FARM AI Act of 2026
- Sponsor
- Rep. Nunn, Zachary [R-IA-3]
- Committees
- Agriculture Committee (primary)
- Last action
- Jul 14, 2026
Bottom line
The FARM AI Act of 2026 aims to accelerate the adoption and integration of artificial intelligence across the U.S. agricultural sector through enhanced federal research, education, and advisory programs.
What it actually does
This bill, the 'FARM AI Act of 2026,' integrates artificial intelligence (AI) as a priority area across various Department of Agriculture (USDA) research, extension, and education programs. It amends existing acts like the Competitive, Special, and Facilities Research Grant Act (AFRI), the National Agricultural Research, Extension, and Teaching Policy Act (AgARDA), and the Act of May 18, 1914 (Cooperative Extension) to explicitly include AI research, development, implementation, and workforce training. Additionally, it establishes an Artificial Intelligence Agriculture Advisor within the USDA to promote AI adoption and develop national AI standards for the agriculture sector.
Proponents argue
Proponents argue that this bill is crucial for modernizing American agriculture, enhancing farm productivity, improving decision-making, reducing resource use, and boosting the competitiveness of U.S. farmers globally. They contend that federal guidance and coordination are essential to ensure the responsible and widespread adoption of AI technologies, particularly benefiting small, medium, and family-run farms through technical assistance and workforce development.
Opponents contend
Opponents might raise concerns about the potential for increased automation to displace agricultural labor, the significant upfront costs for farmers to adopt new AI technologies without sufficient financial support, and the challenges of ensuring equitable access to these advanced tools, particularly for underserved rural communities. They may also question the USDA's capacity to effectively develop and implement national AI standards in collaboration with the National Institute of Standards and Technology.
The bill is concise and relatively easy to read, allowing for a thorough understanding within a short timeframe.
Section 3(a)
AI as Priority in AFRI Research Grants
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 means that federal grants under AFRI will now specifically fund projects aimed at using AI to enhance 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, and machine maintenance as a priority.
Supporters argue
Proponents argue that explicitly prioritizing AI in AFRI grants will accelerate innovation in agricultural technology, ensuring that federal research addresses critical needs for modernizing farming practices and enhancing food security. They believe this will drive the development of practical tools for farmers.
Critics contend
Critics might argue that while AI is important, over-prioritizing it could divert funds from other crucial agricultural research areas that may have more immediate or broader impacts, or that are more accessible to a wider range of farmers.
Tradeoffs
The provision balances the need for cutting-edge technological advancement with the potential for resource allocation shifts from other established research priorities within the USDA's grant programs.
Section 3(b)
AI Integration in AgARDA Programs
This section amends the National Agricultural Research, Extension, and Teaching Policy Act of 1977 (AgARDA) to include the development and deployment of artificial intelligence systems as a focus. It specifically allows for the use of funds to develop AI solutions for farmers or ranchers, broadening the scope of AgARDA to support the practical application of AI in agricultural operations. This aims to bridge the gap between AI research and its real-world use.
Section 3(c)
Cooperative Extension AI Outreach
This provision amends the Act of May 18, 1914, which governs Cooperative Extension activities, to explicitly include artificial intelligence systems and data-driven agricultural management tools. It mandates that Cooperative Extension services provide outreach and education to producers and rural communities on the adoption and use of such technologies. This expands the traditional role of extension services to include modern digital agriculture.
Section 3(d)
AI Workforce Development Grants
This section amends the National Agricultural Research, Extension, and Teaching Policy Act of 1977 to include new purposes for grants and fellowships related to food and agricultural sciences education. Specifically, it adds the design and implementation of workforce development and technical training programs for rural communities, focusing on the implementation of computing systems and AI, precision agriculture adoption, and machine maintenance. It also prioritizes teaching enhancement projects that develop and implement AI systems and precision agriculture technologies.
Section 4(a)
Creation of AI Agriculture Advisor
This provision establishes an Artificial Intelligence Agriculture Advisor within the Department of Agriculture, to be a senior official from the National Institute of Food and Agriculture. The Advisor's duties include encouraging AI adoption and digital agriculture technologies in each State through technical assistance, workforce training, and support for small farms. Crucially, the Advisor is also tasked with collaborating with the National Institute of Standards and Technology to develop and implement national AI standards for the agriculture sector.
This is a conforming amendment that adds the authority of the Secretary to carry out Section 237 (the AI Agriculture Advisor section) to the list of authorities that are not transferred to the Under Secretary for Research, Education, and Economics under the Department of Agriculture Reorganization Act of 1994.
Section 4(b)
Why it matters:This is standard legislative practice for ensuring that new statutory authorities are properly integrated into the existing legal framework of an agency, clarifying reporting lines and responsibilities. It's not intended to be evasive.
Case for: Ensures clear lines of authority and prevents unintended organizational restructuring within the USDA regarding the new AI Advisor role, maintaining the Secretary's direct oversight.
Case against: No specific opposition is typically raised against such conforming amendments, as they are primarily technical in nature and necessary for legal clarity.
Estimated impact: Minimal direct impact on external stakeholders, but crucial for internal USDA organizational structure and legal clarity regarding the AI Advisor's reporting and operational independence.