulf to 14% from 8% and enables the tech giant to buy about 32.5 million shares of the company’s stock.

TeraWulf CEO Paul Prager said in a release that the agreement solidifies the company’s “strategic alignment with Google” to help build advanced artificial intelligence infrastructure.

Last week, shares skyrocketed after the company signed two 10-year computing deals with AI cloud provider Fluidstack to offer more than 200 megawatts of capacity at its Lake Mariner data center space in western New York.

Shares of TeraWulf are up about 90% over the last week.

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“This is a game changer in the industry,” Prager told CNBC’s “Power Lunch” last week. “If you have quality energy infrastructure and a management team and folks on the ground that understand how to extract value for it, this is the time, Lake Mariner is the place.”

Monday’s announcement hikes critical IT load to more than 360 MW, with Fluidstack exercising an option for another 160 MW at Lake Mariner. TeraWulf also said the deal equals $6.7 billion in contracted revenue and could reach as much as $16 billion through lease extensions.

Operations are expected to start in the second half of 2026.

“Fluidstack’s decision to expand so soon after our initial agreement speaks volumes about the quality, readiness, and scalability of our infrastructure,” TeraWulf CTO Nazar Khan said in a release.

Separately, TeraWulf also said it will offer $400 million in convertible senior notes due in 2031.

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Terawulf CEO on Google investment: Building one of the largest data center campuses in the U.S.

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Bitcoin sinks to $115,000 after hitting its newest record, as macro concerns spark liquidation wave

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Bitcoin sinks to 5,000 after hitting its newest record, as macro concerns spark liquidation wave

A worsening macroeconomic climate and the collapse of industry giants such as FTX and Terra have weighed on bitcoin’s price this year.

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The crypto market tumbled to begin the week as heightened macro concerns triggered more than $500 million in forced selling of long positions.

The price of bitcoin was last lower by 2% at $115,255.70, after touching a new all-time high last week – its fourth one this year – at $124,496. At one point, it fell as low as $114,706. Ether slid 4% to $4,283.15 after coming within spitting distance of its roughly $4,800 record last week. Both coins rolled over after higher-than-expected July wholesale inflation data raised questions over a Federal Reserve rate cut in September.

Investors’ profit-taking triggered a wave of liquidations across the crypto market.

In the past 24 hours, sales from 131,455 traders totaled $552.58 million, according to Coin Metrics. That figure includes about $123 million in long bitcoin liquidations and $178 million in long ether liquidations. This happens when traders are forced to sell their assets at market price to settle their debts, pushing prices lower.

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Bitcoin briefly dropped below $115,000 after reaching nearly $125,000 last week

Adding to investor disappointment were comments from Treasury Secretary Scott Bessent, who clarified Thursday that the strategic bitcoin reserve President Donald Trump established back in March will be confined to bitcoin forfeited to the federal government, as it explores “budget-neutral pathways to acquire more bitcoin.”

The top cryptocurrencies by market cap fell with the blue-chip coins, with the CoinDesk 20 index, a measure of the broader crypto market, down 3.7%. Crypto related stocks were under pressure premarket, led by ether treasury stocks. Bitmine Immersion was down 6% and SharpLink Gaming fell 3%. Crypto exchange Bullish, which made its public trading debut last week, was also lower by 3%.

This week, investors are keeping an eye on the Fed’s annual economic symposium in Jackson Hole, Wyoming for clues around what could happen at the central bank’s remaining policy meetings this year. Crypto traders also will be watching Thursday’s jobless claims data.

Last week’s test of bitcoin and ether highs surprised traders who expected an August pullback for cryptocurrencies, expecting macro concerns to steal focus from recent momentum around crypto’s institutional and corporate adoption – especially in what has historically proven a weak trading month for many markets – until the September Fed meeting.

Many see pullbacks this month as healthy and strategic cooldowns rather than reactions to crisis, thanks largely to support from crypto ETFs as well as companies focused on aggressively accumulating bitcoin and ether. Although ETFs tracking the price of bitcoin and ether posted net outflows on Friday, they logged net inflows of $547 million and $2.9 billion, respectively, for the week. For ETH funds it was a record week of inflows as well as their 14th consecutive week of inflows.

