China’s antitrust regulator is reportedly preparing to investigate Apple’s App Store policies and fees, including its 30% commission on in-app purchases and restrictions on external payment services. The move follows recent measures targeting US businesses, including Google and fashion brand Calvin Klein, just as new US tariffs on Chinese goods emerged. Apple’s shares fell 2.6% in premarket trading following the news.
The investigation, led by the State Administration for Market Regulation, comes after ongoing discussions between Chinese regulators, Apple executives, and app developers over the past year. While neither Apple nor the Chinese antitrust regulator has commented on the matter, the move is seen as part of broader scrutiny of US companies operating in China.
In a separate development, Google was also accused of violating China’s anti-monopoly laws, with experts speculating the probe could be linked to Google’s Android operating system and its influence over Chinese mobile manufacturers. Additionally, China’s Commerce Ministry added PVH Corp, the owner of brands like Calvin Klein, to its “unreliable entity” list.
OpenAI CEO Sam Altman met with India’s IT Minister Ashwini Vaishnaw on Wednesday to discuss India’s vision of developing a low-cost AI ecosystem. Vaishnaw shared on X that the meeting centred on India’s strategy to build a comprehensive AI stack, including GPUs, models, and applications. He noted that OpenAI expressed interest in collaborating on all three aspects.
Altman’s visit to India, his first since 2023, comes amid ongoing legal challenges the company faces in the country, which is its second-largest market by user numbers. Vaishnaw recently praised Chinese startup DeepSeek for its affordable AI assistant, drawing parallels between DeepSeek’s cost-effective approach and India’s goal of creating a budget-friendly AI model. Vaishnaw highlighted India’s ability to achieve major technological feats at a fraction of the cost, as demonstrated by its moon mission.
Altman’s trip also included stops in Japan and South Korea, where he secured deals with SoftBank and Kakao. In Seoul, he discussed the Stargate AI data centre project with SoftBank and Samsung, a venture backed by US President Donald Trump.
The European Commission has launched the OpenEuroLLM Project, a new initiative aimed at developing open-source, multilingual AI models. The project, which began on February 1, is supported by a consortium of 20 European research institutions, companies, and EuroHPC centres. Coordinated by Jan Hajič from Charles University and co-led by Peter Sarlin of AMD Silo AI, the project is designed to produce large language models (LLMs) that are proficient in all EU languages and comply with the bloc’s regulatory framework.
The OpenEuroLLM Project has been awarded the Strategic Technologies for Europe Platform (STEP) Seal, a recognition granted to high-quality initiatives under the Digital Europe Programme. This endorsement highlights the project’s importance as a critical technology for Europe. The LLMs developed will be open-sourced, allowing their use for commercial, industrial, and public sector purposes. The project promises full transparency, with public access to documentation, training codes, and evaluation metrics once the models are released.
The initiative aims to democratise access to high-quality AI technologies, helping European companies remain competitive globally and empowering public organisations to deliver impactful services. While the timeline for model release and specific focus areas have not yet been detailed, the European Commission has already committed funding and anticipates attracting further investors in the coming weeks.
Google is set to transform its Search engine into a more advanced AI-driven assistant, CEO Sundar Pichai revealed during an earnings call. The company’s ongoing AI evolution began with controversial “AI overviews” and is now expanding to include new capabilities developed by its research division, DeepMind. Google’s goal is to allow Search to browse the web, analyse information, and deliver direct answers, reducing reliance on traditional search results.
Among the upcoming innovations is Project Astra, a multimodal AI system capable of interpreting live video and responding to real-time questions. Another key development is Gemini Deep Research, an AI agent designed to generate in-depth reports, effectively automating research tasks that users previously conducted themselves. Additionally, Project Mariner could enable AI to interact with websites on behalf of users, potentially reshaping how people navigate the internet.
The shift towards AI-powered Search has sparked debate, particularly among businesses that depend on Google’s traffic and advertising. Google’s first attempt at AI integration resulted in embarrassing errors, such as incorrect and bizarre search responses. Despite initial setbacks, the company is pushing ahead, believing AI-enhanced Search will redefine how people find and interact with information online.
At the annual Almaty Digital Forum, experts highlighted the growing importance of preparing for the AI revolution sparked by the sudden rise of the Chinese AI company DeepSeek. The company’s appearance at the forum raised questions about the future of AI and humanity, particularly due to the affordability of DeepSeek’s AI models, which cost just $6 million to develop, compared to the $40-100 million investments from other global players. This has made AI solutions more accessible to smaller developers and countries.
During the forum, Kaan Teryioglu, CEO of VEON Group, emphasised that AI’s potential lies in enhancing human capabilities across various sectors. Experts agreed that AI will no longer be dominated by tech giants, with smaller developers now able to harness its power. However, concerns were raised about the risk of cultural homogenisation if AI technologies are not adapted to local languages and values.
The forum also showcased Central Asia’s ambition to keep up with global AI developments, with high-level representatives from several countries, including Kazakhstan, Armenia, and Uzbekistan, in attendance. Kazakhstan, in particular, is planning to train a million AI professionals by 2030, with the goal of boosting AI exports to $5 billion by 2029. The government is also launching Alem.ai, a hub for AI research, start-ups, and international collaboration, expected to play a key role in the country’s AI future.
