A new study co-authored by Virginia Tech and University of Vermont researchers offers one of the first, large-scale empirical looks at how Certified Crop Advisors (CCAs) across North America evaluate the next generation of artificial intelligence–enabled decision support systems (AI‑DSS) for agriculture. Published in Technological Forecasting and Social Change, the study identifies the specific design features that most influence whether trusted agricultural advisors will choose AI tools—and what might hold them back.