Chinese internet users have been captivated by the DeepSeek AI app, which has gained immense popularity since its launch during the Lunar New Year holiday. Users have explored its predictive and analytical capabilities, with some posing questions on politics, economics, and even personal matters. For example, law professor Wang Jiangyu asked how China should respond to US President Donald Trump’s tariffs, receiving a comprehensive seven-point answer that included potential new tariffs on US industries and other strategic moves. The model’s detailed responses have impressed users, though it censors certain politically sensitive topics, such as questions about Xi Jinping or the Tiananmen Square protests.
DeepSeek’s low-cost yet powerful AI has made waves in the tech sector, surpassing ChatGPT in downloads on the Apple App Store. The Hangzhou-based startup has become a source of national pride, with users sharing personal experiences, such as using the app to predict their fortunes or interpret dreams. This surge in popularity has drawn attention to the company’s rapid growth, and its founder, Liang Wengfeng, has emerged as a pop culture figure.
Despite its success, DeepSeek’s claims about the minimal cost of training its latest AI model—less than $6 million in computing power—have raised scepticism among some experts. Nevertheless, the platform’s effectiveness has prompted comparisons to the billions invested by US tech giants in AI development. The app’s rapid rise has also led to investigations by authorities in several countries, including Japan, South Korea, and several European nations, over concerns about its handling of personal data.
SoftBank Group CEO Masayoshi Son announced on Monday that he has agreed with OpenAI CEO Sam Altman to establish a joint venture in Japan, called SB OpenAI Japan, to offer AI services to corporate clients. This venture will be jointly owned by OpenAI and a company set up by SoftBank and its telecoms arm. In addition, SoftBank will pay $3 billion annually to integrate OpenAI’s technology across its group companies.
Son’s involvement with OpenAI is deepening, with reports indicating that SoftBank plans to invest between $15 billion and $25 billion in the company. SoftBank is also committing $15 billion to Stargate, a joint venture with OpenAI and Oracle to build AI capacity in the US. Son’s support for OpenAI follows a period of retrenchment for the investment giant, but he is reasserting his influence in the tech sector after setbacks in SoftBank’s tech portfolio.
In the context of rising competition, China’s DeepSeek has prompted some investors to question the immense funds being poured into US-based AI companies. However, Altman believes global demand for AI computing power will continue to surge. Son and Altman also met with Japanese Prime Minister Shigeru Ishiba on Monday to discuss further developments.
DeepSeek, a Chinese AI company, is shaking up the ΑΙ landscape by offering technology at a significantly lower cost compared to US competitors like OpenAI. Hemanth Mandapati, CEO of German startup Novo AI, recently switched to DeepSeek’s chatbot services, noting that the transition was quick and easy, and the cost savings were substantial. Mandapati reported that DeepSeek’s pricing was five times lower than what he was paying, with no noticeable difference in user performance. Analysts estimate that DeepSeek’s prices are 20 to 40 times cheaper than OpenAI’s, making it an attractive option for many startups.
The rise of DeepSeek is seen as a potential game-changer, particularly in Europe, where tech startups have struggled to compete with their US counterparts due to limited funding. Some believe DeepSeek’s low-cost offerings could democratise AI and help level the playing field with major tech companies. However, concerns about DeepSeek’s data practices, particularly regarding the potential copying of OpenAI’s data or censorship of Chinese content, have raised regulatory questions across Europe.
Despite scepticism around the actual cost of DeepSeek’s training and data usage, the company has garnered significant attention, especially after its model topped the productivity app rankings on the Apple App Store. Industry leaders argue that this shift in pricing could spark a broader movement in AI, with smaller companies gaining more access to advanced technologies without needing large budgets. This could foster innovation across the sector, although major corporations remain cautious due to security and integration concerns.
As the cost of AI continues to fall, competition is intensifying. For example, Microsoft recently made OpenAI’s reasoning model available for free to users of its Copilot platform. While price is becoming a dominant factor in AI adoption, industry experts suggest that trust and security certifications will still play a critical role for larger businesses when choosing their AI partners.
Alphabet’s self-driving unit, Waymo, has announced plans to expand testing of its autonomous driving technology into over 10 new cities by 2025. The company highlighted successful adaptation of its Waymo Driver system in diverse environments, encouraging this expansion. Current test sites include destinations such as Michigan’s Upper Peninsula and Tokyo, with new testing set to include San Diego and Las Vegas, among other yet-to-be-revealed locations.
The testing process will begin with manual driving through high-traffic and complex areas, including city centres and freeways. Trained human specialists will oversee the vehicles during this phase. Each city will host fewer than 10 vehicles for several months to collect data and refine the technology. Waymo previously expanded its autonomous ride-hailing service to Miami, Florida, as part of its broader strategy to capture market share in the competitive autonomous vehicle industry.
Waymo’s growth comes as the firm faces heightened scrutiny from regulators following incidents involving autonomous driving systems. In October, the company secured $5.6 billion in funding led by parent company Alphabet, aimed at bolstering its technological advancements and operational expansion.
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.
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.
Ericsson and Bahrain Telecommunications Company (Batelco) have partnered to expand and modernise Batelco’s mobile broadband network in Bahrain, enhancing 4G and 5G capabilities, coverage, and capacity. Batelco has deployed Ericsson’s latest Radio Access Network (RAN) products, including massive MIMO antennas.
It has upgraded its Core network infrastructure to the latest Network Function Virtualisation Infrastructure (NFVI) release to handle increased voice and data traffic. Energy-efficient solutions like dual-mode triple band radios and Interleaved AIR 3218 have been integrated, reducing space requirements and energy consumption by up to 20% while improving network performance.
Additionally, Batelco has modernised its Ericsson Mediation system to a cloud-native platform, improving operational efficiency and supporting applications such as IoT and 5G standalone use cases. The new platform ensures scalability, flexibility, and faster time-to-market for future-ready network services.
These advancements collectively strengthen Batelco’s network, making it more efficient, sustainable, and capable of meeting the growing demands of consumers and businesses in Bahrain. The collaboration with Ericsson ensures that Batelco’s infrastructure is future-proof, optimised for resource utilisation, and ready to support emerging technologies.
DeepSeek, a Chinese tech company, has made waves in the AI sector with a breakthrough that challenges the dominance of US tech giants. The company claims it can develop AI models that rival or surpass Western counterparts at a fraction of the cost, sparking concerns about America’s lead in the industry. In response, the CEOs of Microsoft and Meta have defended their substantial investments in AI infrastructure, emphasising that such spending is necessary to meet growing demand and stay competitive.
Microsoft and Meta have committed billions to AI, with Microsoft earmarking $80 billion for the current fiscal year and Meta pledging up to $65 billion. Both companies argue that expanding their computing networks is critical to addressing the increasing demands of AI applications. Microsoft’s CEO Satya Nadella highlighted the need to overcome capacity constraints, while Meta’s Mark Zuckerberg stressed that heavy investment would give them a strategic advantage over time.
Despite these bold investments, there are signs of investor frustration. Microsoft’s shares recently fell 5% following disappointing growth forecasts for its cloud business, and Wall Street analysts are calling for clearer plans on how these investments will translate into profits. Meta also sent mixed signals, reporting a strong fourth quarter but offering a weak sales outlook, leaving some to question the long-term payoff of their AI ventures.
There are indications that both companies may adjust their approach. Microsoft’s CFO, Amy Hood, noted that while they will continue investing in AI, the pace of spending will slow in the coming years, signalling a shift towards more sustainable growth. As the AI race heats up, it remains to be seen whether these large investments will eventually lead to the anticipated returns.
