"CNH has scored some wins that Schroeder has been able to track. The company is leaning on AI to assist software engineers who are focused on precision agricultural technology and the FieldOps farm management systems, where AI, machine learning, and sensors are applied to digitally enhance farming. Early data has shown that these engineers are reducing the time needed for documentation by 60%, giving them more time to write new code."
"What has held Schroeder back, he says, are lingering concerns about the return on investment of AI. He cites an MIT study published over the summer that found that 95% of AI pilots fail. "It's great that we've got people engaged in AI," says Schroeder, who quickly pivots to ask rhetorically, "How do we measure success? What are the things that we can measure to say, 'This has been a worthwhile investment for CNH?'""
Jay Schroeder, chief technology officer of CNH, has emphasized governance and vendor tool certification while internal R&D AI adoption remains nascent. Lingering concerns about return on investment and an MIT finding that 95% of AI pilots fail have constrained broader deployment in research. AI has been applied across the business for software development, contract drafting, R&D database queries, and content management. Measured gains include a 60% reduction in documentation time for engineers working on precision-agriculture software and FieldOps systems, and AI-enabled spraying systems that can cut herbicide use by 80% by distinguishing weeds from crops. Other applications show less clear or nebulous gains.
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