Data governance and privacy safeguards limited AI integration more than speed or capability.

Legacy views of AI as experimental lost influence.

AI gained legitimacy as a trusted part of regulated workflows.

Confidence grew in AI’s readiness for broad, practical use beyond pilot projects.