The US Commerce Department is investigating whether DeepSeek, the Chinese AI company that recently launched a high-performing assistant, has been using US chips in violation of export restrictions. These chips are prohibited from being shipped to China, raising concerns about DeepSeek’s rapid rise in the AI sector. Within days of launching, its app became the most downloaded on Apple’s App Store, contributing to a significant drop in US tech stocks, which lost around $1 trillion in value.
The US has imposed strict limits on the export of advanced AI chips to China, particularly those made by Nvidia. These restrictions aim to prevent China from accessing the most sophisticated AI processors. However, reports suggest that AI chip smuggling from countries like Malaysia, Singapore, and the UAE may be circumventing these measures. DeepSeek has admitted to using Nvidia’s H800 chips, which were legally purchased in 2023, but it is unclear whether it has used other restricted components.
The controversy deepened when Anthropic’s CEO Dario Amodei commented that DeepSeek’s AI chip fleet likely includes both legal and smuggled chips, some of which were shipped before restrictions were fully enforced. While DeepSeek has claimed to use only the less powerful H20 chips, which are still permitted to be sold to China, the investigation continues whether these practices undermine US efforts to limit China’s access to cutting-edge AI technologies.
Germany’s SAP is seeing increasing global demand for software that helps companies manage and document sustainability efforts, despite weakening climate protection targets in the US. SAP’s CFO, Dominik Asam, stated that the need for reliable sustainability data and analysis tools will remain strong, especially with growing investor focus on the issue. This comes as the US formally announced its intention to withdraw from the Paris climate agreement, a decision set to take effect in January 2026.
Despite the shifting political landscape, Asam remains optimistic about the future of sustainability initiatives. At the World Economic Forum in Davos, he spoke with many investors who continue to show strong interest in sustainability efforts. SAP is focusing on its Green Ledger software, which aims to make sustainability reporting as verifiable as financial reporting. This will become a requirement under the European Corporate Sustainability Reporting Directive (CSRD) in 2028.
While currently used mainly by SAP and chemical company Covestro, the software is expected to see broader adoption. Asam anticipates a surge in contracts in the latter half of this year, highlighting the growing importance of sustainability reporting for businesses worldwide.
SoftBank Group is in talks to lead a funding round of up to $40 billion for OpenAI, aiming to value the AI developer at $300 billion, including the new investment. This potential round, which would set a record for a private company, comes amid the growing competition in the AI sector, notably from Chinese startup DeepSeek. Despite this, SoftBank has valued OpenAI at $260 billion, up from $150 billion just a few months ago. The funding is expected to come via convertible notes and is contingent on OpenAI restructuring its business to limit the control of its non-profit arm.
The move would be a bold bet for SoftBank and its CEO Masayoshi Son, who has about $30 billion in cash available for investment. SoftBank’s commitment to OpenAI could be as much as $25 billion, with some funds potentially directed towards OpenAI’s joint venture Stargate, which aims to secure the US position in the global AI race against China. This would add to SoftBank’s previous $15 billion commitment to Stargate.
The funding talks come as OpenAI’s valuation has surged due to its influential AI model, ChatGPT, while competing companies, such as Microsoft and Meta Platforms, continue to ramp up their own AI investments, with Microsoft alone earmarking $80 billion for AI development. Meanwhile, DeepSeek has made waves by claiming that its latest AI model was developed with significantly lower costs than its competitors, further intensifying the race in AI innovation.
Amazon has significantly increased advertising on X after withdrawing much of its spending over a year ago due to concerns about hate speech. The move signals a major shift for the e-commerce giant, which had been among several major advertisers distancing themselves from the platform.
Advertising revenue for X has fallen sharply since Elon Musk’s takeover in 2022, with monthly US ad earnings down at least 55% year-over-year. Several companies and ad agencies suspended campaigns following Musk’s endorsement of an antisemitic post. Apple, which also pulled its ads, has been considering testing advertisements on the platform again.
Samsung Electronics has warned of weak sales for its AI chips in the first quarter, citing US export restrictions on high-bandwidth memory (HBM) chips to China. These restrictions, combined with the company’s struggle to meet Nvidia’s HBM chip requirements, are expected to impact demand. Samsung’s reliance on Chinese customers for about 20% of its HBM sales makes it particularly vulnerable. Despite this, the company plans to release upgraded HBM3E products in March to address shifting market demands.
The company also reported a 29% drop in operating profit for the fourth quarter, totalling 6.5 trillion won ($4.48 billion). Samsung expects limited earnings growth in the first quarter, driven by sluggish demand in the memory chip market, particularly for smartphones and personal computers. In addition, delays in GPU production, mainly due to strong demand and engineering challenges, have affected memory chip requirements for servers in data centres.
Samsung’s mobile phone division also faced challenges, with a 22% drop in operating profit in the fourth quarter. The company’s decision to use Qualcomm’s application processors instead of its own Exynos chips for the Galaxy S25 lineup has weakened its position in the mobile chip market. Despite these hurdles, Samsung anticipates a recovery in the memory market by the second quarter, depending on its ability to supply Nvidia with advanced HBM3E chips.
While competitors SK Hynix and TSMC have benefitted from the AI boom, with record profits, Samsung’s performance in the AI chip market has fallen behind. The company’s future performance will heavily depend on its ability to secure a stronger foothold in the rapidly growing AI sector.
India’s IT minister, Ashwini Vaishnaw, has praised the Chinese startup DeepSeek for its breakthrough in affordable AI, which has disrupted the sector with a powerful model costing just $5.5 million. He likened DeepSeek’s efficient approach to his government’s efforts to develop a local AI model through the IndiaAI mission, a $1.25 billion initiative to support AI startups and infrastructure development in India.
