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.