Artificial intelligence (AI) is rapidly moving from a technology buzzword to a practical business tool. For farmers and agribusiness owners, the question is no longer whether AI will influence agriculture, but how to use it effectively to improve decision-making, save time and strengthen financial planning.
During a recent webinar hosted by Farm Credit Mid-America, industry experts Brent Gloy and David Widmar of Agricultural Economic Insights joined Tiffany Smith, Chief Security Officer and Head of IT Operations at Farm Credit Mid-America, to discuss how AI can fit into the modern farm management toolkit.
Their message was clear: AI should not replace the farm manager. Instead, it should help farm managers make better decisions, work more efficiently and focus on the areas where human judgment matters most.
Looking for tools to strengthen your farm's financial position? Explore our Farm Finance section of our Knowledge Hub.
Watch the webinar recording below or check out our recap in the article following.
AI Is a Powerful Tool, Not a Replacement for Experience
Since the launch of ChatGPT in late 2022, AI adoption has accelerated across nearly every industry. Agriculture is no exception.
While AI can generate answers in seconds, speed does not guarantee accuracy. Farmers should think of AI as a knowledgeable assistant rather than an all-knowing expert.
As Gloy explained during the webinar, AI often provides answers with a high level of confidence, even when those answers are incorrect.
This illustrates one of the most important principles of using AI:
Use AI to assist decision-making, not to make decisions for you.
The stakes matter. Low-risk, easily reversible decisions can often benefit from AI-generated ideas and recommendations. High-stakes decisions involving large financial commitments, long-term strategy or significant operational risks require additional validation and human oversight.
A Framework for Using AI in Farm Financial Planning
One of the most actionable concepts shared during the webinar was a simple framework for evaluating where AI delivers the greatest value:
- Data
- Insights
- Implications
- Actions
This framework helps producers understand where AI can improve efficiency and where human expertise remains essential.
Step 1: Turning Farm Data Into Actionable Information
Modern farms generate significant amounts of data, including:
- Production records
- Financial statements
- Balance sheets
- Crop budgets
- Scale tickets
- Input invoices
- Yield data
- Equipment records
The challenge is rarely collecting information. The challenge is organizing and interpreting it.
AI tools can help farmers quickly process large volumes of farm and financial data by:
- Analyzing production records
- Organizing financial statements
- Reviewing multiple documents simultaneously
- Comparing invoices and receipts
- Reconciling scale tickets with settlement sheets
- Identifying missing or duplicate transactions
Rather than spending hours searching through paperwork, producers can use AI to highlight discrepancies and prioritize items that need attention. This allows more time for strategic planning and less time spent on administrative tasks.
Want to gain a clearer picture of your operation's financial health? Explore Farm Credit Mid-America's balance sheet resources and tools.
Step 2: Using AI to Generate Better Financial Insights
Once farm data is organized, the next step is understanding what the numbers mean.
AI can help identify:
- Financial trends
- Liquidity concerns
- Cost structures
- Profitability indicators
- Benchmark comparisons
- Key financial ratios
For example, farmers may ask AI:
- Which financial ratios should I monitor most closely?
- How does my operating expense ratio compare with industry benchmarks?
- What trends stand out in my balance sheet over the last five years?
- What factors are affecting profitability the most?
These questions move beyond data management into performance analysis and strategic financial planning.
However, context remains critical. Benchmark data from universities, industry reports or government sources may not reflect the realities of every farm operation. Factors such as geography, crop mix, debt structure, acreage and management goals all influence financial performance.
AI can identify patterns, but producers must determine whether those patterns apply to their specific business.
Looking for ways to strengthen your operation's financial performance? Browse our business planning and farm finance resources.
Step 3: Exploring Implications Through Scenario Planning
Once insights are identified, the next question becomes: What do these findings mean for my operation?
This is where AI can be especially valuable.
Farm financial planning often requires evaluating multiple possibilities before making important business decisions. AI can quickly model scenarios and help producers understand potential outcomes.
Examples include:
- What happens if interest rates increase?
- How would a 10% yield decrease affect cash flow?
- What are the financial implications of purchasing additional acreage?
- How would higher fertilizer costs impact profitability?
- What machinery replacement strategy best fits the operation?
AI can rapidly stress-test assumptions, identify key financial drivers and highlight risks that deserve additional analysis.
Rather than delivering a final answer, AI helps producers think through the potential implications of different choices before taking action.
These insights can lead to more productive conversations with lenders, accountants and business partners while supporting stronger long-term financial planning.
Considering a land purchase, equipment investment or operation expansion? Learn more about our farm loans and agricultural financing solutions.
Step 4: Turning Insights Into Action
The final step is action.
While AI can organize information, identify patterns and evaluate scenarios, farm managers remain responsible for making decisions and implementing strategies.
This is also where AI can help overcome what David Widmar referred to as the blank page barrier.
