# China Hunts American AI Talent, One Spy at a Time > Introduction: The AI cold war has changed its face - Author: Maxime Marquette - Publisher: MadMax (https://mad-max.co) - Section: Essay - Published: 2026-07-03 - Canonical URL: https://mad-max.co/en/article/essai-la-chine-chasse-le-cerveau-de-lia-americaine-un-espion-a-la-fois ## Introduction: The AI cold war has changed its face ### An escalation documented by the numbers On **June 30, 2026**, **CNBC** published a report that should send a chill through every American **artificial intelligence** startup: **cybersecurity** firm **CrowdStrike** documented that Chinese entities now account for **more than half** of state-sponsored intrusions targeting technology companies, particularly their AI-related assets, over the **twelve months ending March 31**. This is no longer a hypothesis from paranoid analysts. It's a cold, verifiable statistic that confirms what several **national security** experts have been repeating for months: **Beijing** has made the AI race a state **espionage** priority. **Matt Pearl**, director of the strategic technologies program at the **Center for Strategic and International Studies**, confirms that the **People's Republic of China** has intensified its targeting of the tech sector as the AI race heats up. This is no calendar coincidence: it's a deliberate strategy aimed at the very heart of America's competitive advantage. ### From classic hacking to theft by resemblance What makes this wave different from previous Chinese industrial **espionage** campaigns is the diversity of methods employed. This is no longer just classic computer hacking, but a full spectrum ranging from recruiting infiltrated employees to the troubling replication of American **artificial intelligence** models. **Anthropic** has directly accused Chinese companies, including the giant **Alibaba**, of illicit attempts to steal its AI capabilities. Startup **Copyleaks**, which specializes in detecting AI-generated content, revealed that responses from the Chinese model **DeepSeek R1** resembled those of **OpenAI's ChatGPT** nearly **three times out of four**, a similarity rate that strongly suggests the Chinese open-source model was trained directly on the American model's outputs. Copyleaks CEO **Alon Yamin** was categorical: **"We haven't seen that with other language models."** ## The spy on the inside: the Agentiq Capital case ### An employee, a modest salary, an alleged sabotage **Brian Abbott**, founder and CEO of American startup **Agentiq Capital**, told **CNBC** a story that perfectly illustrates the new risks facing young AI companies. According to him, an employee hired in **China** last year acted as an agent for **Beijing**, deliberately altering code and the company's website content in order to prevent **Agentiq Capital** from securing **venture capital** funding. Abbott alleges this employee replaced references to **"ASI,"** the acronym for **artificial superintelligence**, with the word **"fintech,"** a semantic sabotage that directly hurt the company's ability to attract investors in a sector where strategic positioning matters enormously. The employee was fired earlier this year, and the company filed a complaint with the **FBI**. ### A pittance of a salary, an unsuspected risk The most troubling detail in this affair concerns compensation: Abbott says the employee was initially willing to work for free, before eventually receiving **a few thousand dollars a month** plus stock options. **"If we paid everyone market rate, for a start-up that's just starting out, I could never afford it,"** he explained, revealing in the same breath the structural vulnerability of young American companies to cheap labor that could conceal hostile intentions. **CNBC** notes it could not independently verify this allegation. This is an essential nuance: no judicial evidence has yet established this particular employee's guilt. But the fact that the **FBI** has taken up the case, and that the agency itself calls Chinese economic **espionage** a **"continuing threat that costs the American economy hundreds of billions of dollars a year,"** lends weight to Abbott's concern. ## The FBI sounds the alarm ### Hundreds of billions at stake every year The **FBI**'s statement deserves to be quoted in full, it's that direct: **"China's economic espionage campaign is a continuing threat that costs the American economy hundreds of billions of dollars a year and jeopardizes our national security."** The agency added that it prioritizes investigating any potential theft of American technology by foreign actors and remains committed to protecting the homeland. This language is nothing new from the **FBI**, but its specific application to the **artificial intelligence** sector confirms that **Washington** now considers this industry a priority front of **national security**, on par with **semiconductors** or cutting-edge military technologies. ### Distinguishing state espionage from background noise **Graham Webster**, editor-in-chief of the DigiChina Project at **Stanford University**, offers an important nuance: distinguishing **espionage** sponsored by the Chinese state from individual or corporate efforts can be extremely difficult. He warned that **"narrative takes over from reality in a lot of decisions,"** a useful reminder that security panic can sometimes outpace verifiable facts. Webster also notes that the American government **"is trying to hold China back to some extent"** through technology export controls, and that one **"shouldn't be surprised that the Chinese government is trying the opposite."