A prominent technology trade group has urged the Biden administration to reconsider a proposed rule that would restrict global access to US-made AI chips, warning that the measure could undermine America’s leadership in the AI sector. The Information Technology Industry Council (ITI), representing major companies like Amazon, Microsoft, and Meta, expressed concerns that the restrictions could unfairly limit US companies’ ability to compete globally while allowing foreign rivals to dominate the market.
The proposed rule, expected to be released as soon as Friday, is part of the Commerce Department’s broader strategy to regulate AI chip exports and prevent misuse, particularly by adversaries like China. The restrictions aim to curb the potential for AI to enhance China’s military capabilities. However, in a letter to Commerce Secretary Gina Raimondo, ITI CEO Jason Oxman criticised the administration’s urgency in finalising the rule, warning of ‘significant adverse consequences’ if implemented hastily. Oxman called for a more measured approach, such as issuing a proposed rule for public feedback rather than enacting an immediate policy.
Industry leaders have been vocal in their opposition, describing the draft rule as overly broad and damaging. The Semiconductor Industry Association raised similar concerns earlier this week, and Oracle’s Executive Vice President Ken Glueck slammed the measure as one of the most disruptive ever proposed for the US tech sector. Glueck argued the rule would impose sweeping regulations on the global commercial cloud industry, stifling innovation and growth.
While the administration has yet to comment on the matter, the growing pushback highlights the tension between safeguarding national security and maintaining US dominance in the rapidly evolving field of AI.
Amazon invests $11 billion in Georgia
Amazon Web Services (AWS) has announced a $11 billion investment to build new data centres in Georgia, aiming to support the growing demand for cloud computing and AI technologies. The facilities, located in Butts and Douglas counties, are expected to create at least 550 high-skilled jobs and position Georgia as a leader in digital innovation.
The move highlights a broader trend among tech giants investing heavily in AI-driven advancements. Last week, Microsoft revealed an $80 billion plan for fiscal 2025 to expand data centres for AI training and cloud applications. These facilities are critical for supporting resource-intensive AI technologies like machine learning and generative models, which require vast computational power and specialised infrastructure.
The surge in AI infrastructure has also raised concerns about energy consumption. A report from the Electric Power Research Institute suggests data centres could account for up to 9% of US electricity usage by 2030. To address this, Amazon has secured energy supply agreements with utilities like Talen Energy in Pennsylvania and Entergy in Mississippi, ensuring reliable power for its expanding operations.
Amazon’s commitment underscores the growing importance of AI and cloud services, as companies race to meet the demands of a rapidly evolving technological landscape.
US sanctions Iranian and Russian entities over election meddling
Sanctions have been imposed by the US on organisations in Iran and Russia accused of attempting to influence the 2024 presidential election. The Treasury Department stated these entities, linked to Iran’s Revolutionary Guard Corps (IRGC) and Russia’s military intelligence agency (GRU), aimed to exploit socio-political tensions among voters.
Russia’s accused group utilised AI tools to create disinformation, including manipulated videos targeting a vice-presidential candidate. A network of over 100 websites mimicking credible news outlets was reportedly used to disseminate false narratives. The GRU is alleged to have funded and supported these operations.
Iran’s affiliated entity allegedly planned influence campaigns since 2023, focused on inciting divisions within the US electorate. While Russia’s embassy denied interference claims as unfounded, Iran’s representatives did not respond to requests for comment.
A recent US threat assessment has underscored growing concerns about foreign attempts to disrupt American democracy, with AI emerging as a critical tool for misinformation. Officials reaffirmed their commitment to safeguarding the electoral process.
German parties outline technology policies ahead of election
As Germany prepares for national elections on February 23, political parties are outlining their tech policy priorities, including digitalisation, AI, and platform regulation. Here’s where the leading parties stand as they finalise their programs ahead of the vote.
The centre-right CDU, currently leading in polls with 33%, proposes creating a dedicated Digital Ministry to streamline responsibilities under the Ministry of Transport. The party envisions broader use of AI and cloud technology in German industry while simplifying citizen interactions with authorities through digital accounts.
Outgoing Chancellor Olaf Scholz’s SPD, polling at 15%, focuses on reducing dependence on US and Chinese tech platforms by promoting European alternatives. The party also prioritises faster digitalisation of public administration and equitable rules for regulating AI and digital platforms, echoing EU-wide goals of tech sovereignty and security.
