""There was this emerging bragging right around the number of agents I had or I have in production," he said. "I think that's probably the wrong measure." The value of AI deployment is better measured by the quality - not the quantity - of agents, he said. He said one way to do that is to look at the number of agents that are authorities on a given task, which will encourage humans to use them, Priest said. The other is to evaluate the number of humans using those agents to execute tasks to achieve a prioritized outcome for a company."
"The AI race can sometimes feel like a numbers game. Earlier this month, Bob Sternfels, the CEO of McKinsey & Company, made a surprising announcement. The firm, he said, had a workforce of over 60,000 people - 40,000 human employees and 25,000 AI agents. For Sternfels, it was an example of McKinsey's all-in approach to AI. Others in the industry, however, say the eye-popping number actually says little about the company's successful adoption of artificial intelligence."
The AI race often appears as a numbers competition, with some firms touting large counts of AI agents alongside human staff. Counting agents alone does not indicate successful AI adoption; value depends on agent quality and actual human usage. Effective measurement includes the number of agents that are authoritative on specific tasks and the number of people using those agents to accomplish prioritized business outcomes, such as improving customer experience or transforming call centers. Agents can unlock significant value, but humans remain accountable and should drive adoption through effective, task-focused use of AI.
Read at Business Insider
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