This article examines how AI relates to ongoing digital transformation efforts and whether organizations need to rethink their transformation strategies.

• AI adoption tests whether companies can respond quickly to disruptive change
• Generative AI requires solving pre-existing data integration and organizational silo problems
• Data quality, privacy controls, and legacy system constraints remain critical barriers
• Transformation's focus on agility and innovation directly enables AI success
• AI represents a new programming model requiring different skills and approaches
• Data management becomes as critical as code management in AI-driven organizations
• Organizations should refactor data strategies alongside code when moving to cloud
• Data governance requires different controls than traditional code governance

Digital transformation remains essential for AI success. Rather than changing transformation plans, organizations should recognize that AI amplifies the need for agility, data accessibility, and innovation culture already central to transformation.