Don’t miss these cryptocurrency insights from CNBC Pro:

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OpenAI’s Sam Altman sees AI bubble forming as industry spending surges

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OpenAI's Sam Altman sees AI bubble forming as industry spending surges

OpenAI Co-Founder and CEO Sam Altman speaks at Snowflake Summit in San Francisco on June 2, 2025.

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OpenAI CEO Sam Altman thinks the artificial intelligence market is in a bubble, according to a report from The Verge published Friday. 

“When bubbles happen, smart people get overexcited about a kernel of truth,” Altman told a small group of reporters last week.

“Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes. Is AI the most important thing to happen in a very long time? My opinion is also yes,” he was quoted as saying. 

Altman appeared to compare this dynamic to the infamous dot-com bubble, a stock market crash centered on internet-based companies that led to massive investor enthusiasm during the late 1990s. Between March 2000 and October 2002, the Nasdaq lost nearly 80% of its value after many of these companies failed to generate revenue or profits. 

His comments add to growing concern among experts and analysts that investment in AI is moving too fast. Alibaba co-founder Joe Tsai, Bridgewater Associates’ Ray Dalio and Apollo Global Management chief economist Torsten Slok have all raised similar warnings.

Last month, Slok stated in a report that he believed the AI bubble of today was, in fact, bigger than the internet bubble, with the top 10 companies in the S&P 500 more overvalued than they were in the 1990s. 

In an email to CNBC on Monday, Ray Wang, CEO of Silicon Valley-based Constellation Research, told CNBC that he thought Altman’s comments carry some validity, but that the risks are company-dependent. 

Watch CNBC's full interview with OpenAI CEO Sam Altman

“From the perspective of broader investment in AI and semiconductors… I don’t see it as a bubble. The fundamentals across the supply chain remain strong, and the long-term trajectory of the AI trend supports continued investment,” he said. 

However, he added that there is an increasing amount of speculative capital chasing companies with weaker fundamentals and only perceived potential, which could create pockets of overvaluation. 

Many Fears of an AI bubble had hit a fever pitch at the start of this year when Chinese start-up DeepSeek released a competitive reasoning model. The company claimed one version of its advanced large language models had been trained for under $6 million, a fraction of the billions being spent by U.S. AI market leaders like OpenAI, though these claims were also been met with some skepticism.

Earlier this month, Altman told CNBC that OpenAI’s annual recurring revenue is on track to pass $20 billion this year, but that despite that, it remains unprofitable. 

The release of OpenAI’s latest GPT-5 AI model earlier this month had also been rocky, with some critics complaining that it had a less intuitive feel. This resulted in the company restoring access to legacy GPT-4 models for paying customers.

Following the release of the model, Altman has also signaled more caution about some of the AI industry’s more bullish predictions.

Speaking to CNBC, he said that he thought the term artificial general intelligence, or “AGI,” is losing relevance, when asked whether the GPT-5 model moves the world any closer to achieving AGI. 

AGI refers to the concept of a form of artificial intelligence that can perform any intellectual task that a human can — something that OpenAI has been working towards for years and that Altman previously said could be achieved in the “reasonably close-ish future.

Regardless, faith in OpenAI from investors has remained strong this year. CNBC confirmed Friday that the company was preparing to sell around $6 billion in stock as part of a secondary sale that would value it at roughly $500 billion. 

In March, it had announced a $40 billion funding round at a $300 billion valuation, by far the largest amount ever raised by a private tech company. 

In The Verge article on Friday, the OpenAI CEO also discussed OpenAI’s expansion into consumer hardware, brain-computer interfaces and social media. 

Altman also said that he expects OpenAI to spend trillions of dollars on its data center buildout in the “not very distant future,”  and signaled that the company would be interested in buying Chrome if the U.S. government were to force Google to sell it. 

Asked if he would be CEO of OpenAI in a few years, he was quoted as saying, “I mean, maybe an AI is in three years. That’s a long time.”

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