The Strongest Teams of AI Agents Will be Built Using Different Models

Agentic AI is so prevalent that some business leaders now count AI agents as part of their regular workforce. Yet, without attention to the diversity of this burgeoning agentic workforce, business leaders are likely to find that many of the promised benefits of agentic AI—increased productivity, innovation, creativity—fail to fully materialize. In fact, an emerging body of research now points to significant performance improvements from diversity in agentic systems. One study, for instance, showed that agent teams selected with diversity in mind were 25% better at resolving software engineering problems than agents acting individually, mainly due to the blending of different skills and knowledge sets. Another study showed that just two diverse agents can “match or exceed the performance of 16 homogeneous agents.” The message is clear: like diversity in human workforces, agentic diversity pays significant performance dividends. Here are seven imperatives for creating diverse agentic teams.

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