China races ahead with underwater data centers as Microsoft dumps the idea
China has deployed 400 high-performance servers beneath the sea as part of an expanding underwater data center in Lingshui, Hainan, providing computing power equivalent to 30,000 high-end gaming PCs operating simultaneously. This infrastructure will complete a year’s worth of computations for an average PC in just one second and can enable DeepSeek’s AI assistant to handle 7,000 conversations per second. The newly-installed module is linked to an existing facility to form a computing cluster designed to support AI-driven applications.
As the world increasingly relies on data-driven decision-making, countries like China are racing to develop cutting-edge technologies that will give them a competitive edge in the global market.
What implications do you think this shift towards underwater data centers will have for international cybersecurity and data protection regulations?
The advancements made by DeepSeek highlight the increasing prominence of Chinese firms within the artificial intelligence sector, as noted by a spokesperson for China's parliament. Lou Qinjian praised DeepSeek's achievements, emphasizing their open-source approach and contributions to global AI applications, reflecting China's innovative capabilities. Despite facing challenges abroad, including bans in some nations, DeepSeek's technology continues to gain traction within China, indicating a robust domestic support for AI development.
This scenario illustrates the competitive landscape of AI technology, where emerging companies from China are beginning to challenge established players in the global market, potentially reshaping industry dynamics.
What implications might the rise of Chinese AI companies like DeepSeek have on international regulations and standards in technology development?
DeepSeek, a Chinese AI startup behind the hit V3 and R1 models, has disclosed cost and revenue data that claims a theoretical cost-profit ratio of up to 545% per day. The company revealed its cost and revenue data after web and app chatbots powered by its R1 and V3 models surged in popularity worldwide, causing AI stocks outside China to plummet in January. DeepSeek's profit margins are likely to be lower than claimed due to the low cost of using its V3 model.
This astonishing profit margin highlights the potential for Chinese tech companies to disrupt traditional industries with their innovative business models, which could have far-reaching implications for global competition and economic power dynamics.
Can the sustainable success of DeepSeek's AI-powered chatbots be replicated by other countries' startups, or is China's unique technological landscape a key factor in its dominance?
Several of China's top universities have announced plans to expand their undergraduate enrolment to prioritize what they called "national strategic needs" and develop talent in areas such as artificial intelligence (AI). The announcements come after Chinese universities launched artificial intelligence courses in February based on AI startup DeepSeek which has garnered widespread attention. Its creation of AI models comparable to the most advanced in the United States, but built at a fraction of the cost, has been described as a "Sputnik moment" for China.
This strategic move highlights the critical role that AI and STEM education will play in driving China's technological advancements and its position on the global stage.
Will China's emphasis on domestic talent development and investment in AI lead to a new era of scientific innovation, or will it also create a brain drain of top talent away from the US?
China's technology landscape in 2025 showcases remarkable advancements across multiple sectors, with the nation steadily positioning itself as a global technology powerhouse. Tech giants, including Tencent Holdings TCEHY, Alibaba BABA, Baidu BIDU, JD.com JD and PDD Holdings PDD, are making waves to capitalize on this technological renaissance, strategically investing in AI infrastructure and emerging technologies to strengthen China's digital ecosystem. The company's cost-effective AI architecture demonstrates that competitive AI models can be built at a fraction of Western competitors' costs.
The synchronized acceleration of cutting-edge technologies like AI, EVs, and AR across multiple Chinese firms could signal an irreversible shift in the global tech landscape, with far-reaching implications for industries worldwide.
What role will China's government-backed initiatives, such as the "Manufacturing Great Power" strategy, play in shaping the long-term trajectory of its technological advancements and how might this impact international trade dynamics?
A recent study reveals that China has significantly outpaced the United States in research on next-generation chipmaking technologies, conducting more than double the output of U.S. institutions. Between 2018 and 2023, China produced 34% of global research in this field, while the U.S. contributed only 15%, raising concerns about America's competitive edge in future technological advancements. As China focuses on innovative areas such as neuromorphic and optoelectric computing, the effectiveness of U.S. export restrictions may diminish, potentially altering the landscape of chip manufacturing.
This development highlights the potential for a paradigm shift in global technology leadership, where traditional dominance by the U.S. could be challenged by China's growing research capabilities.
What strategies can the U.S. adopt to reinvigorate its position in semiconductor research and development in the face of China's rapid advancements?
