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Bitcoin was far and away the best-performing asset class in 2024 as new exchange-traded funds ushered in more widespread adoption and hopes for deregulation under a new presidential administration lifted digital assets to record levels.

But owning cryptocurrency also came with its usual unpredictability and dizzying swings, as this month’s trading clearly illustrates. Bitcoin has more than doubled in price since starting the year in the $40,000 range, with it last trading near $95,500. Ether has scored a nearly 50% year-to-date gain, and last traded at around the $3,400 level.

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Bitcoin and ether since the start of 2024

The most prosperous stretch of the year occurred in the weeks following the U.S. presidential election. By mid-December, the cryptocurrency had rocketed above $108,000 for the first time, fueled by optimism that President-elect Donald Trump‘s victory over Vice President Kamala Harris would open the door for greater regulatory clarity and send new money rushing into the sector.

Since then, however, prices have eased. Bitcoin is negative for the month, hurt by the expectation that the Federal Reserve’s rate cuts will roll out at a slower-than-anticipated pace. The market has also faced a stretch of apparent profit-taking and choppiness into the end of the year.

The year began with a strong boost of confidence from the introduction in January of new ETFs that hold the cryptocurrency. The funds, which are pitched by asset managers as a simpler way for investors to access bitcoin, have pulled in tens of billions of dollars of cash this year. The iShares Bitcoin Trust ETF (IBIT) now has more than $50 billion in assets.

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Microstrategy shares this year

Ether ETFs joined the excitement in July. The demand for those funds has not been as strong as for their bitcoin counterparts, but the category has still attracted more than $2 billion in net inflows in less than six months, according to FactSet.

Strong tail winds for cryptocurrencies also lifted connected stocks to record levels. Bitcoin proxy Microstrategy has surged 388% since the start of the year, while Coinbase and Robinhood have rallied about 47% and 200%, respectively. MicroStrategy shares have surged since mid-December as the company was added into the Nasdaq 100 index.

Some mining stocks, however, haven’t performed as well, with Mara Holdings and Riot Platforms on track for double-digit year-to-date losses. The drop in mining stocks may be a direct result of this year’s bitcoin halving, which reduced the block rewards. Along with transaction fees, this is one of the most significant ways miners make money.

CNBC’s Jesse Pound contributed reporting.

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Global chip stocks climb as Foxconn’s bumper results show a continuation of the AI boom

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Global chip stocks climb as Foxconn's bumper results show a continuation of the AI boom

Jakub Porzyck | Nurphoto | Getty Images

Global semiconductor stocks climbed on Monday after contract electronics giant Foxconn announced record fourth-quarter revenues, suggesting the artificial intelligence boom has far more room to run.

Hon Hai Precision Industry, which does business as Foxconn internationally, said in a Sunday statement that the company’s fourth-quarter revenue totaled 2.1 trillion New Taiwan dollars ($63.9 billion), growing 15% year-over-year.

Foxconn — which is a supplier to Apple — also set a record, posting the highest fourth-quarter revenue ever in company history, according to the statement.

The firm’s bumper revenue performance was driven by growth in its cloud and networking products — which includes AI servers like those designed by the likes of chipmaker Nvidia — and components and other products segments.

Computing products and smart consumer electronics — which numbers iPhone and other smartphones — saw “slight declines,” Foxconn said.

Shares of several semiconductor firms across Asia, Europe and the U.S. rose, as a result.

In Asia, TSMC hit a record high Monday and closed 1.9% higher in Taiwan.

The largest semiconductor manufacturer globally, TSMC produces chips for the likes of AMD and Nvidia.

Other Asian chip firms also logged share price gains — South Korea’s SK Hynix and Samsung rose nearly 10% and 4%, respectively.

In Europe, globally critical semiconductor equipment firm ASML saw its shares jump almost 6%, while fellow Dutch chip company ASMI’s stock rose almost 5%. Germany’s Infineon surged more than 6%.

The momentum in semi stocks could last as they have great earnings momentum, says Jim Cramer

Paris-listed shares of European contract chipmaker STMicroelectronics rose nearly 6%.

Stateside, Nvidia got a boost from the Foxconn numbers, climbing 2% in U.S. premarket trading.

Also boosting chip stocks on Monday was Microsoft’s announcement at the end of last week about plans to invest $80 billion in 2025 on data centers that can handle AI workloads.

Microsoft is one of several tech giants splurging on GPUs (graphics processing units) from Nvidia to train and run the most advanced AI models.

AMD, Nvidia’s closest rival, rose 3% in pre-market trading Monday, while fellow U.S. chip firms Qualcomm and Broadcom both climbed almost 2%.

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Volkswagen and Xpeng to build super-fast charging network in China for EVs

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Volkswagen and Xpeng to build super-fast charging network in China for EVs

Top Volkswagen and Xpeng executives pose at the German automaker’s launch event in Beijing, China, on Aug. 24, 2024.

