Future industries represent the directions of future technology and industrial development, and serve as a fundamental carrier for cultivating new-form productive forces. Artificial intelligence (AI) drives paradigm shifts in scientific research, facilitates efficiency improvement and transformations in production methods, and reshapes industrial development patterns. Based on the theory of new-form productive forces and the tech-economic paradigm framework, this study constructs an element-scenario-rule triadic framework to clarify AI's role in empowering future industries. Specifically, it clarifies the threefold logic of AI-driven scientific and technological innovation (AI for science), AI-enabled productivity transformation (AI for productivity), and AI-facilitated industrial upgrading (AI for industries). Furthermore, this study examines the key challenges in AI development, including industrial order and employment structure shifts, data privacy and ethical security concerns, energy consumption and computing cost issues, as well as the gap between technology and application. In response, the strategic priorities and implementation pathways for empowering future industrial development through AI are defined. The research proposes recommendations to comprehensively advance the "AI+" initiative, aiming to seize the strategic high ground in sci-tech innovation, cultivate new-form productive forces, and build a future-oriented industrial ecosystem. This entails strengthening four core mechanisms: AI technology innovation, scenario-driven application, factor support infrastructure, and industrial governance framework, thereby advancing the synergistic, orderly, and high-quality integration of AI with future industries.