Tencent Holdings Ltd.'s Yuanbao AI chatbot has surpassed DeepSeek to become the most downloaded iPhone app in China, highlighting the intensifying domestic competition in the AI space. The company's integration of its in-house Hunyuan artificial intelligence tech with R1 reasoning model from DeepSeek has given it a significant edge. This move marks a turning point for the Chinese tech giant as it seeks to ramp up its presence in the rapidly growing AI user base.
The strategic integration of AI technologies by Tencent underscores the importance of adaptability and innovation in the fast-paced digital landscape, where the lines between hardware and software are increasingly blurred.
As more companies move towards monetizing their free AI services, how will users be protected from potential biases and data exploitation that may arise from the commercialization of AI-powered chatbots like Yuanbao?
Chinese AI startup DeepSeek on Saturday disclosed some cost and revenue data related to its hit V3 and R1 models, claiming a theoretical cost-profit ratio of up to 545% per day. This marks the first time the Hangzhou-based company has revealed any information about its profit margins from less computationally intensive "inference" tasks, the stage after training that involves trained AI models making predictions or performing tasks. The revelation could further rattle AI stocks outside China that plummeted in January after web and app chatbots powered by its R1 and V3 models surged in popularity worldwide.
This remarkable profit margin highlights the significant cost savings achieved by leveraging more affordable yet less powerful computing chips, such as Nvidia's H800, which challenges conventional wisdom on the relationship between hardware and software costs.
Can DeepSeek's innovative approach to AI chip usage be scaled up to other industries, or will its reliance on lower-cost components limit its long-term competitive advantage in the rapidly evolving AI landscape?
Chinese AI startup DeepSeek has disclosed cost and revenue data related to its hit V3 and R1 models, claiming a theoretical cost-profit ratio of up to 545% per day. This marks the first time the Hangzhou-based company has revealed any information about its profit margins from less computationally intensive "inference" tasks. The revelation could further rattle AI stocks outside China that plunged in January after web and app chatbots powered by its R1 and V3 models surged in popularity worldwide.
DeepSeek's cost-profit ratio is not only impressive but also indicative of the company's ability to optimize resource utilization, a crucial factor for long-term sustainability in the highly competitive AI industry.
How will this breakthrough impact the global landscape of AI startups, particularly those operating on a shoestring budget like DeepSeek, as they strive to scale up their operations and challenge the dominance of established players?
China said on Wednesday it would boost support for the application of artificial intelligence (AI) models and the development of venture capital investment, in a bid to foster more technology breakthroughs and become more self-reliant. The country aims to create an enabling environment for innovation that encourages exploration and tolerates failure. To achieve this, China plans to explore new models for national laboratories and give strong support to young scientists and engineers.
By providing significant resources to AI research and development, China is likely to accelerate its technological advancements in the coming years, potentially narrowing the gap with other countries.
What role will international cooperation play in shaping the global landscape of AI innovation, as China's ambitions become increasingly interconnected with those of other nations?
The cloud giants Amazon, Microsoft, and Alphabet are significantly increasing their investments in artificial intelligence (AI) driven data centers, with capital expenditures expected to rise 34% year-over-year to $257 billion by 2025, according to Bank of America. The companies' commitment to expanding AI capabilities is driven by strong demand for generative AI (GenAI) and existing capacity constraints. As a result, the cloud providers are ramping up their spending on chip supply chain resilience and data center infrastructure.
The growing investment in AI-driven data centers underscores the critical role that cloud giants will play in supporting the development of new technologies and applications, particularly those related to artificial intelligence.
How will the increasing focus on AI capabilities within these companies impact the broader tech industry's approach to data security and privacy?
China plans to issue guidance to encourage the use of open-source RISC-V chips nationwide for the first time, two sources briefed on the matter said, as Beijing accelerates efforts to curb the country's dependence on Western-owned technology. The policy guidance is being drafted jointly by eight government bodies and could be released soon. Chinese chip design firms have eagerly embraced RISC-V, seeing its lower costs as a major attraction.
As China seeks to increase its domestic semiconductor production, the success of RISC-V in boosting adoption could serve as a model for other countries looking to diversify their tech industries.
How will the widespread adoption of RISC-V chips in China impact the global balance of power in the technology sector, particularly with regards to supply chains and intellectual property?
Honor, a Chinese smartphone maker, is committing $10 billion over the next five years to developing artificial intelligence (AI) capabilities for its devices as it prepares for a public listing. This investment aims to expand beyond smartphones and develop AI-powered PCs, tablets, and wearables. The company's goal is to capitalize on China's growing interest in AI technology.