Bloomberg | Bloomberg | Getty Images

Shares of Volkswagen and Xpeng both rose on Monday after the two firms announced plans to expand their partnership in electric vehicle charging stations in China.

The German automaker and Chinese electric car firm signed a memorandum of understanding in which they pledged to open their respective super-fast charging networks to each others’ customers. The collaboration will see more than 20,000 charging points operated by both firms in 420 cities across China.

Xpeng’s Hong Kong-listed shares closed 3.4% higher on Monday. Volkswagen was up 2% in early trade in Europe.

Volkswagen and Xpeng will explore cooperation on co-branded super-fast charging stations, the companies said.

“Through our strategic collaboration with XPENG, we will form one of the largest Super Fast Charging Networks in China enabling people to seamlessly integrate e-mobility into their daily lives not only in the metropolises but also in remote cities,” said Olaf Korzinovski, executive vice president of Volkswagen Group China.

Charging points are becoming a key battleground in the electric vehicle space because they provide the necessary infrastructure that allows people to drive further in battery-powered cars if they need to recharge. Tesla has also been expanding its Supercharger network in China.

Volkswagen has ramped up its focus on China. In 2023, it invested around $700 million in Xpeng, taking a 4.99% stake in the firm. The German automaker is aiming to offer at least 30 fully electric models across its brands in China by 2030.

Xpeng and Volkswagen are also looking to jointly develop two electric cars for delivery in China in 2026.

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How AI regulation could shake out in 2025

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How AI regulation could shake out in 2025

U.S. President-elect Donald Trump and Elon Musk watch the launch of the sixth test flight of the SpaceX Starship rocket in Brownsville, Texas, on Nov. 19, 2024.

Brandon Bell | Via Reuters

The U.S. political landscape is set to undergo some shifts in 2025 — and those changes will have some major implications for the regulation of artificial intelligence.

President-elect Donald Trump will be inaugurated on Jan. 20. Joining him in the White House will be a raft of top advisors from the world of business — including Elon Musk and Vivek Ramaswamy — who are expected to influence policy thinking around nascent technologies such as AI and cryptocurrencies.

Across the Atlantic, a tale of two jurisdictions has emerged, with the U.K. and European Union diverging in regulatory thinking. While the EU has taken more of a heavy hand with the Silicon Valley giants behind the most powerful AI systems, Britain has adopted a more light-touch approach.

In 2025, the state of AI regulation globally could be in for a major overhaul. CNBC takes a look at some of the key developments to watch — from the evolution of the EU’s landmark AI Act to what a Trump administration could do for the U.S.

Musk’s U.S. policy influence

Elon Musk walks on Capitol Hill on the day of a meeting with Senate Republican Leader-elect John Thune (R-SD), in Washington, U.S. December 5, 2024. 

Benoit Tessier | Reuters

Although it’s not an issue that featured very heavily during Trump’s election campaign, artificial intelligence is expected to be one of the key sectors set to benefit from the next U.S. administration.

For one, Trump appointed Musk, CEO of electric car manufacturer Tesla, to co-lead his “Department of Government Efficiency” alongside Ramaswamy, an American biotech entrepreneur who dropped out of the 2024 presidential election race to back Trump.

Matt Calkins, CEO of Appian, told CNBC Trump’s close relationship with Musk could put the U.S. in a good position when it comes to AI, citing the billionaire’s experience as a co-founder of OpenAI and CEO of xAI, his own AI lab, as positive indicators.

“We’ve finally got one person in the U.S. administration who truly knows about AI and has an opinion about it,” Calkins said in an interview last month. Musk was one of Trump’s most prominent endorsers in the business community, even appearing at some of his campaign rallies.

There is currently no confirmation on what Trump has planned in terms of possible presidential directives or executive orders. But Calkins thinks it’s likely Musk will look to suggest guardrails to ensure AI development doesn’t endanger civilization — a risk he’s warned about multiple times in the past.

“He has an unquestioned reluctance to allow AI to cause catastrophic human outcomes – he’s definitely worried about that, he was talking about it long before he had a policy position,” Calkins told CNBC.

Currently, there is no comprehensive federal AI legislation in the U.S. Rather, there’s been a patchwork of regulatory frameworks at the state and local level, with numerous AI bills introduced across 45 states plus Washington D.C., Puerto Rico and the U.S. Virgin Islands.

The EU AI Act

The European Union is so far the only jurisdiction globally to drive forward comprehensive rules for artificial intelligence with its AI Act.

Jaque Silva | Nurphoto | Getty Images

The European Union has so far been the only jurisdiction globally to push forward with comprehensive statutory rules for the AI industry. Earlier this year, the bloc’s AI Act — a first-of-its-kind AI regulatory framework — officially entered into force.

The law isn’t yet fully in force yet, but it’s already causing tension among large U.S. tech companies, who are concerned that some aspects of the regulation are too strict and may quash innovation.