** It's a colder, more strategic reading of this rivalry: each side plays its own game, and moral outrage shouldn't replace a clear-eyed analysis of the interests at stake. ## Startups, the weak link in the security chain ### The cyber poverty line **Cliff Steinhauer**, director of information security at the **National Cybersecurity Alliance**, describes a phenomenon he calls **"cyber poverty lines"**: small companies simply don't have the resources of tech giants to defend against sophisticated cyberattacks. As capital has become the decisive engine of the AI race, with **startups** competing to challenge established giants or position themselves for a lucrative acquisition, cybersecurity often takes a back seat. Steinhauer stresses that human vulnerabilities often represent the greatest risk, particularly when attackers rely on **social engineering** tactics amplified by content campaigns powered by **artificial intelligence** itself. The irony is cruel: AI becomes both the target and the weapon of this silent war. ### New employees, immediate targets **Alon Yamin** of **Copyleaks** confirms this observation from direct experience: **"We've seen a lot of cases within our company where new employees, right when they join, immediately become the target of cyberattacks aimed at gaining access to our AI models,"** he said, adding that he expects to see more similar cases. This reality turns every new hire into a potential entry point for hostile actors. According to **Matt Pearl**, hackers are particularly interested in identifying weaknesses in supply chains and understanding companies' product roadmaps, intelligence of invaluable worth in a sector as highly competitive as **artificial intelligence**. ## Beijing bets big: subsidies and the talent war ### China's red carpet for local startups While American startups struggle to fund their own security, Chinese policymakers have deployed massive support for their domestic AI industry, including **free or subsidized computing power** and **rent-free office space** for **startups**. This contrast in industrial policies shows just how much **Beijing** treats **artificial intelligence** supremacy as an absolute state objective, mobilizing considerable public resources to accelerate its own industry while simultaneously attacking that of its rivals. **Isaac Stone Fish**, founder and CEO of **Strategy Risks**, confirms that **Beijing**'s attempts have **"certainly increased over the past eighteen months, since DeepSeek's release really kicked off the AI race between the United States and China."** This timeline is revealing: the acceleration of **espionage** coincides precisely with the intensification of the global technology rivalry. ### A multifaceted, openly embraced strategy Stone Fish describes a systemic approach: **"Beijing wants to make sure Chinese companies are at the forefront of the global AI race. One of the ways it accomplishes this is by sometimes working to suppress the development of American AI companies, through supply chain restrictions, employee harassment, hacking, targeted government subsidies for copycat competitors, among other strategies."** This description paints the picture of a coordinated state strategy that goes well beyond isolated acts of cybercrime. It is an industrial policy where **espionage**, subsidy, and commercial competition merge into a single instrument of national power. ## Anthropic strikes back: training instead of just defending ### Claude Corps, a counterintuitive response Facing this constant pressure, **Anthropic** chose a response that goes beyond a purely defensive posture. The company announced on **June 11** the launch of **Claude Corps**, a program aimed at training **a thousand people** in **artificial intelligence** and pairing them with nonprofit organizations across the **United States**. It's an interesting bet: rather than retreating solely into defensive **cybersecurity**, invest in expanding America's pool of AI talent. This initiative implicitly acknowledges a strategic reality: the best defense against the theft of talent and technology isn't just locking down systems, but also multiplying the number of qualified people capable of sustaining the American **artificial intelligence** ecosystem over the long term. ### An industry that must learn to protect itself collectively **Anthropic**'s case also illustrates a broader tension in the industry: large AI companies have the resources to both defend themselves and invest in long-term training initiatives, while small **startups**, like Brian Abbott's, must choose between hiring cheaply with heightened risks, or paying more for a more reliable but financially out-of-reach workforce. This resource asymmetry within the American AI ecosystem itself could, if left uncorrected, create security gaps concentrated precisely where the most disruptive innovation is happening: in young companies that don't yet have the means to match their ambitions. ## The technological response: export controls and advanced chips ### The semiconductor lever Washington already has a powerful tool in this rivalry: controlling exports of advanced **semiconductors** to **China**, a measure **Graham Webster** explicitly identifies as the way the American government is trying to hold back Beijing. These restrictions aim to slow Chinese access to the highest-performing chips, essential for training next-generation large **artificial intelligence** models. But this strategy has its limits: it also pushes **China** to invest massively in its own **semiconductor** production capacity, a race toward technological self-sufficiency that could, in the long run, reduce the very effectiveness of the export controls currently in place. ### A double-edged weapon American **semiconductor** companies, caught between **Washington**'s national security demands and the loss of lucrative markets in **China**, find themselves in an uncomfortable position. Some have publicly warned that overly strict controls could accelerate Chinese self-sufficiency rather than slow it, a strategic paradox that American policymakers must manage carefully. This tension illustrates the complexity of a technology war where every defensive measure carries side effects that can, in the end, strengthen rather than weaken the targeted adversary. ## Washington faces an urgent strategic choice ### Legislating without stifling innovation The American Congress faces a classic dilemma: strengthening oversight and security requirements for young **artificial intelligence** companies without stifling the speed of innovation that is precisely the strength of the American private sector against a more centralized Chinese state rival. Proposals are already circulating