The Greens, with 14% support, highlight the role of AI in reducing administrative workloads amid labour shortages. They stress the need for greater interoperability across IT systems and call for an open-source strategy to modernise Germany’s digital infrastructure, warning that the country lags behind EU digitalisation targets.
The far-right AfD, projected to secure 17%, opposes EU platform regulations like the Digital Services Act and seeks to reverse Germany’s adoption of the NetzDG law. The party argues these measures infringe on free speech and calls for transparency in funding non-state actors and NGOs involved in shaping public opinion.
The parties’ contrasting visions set the stage for significant debates on the future of technology policy in Germany.
China’s tech firms growing influence
Big tech competition heats up
Chinese big tech companies have emerged as some of the most influential players in the global technology landscape, driving innovation and shaping industries across the board. These companies are deeply entrenched in everyday life in China, offering a wide range of services and products that span e-commerce, social media, gaming, cloud computing, ΑΙ, and telecommunications. Their influence is not confined to China, they also play a significant role in global markets, often competing directly with US tech giants.
The rivalry between China and the US has become one of the defining geopolitical struggles of the 21st century. This competition oscillates between cooperation, fierce competition, and confrontation, influenced by regulatory policies, national security concerns, and shifting political priorities. The geopolitical pendulum of China-US tech firms, totally independent from the US election outcome, reflects the broader tensions between the two powers, with profound implications for global tech industries, innovation, and market dynamics.
The Golden Shield Project
In 2000, under Chairman Jiang Zemin’s leadership, China launched the Golden Shield Project to control media and information flow within the country. The initiative aimed to safeguard national security and restrict the influence of Western propaganda. As part of the Golden Shield, many American tech giants such as Google, Facebook, and Netflix were blocked by the Great Firewall for not complying with China’s data regulations, while companies like Microsoft and LinkedIn were allowed to operate.
At the same time, China’s internet user base grew dramatically, reaching 800 million netizens by 2018, with 98% using mobile devices. This rapid expansion provided a fertile ground for Chinese tech firms, which thrived without significant competition from foreign players. Among the earliest beneficiaries of this system were the BATX companies, which capitalised on China’s evolving internet landscape and rapidly established a dominant presence in the market.
The powerhouses of Chinese tech
The major Chinese tech companies, often referred to as the Big Tech of China, include Alibaba Group, Tencent, Baidu, ByteDance, Huawei, Xiaomi, JD.com, Meituan, Pinduoduo, and Didi Chuxing.
Alibaba Group is a global e-commerce and technology conglomerate, operating platforms such as Taobao and Tmall for e-commerce, AliExpress for international retail, and Alipay for digital payments. The company also has significant investments in cloud computing with Alibaba Cloud and logistics.
Tencent, a massive tech conglomerate, is known for its social media and entertainment services. It owns WeChat, a widely used messaging app that offers payment services, social media features, and more. Tencent also has investments in gaming, owning major stakes in Riot Games, Epic Games, and Activision Blizzard, as well as interests in financial services and cloud computing.
Baidu, often called China’s Google, is a leading search engine provider. In addition to its search services, Baidu has a strong presence in AI development, autonomous driving, and cloud computing, particularly focusing on natural language processing and autonomous vehicles.
ByteDance, the company behind TikTok, has made a name for itself in short-form video content and AI-driven platforms. It also operates Douyin, the Chinese version of TikTok, along with Toutiao, a popular news aggregation platform. ByteDance has expanded into gaming, e-commerce, and other AI technologies.
Huawei is a global leader in telecommunications equipment and consumer electronics, particularly smartphones and 5G infrastructure. The company is deeply involved in cloud computing and AI, despite facing significant geopolitical challenges.
Xiaomi is a leading smartphone manufacturer that also produces smart home devices, wearables, and a wide range of consumer electronics. The company is growing rapidly in the Internet of Things (IoT) space and AI-driven products.
JD.com, one of China’s largest e-commerce platforms, operates similarly to Alibaba, focusing on direct sales, logistics, and tech solutions. JD.com has also made significant strides in robotics, AI, and logistics technology.
Meituan is best known for its food delivery and local services platform, offering everything from restaurant reservations to hotel bookings. The company also operates in sectors like bike-sharing, travel, and ride-hailing.
Pinduoduo has rapidly grown in e-commerce by focusing on group buying and social commerce, particularly targeting lower-tier cities and rural markets in China. The platform offers discounted products to users who buy in groups.