In December, the EU AI Office, a newly created body overseeing models under the AI Act, published a second-draft code of practice for general-purpose AI (GPAI) models, which refers to systems like OpenAI’s GPT family of large language models, or LLMs.

The second draft included exemptions for providers of certain open-source AI models. Such models are typically available to the public to allow developers to build their own custom versions. It also includes a requirement for developers of “systemic” GPAI models to undergo rigorous risk assessments.

The Computer & Communications Industry Association — whose members include Amazon, Google and Meta — warned it “contains measures going far beyond the Act’s agreed scope, such as far-reaching copyright measures.”

The AI Office wasn’t immediately available for comment when contacted by CNBC.

It’s worth noting the EU AI Act is far from reaching full implementation.

As Shelley McKinley, chief legal officer of popular code repository platform GitHub, told CNBC in November, “the next phase of the work has started, which may mean there’s more ahead of us than there is behind us at this point.”

For example, in February, the first provisions of the Act will become enforceable. These provisions cover “high-risk” AI applications such as remote biometric identification, loan decisioning and educational scoring. A third draft of the code on GPAI models is slated for publication that same month.

European tech leaders are concerned about the risk that punitive EU measures on U.S. tech firms could provoke a reaction from Trump, which might in turn cause the bloc to soften its approach.

Take antitrust regulation, for example. The EU’s been an active player taking action to curb U.S. tech giants’ dominance — but that’s something that could result in a negative response from Trump, according to Swiss VPN firm Proton’s CEO Andy Yen.

“[Trump’s] view is he probably wants to regulate his tech companies himself,” Yen told CNBC in a November interview at the Web Summit tech conference in Lisbon, Portugal. “He doesn’t want Europe to get involved.”

UK copyright review

Britain’s Prime Minister Keir Starmer gives a media interview while attending the 79th United Nations General Assembly at the United Nations Headquarters in New York, U.S. September 25, 2024.

Leon Neal | Via Reuters

One country to watch for is the U.K. Previously, Britain has shied away from introducing statutory obligations for AI model makers due to the fear that new legislation could be too restrictive.

However, Keir Starmer’s government has said it plans to draw up legislation for AI, although details remain thin for now. The general expectation is that the U.K. will take a more principles-based approach to AI regulation, as opposed to the EU’s risk-based framework.

Last month, the government dropped its first major indicator for where regulation is moving, announcing a consultation on measures to regulate the use of copyrighted content to train AI models. Copyright is a big issue for generative AI and LLMs, in particular.

Most LLMs use public data from the open web to train their AI models. But that often includes examples of artwork and other copyrighted material. Artists and publishers like the New York Times allege that these systems are unfairly scraping their valuable content without consent to generate original output.

To address this issue, the U.K. government is considering making an exception to copyright law for AI model training, while still allowing rights holders to opt out of having their works used for training purposes.

Appian’s Calkins said that the U.K. could end up being a “global leader” on the issue of copyright infringement by AI models, adding that the country isn’t “subject to the same overwhelming lobbying blitz from domestic AI leaders that the U.S. is.”

U.S.-China relations a possible point of tension

U.S. President Donald Trump, right, and Xi Jinping, China’s president, walk past members of the People’s Liberation Army (PLA) during a welcome ceremony outside the Great Hall of the People in Beijing, China, on Thursday, Nov. 9, 2017.  

Qilai Shen | Bloomberg | Getty Images

Lastly, as world governments seek to regulate fast-growing AI systems, there’s a risk geopolitical tensions between the U.S. and China may escalate under Trump.

In his first term as president, Trump enforced a number of hawkish policy measures on China, including a decision to add Huawei to a trade blacklist restricting it from doing business with American tech suppliers. He also launched a bid to ban TikTok,which is owned by Chinese firm ByteDance, in the U.S. — although he’s since softened his position on TikTok.

China is racing to beat the U.S. for dominance in AI. At the same time, the U.S. has taken measures to restrict China’s access to key technologies, mainly chips like those designed by Nvidia, which are required to train more advanced AI models. China has responded by attempting to build its own homegrown chip industry.

Technologists worry that a geopolitical fracturing between the U.S. and China on artificial intelligence could result in other risks, such as the potential for one of the two to develop a form of AI smarter than humans.

Max Tegmark, founder of the nonprofit Future of Life Institute, believes the U.S. and China could in future create a form of AI that can improve itself and design new systems without human supervision, potentially forcing both countries’ governments to individually come up with rules around AI safety.

“My optimistic path forward is the U.S. and China unilaterally impose national safety standards to prevent their own companies from doing harm and building uncontrollable AGI, not to appease the rivals superpowers, but just to protect themselves,” Tegmark told CNBC in a November interview.

Governments are already trying to work together to figure out how to create regulations and frameworks around AI. In 2023, the U.K. hosted a global AI safety summit, which the U.S. and China administrations both attended, to discuss potential guardrails around the technology.

– CNBC’s Arjun Kharpal contributed to this report

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