Whether creating:
- A grain marketing plan
- A farm succession plan
- A crop budget
- Employee training materials
AI can generate a useful first draft that saves time and provides structure.
Rather than starting from scratch, producers can use AI to develop an initial framework and then refine it using their own expertise and operational knowledge.
AI can also serve as a valuable reviewer by helping answer questions such as:
- What questions might a lender ask about this plan?
- Which assumptions require more explanation?
- Where are the potential weaknesses?
- What risks may have been overlooked?
This process can help strengthen plans before they are presented to lenders, business partners or family members.
AI may help farmers move from information to action more efficiently, but human judgment remains essential throughout the process.
Connect with a Farm Credit Mid-America team member to discuss your operation's goals and build a strategy tailored to your business.
How AI Can Improve Farm Financial Analysis
Once farm data is organized, the next step is understanding what the numbers mean.
AI can help identify:
- Financial trends
- Liquidity concerns
- Cost structures
- Profitability indicators
- Benchmark comparisons
- Key financial ratios
For example, farmers may ask AI:
- Which financial ratios should I monitor most closely?
- How does my operating expense ratio compare with industry benchmarks?
- What trends stand out in my balance sheet over the last five years?
- What factors are affecting profitability the most?
These questions move beyond data management into performance analysis and strategic financial planning.
However, context remains critical. Benchmark data from universities, industry reports or government sources may not reflect the realities of every farm operation. Factors such as geography, crop mix, debt structure, acreage and management goals all influence financial performance.
AI can identify patterns, but producers must determine whether those patterns apply to their specific business.
Understanding AI Bias and Common Decision-Making Risks
While AI offers significant advantages, producers should also understand its limitations.
Confirmation Bias
AI systems often reinforce assumptions embedded within user questions.
For example, asking:
"This herbicide program is too expensive. What cheaper alternatives should I use?"
may prompt AI to focus primarily on reducing costs while overlooking potential agronomic risks.
A more balanced approach would be:
"What are the strengths, weaknesses, costs and risks of this herbicide program?"
Better questions often lead to better answers.
AI Hallucinations
Another challenge is the possibility of AI "hallucinations," where the system generates information that sounds credible but is inaccurate.
Before acting on AI-generated recommendations, farmers should consult trusted sources, including:
- Agronomists
- Financial officers
- Accountants
- Extension services
- Lenders
- Industry experts
AI should serve as a starting point for investigation, not the final authority.
Using AI for Farm Financial Scenario Planning
One of the most valuable applications of AI in agriculture is scenario analysis.
Farm financial planning often requires evaluating multiple possibilities before making important decisions.
Examples include:
- What happens if interest rates increase?
- How would a 10% yield decrease affect cash flow?
- What are the financial implications of purchasing additional acreage?
- How would higher fertilizer costs impact profitability?
- What machinery replacement strategy best fits the operation?
AI can quickly evaluate assumptions, highlight risks and identify variables that deserve further analysis.
These insights can lead to more productive conversations with lenders, accountants and business partners while supporting stronger long-term financial planning.
AI Data Security Best Practices for Farmers
As AI adoption grows across agriculture, data privacy and cybersecurity concerns become increasingly important.
According to Tiffany Smith, farmers should carefully evaluate how and where they share sensitive information.
Avoid Uploading Sensitive Documents to Public AI Tools
Producers should avoid uploading:
- Tax returns
- Loan documents
- Financial statements containing sensitive information
- Personal identification information
to public AI platforms without understanding how the data is stored, shared or used.
Understand Data Ownership and Privacy Policies
Before using an AI platform, ask:
- Who owns the data after it is uploaded?
- Is the data used to train future AI models?
- Can other users access the information?
- What security protections are in place?
Understanding these policies is essential for safeguarding farm business information.
Choose Trusted AI Platforms
Enterprise-grade AI solutions often provide stronger security controls, governance policies and compliance protections than free consumer tools.
Many farm accounting and farm management software platforms now integrate AI capabilities directly into their systems, allowing producers to gain insights while maintaining greater control over sensitive data.
As Smith summarized:
Convenience is good. Data control is better.
The Bottom Line: AI Can Strengthen Farm Financial Planning
AI has the potential to become one of the most valuable management tools available to today's farmers. From organizing financial records and identifying business trends to evaluating scenarios and improving strategic planning, AI can help producers make more informed decisions and operate more efficiently.
The greatest benefit comes not from handing decision-making over to technology, but from using AI to enhance human expertise.
As Tiffany Smith noted during the webinar: "Use AI to sharpen your decisions, not to outsource them."
For farmers who approach AI thoughtfully, that mindset can help unlock stronger financial performance, greater operational efficiency and more confident decision-making for years to come.
Ready to Build a Stronger Financial Future for Your Farm?
Whether you're exploring AI-powered farm management tools, evaluating expansion opportunities or strengthening your financial strategy, Farm Credit Mid-America can help. Connect with a local team member to discuss financing solutions, business planning resources and strategies tailored to your operation.
