Data privacy and security concerns are the main hurdles to generative AI's mainstream adoption, with 39% of enterprise AI decision-makers identifying these as top issues, according to Forrester's July 2023 survey. Additional barriers include employee readiness, data infrastructure, and integration complexities, which collectively hinder the seamless implementation of generative AI in enterprises.

Enterprise leaders are updating policies and governance to tackle these challenges. By reminding employees of existing data policies and reengaging them with updated training, companies can secure their generative AI use. Proactively addressing these concerns and preparing to reassure customers about data usage can provide a competitive edge in the evolving AI landscape.