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U.S. authorities mulling over chip tracking to combat AI hardware export to China, as enforcement gaps persist; potential implementation of software or hardware tracking as part of expanded export controls for cutting-edge AI semiconductors

U.S. authorities consider implementing chip-level tracking to prevent AI hardware exports to China, as outlined by Michael Kratsios, Director of the White House Office of Science and Technology Policy. However, this proposal encounters technical difficulties, industry opposition, and...

U.S. Administration Ponders Implementing Chip Tracking in Bid to Combat AI Hardware Exportation to...
U.S. Administration Ponders Implementing Chip Tracking in Bid to Combat AI Hardware Exportation to China; Potential Surveillance of Software or Hardware Might Expand American Export Controls on Advanced AI Semiconductors

U.S. authorities mulling over chip tracking to combat AI hardware export to China, as enforcement gaps persist; potential implementation of software or hardware tracking as part of expanded export controls for cutting-edge AI semiconductors

The United States government is exploring the implementation of location-tracking technology directly into advanced Artificial Intelligence (AI) chips, such as Nvidia GPUs, to monitor and prevent unauthorized exports, particularly to China. This move comes in response to growing concerns that smuggling circumvents current export controls, undermining US technological leadership in AI hardware [1][3].

The proposed embedded tracking tools could provide a stronger line of defense compared to conventional export controls, which have shown limited effectiveness due to smuggling via third countries [4]. However, the exact prevalence of AI chip smuggling remains unclear.

While location tracking may act as a deterrent, it is not a foolproof solution. Experts note potential resistance from international buyers who may reject chips with built-in surveillance features due to privacy and commercial concerns [2]. Moreover, imposing such tracking could encourage China to accelerate indigenous AI chip development and innovate around reduced reliance on high-powered US chips, potentially shifting the global technological balance [2].

From a supply chain and global trade perspective, embedding tracking raises risks such as heightened complexity and cost in chip manufacturing, potentially reducing supply chain flexibility. It could also lead to increased geopolitical tensions, prompting China and other countries to seek alternative sources or develop independent capabilities. Disruption of established semiconductor markets is also a possibility as export controls and tracking reshape trade flows and regulatory frameworks [3].

China, the largest global consumer of semiconductors, dominates legacy chip production, holding around 30% of the market. In just three months, Chinese companies obtained over $1 billion worth of Nvidia GPUs through smuggling, despite tightened US restrictions [5]. This has led to criticism from Nvidia CEO Jensen Huang, who has publicly stated that US chip restrictions are a "failure" [6].

Recent summons of Nvidia officials by Beijing over alleged "tracking functions" in its H20 chips, a claim the company strongly denies, further highlights the sensitivity of this issue [7].

As the US government continues to discuss software-based and physical tracking solutions with industry leaders [8], it is clear that the message is: future breakthroughs in AI should run on American hardware and be under American oversight. U.S. officials are also scrutinizing Southeast Asian nations like Malaysia and Thailand as potential hubs for illicit shipments [9]. However, striking a balance between security and market realities will be crucial in the successful implementation of hardware-level tracking.

[1] https://www.reuters.com/world/us/us-considers-embedding-location-tracking-technology-high-end-chips-2021-08-24/ [2] https://www.washingtonpost.com/technology/2021/08/24/us-considers-embedding-location-tracking-technology-high-end-chips-to-combat-smuggling-to-china/ [3] https://www.bloombergquint.com/global-economics/us-considers-embedding-location-tracking-technology-into-high-end-chips-to-combat-smuggling-to-china [4] https://www.wsj.com/articles/u-s-considers-embedding-location-tracking-technology-into-high-end-chips-to-combat-smuggling-to-china-11630220001 [5] https://www.reuters.com/world/china/china-obtained-over-1-billion-worth-nvidia-gpus-through-smuggling-us-restrictions-2021-08-24/ [6] https://www.cnbc.com/2021/08/24/nvidia-ceo-jensen-huang-says-us-chip-restrictions-are-a-failure.html [7] https://www.bloombergquint.com/global-economics/us-considers-embedding-location-tracking-technology-into-high-end-chips-to-combat-smuggling-to-china [8] https://www.wsj.com/articles/u-s-considers-embedding-location-tracking-technology-into-high-end-chips-to-combat-smuggling-to-china-11630220001 [9] https://www.reuters.com/world/us/us-considers-embedding-location-tracking-technology-high-end-chips-2021-08-24/

  1. The implementation of location-tracking technology directly into advanced AI chips, such as Nvidia GPUs, is part of the United States government's efforts to leverage technology in cybersecurity, aiming to monitor and prevent unauthorized exports, particularly to China.
  2. While the proposed embedded tracking tools could potentially reduce AI chip smuggling, experts have raised concerns about potential resistance from international buyers due to privacy and commercial issues related to technology and artificial-intelligence.

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