AI and your farm finances: Is your data safe?

AI is changing the way we work, making it easier to save time, analyse information and simplify everyday tasks.

Uploading financial reports to ChatGPT, Claude, or Google Gemini and asking AI to identify ways to reduce costs, improve cashflow or increase profitability means that within seconds, you could have insights and recommendations. Sounds useful, right?

AI can be a valuable tool for farm financial management, but it comes with two risks you need to understand first: what happens to the financial information you upload, and can you trust the results?

Here's what you should consider before sharing your farm's financial information with AI.

1. Privacy goes beyond model training

Paying for an AI subscription does not automatically make your information private. Each plan can have different terms, settings and protections, so it’s important to understand what your subscription includes.

For example, ChatGPT Business and Enterprise exclude business data from model training by default. Personal plans, including Free, offer some settings to opt out of training, but this does not provide the same protections as a business account.

Whether your information is used for training is only one consideration. Where it is stored, who can access it and how it is shared also matter, along with retention periods and deletion arrangements.

Your documents may also contain other people’s information. Payroll reports, invoices and partnership records can include employee wages, supplier details and family members’ financial information.

The Office of the Australian Information Commissioner recommends that organisations avoid entering personal information into publicly available generative AI tools because of the privacy risks involved.

2. Your financial data can reveal more than you realise

A farm budget tells a detailed story about your business.

Financial reports, crop yields, grain storage details and sales contracts can reveal:

• Your cash position and borrowing commitments
• Expected production and income
• Operating costs and payment arrangements
• Future purchases and business plans

Uploading these records to an AI service means sharing their contents with an external provider.

Some providers may use conversations and files to train or improve their models. This depends on the product, account settings and terms. A paid subscription does not automatically guarantee privacy.

For example, ChatGPT offers controls over whether conversations contribute to model training, with options depending on your account and workspace.

Retaining ownership of your data does not necessarily prevent the provider from using it.

3. A confident answer can still be wrong

AI makes mistakes, and they are not always obvious.

Generative AI can present false or misleading information as fact. A polished explanation can make those errors harder to spot.

In a farm budget, this might mean:

• Confusing monthly expenses with annual totals
• Treating forecast income as money already received
• Misreading spreadsheet categories or overlooking missing figures

An answer may look reasonable while giving an inaccurate picture of your finances. Checking it against the original records remains essential.

4. Keep business decisions in your hands

Farm finances depend on context.

AI can help compare scenarios and raise questions, but it may miss or misinterpret important context about your farm. Your knowledge remains essential to understanding its assumptions and the consequences of acting on its answers.

Keeping control means understanding why a recommendation makes sense for your business.

That understanding helps you and your advisers assess where an answer is useful and where further investigation is needed.

5. Saving time can shift the work elsewhere

AI can reduce the time spent on a task, but some complexity may shift elsewhere. Some of that time may then be needed to check calculations, review assumptions and assess how information was handled.

There are also opportunities to use AI while sharing less. A fictional cashflow scenario or a general budgeting question may provide useful insight without requiring your actual financial records.

The value comes from choosing suitable tasks, understanding what you share and keeping enough visibility to assess the result.

Financial confidence still depends on knowing your business and the reasoning behind your decisions.

Before you share your farm’s financial data with AI

Before uploading a budget, financial report or other business document, make sure you can answer these six questions:

• Is my data retained, and for how long?
• Could it be used to train or improve AI models?
• Where will it be stored and processed?
• Who can access it, and could it be shared?
• Can I delete it, and what does deletion actually remove?
• Do I have permission to share all the information it contains, including other people’s details?

The Office of the Australian Information Commissioner recommends that organisations avoid entering personal information into publicly available generative AI tools because of the privacy risks involved.

If you can’t answer these questions, pause before uploading. Even when you can, consider whether the task needs your actual financial records or whether a fictional example would be enough.

AI can support your work, but understanding what you share and questioning the answers remain essential to keeping control of your farm’s finances.