The increasing use of generative artificial intelligence (AI) tools is driving a profound transformation in plant genetic engineering. On the one hand, AI could enhance the precision and efficiency of CRISPR gene editing. On the other hand, AI-driven genetic engineering is susceptible to well-known limitations of AI, such as the black box effect, hallucinations and data errors, raising significant concerns about the safety of engineered plants.