How should organisations design AI literacy programmes across different levels of seniority?

Organizations should design AI literacy programs that go beyond traditional digital literacy to foster "AI Nativity," the fluid integration of AI into reasoning and problem-solving, particularly for white-collar roles affected by generative AI [4][5]. Programs must account for variations in adoption based on role level and years of experience, tailoring content to motivational job characteristics and addressing AI threat perceptions to encourage deeper use [1]. For reskilling, emphasize combining domain expertise with algorithmic literacy, especially for IT specialists and productivity-focused roles, while HR provides guidance to support smooth transitions and prevent employee opt-out [2][9][12]. Across seniority levels, entry-level programs should focus on basic AI integration in routine tasks and career exploration [8][11], while senior levels require advanced frameworks treating AI as a cognitive partner for complex decision-making, though granular data on juniors versus seniors remains limited [3][6][7]. Sources lack detailed prescriptive designs for all levels, highlighting a need for more targeted research.