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11. Averting AI Armageddon: U.S.-China-Russia Rivalry at the Nexus of Nuclear Weapons and Artificial Intelligence

Author:
Jacob Stokes, Colin H. Kahl, Andrea Kendall-Taylor, and Nicholas Lokker
Publication Date:
02-2025
Content Type:
Special Report
Institution:
Center for a New American Security (CNAS)
Abstract:
In recent years, the previous bipolar nuclear order led by the United States and Russia has given way to a more volatile tripolar one, as China has quantitatively and qualitatively built up its nuclear arsenal. At the same time, there have been significant breakthroughs in the field of artificial intelligence (AI) technologies, including for military applications. As a result of these two trends, understanding the AI-nuclear nexus in the context of U.S.-China-Russia geopolitical competition is increasingly urgent. There are various military use cases for AI, including classification models, analytic and predictive models, generative AI, and autonomy. Given that variety, it is necessary to examine the AI-nuclear nexus across three broad categories: nuclear command, control, and communications; structural elements of the nuclear balance; and entanglement of AI-enabled conventional systems with nuclear risks. While each of these categories has the potential to generate risk, this report argues that the degree of risk posed by a particular case depends on three major factors: the role of humans, the degree to which AI systems become a single point of failure, and the AI offense-defense balance. As Russia and China increasingly aim to modernize their nuclear arsenals and integrate AI into their militaries, it is essential for policymakers to be aware of the risks posed by the AI-nuclear nexus. Dealing with China and Russia on issues at this nexus is likely to be difficult in the current diplomatic and military context, characterized by increasingly strained bilateral relationships between the United States and both China and Russia, along with an uptick in coordination between Beijing and Moscow. Nonetheless, there are still various steps that U.S. policymakers could take to bolster deterrence and stability with respect to these issues. These include: building knowledge and competency around issues at the AI-nuclear nexus; integrating AI into diplomatic initiatives related to nuclear and other strategic risks, and vice versa; establishing and promoting norms for the safe use of AI in relation to nuclear arsenals and other strategic capabilities; developing policy and technical criteria for assessing exactly how and when to keep humans in the loop on all nuclear-related processes; including AI technologies as a factor in oversight and reviews of the U.S. nuclear arsenal; investing in AI-enabled cyber and space capabilities to enhance defense and resilience, reduce incentives to attack those areas, and mitigate entanglement risks; consulting closely with U.S. allies about how AI will shape extended deterrence calculations related to both nuclear and conventional capabilities; and pursuing a comprehensive set of risk reduction and crisis management mechanisms with China and Russia while recognizing the obstacles to progress. Failing to take these steps could leave the country and the world dangerously exposed to risks and ill-prepared to seize any opportunities arising from the increasingly salient AI-nuclear nexus.
Topic:
Defense Policy, Nuclear Weapons, Cybersecurity, Artificial Intelligence, and Rivalry
Political Geography:
Russia, China, Asia, North America, and United States of America

12. Countering the Digital Silk Road: Brazil

Author:
Ruby Scanlon and Bill Drexel
Publication Date:
04-2025
Content Type:
Special Report
Institution:
Center for a New American Security (CNAS)
Abstract:
This year marks the 10th anniversary of the Digital Silk Road (DSR), China’s ambitious initiative to shape critical digital infrastructure around the world to advance its geopolitical interests and technology leadership. A decade after its launch, digital infrastructure and emerging technologies have only grown more vital and contested as demand for connectivity, digital services, and emerging technologies like artificial intelligence (AI) expand. Against this backdrop, the DSR has become increasingly central to China’s broader strategy to challenge and ultimately supplant the U.S.-led digital order, and in doing so, reap potentially vast security, economic, and intelligence advantages. To assess the DSR’s impact 10 years after its inception—and explore how the United States and its allies can offer a more compelling and coherent alternative—the CNAS Technology and National Security team has undertaken a major research project that produces in-depth case studies of four diverse and geostrategically critical nations—Indonesia, Brazil, Kenya, and Saudi Arabia—and culminates in a full-length report. The second case study focuses on Brazil. For the study, researchers from the CNAS Technology and National Security team spent a week in the country interviewing local policymakers, journalists, technology firms, civil society, and academics, along with U.S. diplomats, development experts, and companies. Drawing on these interviews and desk research, this case study seeks to shed light on the current dynamics and stakes of the U.S.-China competition to shape Brazil’s digital ecosystem.
Topic:
National Security, Geopolitics, Artificial Intelligence, and Digital Silk Road (DSR)
Political Geography:
China, Asia, Brazil, and South America

