GSA Unveils New AI Safeguarding Rule Impacting Contractors

In June 2026, the General Services Administration (GSA) announced a significant update to its acquisition framework regarding the use of artificial intelligence, specifically through the proposed rule GSAR 552.239-7001. This new regulation sets forth comprehensive data safeguarding requirements aimed at government contractors who deploy large language model (LLM) AI systems. As the federal government increasingly incorporates AI technologies into its operations, this rule not only aims to enhance data security but also addresses critical concerns regarding data ownership, operational obligations, and safeguarding against foreign adversaries.

The proposed rule encompasses a variety of GSA’s government-wide acquisition contracts, including the Federal Supply Schedules and OASIS+ professional services vehicles. At its core, the regulation requires contractors to implement strict measures to protect government data processed by AI, ensuring that deployed systems are designed to be truthful and nonpartisan. Seth Morris, a legal expert from Parker Poe Adams & Bernstein LLP, emphasized the importance of this requirement, stating, "Contractors would be required to ensure that deployed LLMs are truthful, nonpartisan, and not configured to embed partisan or ideological bias." This assertion underlines the GSA's responsibility to uphold integrity and objectivity in AI-assisted decision-making, acknowledging concerns about potential biases embedded within AI systems.

While the GSA's draft represents progress in responding to initial feedback received from stakeholders, it has also raised a number of critical questions. Contractors have voiced concerns about aspects of the rule that may lack clarity, particularly in its definition of critical terms and its compatibility with customary commercial practices. Feedback has indicated that parts of the regulation could impose unworkable conditions for contractors, particularly those providing Software-as-a-Service (SaaS) solutions. For instance, the eight-week public comment period, open until August 3, 2026, presents a vital opportunity for industry stakeholders to refine the proposed regulation further and express their concerns.

Key issues raised include the ambiguity surrounding data ownership and the implications this has for intellectual property rights. It is anticipated that, should the rule maintain its current form, it may deter some leading LLM vendors from engaging in government-specific contracts, as the specified terms may be incompatible with their existing business frameworks. Industry experts assert that if major developers opt out of GSA contracts due to these stipulations, federal agencies may need to resort to alternatives outside the GSA’s purview to acquire advanced AI solutions—an outcome that could undermine the very purpose of establishing a regulated procurement environment.

Industry representatives have actively participated in discussions with GSA officials to address these concerns, particularly during a listening session held on July 14, 2026, in Washington, D.C. The balance between innovation and stringent regulation continues to be a focal point of contention as federal agencies seek to leverage sophisticated AI technologies while ensuring robust safeguards against data misuse. Furthermore, participants emphasized the necessity for practical clarity within the regulatory framework, reinforcing the need for definitions and requirements that align with commercial standards and realities.

As the procurement landscape evolves with the integration of AI technologies, federal contractors must remain vigilant in assessing how the implications of the proposed rule might impact their operational capabilities. Their responses will shape the final regulation as the GSA considers the provided feedback. The consequences on procurement mechanisms, data privacy policies, and contract conditions will be significant, influencing how contractors interact with the GSA’s systems moving forward.

Contractors should therefore proactively evaluate their compliance structures, revisiting their contract terms, which may require adjustments to meet the new safeguarding expectations laid out by the GSA. The final shape and content of this rule will significantly influence the future design and deployment of AI systems within the federal landscape.