AI includes different things. One is called Machine Learning (or ML) and is used within machinery or a device to recognise things, for example, weeds in a crop or the sounds beneficial insects make or the lame dairy cows in a herd. Generative AI is on your phone or desktop. It can be thought of (though it couldn't be any more different) as being able to research, think and create (i.e. generate) a lot like we do.
So it can be used for a veterinary opinion before calling a vet, helping make crop protection product recommendations like an agronomist, or reading years' worth of profit and loss accounts and farm enterprise accounts to give advice just as a farm management consultant would do.

Three areas are better farm management, agronomy and livestock advice, and increasing business efficiency to raise farm profits.

The AI titans (e.g. OpenAI, Google, X, Deepseek and Anthropic to name five) are engaged in a ferocious battle for supremacy. Their strategies require they each compete to have the most users by being as valuable as possible to as many users as possible in as many different ways as possible ... and this includes farming and agriculture.