13. CTC Sentinel: April 2025 Issue

Author:
Michael Knights, Paul Cruickshank, Ayush Verma, Imtiaz Baloch, and Riccardo Valle
Publication Date:
04-2025
Content Type:
Journal Article
Journal:
CTC Sentinel
Institution:
The Combating Terrorism Center at West Point
Abstract:
In this month’s feature article, Michael Knights illuminates the nexus between Iraq’s oil sector and the Iran threat network. He writes: “The Iran threat network suffered grievous blows in Lebanon, Syria, Gaza, and Iran itself in 2024, and this has arguably made oil-rich Iraq even more important to the network. Facing renewed maximum pressure from the United States, Iran needs not only Iraq’s terrorist fundraising potential but also its value as a ‘laundromat’ through which Iranian energy products can be fraudulently relabeled as Iraqi exports. Using their control of the al-Sudani government, Iran-backed terrorist groups and militias are developing significant new strands of threat financing using Iraq’s oil sector, which combine to provide billions of dollars of illicit value each year. Iraq is thus emerging as Iran’s best bet for neutering the Trump administration’s renewed maximum pressure campaign.” He notes that “U.S.-designated foreign terrorist organizations are no longer content to steal oil, only to have smuggling businessmen realize most of the profits. Instead, terrorist organizations have muscled into this value-addition segment of the oil market in recent years, with AAH [Asaib Ahl al-Haq] and KH [Kataib Hezbollah] leading the pack.” Our interview is with Charlie Winter, the co-founder and chief research officer of ExTrac AI, an AI-assisted intelligence platform that identifies, maps, and forecasts geopolitical risk, including in the counterterrorism space. He states: “Our USP pivots around accessing, ingesting, and processing high-relevance publicly available information and data from hard-to-reach parts of the internet that reflects the online and offline activities and psychological operations of various non-state and state threat actors. And through our platform, which is both a web and mobile app, we provide both access to that data and the ability to generate insight from it rapidly—and we do that using a range of different kinds of automation, machine learning, [and] artificial intelligence.” He adds: “We essentially have built our system to let machines do what they do best and let human analysts do what they do best, and enable the analysts to spend a lot more time performing the highest-value tasks in the intelligence cycle.” Ayush Verma, Imtiaz Baloch, and Riccardo Valle examine the Baloch insurgency in Pakistan. They write: “The Baloch insurgency in Pakistan has intensified sharply since the beginning of 2025, marked by sophisticated attacks such as the Jaffar Express hijacking by Baloch Liberation Army-Jeeyand faction (BLA-J) on March 11, 2025, which resulted in the kidnapping of more than 400 passengers and death of at least 26 hostages. Groups like BLA-J, Balochistan Liberation Front (BLF), and Baloch Liberation Army-Azad faction (BLA-A) continue to deploy suicide bombers, including women, and temporarily seize territories, targeting Chinese nationals and China-Pakistan Economic Corridor (CPEC) projects. The insurgency’s regional spillover, especially into Iran, and competition for resources and prominence among factions of the insurgency further complicate Pakistan’s internal security.” They add: “Without a political resolution addressing long-standing grievances, the insurgency threatens to escalate, destabilizing both national and regional security.”
Topic:
Oil, Terrorism, Insurgency, Artificial Intelligence, Regional Security, Threat Assessment, and Transnational Threats
Political Geography:
Pakistan, Iraq, South Asia, and Middle East

14. Radical novelties in critical technologies and spillovers: how do China, the US and the EU fare?

Author:
Alicia Garcia-Herrero, Michal Krystyanczuk, and Robin Schindowski
Publication Date:
05-2025
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Critical technologies including artificial intelligence, semiconductors and quantum computing are attracting attention because of their indispensable nature and their role in national security strategies. We compare China, the United States and the European Union in these technologies and their subfields. We use large language models (LLMs) to identify which patents in these technologies can be considered most groundbreaking (not patented before) and worth replicating. These are ‘radical novelties.’ We find that the US clearly dominates quantum. Chinese and EU progress is similar. The US does slightly better than China in AI with clear dominance in generative AI, but China stands out in some important subfields, such as aerial vehicle technology. China dominates in a larger number of semiconductor fields but not in the highest value added, which is related to design. In a second step we assess how quickly radical novelties in these three technologies are transferred from one economic area to another and within each economic area. We find that the fastest transmission overall is for AI. The EU is by far the slowest in replicating radical novelties from the US and China, while the US and China tend to replicate European novel patents relatively quickly. Radical novelties are also replicated quickly between China and the US which is surprising given US controls on exports of critical technologies to China. Our findings are concerning for Europe because it does not produce enough critical patents in these technologies and because it is slower in replicating patents from the US and China.
Topic:
Science and Technology, Economy, Trade, and Artificial Intelligence
Political Geography:
China, Asia, and United States of America

