Latest US Strike on China's Chips Hits Semiconductor Toolmakers

Flags of China and US are displayed on a printed circuit board with semiconductor chips, in this illustration picture taken February 17, 2023. REUTERS/Florence Lo/Illustration/File Photo
Flags of China and US are displayed on a printed circuit board with semiconductor chips, in this illustration picture taken February 17, 2023. REUTERS/Florence Lo/Illustration/File Photo
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Latest US Strike on China's Chips Hits Semiconductor Toolmakers

Flags of China and US are displayed on a printed circuit board with semiconductor chips, in this illustration picture taken February 17, 2023. REUTERS/Florence Lo/Illustration/File Photo
Flags of China and US are displayed on a printed circuit board with semiconductor chips, in this illustration picture taken February 17, 2023. REUTERS/Florence Lo/Illustration/File Photo

The United States on Monday launched its third crackdown in three years on China's semiconductor industry, curbing exports to 140 companies including chip equipment maker Naura Technology Group, among other moves.

The effort to hobble Beijing's chipmaking ambitions also hits Chinese chip toolmakers Piotech and SiCarrier Technology with new export restrictions as part of the package, which also takes aim at shipments of advanced memory chips and more chipmaking tools to China.

The move is one of the Biden administration's last large-scale efforts to stymie China's ability to access and produce chips that can help advance artificial intelligence for military applications, or otherwise threaten US national security.

It comes just weeks before the swearing-in of Republican former president Donald Trump, who is expected to retain many of Biden's tough-on-China measures, according to Reuters.

The package includes curbs on China-bound shipments of high bandwidth memory (HBM) chips, critical for high-end applications like AI training; new curbs on 24 additional chipmaking tools and three software tools; and new export curbs on chipmaking equipment made in countries such as Singapore and Malaysia.

Commerce Secretary Gina Raimondo said the action aims to prevent "China from advancing its domestic semiconductor manufacturing system, which it will use to support its military modernization."

Reuters first reported many companies involved and key details of the plan.

The tool controls will likely hurt Lam Research, KLA and Applied Materials, as well as non-US companies like Dutch equipment maker ASM International .

Among Chinese companies facing new restrictions are nearly two dozen semiconductor companies, two investment companies and over 100 chipmaking tool makers.

The companies include Swaysure Technology Co, SiEn Qingdao, and Shenzhen Pensun Technology Co, work with China's Huawei Technologies, the telecommunications equipment leader once hobbled by US sanctions and now at the center of China's advanced chip production and development.

They will be added to the entity list, which bars US suppliers from shipping to them without first receiving a special license.

Asked about the US curbs, Chinese foreign ministry spokesman Lin Jian said such behaviour undermined the international economic trade order and disrupted global supply chains.

China will take measures to safeguard the rights and interests of its firms, he added at a regular press briefing on Monday.

The Chinese commerce ministry did not immediately respond to a request for comment.

China has stepped up its drive to become self-sufficient in the semiconductor sector in recent years, as the US and other countries have restricted exports of the advanced chips and the tools to make them. However, it remains years behind chip industry leaders like Nvidia in AI chips and chip equipment maker ASML in the Netherlands.

The US also is poised to place additional restrictions on Semiconductor Manufacturing International, China's largest contract chip manufacturer, which was placed on the Entity List in 2020 but with a policy that allowed billions of dollars worth of licenses to ship goods to it to be granted.

For the first time, the US will add three companies that make investments in chips to the entity list. Chinese private equity firm Wise Road Capital, tech firm Wingtech Technology Co and JAC Capital because of their role "in aiding China’s government’s efforts to acquire entities with sensitive semiconductor manufacturing capability critical to the defense industrial bases of the United States and its allies with the objective of relocating these entities to China."

Companies seeking licenses to ship to firms on the Entity List generally get denied.

DUTCH AND JAPANESE EXEMPTED

An aspect of the new package that addresses the foreign direct product rule could hurt some US allies by limiting what their companies can ship to China.

The new rule will expand US powers to curb exports of chipmaking equipment by US, Japanese, and Dutch manufacturers made in other parts of the world to certain chip plants in China.

Equipment made in Israel, Malaysia, Singapore, South Korea and Taiwan is subject to the rule while Japan and the Netherlands will be exempt.

The expanded foreign direct product rule will apply to 16 companies on the entity list that are seen as the most important to China's most advanced chipmaking ambitions. The rule will also lower to zero the amount of US content that determines when certain foreign items are subject to US control. That will allow the US to regulate any item shipped to China from overseas if it contains any US chips.

The new rules are being released after lengthy discussions with Japan and the Netherlands, which, along with the United States, dominate the production of advanced chipmaking equipment.

The United States plans to exempt countries that adopt similar controls, the people said.

Another rule in the package restricts memory used in AI chips that correspond with what is known as "HBM 2" and higher, technology made by South Korea's Samsung and SK Hynix and US-based Micron.

Industry sources expect only Samsung Electronics to be affected. Analysts estimate Samsung generates about 30% of its HBM chip sales from China.

The latest rules are the third major package of chip-related export curbs on China adopted under the Biden administration.

In October 2022, the United States published a sweeping set of controls on sale and manufacture of certain high-end chips that was considered to be the biggest shift in its tech policy toward China since the 1990s.



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.