DeepSeek’s rapid success, claiming it took just two months to build its model using Nvidia’s H800 chips, has challenged the belief that China lags behind the US in AI. The startup’s app recently surpassed OpenAI’s ChatGPT in downloads on the Apple App Store, further highlighting its impact. Vaishnaw’s comments were seen as a response to remarks made by OpenAI’s CEO Sam Altman, who had previously expressed doubts about India’s ability to compete in the AI space with a $10 million budget.
Vaishnaw pointed out that while some questioned the government’s large AI investment, DeepSeek’s achievements prove that significant results can be achieved with more modest spending. As Altman prepares to revisit India in early February, his comments from last year continue to stir debate online, especially following DeepSeek’s unexpected success in the AI race.
Altman’s visit coincides with ongoing legal issues for OpenAI in India, as the company is engaged in a copyright dispute with local digital news and book publishers. The growing attention on AI developments in India underscores the shifting dynamics in the global AI race.
Top White House advisers have raised concerns over China’s DeepSeek using a technique known as “distillation” to potentially replicate US AI models, a method where one AI system learns from another. This could allow DeepSeek to benefit from the extensive investments made by US rivals, such as OpenAI, without incurring the same costs. DeepSeek recently made waves by releasing an AI model that rivals those of US giants, at a fraction of the cost, and giving away the code for free. US tech companies, including OpenAI, are now investigating whether DeepSeek’s model may have improperly used this distillation method.
Distillation, while common in the AI industry, may violate the terms of service of models like OpenAI’s. The technique allows a newer, smaller model to benefit from the learnings of a larger, more advanced one, often without detection, especially when using open-source models. Industry experts have pointed out that blocking such practices is difficult, particularly with freely available models like Meta’s Llama and French startup Mistral’s offerings. Some US tech executives, however, are advocating for stricter export controls and customer identification measures to limit such activities.
Despite the concerns, DeepSeek has not responded to the allegations, and OpenAI has stated it will work with the US government to protect its intellectual property. However, as AI technology continues to evolve, finding a way to prevent distillation may prove to be a complex challenge. The ongoing debate highlights the growing tensions between the US and China over the use of AI and other advanced technologies.
IBM’s fourth-quarter profits exceeded expectations, driven by a surge in software demand as businesses increased IT spending. Shares rose by about 10% in extended trading, reflecting investor confidence in the company’s strategy.
The software unit posted its strongest revenue growth in five years, as companies prioritised cloud infrastructure to support data-intensive generative AI applications.
Revenue growth of at least 5% is expected for 2025, outpacing the previous year’s 3% rise. IBM’s AI-related business, covering bookings and sales, has grown to over $5 billion, gaining $2 billion in just one quarter.
The company made its ‘Granite’ AI models open-source, contrasting with rivals that charge for access, positioning itself as a leader in open AI development.
Software performance contrasted with weaker consulting results, which declined by 2% to $5.2 billion. Around 80% of IBM’s AI business comes from consulting, with the rest from software.
While businesses focus on integrating AI into long-term projects, this shift has yet to translate into higher consulting revenue. Overall, total revenue remained steady at $17.55 billion, aligning with analyst estimates.
A global law enforcement operation has shut down a series of cybercrime websites used for selling stolen data, pirated software, and hacking tools. The FBI and Europol coordinated the takedown as part of ‘Operation Talent’, targeting platforms associated with Cracked, Nulled, StarkRDP, Sellix, and MySellix.
Seizure notices appeared on the affected websites, and officials confirmed that information on customers and victims had also been obtained. Europol stated that further details would be released within 24 hours, while the FBI has not yet commented on the operation.
Reports suggest that the targeted sites played various roles in the cybercrime ecosystem, facilitating the trade of stolen login credentials, compromised credit card details, and video game cheats. A message in a Cracked Telegram channel acknowledged the seizure, with administrators expressing uncertainty over the next steps.
Authorities continue to investigate, with the crackdown highlighting ongoing efforts to disrupt cybercriminal networks. More updates are expected as officials analyse the seized data and determine potential follow-up actions.
Shares of Nvidia rose in Europe on Wednesday, signalling a potential recovery after a sharp decline earlier in the week. The company, a key player in the AI sector, saw its Frankfurt-listed shares increase by 2%, following an 8.9% gain on Wall Street the previous day. This bounce came after a steep drop in Nvidia’s market value on Monday, triggered by the emergence of China’s DeepSeek AI tool, which posed a challenge to established players like OpenAI’s ChatGPT.
The decline in Nvidia’s stock earlier in the week saw the company lose nearly $600 billion in market value, marking the largest single-day loss in history for any company. However, markets showed signs of stabilising on Wednesday, bolstered by a surge in shares of ASML, the Dutch company that manufactures tools for chip production. ASML’s 11% jump helped lift European tech stocks, with chipmakers BE Semiconductor and ASM International also posting solid gains.
Investors seemed to regain confidence, with some believing that DeepSeek’s advancements might not disrupt the broader AI market. According to market strategist Chris Weston, the innovation from DeepSeek could even generate new demand for Nvidia’s GPUs, which are critical for AI applications. Meanwhile, Microsoft and OpenAI are investigating whether DeepSeek improperly used data from ChatGPT’s technology.
As markets remain volatile, investors are now looking ahead to earnings reports from major tech giants like Nvidia, Apple, and Microsoft, which could provide more clarity on the sector’s outlook. Despite ongoing uncertainties, the overall sentiment in the tech sector appeared more positive by midweek.
