FARM AI Act of 2026
- Sponsor
- Sen. Budd, Ted [R-NC]
- Committees
- Agriculture, Nutrition, and Forestry Committee (primary)
- Last action
- May 21, 2026
Bottom line
The FARM AI Act of 2026 aims to accelerate the integration of artificial intelligence into U.S. agriculture through expanded research priorities, enhanced educational outreach, and dedicated federal guidance to boost productivity and global competitiveness.
What it actually does
This bill, the FARM AI Act of 2026, directs the Department of Agriculture (USDA) to increase access to artificial intelligence (AI) across its programs. It amends existing acts like the Competitive, Special, and Facilities Research Grant Act (AFRI) and the National Agricultural Research, Extension, and Teaching Policy Act of 1977 (AgARDA) to include AI as a priority for research, development, and workforce training. Additionally, it establishes an Artificial Intelligence Agriculture Advisor within the National Institute of Food and Agriculture (NIFA) to promote AI adoption, provide technical assistance, and collaborate with the National Institute of Standards and Technology (NIST) on AI standards for the agriculture sector.
Proponents argue
Supporters argue that this bill is vital for modernizing American agriculture, enabling farmers to leverage AI for improved productivity, enhanced decision-making in crop and animal management, and the development of precision technologies. They contend that increased AI adoption will reduce resource use, expand economic opportunities for small, medium, and family-run farms, and allow United States farmers to outcompete international rivals, thereby strengthening the nation's food security and rural economies.
Opponents contend
Critics might raise concerns about the potential for a digital divide, arguing that the costs associated with AI adoption and necessary infrastructure (like broadband) could disproportionately burden smaller or less technologically advanced farms. They may also question the capacity of existing USDA programs and extension services to effectively implement complex AI training and outreach, or express apprehension about data privacy and security implications of widespread AI use in agriculture.
The bill is concise and clearly structured, making it accessible for an informed reader to understand its provisions and implications within a reasonable timeframe.
Section 3(a)
Expanding AFRI Grant Priorities to Include AI and Workforce Development
This provision amends the Competitive, Special, and Facilities Research Grant Act (AFRI) to explicitly include research, development, and implementation of artificial intelligence as a priority area. This AI focus covers precision agriculture, farm management, crop production, resource management, cybersecurity, and weather monitoring. It also adds workforce development and technical training related to computing systems, AI, precision agriculture adoption, and machine maintenance as a new priority.
Supporters argue
Supporters argue that explicitly including AI in AFRI grants ensures federal agricultural research priorities align with cutting-edge technological advancements, driving innovation and maintaining the competitiveness of the U.S. agricultural sector.
Critics contend
No specific opposition is typically raised against expanding research priorities, though some might argue for different funding allocations or express concerns about the practical applicability of all research outcomes for immediate farm-level benefits.
Tradeoffs
The provision navigates the tradeoff between supporting traditional agricultural research areas and dedicating resources to emerging, potentially transformative technologies like AI, while also addressing the need for a skilled workforce to implement these innovations.
Section 3(c)
Modernizing Cooperative Extension with AI Outreach
This section amends the Act of May 18, 1914, which governs the Cooperative Extension System, to explicitly include artificial intelligence systems and data-driven agricultural management tools within its scope. This change mandates that Cooperative Extension activities provide outreach and education to producers and rural communities on the adoption and use of these advanced technologies.
Section 4
Establishment of Artificial Intelligence Agriculture Advisor
This section creates a new senior official position, the Artificial Intelligence Agriculture Advisor, within the National Institute of Food and Agriculture (NIFA) of the USDA. This advisor is tasked with encouraging and promoting AI adoption and use across all States, including providing technical assistance, workforce training, supporting precision agriculture, data-driven farm management, and animal system management. A key duty is to collaborate with the National Institute of Standards and Technology (NIST) to develop and implement national AI standards specifically for the agriculture sector.