Kazakhstan’s ambitious plans have attracted the attention of global tech giants, who are already in discussions about establishing offices at Alem.ai. With a focus on developing local talent and fostering innovation, Kazakhstan aims to position itself as Central Asia’s intellectual capital and a key player in the global AI landscape. The forum’s success, with over 220 tech companies and 80 local start-ups participating, signals that the country’s plans may not be overly ambitious after all.
Snap has introduced an AI-powered text-to-image model designed to run efficiently on mobile devices, generating high-resolution images in just 1.4 seconds on an iPhone 16 Pro Max. Unlike cloud-based systems, this model operates entirely on the device, reducing costs while maintaining impressive visual quality. The company plans to integrate it into Snapchat’s AI Snaps and Bitmoji features in the coming months.
By developing its own AI model, Snap aims to provide users with more advanced creative tools while lowering operational expenses. The move aligns with a broader trend among tech companies investing heavily in AI to enhance their platforms. Previously, Snap relied on external providers like OpenAI and Google, but its in-house model gives it more control over future innovations.
Snapchat’s AI investment highlights the growing competition in mobile AI technology, with major players racing to deliver faster and more efficient features. As the company prepares to roll out these new capabilities, it remains to be seen how they will shape user experiences and engagement on the platform.
A bipartisan working group is being established in Congress to develop policies supporting digital assets. Representative French Hill announced the initiative, emphasising the need for clear regulatory guidelines. The group will work alongside White House officials, including crypto and AI adviser David Sacks.
President Donald Trump has ordered a separate cryptocurrency task force to explore regulations and the possibility of a national crypto reserve. Trump has positioned himself as a pro-crypto leader, pledging to promote adoption. In contrast, former President Joe Biden’s administration took a stricter stance, cracking down on exchanges such as Coinbase and Binance over alleged regulatory violations.
Lawmakers and officials are now seeking a balance between fostering innovation and ensuring consumer protection. The growing role of cryptocurrencies in the economy has intensified calls for clearer legislation, with both Congress and the executive branch pushing for new frameworks.
A federal judge in California has indicated that some aspects of Elon Musk’s lawsuit against OpenAI may proceed to trial. Musk will be required to testify, with a jury ultimately deciding the outcome. The lawsuit challenges OpenAI’s transition from a nonprofit to a for-profit entity, a move Musk argues contradicts its original mission.
Judge Yvonne Gonzalez Rogers is reviewing Musk’s request to block OpenAI’s conversion before the trial. While she has not yet ruled on the injunction, she suggested Musk’s legal team may need to present more evidence. OpenAI’s lawyers argue that the restructuring is necessary to secure investment and continue developing advanced AI models.
The dispute has intensified as OpenAI seeks billions in funding, which is conditional on its corporate restructuring. Experts note that such nonprofit-to-for-profit transitions are rare, typically occurring in healthcare rather than AI startups. OpenAI maintains that Musk should compete in the market rather than pursue legal action.
AMD has announced it will release its next-generation data centre GPUs, the Instinct MI350 series, earlier than originally planned. CEO Lisa Su revealed during the company’s Q4 2024 earnings call that strong demand and smooth development have allowed AMD to move up production to mid-2025, rather than the latter half of the year.
The move comes as AMD looks to gain ground on industry leader Nvidia, whose dominance in the data centre market continues to pose a challenge. Despite this, AMD’s Instinct GPU sales surpassed $5 billion in 2024, and the company expects its data centre division to see double-digit growth in 2025. Major customers such as Meta, Microsoft, and IBM have contributed to AMD’s momentum in the AI computing sector.
Su expressed confidence in the expansion of AMD’s data centre business, forecasting substantial growth in AI-related computing over the coming years. Investors responded positively to the announcement, with AMD’s stock rising by over 4% following the earnings report.
Chinese companies are increasingly backing DeepSeek‘s AI, marking a pivotal moment for the industry. Firms like Moore Threads and Hygon Information Technology are enabling their computing clusters to support DeepSeek’s R1 and V3 models, which use domestically produced graphic processing units (GPUs). Analysts have hailed this as a ‘watershed moment,’ particularly as these models rival those run on global high-end chips.
Huawei has also joined the trend, integrating DeepSeek’s models with its Ascend cloud service and partnering with AI infrastructure start-up SiliconFlow. This integration showcases the growing potential of Chinese-made chips to support competitive large language models, reducing reliance on US hardware. Additionally, major Chinese tech companies such as Alibaba, Baidu, and Tencent have made DeepSeek’s models available through their cloud services.
DeepSeek’s rise has captured significant attention, especially after the launch of its free AI assistant, which surpassed ChatGPT in app downloads within days. The company’s approach, requiring far less computing power than its US counterparts, has further fueled its success. While DeepSeek is gaining traction globally, some countries, including Italy and the Netherlands, have raised privacy concerns, leading to investigations and blocks on its app.
