Deutsche Bank says falling AI costs drive broader adoption, intensify competition
DB•Productivity gains may take time, report says
The report warned that productivity gains will depend on process redesign, infrastructure buildout, and practical applications, likely delaying the full economic impact.
It also highlighted Jevons Paradox risk; cheaper AI could lift overall usage, raising demand for computing infrastructure and AI-enabled services.
Deutsche Bank flags falling AI costs as adoption driver
Deutsche Bank analysis flagged falling AI costs as a key driver of broader enterprise adoption across research, software development, and operational workflows.
Open-source, open-weight models were seen intensifying competition, pushing firms toward mixed model stacks to balance performance, flexibility, and cost.
