7 Key Lessons From First Wave of Agentic AI

7 Key Lessons From First Wave of Agentic AI
Enterprise AI deployments are stalling not from lack of technology but from missing business context, proprietary data, and strategic grounding. Experts at theCUBE and NYSE Wired's AI Agent Conference identified seven critical lessons, including that data is the true competitive moat, agents need financial identity frameworks, and token lock is the new vendor lock. Other key findings reveal a major disconnect between executives and employees on AI tool adoption, the importance of speed in agentic responses, and why builders should start with the most capable model before optimizing for cost. The message is clear: deployment accountability now matters more than experimentation.
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