0:55

In this brief segment, the speaker emphasizes that building AI agents is fundamentally different from building conventional software applications. Traditional apps can be built, deployed, and left largely unattended until the next release, whereas AI agents are self‑learning, potentially self‑healing systems that require continuous oversight. The speaker introduces the concept of "AI red teaming"—ongoing testing and intervention to keep the model safe, responsible, and profitable. While AI agents can deliver significant cost savings, leaders must allocate resources for perpetual monitoring and governance to ensure the system remains trustworthy and financially viable throughout its deployment.

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