As AI becomes increasingly integral to various industries, companies like Honor must carefully balance the benefits of innovation with concerns over job displacement and data security.
What role will the Chinese government play in shaping the country's AI ecosystem and ensuring its development aligns with societal values?
Ray Dalio has warned that the U.S. won't be competitive in manufacturing with China for AI chips, arguing that China will continue to have an edge in producing applications for these chips compared to the U.S. The U.S. advantage in AI development lies in its investment in higher education and research, but manufacturing is a different story, according to Dalio. Despite some US efforts to ramp up chip production, China's focus on applying AI to existing technologies gives them an economic advantage.
The stark reality is that the US has become so reliant on foreign-made components in its technology industry that it may never be able to shake off this dependency.
Can the US government find a way to reinvigorate its chip manufacturing sector before China becomes too far ahead in the AI chip game?
DeepSeek has broken into the mainstream consciousness after its chatbot app rose to the top of the Apple App Store charts (and Google Play, as well). DeepSeek's AI models, trained using compute-efficient techniques, have led Wall Street analysts — and technologists — to question whether the U.S. can maintain its lead in the AI race and whether the demand for AI chips will sustain. The company's ability to offer a general-purpose text- and image-analyzing system at a lower cost than comparable models has forced domestic competition to cut prices, making some models completely free.
This sudden shift in the AI landscape may have significant implications for the development of new applications and industries that rely on sophisticated chatbot technology.
How will the widespread adoption of DeepSeek's models impact the balance of power between established players like OpenAI and newer entrants from China?
Chinese artificial intelligence startup Zhipu AI has secured a significant influx of funding, further solidifying its position in the rapidly evolving AI landscape. With the backing of state-backed investors, Zhipu AI is well-positioned to compete with rival startups like DeepSeek, which has gained attention for matching the capabilities of leading Western platforms. The company's focus on open-source AI models and expansion into key regions such as Zhejiang province and the Yangtze River Delta economic zone will be crucial in determining its success.
As China continues to invest heavily in AI research and development, it is essential to consider whether this surge in state funding will lead to a homogenization of AI innovation, stifling competition from smaller startups.
What are the potential implications for global AI leadership if Chinese companies like Zhipu AI continue to gain ground on their Western counterparts?
US lawmakers have raised national security concerns in letters to top Chinese telecom companies, China Mobile, China Telecom, and China Unicom, citing the potential for these firms to exploit access to American data through their U.S. cloud and internet businesses. The lawmakers are seeking details on any links between the companies and the Chinese military and government by March 31, amid concerns about unauthorized data access, espionage, or sabotage. National security experts have warned that China Telecom's operations in the US could pose a significant risk to American telecommunications networks.
The growing bipartisan concern over Chinese telecoms' U.S. footprint raises questions about the effectiveness of current regulations and the need for stricter oversight to protect national security.
How will the ongoing scrutiny of Chinese telecoms impact their ability to provide essential services, such as cloud computing and internet routing, in the US without compromising American data security?
Microsoft has warned President Trump that current export restrictions on critical computer chips needed for AI technology could give China a strategic advantage, undermining US leadership in the sector. The restrictions, imposed by the Biden administration, limit the export of American AI components to many foreign markets, affecting not only China but also allies such as Taiwan, South Korea, India, and Switzerland. By loosening these constraints, Microsoft argues that the US can strengthen its position in the global AI market while reducing its trade deficit.
If the US fails to challenge China's growing dominance in AI technology, it risks ceding control over a critical component of modern warfare and economic prosperity.
What would be the implications for the global economy if China were able to widely adopt its own domestically developed AI chips, potentially disrupting the supply chains that underpin many industries?
Microsoft's Threat Intelligence has identified a new tactic from Chinese threat actor Silk Typhoon towards targeting "common IT solutions" such as cloud applications and remote management tools in order to gain access to victim systems. The group has been observed attacking a wide range of sectors, including IT services and infrastructure, healthcare, legal services, defense, government agencies, and many more. By exploiting zero-day vulnerabilities in edge devices, Silk Typhoon has established itself as one of the Chinese threat actors with the "largest targeting footprints".
The use of cloud applications by businesses may inadvertently provide a backdoor for hackers like Silk Typhoon to gain access to sensitive data, highlighting the need for robust security measures.
What measures can be taken by governments and private organizations to protect their critical infrastructure from such sophisticated cyber threats?
The Trump administration is considering banning Chinese AI chatbot DeepSeek from U.S. government devices due to national-security concerns over data handling and potential market disruption. The move comes amid growing scrutiny of China's influence in the tech industry, with 21 state attorneys general urging Congress to pass a bill blocking government devices from using DeepSeek software. The ban would aim to protect sensitive information and maintain domestic AI innovation.
