The synergistic effect of artificial intelligence, combined with the dual integration of “industry-education” and “science-education” has the potential to enhance both the quality of talent cultivation and social service capabilities in application-oriented undergraduate institutions. Taking the “AI + Intelligent Manufacturing” talent training project, a collaborative endeavor between X application-oriented undergraduate institutions and a prominent artificial intelligence enterprise, as a case in point, it is evident that the prevailing challenges in talent cultivation at application-oriented undergraduate institutions encompass several critical dimensions: a conspicuous absence of long-term mechanisms for the effective dual integration of industry-education and science-education; disparities in resource allocation and coverage; insufficient depth regarding the degree of dual integration; deficiencies in collaborative education frameworks; and an inadequate emphasis on students primary role. Artificial intelligence not only provides technological avenues for education but also infuses fresh impetus into the integration of industry-education with science-education. Consequently, from five pivotal dimensions—formulating comprehensive long-term strategies to establish enduring support mechanisms; broadening judicious resource allocation while accentuating innovation across diverse fields; enhancing the synergistic integration of industry-education and science-education to forge models for profound collaboration; refining collaborative educational mechanisms to promote multi-faceted partnerships; and fortifying the centrality of students roles to stimulate their intrinsic motivation—pragmatic pathways empowered by artificial intelligence-driven dual integration for cultivating talent within application-oriented undergraduate institutions has been proposed.