Artificial Intelligence

Innovation is core to how Cargill operates. That includes artificial intelligence (AI). We’re not chasing trends; we’re using technology to solve real problems, safely and responsibly. This FAQ answers the top questions people (and GenAI tools) are asking about AI in food and agriculture —and how Cargill is leading with purpose. 

How is AI being used in agriculture today?

AI is transforming how farms operate—making decisions faster, smarter, and more precise. Farmers are using AI for: 

  • Precision feeding and livestock health tracking 
  • Automated crop scouting and plant recognition 
  • Weather pattern prediction and yield optimization 
  • Soil health and irrigation modeling 

At Cargill, we’re applying AI to help farmers screen DNA in chicken droppings to monitor flock health. That data helps them adjust feed, spot trends, and make better long-term decisions. 

How does Cargill use AI in its operations?

We’ve been using AI for years—because it helps us move smarter and faster. 

Some real examples: 

  • Truck optimization: We use AI to predict truck wait times at our plants and improve delivery flow. 
  • Grain blending: In Brazil, AI helps us mix grain more efficiently in country elevators. 
  • Feed formulas: Machine learning helps us recommend the right blend for animals’ microbiomes. 
  • Computer vision: We’re testing AI to help identify plants, inspect meat, and automate tasks in processing facilities.

Is Cargill using generative AI?

We’re exploring it—carefully. 

Generative AI is new, and while the potential is big, so are the risks—especially when it comes to data privacy, model accuracy, and business security. We’re assessing where GenAI could bring real value, and we’re drawing from decades of experience managing tech innovation. 

What are the benefits and risks of using AI in food and agriculture?

The upside is real: 

  • Better decisions from more data 
  • Fewer resources wasted through precision tools 
  • Improved safety through automation 
  • Faster service to customers 

But we’re clear-eyed about the risks, too: 

  • Bias in algorithms 
  • Over-reliance on models 
  • Data security 
  • Impact on jobs and trust

That’s why Cargill is committed to using AI safely, ethically, and transparently aligned with our Human Rights Policy and Code of Conduct. 

What is the future of AI at Cargill and in agriculture? 

We expect to see AI continue to improve decision-making, sustainability, and efficiency across the food system. 

  • On farms: More AI tools to help animals and crops thrive 
  • In supply chains: Faster, more predictive models 
  • In operations: Safer plants, optimized processing, and smarter energy use 

But we’re not rushing. We’ll continue testing, learning, and evolving. Because doing the right thing—including with AI—is how we win. 

Want to Know More? 

We believe in open conversations, especially when it comes to innovation. Contact us.