AI’s Reach in Agriculture Is Expanding, but So Are Concerns
Are farmers and ranchers using AI? The technology’s potential to advance agriculture is easy to see, but how many producers are actually putting it to use?
Agriculture has long served as a testing ground for AI, powering tools like autonomous tractors, robotic milking and satellite-based crop forecasting. At the same time, the average U.S. farmer is 58 years old, and producers face demanding schedules and operational pressures that can make adopting new technology challenging.
MorganMyers surveyed farmers, ranchers, and agricultural retailers about whether and how they are using AI, where they see value, where improvements are needed, and whether they trust the results. The findings were compiled into a new report that offers a closer look at how agriculture is approaching AI today and where it may be headed next.
Download the report here.
AI Adoption Is Meaningful, but Experimental
MorganMyers’ 2026 survey found that 75% of farmers and ranchers have used AI tools like ChatGPT or Gemini to support their operations, and nearly half of that group uses those tools weekly or more. That suggests agriculture — like much of the broader workforce — is in an experimental phase of adoption.
Farm and ranch AI use is in an experimental phase, according to MorganMyers’ 2026 survey. | MorganMyers
How Agriculture Is Using AI Today and What Happens Next
Together, the survey findings and analysis help tell a more complete story of how agriculture is approaching the rapid evolution of AI.
“Farmers and ranchers aren’t resistant to AI. Our survey confirms they’re trying it out and can already see areas where it delivers value and could help them become even better operators in the future,” says Greg Ehm, Senior Vice President of Agriculture at MorganMyers. “At the same time, they’re weighing AI-generated recommendations against years of personal experience and practical knowledge. Farm decisions will continue to draw on data and human judgment.”
Ehm adds, “Companies and organizations hoping to build trust and confidence in AI tools for agriculture must show results, explain how recommendations were developed, and prove return on investment on real farms.”
For a closer look at where AI adoption stands today and what might influence its role on the farm moving forward, download the MorganMyers AI & Agriculture Report.
This article was originally published by our sister site CropLife. For more information, click here to read the original article.
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