15. Which companies are ahead in frontier innovation on critical technologies? Comparing China, the European Union and the United States

Author:
Alicia Garcia-Herrero, Michal Krystyanczuk, and Robin Schindowski
Publication Date:
05-2025
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Competition in critical technologies is attracting increasing attention not only because of the foundational nature of these technologies for other types of innovation, but also because of their role in the United States national security strategy. In this paper, we look into which entities in China, the European Union and the US innovate at the technology frontier in the three most important critical technologies – artificial intelligence, quantum computing and semiconductors – based on identification of the most radical novel patents in these technologies and their subsectors. Working with these pathbreaking patents, we look into the origin of the companies that file the largest numbers of them. US innovators dominate the innovation frontier for quantum computing and, to a lesser extent, AI, with Chinese innovators doing better in semiconductors. European innovators lag in all, but perform relatively better in quantum computing, in which they rank similarly to Chinese innovators. Furthermore, the innovation ecosystem is quite different across geographies. In the US, tech companies top the rankings of critical novelties and are highly concentrated: as many as three companies are in the top rankings of all of the three critical technologies. Frontier innovators in the field in which the EU competes most equally – quantum – are mostly research centres and not companies. China lies somewhat in between in all three domains.
Topic:
Science and Technology, European Union, Innovation, Artificial Intelligence, Semiconductors, and Quantum Computing
Political Geography:
China, Europe, Asia, and United States of America

16. How DeepSeek has changed artificial intelligence and what it means for Europe

Author:
Bertin Martens
Publication Date:
03-2025
Content Type:
Policy Brief
Institution:
Bruegel
Abstract:
By mid-2024, artificial intelligence large language models (LLMs) were running into diminishing returns to scale in training data and computational capacity. LLM training began to shift away from costly pre-training to cheaper fine-tuning and allowing LLMs to ‘reason’ for longer before replying to questions. Fine-tuning uses chain-of-thought (CoT) training data that includes questions and the logical steps to reach correct answers. This increases the efficiency of learning for smaller AI models, such as DeepSeek. CoT data can be extracted from large ‘teacher’ LLMs to train small ‘student’ models. These changes shift the cost structure of AI models from high pre-training costs to lower fine-tuning costs for model developers and more inference costs for users. While smaller models are cheaper to use, a positive AI demand effect is likely to exceed the negative price effect. Price competition between models will increase, resulting in tighter margins for AI firms. Specialised models can still fetch premium prices. Cheaper LLMs are an opportunity for European Union companies to catch up in building smaller AI models and applications on top of LLMs. Increased demand for AI services will require more investment in computing infrastructure, including in the EU. Investing in large LLMs and the corresponding hyperscale infrastructure is riskier, especially as price competition between models increases. Knowledge extraction between AI models puts pressure on model developers to protect their investments against free-riding by others. It also creates a dilemma for policymakers: should they favour free-riding to promote competition and innovation, or should they clamp down and reinforce monopoly rents to stimulate investment in AI models? Past policy will not be an appropriate response in a world that offers vastly expanded opportunities for knowledge pooling and innovation at lower cost.
Topic:
Science and Technology, European Union, Economic Policy, Microeconomics, Innovation, Artificial Intelligence, Large Language Models (LLMs), and DeepSeek
Political Geography:
Europe

17. The Economy in its Labyrinth: A Structuralist View of the Mexican Economy in the 21st Century

Author:
Liz Monroy Gomez Franco
Publication Date:
01-2024
Content Type:
Working Paper
Institution:
Political Economy Research Institute (PERI), University of Massachusetts Amherst
Abstract:
In this paper, I analyze the performance of the Mexican economy during the two decades of the 21st century. I focus on the aggregate and sectoral dynamics of the economy to understand the underlying dynamics behind the aggregate performance of the economy. With these results in mind, I analyze the changes and continuities in the conduction of macroeconomic and labor market policy with the arrival of a new administration in 2018. The goal of analyzing both elements is to provide an integrated view of the situation in which the Mexican economy will face three structural challenges: the medium and long-run effects of the COVID-19 pandemic, the integration of artificial intelligence into the production process, and climate change.
Topic:
Climate Change, Political Economy, History, Macroeconomics, Artificial Intelligence, COVID-19, and Labor Market
Political Geography:
North America and Mexico