Didi Chuxing is China’s dominant ride-hailing service, offering various transportation services such as ride-hailing, car rentals, and autonomous driving technology.
But what are the BATX companies we mentioned earlier?
BAXT
The term BATX refers to a group of the four dominant Chinese tech companies: Baidu, Alibaba, Tencent, and Xiaomi. These companies are central to China’s technology landscape and are often compared to the US “FAANG” group (Facebook, Apple, Amazon, Netflix, Google) because of their major influence across a range of industries, including e-commerce, search engines, social media, gaming, ΑΙ and telecommunications. Together, BATX companies are key players in shaping China’s tech ecosystem and have a significant impact on global markets.
China’s strategy for tech growth
China’s technology development strategy has proven effective in propelling the country to the forefront of several high-tech industries. This ambitious approach, which involves broad investments across both large state-owned enterprises and smaller private startups, has fostered significant innovation and created a competitive business environment. As a result, it has the potential to serve as a model for other countries looking to stimulate tech growth.
A key driver of China’s success is its diverse investment strategy, supported by government-led initiatives like the “Made in China 2025” and the “Thousand Talents Plan“. These programs offer financial backing and attract top talent from around the globe. This inclusive approach has helped China rapidly emerge as a global leader in fields like AI, robotics, and semiconductors. However, critics argue that the strategy may be overly aggressive, potentially stifling competition and innovation.
Some have raised concerns that China’s government support unfairly favours domestic companies, providing subsidies and other advantages that foreign competitors do not receive. Yet, this type of protectionist approach is not unique to China; other countries have implemented similar strategies to foster the growth of their own industries.
Another critique is that China’s broad investment model may encourage risky ventures and the subsidising of failures, potentially leading to a market that is oversaturated with unprofitable businesses. While this criticism holds merit in some cases, the overall success of China’s strategy in cultivating a dynamic and competitive tech landscape remains evident.
Looking ahead, China’s technology development strategy is likely to continue evolving. As the country strengthens its position on the global stage, it may become more selective in its investments, focusing on firms with the potential for global leadership.
In any case, China’s strategy has shown it can drive innovation and foster growth. Other nations hoping to advance their technological sectors should take note of this model and consider implementing similar policies to enhance their own competitive and innovative business environments.
But under what regulatory framework does Chinese tech policy ultimately operate? How does it affect the whole project? Are there some negative effects of the tight state grip?
China’s regulatory pyramid: Balancing control and consequences
China’s regulatory approach to its booming tech sector is defined by a precarious balance of authority, enforcement, and market response. Angela Zhang, author of High Wire: How China Regulates Big Tech and Governs Its Economy, proposes a “dynamic pyramid model” to explain the system’s intricate dynamics. This model highlights three key features: hierarchy, volatility, and fragility.
The top-down structure of China’s regulatory system is a hallmark of its hierarchy. Regulatory agencies act based on directives from centralised leadership, creating a paradox. In the absence of clear signals, agencies exhibit inaction, allowing industries to flourish unchecked. Conversely, when leadership calls for stricter oversight, regulators often overreach. A prime example of this is the drastic shift in 2020 when China moved from years of leniency toward its tech giants to implementing sweeping crackdowns on firms like Alibaba and Tencent.
This erratic enforcement underscores the volatility of the system. Chinese tech regulation is characterised by cycles of lax oversight followed by abrupt crackdowns, driven by shifts in political priorities. The 2020 – 2022 crackdown, which involved antitrust investigations and record-breaking fines, sent shockwaves through markets, wiping out billions in market value. While the government eased its stance in 2022, the uncertainty created by such pendulum swings has left investors wary, with many viewing the Chinese market as unpredictable and risky.
Despite its intentions to address pressing issues like antitrust violations and data security, China’s heavy-handed regulatory approach often results in fragility. Rapid interventions can undermine confidence, stifle innovation, and damage the very sectors the government seeks to strengthen. Years of lax oversight exacerbate challenges, leaving regulators with steep issues to address and markets vulnerable to overcorrection.
This model offers a lens into the broader governance dynamics in China. The system’s centralised control and reactive policies aim to maintain stability but often generate unintended economic consequences. As Chinese tech firms look to expand overseas amid domestic challenges, the long-term impact of these regulatory cycles remains uncertain, potentially influencing China’s ability to compete on the global stage.
