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.
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.
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.
SoftBank is reportedly in talks to invest up to $25 billion in OpenAI, the owner of ChatGPT, as part of its broader push into the AI sector. The investment, which could range from $15 billion to $25 billion, would go towards supporting OpenAI’s commitment to Stargate, a joint venture between SoftBank, Oracle, and OpenAI aimed at securing the US’s lead in the global AI race. This deal would be in addition to the $15 billion SoftBank has already committed to the Stargate initiative, although the talks are still in the early stages.
Stargate, which plans to invest up to $500 billion, has garnered attention as a major player in the competition between the US and China over AI dominance. However, the recent rise of DeepSeek, a Chinese startup that has shaken up the market with its low-cost AI model, has put pressure on SoftBank’s plans. Despite a surge in SoftBank’s share price following the Stargate announcement, the company has seen its stock drop more than 12% due to the market response to DeepSeek’s success.
SoftBank CEO Masayoshi Son’s strategy to secure a significant stake in OpenAI and fulfil Stargate’s goals has reportedly been reviewed and approved by OpenAI’s board. SoftBank had previously acquired a $1.5 billion stake in OpenAI, which was valued at $157 billion in its latest funding round. Despite the ongoing discussions, both SoftBank and OpenAI have declined to comment on the latest investment talks.
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.
TikTok has announced a $3.8 billion investment in a data hosting centre in Thailand, marking a significant expansion of its digital infrastructure in the region. The project, managed through the company’s Singapore-based unit, is expected to support affiliated businesses and begin operations in 2026, according to Thailand’s Board of Investment.
The move comes amid a wave of tech investment in Thailand, with companies such as Google, Amazon Web Services, and Microsoft all committing billions to establish data centres in the country. The Thai government hopes these developments will strengthen its digital economy and push the nation closer to becoming a regional technology hub.
TikTok’s decision to invest follows increased scrutiny over data privacy and security worldwide. As governments tighten regulations on tech firms, establishing regional data centres has become a strategic move for companies looking to maintain compliance and expand their presence in key markets.
San Francisco-based startup Waterlily has raised $7 million in seed funding to expand its AI-driven platform for long-term care planning. Founded by Lily Vittayarukskul, the company helps families and financial advisors predict care costs and create tailored financial strategies. Using machine learning and data from government and insurance sources, Waterlily provides personalised recommendations on funding options, such as life insurance and long-term care policies.
Waterlily’s technology was inspired by Vittayarukskul’s personal experience of caring for her aunt, which exposed the financial and emotional strain of long-term care. The platform’s predictive AI can be used for individuals over 40, offering insights into when and how they may need care. The startup already serves major insurance carriers, including Prudential, and hundreds of independent advisors.
With its latest funding round, Waterlily plans to enhance its AI models, expand its team, and strengthen its partnerships. The company is also exploring international expansion to markets such as the UK and Canada, aiming to bridge the gap in long-term care planning and ensure more families are prepared for the future.