18. Emerging Technologies and Terrorism: An American Perspective

Author:
Susan Sim, Eric Hartunian, and Paul J. Milas
Publication Date:
04-2024
Content Type:
Special Report
Institution:
The Strategic Studies Institute of the U.S. Army War College
Abstract:
In a world where technology is rapidly advancing and available to the masses, companies and policymakers face a daunting reality—non-state actors are using innovation for sinister purposes. While artificial intelligence (AI) and autonomous systems promise enhanced threat detection, terrorist groups are exploiting these tools for recruitment and attacks. The future is concerning as AI becomes more widespread and autonomous systems and augmented reality redefine society. A groundbreaking report is born from a collaboration between NATO COE-DAT and the US Army War College Strategic Studies Institute. This book unveils a grim forecast that terrorists are poised to exploit advances in artificial intelligence, autonomous systems, augmented reality, biotechnology, and nanotechnology. The line between reality and fiction blurs in the age of rapid technological evolution, urging governments, industries, and academia to unite in crafting ethical frameworks and regulations. As geopolitical tides shift, NATO stresses national responsibility in combating terrorism and advocating for collective strength against the looming specter of technology-driven threats. However, questions linger. Can regulatory frameworks keep pace with technological innovation? Will industry prioritize ethical considerations over profit margins?
Topic:
Agriculture, Science and Technology, Terrorism, Biosecurity, Artificial Intelligence, Nanotechnology, Biotechnology, and Nanoweaponry
Political Geography:
Global Focus

19. The Battle for Green Supremacy: Carbon Markets, Artificial Intelligence, and the Problem of Climate Finance

Author:
Carlos Roa and Shubham Dwivedi
Publication Date:
04-2024
Content Type:
Journal Article
Journal:
Baku Dialogues
Institution:
ADA University
Abstract:
Observe the bee as it pollinates flowers, fruits, vegetables, and a wide variety of other crops; according to the United Nations’ Food and Agriculture Organization, around one-third of the world’s food production depends on their little wings. Watch as the beaver builds its dam, shaping the landscape of its local environment. Its pond stores carbon, improves water quality, creates a suitable habitat to support biodiversity, and helps reduce climate impacts. One cannot help but conclude that some higher order guides the work of these and other creatures; someone or something seems to be managing the delicate ecology of our world. Unfortunately, human beings are not as adept at such complex environmental management. As the world increasingly bears witness to the dramatic effects of climate change, the urgency for decisive action has never been more critical. With the planet’s average temperature continuing to rise, resulting in more frequent, severe, and unusual weather events, the global community faces a stark reminder of the imperative to mitigate this environmental degradation. The upcoming UN Climate Change Conference in Baku (COP29) represents a pivotal moment for states to commit to ambitious strategies and deepen international collaboration in the fight against climate change. At the forefront is the pressing need to explore and affordably implement effective mechanisms that can significantly reduce carbon emissions on a global scale.
Topic:
Markets, Climate Finance, Artificial Intelligence, and Carbon Emissions
Political Geography:
Global Focus

20. Conceptualizing Global Governance of AI

Author:
Maral Niazi
Publication Date:
02-2024
Content Type:
Working Paper
Institution:
Centre for International Governance Innovation (CIGI)
Abstract:
Merging artificial intelligence (AI) and global governance, global AI governance focuses on defining terms to deepen understanding, promote collaboration and create informed policies. It emphasizes multi-stakeholder and multi-level cooperation in managing AI’s global impacts. AI’s societal impacts are broad, offering exceptional benefits while carrying unintended risks. Its rise poses geopolitical challenges, affecting transparency, privacy and power dynamics in both democratic and non-democratic states. Empirical and normative research is essential in forming global AI governance, guiding ethical values and legal practices for ethical data use and unbiased algorithm development. Empirical research provides verifiable knowledge through data and experiences, highlighting regime complexities in an anarchic system of global governance, meaning a system with no central authority. Normative research examines values and norms, assessing AI systems’ trustworthiness and ethical compliance. Multilateral cooperation in global AI governance involves collaborative efforts among numerous actors to establish universally accepted norms and policies for AI. An institutional framework for global AI governance should incorporate lessons from international organizations such as the International Atomic Energy Agency and the European Organization for Nuclear Research/Conseil européen pour la recherche nucléaire to guide AI’s ethical development and deployment within and beyond national borders. ABOUT THE AUTHOR
Topic:
International Cooperation, Governance, Multilateral Relations, Artificial Intelligence, and Emerging Technology
Political Geography:
Global Focus