This proposed ban highlights the complex interplay between technology, national security, and economic interests, underscoring the need for policymakers to develop nuanced strategies that balance competing priorities.
How will the impact of this ban on global AI development and the tech industry's international competitiveness be assessed in the coming years?
DeepSeek has disrupted the status quo in AI development, showcasing that innovation can thrive without the extensive resources typically associated with industry giants. Instead of relying on large-scale computing, DeepSeek emphasizes strategic algorithm design and efficient resource management, challenging long-held beliefs in the field. This shift towards a more resource-conscious approach raises critical questions about the future landscape of AI innovation and the potential for diverse players to emerge.
The rise of DeepSeek highlights an important turning point where lean, agile teams may redefine the innovation landscape, potentially democratizing access to technology development.
As the balance shifts, what role will traditional tech powerhouses play in an evolving ecosystem dominated by smaller, more efficient innovators?
Honor Device Co., one of China's biggest smartphone makers, is investing $10 billion over the next five years to build an artificial intelligence ecosystem that goes beyond devices, potentially positioning itself as a significant player in the rapidly evolving tech landscape. The company's new strategy aims to create a device-centric AI platform that can be integrated into various products and services, setting it up for long-term growth and competitiveness. By collaborating with global partners and leveraging cutting-edge technologies like Google Cloud and Gemini, Honor is poised to challenge established players in the industry.
As Honor embarks on its ambitious AI journey, will it be able to successfully navigate the complex web of partnerships and technological advancements required to stay ahead of the competition?
How might Honor's focus on device-centric AI influence the broader development of smart cities, IoT ecosystems, or other industries that rely heavily on AI-driven innovations?
Chinese authorities are instructing the country's top artificial intelligence entrepreneurs and researchers to avoid travel to the United States due to security concerns, citing worries that they could divulge confidential information about China's progress in the field. The decision reflects growing tensions between China and the US over AI development, with Chinese startups launching models that rival or surpass those of their American counterparts at significantly lower cost. Authorities also fear that executives could be detained and used as a bargaining chip in negotiations.
This move highlights the increasingly complex web of national security interests surrounding AI research, where the boundaries between legitimate collaboration and espionage are becoming increasingly blurred.
How will China's efforts to control its AI talent pool impact the country's ability to compete with the US in the global AI race?
US chip stocks were the biggest beneficiaries of last year's artificial intelligence investment craze, but they have stumbled so far this year, with investors moving their focus to software companies in search of the next best thing in the AI play. The shift is driven by tariff-driven volatility and a dimming demand outlook following the emergence of lower-cost AI models from China's DeepSeek, which has highlighted how competition will drive down profits for direct-to-consumer AI products. Several analysts see software's rise as a longer-term evolution as attention shifts from the components of AI infrastructure.
As the focus on software companies grows, it may lead to a reevaluation of what constitutes "tech" in the investment landscape, forcing traditional tech stalwarts to adapt or risk being left behind.
Will the software industry's shift towards more sustainable and less profit-driven business models impact its ability to drive innovation and growth in the long term?
U.S. chip stocks have stumbled this year, with investors shifting their focus to software companies in search of the next big thing in artificial intelligence. The emergence of lower-cost AI models from China's DeepSeek has dimmed demand for semiconductors, while several analysts see software's rise as a longer-term evolution in the AI space. As attention shifts away from semiconductor shares, some investors are betting on software companies to benefit from the growth of AI technology.
The rotation out of chip stocks and into software companies may be a sign that investors are recognizing the limitations of semiconductors in driving long-term growth in the AI space.
What role will governments play in regulating the development and deployment of AI, and how might this impact the competitive landscape for software companies?
China's government is pivoting towards promoting open-source RISC-V chips as part of its strategy to enhance semiconductor self-sufficiency and reduce reliance on foreign technologies like x86 and Arm. The initiative, drafted by multiple government agencies, marks the first official push for RISC-V adoption in the country, with several domestic companies already investing in its development. While the hardware development is significant, the success of RISC-V will heavily depend on the establishment of a robust software ecosystem, a challenge that could take years to overcome.
The shift to RISC-V reflects a broader trend where countries are seeking technological independence, potentially reshaping global semiconductor dynamics and supply chains.
How will the pursuit of RISC-V influence the competitive landscape of AI technologies and broader semiconductor markets in the coming years?