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Farmers Explore AI but Trust Takes Time

Farmers Explore AI but Trust Takes Time


By Jamie Martin

Artificial intelligence is becoming more common on farms, but many producers are still testing its value. A recent survey by MorganMyers showed that most farmers and ranchers have begun using AI tools, yet full trust in the technology is still developing.

According to the report, 75% of producers have used tools like ChatGPT or Gemini. Nearly half of these users access them weekly or more often. This showed strong interest in AI but also highlighted that the industry is still experimenting with how to use it effectively.

Adoption is not the same across all groups. Younger farmers, dairy operations, and larger farms are leading the shift toward AI use. On the other hand, older farmers, smaller operations and row crop producers are slower to adopt new technologies.

This gap suggested that factors like experience, scale, and daily workload influence how quickly AI is accepted.

The survey also revealed that farmers prefer general AI tools over agriculture-specific platforms. Simple and widely available tools are easier to use and fit better into existing workflows. Farmers are mainly using AI for practical business purposes such as planning, problem-solving, and improving efficiency.

"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," said Greg Ehm, senior vice president of agriculture at MorganMyers. 

He added, "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."

Even with growing use, trust remains a concern. Many producers believe AI offers value but are unsure about the accuracy of its recommendations. They continue to compare AI insights with their own experience before making decisions.

Retailers are even more cautious than farmers. They show lower adoption rates and are less confident in recommending AI tools to others. This highlighted the need for clear proof and a better understanding of technology.

Photo Credit: istock-dusanpetkovic


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