what is the major productivity drivers in AI?

The major drivers of productivity in AI, based on available sources, primarily revolve around the increasing adoption of AI technologies across industries, which enables task-level efficiencies such as faster document generation and higher volumes of customer inquiries handled [1][5][8][11][12]. AI's unique capacities for autonomy, self-improvement, and innovation acceleration are highlighted as potential catalysts to revive sluggish productivity growth and reduce production costs [7][9]. However, despite significant investments, these drivers have not yet translated into broad firm-wide or economy-level gains, often offset by system complexity, failed pilots, and elusive aggregate impacts [2][5][6][8][10].