AI integration into agribusiness software continues to ramp up. Whether it is EverAg and Everett, or AgVend and Goose, or the likes of CamoAg and their commercial infrastructure, we are seeing AI tools infiltrate every major ag software provider. I think it’s a good thing.
I think it raises an interesting question though: How are software companies for agribusiness going to differentiate moving forward?
In the June 7th 2026 edition of Upstream I highlighted the following question surrounding retail differentiation. The same question can be asked by software companies too:
But, as we enter the era of AI agents, the strategic question for a retailer (or manufacturers, or distributors) becomes how do you build advantage when your competitor has access to the same intelligence systems you do?
There is going to be plenty of MCP connections, API integration, and scraping of public data, but the answer, after accounting for data quality, workflow (and creating sub-systems) and cultural aspects, is the data your competitor does not have, or cannot get.
As alluded to, enabling better and more unique information capture becomes one avenue. Having a structured, standardized database (and one that continually captures data and context) is crucial for any AI and agentic capability.
The next consideration is UX/UI, which I think will be something we will see different ag software companies take varying avenues to differentiate on.
UX/UI has always been a competitive advantage in software, but now with agentic capabilities and chat interfaces it can take different routes:
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