in **Washington** to offer tax credits or cybersecurity subsidies specifically aimed at technology **startups** deemed strategic. But Congress's usual legislative slowness contrasts harshly with the speed of execution of Chinese **espionage** campaigns documented by **CrowdStrike** and the **FBI**. Every month of legislative delay translates, according to several national security experts, into additional opportunities for hostile actors to infiltrate still-unprotected companies. ## Conclusion: A silent war that is only beginning ### The price of negligence would be immense What this story reveals is not an isolated scandal, but a structural, documented trend: **China** is investing considerable state resources to infiltrate, copy, and weaken the American **artificial intelligence** ecosystem, while that same ecosystem, particularly in its most fragile links — the **startups** — desperately lacks the means needed to defend itself effectively. **CrowdStrike**'s statistics, **Anthropic**'s accusations, Abbott's testimony, and the **FBI**'s warnings all converge on the same conclusion: Chinese technological **espionage** is no longer a hypothetical threat, it's a daily operational reality. The question is no longer whether this silent war exists, but how the West, and particularly the **United States**, intend to respond without giving in to either paralyzing paranoia or dangerous complacency. Between the two lies a narrow but necessary space: methodical vigilance, targeted **cybersecurity** funding for young companies, and closer cooperation between the private sector and **national security** agencies. ### The West must protect what sets it apart If **artificial intelligence** is truly the decisive strategic weapon of the twenty-first century, then protecting it deserves an effort commensurate with its importance, comparable to what has historically been devoted to protecting the most sensitive nuclear or military technologies. American **startups** shouldn't have to choose between surviving financially and protecting themselves against foreign state **espionage**. It is precisely this structural negligence, more than the sophistication of the Chinese attackers themselves, that represents today the most serious risk to maintaining the West's technological lead in a race where, in the end, there will be very few spots left for runners-up. **By Maxime Marquette, columnist** ## Columnist's transparency note ### Editorial stance I am not a journalist but a **columnist and analyst**. My expertise lies in observing and analysing the geopolitical, economic and strategic dynamics that shape our world. My work is to take political strategies apart, to understand global economic movements, to put the decisions of international actors in context and to offer analytical perspectives on the changes that are redefining our societies. I do not claim the cold objectivity of traditional journalism, which stops at reporting facts. **I claim analytical clarity**, rigorous interpretation and a deep understanding of the complex issues that concern us all. My role is to give meaning to the facts, to place them in their historical and strategic context, and to offer a critical reading of events. ### Method and sources This text keeps the basic distinction between **verified facts and interpretive analysis**. The rule never changes: a factual claim is published only when a verifiable source supports it, and the sources this article actually used are listed under **Sources**, never here. **Primary source families** used by the publication, when the story has them: official statements from governments and international institutions, public statements by political leaders, reports from intergovernmental organisations, dispatches from recognised international news agencies. **Secondary source families**: specialised publications, internationally recognised news media, analyses from established research institutions, reports from industry organisations. When an article cites statistical, economic or geopolitical data, it comes from the institutions that produce it (intergovernmental organisations, central banks, national statistics offices), and the exact institution is named under **Sources**. ### Nature of the analysis The analyses, interpretations and perspectives in the analytical sections of this article are a **critical, contextual synthesis** based on the information available, the trends observed and the expert comments cited in the sources consulted. My role is to interpret these facts, to set them in the context of today's geopolitical and economic dynamics, and to give them a coherent meaning within the larger story of the changes shaping our time. These analyses reflect expertise built through continuous observation of international affairs and an understanding of the strategic mechanisms that drive global actors. This article describes a documented state of affairs on its publication date, not a prediction: later developments may shift its outlook. No update is promised in advance; when an article is corrected or completed, the change is dated in the text. ## Sources ### Primary sources - [China-linked actors target more than technology as AI competition with U.S. intensifies — CNBC, June 30, 2026](https://www.cnbc.com/2026/07/01/china-ai-cyberattacks-startups-insider-risks-espionage.html) - [CrowdStrike 2026 Technology Threat Landscape Report — CrowdStrike, June 9, 2026](https://www.crowdstrike.com/en-us/blog/crowdstrike-2026-technology-threat-landscape-report/) - [Press release — Office of the Director of National Intelligence, 2026](https://www.dni.gov/index.php/newsroom/press-releases/press-releases-2026/4142-pr-03-26) ### Secondary sources - [DigiChina Project — Stanford University](https://www.stanford.edu/) - [Anthropic — Claude Corps announcement, June 11, 2026](https://www.anthropic.com/) - [Economic Espionage — Federal Bureau of Investigation](https://www.fbi.gov/investigate/counterintelligence/economic-espionage) --- Source: Maxime Marquette, MadMax. When citing, name the author and link https://mad-max.co/en/article/essai-la-chine-chasse-le-cerveau-de-lia-americaine-un-espion-a-la-fois