And thanks to @wsj.com's @joshchin.bsky.social for covering the report this morning!
www.wsj.com/world/china/...
And thanks to @wsj.com's @joshchin.bsky.social for covering the report this morning!
www.wsj.com/world/china/...
12/ Read the report here: cset.georgetown.edu/publication/...
11/ The PLA is tapping both legacy defense giants and a rising class of civilian AI innovators. The U.S. must prepare for a more diffuse, harder-to-target Chinese defense industrial base.
10/ While this work covers only a small slice of Chinaβs military procurement landscape, it suggests that Chinaβs military-civil fusion strategy is paying dividends.
9/ For the U.S. and its allies, this complicates research security, export controls, and sanctions. Most of these NTVs/universities are not under U.S. restrictions. Distinguishing between benign and risky ties is harder than ever.
8/ Our findings reveal that the PLA is diversifying its AI supply chain. SOEs still win the highest-value contracts, but NTVs and civilian institutions are making the ecosystem more agile and competitive.
7/ Civilian universities are also in the mix. Tsinghua, Shanghai Jiao Tong, and others won AI contracts with direct military applications, from swarm navigation to targeting software.
6/ One telling example is Flytek Digital (closely linked to iFlytek), which won 20 contracts for AI-enabled speech processing & decision-support algorithms. Other top NTVs include PIESAT (satellites/AI) and Chengdu JOUAV Automation (drones).
5/ Most of the NTVs are young. The majority were founded after 2010, and they specialize in dual-use tech, ranging from drones to data fusion. They see both defense and civilian markets as paths to growth.
4/ BUT nearly ΒΎ of the suppliers were βnontraditional vendorsβ (NTVs), or companies with no self-reported state ownership ties. Together, they won 764 contracts, more than SOEs or universities.
3/ We found that legacy defense players lead AI procurement. State-owned giants like CETC, CASC, and NORINCO, as well as defense-linked universities like the βSeven Sons,β remain the backbone of the PLAβs AI procurement.
2/ Between Jan 2023βDec 2024, the PLA issued 2,857 AI-related contract award notices. 1,560 entities won at least one bid. We zeroed in on the 338 suppliers that won multiple contracts.
1/ π¨ In a new @csetgeorgetown.bsky.social report, Cole Mcfaul, Daniel Chou, and I examine the inner workings of Chinaβs military-civil fusion strategy and AI defense industrial base. Hereβs what we found π§΅
If you read the article, you'd realize we're in fact not arguing China would be able to use Taiwan's fabs to produce chips.
Check out my latest in @lawfaremedia.org with @aidanpowers.bsky.social
t.co/0RBXnVkvQL
5/ Of course, political considerations will be the most important factor in China's Taiwan calculus, but the semiconductor prowess that once shielded Taipei could become a strategic liability by making it a more tempting target.
4/ Export restrictions have choked off China's access to many of these chips, and China is making progress on mature semiconductors. If Washingtonβs AI advantage grows too steep, China may feel compelled to actβboth to reclaim Taiwan and level the AI playing field.
3/ Complicating matters further is the fact that the U.S.βChina AI race is heating up, and Taiwan sits at the heart of it. The worldβs most advanced AI models rely on the cutting-edge chips produced in Taiwan.
2/ That dynamic is now shifting. Several geopolitical factors are eroding its protective power, including worsening crossβstrait tensions, China's rapid military modernization, and doubts about U.S. willingness to defend Taiwan, among others.
THREAD: Why Taiwanβs βSilicon Shieldβ might be turning into a target.
1/ For years, Taiwan's dominance in semiconductor production has served as a kind of "silicon shield," a deterrent against Chinese aggression because any conflict could devastate global chip supply chains.
On Lawfare Daily, @jshermcyber.bsky.social spoke to @sambresnick.bsky.social about his recently published report, βBig Tech in Taiwan,β on 17 companiesβ Taiwan entanglements, and how greenfield foreign direct investments, data centers, supply chains, and more expose those companies to Taiwan.
To do this, the U.S. government should work with allies and partners and invest in industries of the future. By integrating world-class hardware with leading software, Washington can fortify its position against global competitors.
END
nationalinterest.org/feature/amer...
Rebuilding the βphysical economyβ isn't about recapturing past glory; it's about creating a resilient ecosystem where advanced hardware and innovative software co-evolve to meet the demands of modern warfare and the global market.
Rebalancing is the challenge at hand. To remain competitive, U.S. policymakers must ensure that innovation in software is matched by strength in hardware.
Future technological breakthroughs, such as AI-powered drones and autonomous vehicles, demand the seamless integration of software with robust hardware production. Without this balance, the U.S. risks falling behind in the global tech competition.
This divergence is critical. U.S. tech giants may create cutting-edge software, but they lack the ability to produce the physical components that power modern innovations. Itβs a split that could expose vulnerabilities in both economic and national security.
At the same time, China has become a competitive player in software and AI. TikTok is one of the world's most popular social media platforms, and DeepSeek has emerged as a critical AI developer.
Meanwhile, China has taken a different route. Its strategy? Double down on manufacturing. Chinese-made EVs make up 76 percent of global sales, while DJI controls 90 percent of the consumer drone market. Beijing also dominates in industrial robots.
The US built an economic dynamo by shifting from building tangible products to focusing on software. Yet, this lean towards the digital has left a gapβa diminished capacity for advanced manufacturing in sectors like EVs, drones, and robotics.
In The National Interest, @jack-corrigan.bsky.social and I argue the US-China tech race will be defined by the integration of advanced software and hardware. US firms lead in AI, but CN companies now dominate emerging hardware. The US risks falling way behind.
π§΅
nationalinterest.org/feature/amer...