For years, enterprises tolerated opaque automation because outcomes were predictable. Early systems followed fixed rules, handled narrow tasks, and operated within clearly defined boundaries. If something went wrong, teams could usually trace the issue back to a configuration error or missing input. That tolerance is disappearing. The reason is simple. When AI systems begin to reason, generate responses, and act independently, organizations can no longer accept models whose logic remains hidden. Enterprise leaders remain accountable for uptime, security, compliance, and customer experience.

Full report : Black box AI has become useless in agentic AI era.