China FIREWALL Act of 2026

Josh Gottheimer

Democrat · NJ · Representative

Source: Congress.gov · FEC

• Nick LaLota (R-NY-1)Original· 2026-10-01

Referred to the House Committee on Oversight and Government Reform.

2026-10-01

Source: Congress.gov

Plain-English summary pending. Introduced on 2026-10-01. Check back soon — summaries are generated as bills progress through Congress.

[Congressional Bills 119th Congress] [From the U.S. Government Publishing Office] [H.R. 10670 Introduced in House (IH)] <DOC> 119th CONGRESS 2d Session H. R. 10670 To prohibit Chinese AI models from being used on government-issued devices or software systems, to prohibit the procurement of any such models, and for other purposes. _______________________________________________________________________ IN THE HOUSE OF REPRESENTATIVES October 1, 2026 Mr. Gottheimer (for himself and Mr. LaLota) introduced the following bill; which was referred to the Committee on Oversight and Government Reform _______________________________________________________________________ A BILL To prohibit Chinese AI models from being used on government-issued devices or software systems, to prohibit the procurement of any such models, and for other purposes. Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled, SECTION 1. SHORT TITLE. This Act may be cited as the ``China FIREWALL Act of 2026''. SEC. 2. PROHIBITION ON THE USE OF CHINESE AI MODELS. (a) Prohibition on the Use of Chinese AI Models.-- (1) In general.--Not later than 60 days after the date of the enactment of this Act, the Director of the Office of Management and Budget, in consultation with the Administrator of General Services, the Director of the Cybersecurity and Infrastructure Security Agency, the Director of National Intelligence, and the Secretary of Defense, and consistent with the information security requirements under subchapter II of chapter 35 of title 44, United States Code, shall develop standards and guidelines for executive agencies that require the removal of any covered application from information technology. (2) National security and research exceptions.--The standards and guidelines developed under paragraph (1) shall include-- (A) exceptions for law enforcement activities, national security interests and activities, and security researchers; and (B) for any authorized use of a covered application under an exception, requirements for agencies to develop and document risk mitigation actions for such use. (b) Procurement Prohibition.--The head of an executive agency may not procure a covered application, including any software that utilizes a covered application. (c) Waiver.--The Director of the Office of Management and Budget, in consultation with the Administrator of General Services, the Director of the Cybersecurity and Infrastructure Security Agency, the Director of National Intelligence, and the Secretary of Defense may waive the requirements of this section, on a case-by-case basis, in the interest of national security. (d) Definitions.--In this section: (1) Artificial intelligence; ai.--The term ``artificial intelligence'' or ``AI'' has the meaning given that term in section 5002 of the National Artificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401). (2) Covered application.--The term ``covered application'' means any AI application that is developed or provided by a foreign entity of concern, or any software that utilizes a foundation model developed or provided by a foreign entity of concern. (3) Executive agency.--The term ``executive agency'' has the meaning given that term in section 133 of title 41, United States Code. (4) Foreign entity of concern.--The term ``foreign entity of concern'' has the meaning given that term in section 40207(a) of the Surface Transportation Reauthorization Act of 2021 (42 U.S.C. 18741(a)). (5) Foundation model.--The term ``foundation model'' means a software component of an information system that-- (A) implements artificial intelligence; (B) uses computational, statistical, or machine- learning techniques to produce outputs from a defined set of inputs; (C) is trained on a broad data set; (D) is designed for generality of output; and (E) is adaptable to a wide range of distinctive tasks. (6) Information technology.--The term ``information technology'' has the meaning given that term in section 11101 of title 40, United States Code. <all>

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