The battle for tech supremacy between the USA and China
The incoming US President Donald Trump is expected to adopt a more aggressive, unilateral approach to counter China’s technological growth, drawing on his history of quick, broad measures such as tariffs. Under his leadership, the USA is likely to expand export controls and impose tougher sanctions on Chinese tech firms. Trump’s advisors predict a significant push to add more companies to the US Entity List, which restricts US firms from selling to blacklisted companies. His administration might focus on using tariffs (potentially up to 60% on Chinese imports) and export controls to pressure China, even if it strains relations with international allies.
The escalating tensions have been further complicated by China’s retaliatory actions. In response to US export controls, China has targeted American companies like Micron Technology and imposed its own restrictions on essential materials for chipmaking and electric vehicle production. These moves highlight the interconnectedness of both economies, with the US still reliant on China for critical resources such as rare earth elements, which are vital for both technology and defence.
This intensifying technological conflict reflects broader concerns over data security, military dominance, and leadership in AI and semiconductors. As both nations aim to protect their strategic interests, the tech war is set to continue evolving, with major consequences for global supply chains, innovation, and the international balance of power in technology.
UK Minister warns that NATO must adapt to AI threats
The UK government has announced the launch of a Laboratory for AI Security Research (LASR), an initiative to protect against emerging AI-driven threats and bolster Britain’s cyber resilience. The lab, backed by an initial £8.22 million in government funding, will bring together experts from academia, industry, and government to address AI’s evolving challenges to national security.
Speaking at the NATO Cyber Defence Conference in London, the Chancellor of the Duchy of Lancaster emphasised that AI is revolutionising national security and noted that ‘[…]as we develop this technology, there’s a danger it could be weaponised against us. Our adversaries are exploring how to use AI on the physical and cyber battlefield’.
LASR will collaborate with leading institutions, including the Alan Turing Institute, Oxford University, Queen’s University Belfast, and Plexal, alongside government agencies such as GCHQ, the National Cyber Security Centre, and the MOD’s Defence Science and Technology Laboratory. Partnerships will extend to NATO allies and Five Eyes countries, fostering an international approach to AI security.
In addition to LASR, the government announced a £1 million incident response project to help allies respond more effectively to cyberattacks. This initiative will further enhance international cooperation in managing cyber incidents.
The official communication highlights that this announcement aligns with the government’s broader agenda, including the forthcoming Cyber Security and Resilience Bill (to be introduced to Parliament in 2025) and the designation of data centres as critical national infrastructure (CNI) to secure the UK’s position as a global leader in cybersecurity and AI innovation.
Nvidia CEO highlights new AI scaling techniques
Nvidia reported a staggering $19B in net income last quarter but faced questions about sustaining its rapid growth amid shifts in AI development methods. Analysts questioned CEO Jensen Huang on how Nvidia’s position might evolve with trends like ‘test-time scaling,’ a method that enhances AI responses by increasing computing power during inference, the phase when AI generates answers.
Huang described test-time scaling as a groundbreaking development and emphasised Nvidia’s readiness to support it. He noted that while most of the company’s focus remains on pretraining AI models, the growing emphasis on inference could transform the AI landscape. Nvidia’s dominance in pretraining has propelled its stock up 180% this year, but competition in AI inference is heating up, with startups like Groq and Cerebras offering alternative chip solutions.
Despite concerns about diminishing returns from traditional AI scaling, Huang remains optimistic, asserting that foundational AI development continues to advance. He reiterated Nvidia’s advantage as the largest AI inference platform globally, citing the company’s scale and reliability as critical factors in maintaining its edge.
New startup tackles AI energy demands with analog tech
With AI adoption surging, data centers are bracing for a 160% jump in electricity consumption by 2030, driven by the energy demands of GPUs. Sagence AI, a startup led by Vishal Sarin, is addressing this challenge by developing analog chips that promise greater energy efficiency without sacrificing performance.
Unlike traditional digital chips, Sagence’s analog designs minimise memory bottlenecks and offer higher data density, making them a viable option for specialised AI applications in servers and mobile devices. While analog chips pose challenges in precision and programming, Sagence aims to complement, not replace, digital solutions, delivering cost-effective and eco-friendly alternatives.
Backed by $58M in funding from investors like TDK Ventures and New Science Ventures, Sagence plans to launch its chips in 2025. As it scales operations, the startup faces stiff competition from industry giants and will need to prove its technology can outperform established systems while maintaining lower energy consumption.
