Congress Launches Probe Into U.S. Companies Using Chinese AI Models

House Committees Target Airbnb and Anysphere in National Security Investigation

Two U.S. House committees launched a formal investigation on April 29, 2026, targeting Airbnb and Anysphere over their adoption of Chinese-developed artificial intelligence models. The joint probe by the House Select Committee on China and the House Committee on Homeland Security signals Washington’s escalating alarm over a trend reshaping the enterprise AI landscape. American companies increasingly turn to cheaper Chinese alternatives like DeepSeek, Alibaba’s Qwen, and Moonshot AI’s Kimi amid mounting pressure to control AI spending while competing with premium-priced options from OpenAI and Anthropic.

The investigation centers on national security, cybersecurity, censorship, and model distillation concerns. Committee chairmen John Moolenaar and Andrew Garbarino sent letters to the companies’ CEOs requesting detailed information about their use of Chinese-built AI systems, the reasons behind those choices, and communications with model providers. The operational question extends beyond whether Qwen, Kimi, or other lower-cost models perform well-companies must now prove where prompts, logs, model weights, and inference traffic are handled when regulators demand evidence.

“The Chinese Communist Party is no longer just nipping at our heels in artificial intelligence; it is racing to close the gap in some of the exact capabilities that will shape the future of cybersecurity,” Andrew Garbarino, chairman of the U.S. House Committee on Homeland Security, told CNBC.

The probe forces companies to turn model origin into a production governance issue by proving where sensitive data flows when regulators demand documentation. Reporting from Semafor and Nextgov tied the Anysphere portion to Cursor’s Composer 2, which the company disclosed as being built on Moonshot AI’s Kimi. The Airbnb portion focused on use of Alibaba’s Qwen in customer-service tooling.

Cost Pressures Drive Adoption Despite Security Warnings

Chinese AI models gain traction among U.S. firms as they close the performance gap with American rivals while offering substantially lower costs. The competitive dynamics behind Chinese AI adoption prove brutal for American providers. DeepSeek and similar Chinese models offer APIs at prices that undercut American providers significantly. This creates real savings that make procurement teams override security objections despite mounting geopolitical tensions.

Chinese providers spotted the opening created by American pricing strategies and capitalized aggressively. That cost advantage proves hard to resist even as geopolitical tensions simmer. Companies face pressure to control AI spending while maintaining competitive capabilities, creating a dilemma between budget constraints and potential compliance nightmares.

“Recent reporting that a Chinese open-weight model can match leading U.S. models in certain vulnerability discovery and cybersecurity tasks is highly alarming,” said Garbarino.

The investigation raises fundamental questions about data security and potential espionage risks. When U.S. companies feed sensitive information into Chinese AI models, lawmakers demand answers about where that data goes and who has access. These concerns extend beyond theoretical scenarios-they represent the kinds of questions keeping both CISOs and legislators vigilant about supply-chain vulnerabilities.

State Department Warns of Ideological Risks in Chinese Models

A State Department spokesperson told CNBC that the growing use of Chinese AI models by U.S. companies raises serious concerns beyond operational security. AI models designed by Chinese entities advance Beijing’s narratives, censor dissent, and reflect CCP ideology and values, according to the official statement. The warning frames Chinese AI adoption as both a technical vulnerability and an ideological risk vector.

“The growing use of Chinese AI models by U.S. companies raises serious concerns,” a State Department spokesperson told CNBC. Those “AI models are designed to advance Beijing’s narratives, censor dissent, and reflect CCP ideology and values.”

A spokesperson for the U.K. embassy of the People’s Republic of China rejected the allegations, stating the country “opposes baseless allegations and malicious smears against its AI development.” They emphasized that “China’s thriving AI sector is built on self-reliance and strength in science and technology,” characterizing Western concerns as unfounded criticism of legitimate technological progress.

Companies Respond as Regulatory Pressure Intensifies

CNBC reporting added company-side context to the investigation. Airbnb responded that most of its AI activity runs on U.S.-origin models, with limited China-origin open-source use going through approved U.S.-based service providers. The response illustrates how companies navigate the complex terrain of cost optimization, performance requirements, and regulatory compliance in an increasingly polarized technological landscape.

The investigation arrives at a critical moment because artificial intelligence has become a key point of rivalry between the U.S. and China, as both nations pursue supremacy in the field. In April, the Trump administration accused Chinese entities of waging “industrial-scale campaigns” to rip off U.S. AI systems and announced plans to explore ways to hold foreign actors accountable.

Reuters reported on Tuesday that Beijing now looks at curbing overseas access to China’s leading AI models, potentially creating a reciprocal restriction dynamic. While some government departments have banned the usage of Chinese AI models including DeepSeek, adoption of them by U.S. companies remains legally permissible, creating a regulatory gray zone the investigation may clarify.

Governance Challenge for AI and Data Teams

For AI and data teams, the investigation transforms model provenance into a mandatory production governance issue. Cheaper open-weight or API-accessible models reduce operational costs significantly, but they also create new documentation, routing, data-processing, and vendor-risk obligations that companies must track meticulously. The practical issue extends beyond technical performance metrics to include comprehensive audit trails and data sovereignty assurances.

The probe exposes how what appears as a bargain in short-term budget planning could become a compliance nightmare if Congress moves toward formal restrictions on Chinese AI usage. Companies must now weigh immediate cost savings against potential future regulatory barriers, creating uncertainty in long-term AI infrastructure planning. The investigation signals that lawmakers view this trend as dangerous enough to warrant formal scrutiny, potentially foreshadowing legislation that could reshape enterprise AI procurement practices across American industry.