From Insight To Impact: Why Trust Defines Leadership In The Agentic AI Era
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InnovationFrom Insight To Impact: Why Trust Defines Leadership In The Agentic AI EraByMike Gianoni,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 18, 2026, 07:15am EDTMike Gianoni is President, CEO and Vice Chairman of the Board of Directors at Blackbaud. gettyEvery wave of digital transformation shifts where competitive advantage lives. The one we’re living in now will be no different.The AI era isn’t just changing how software is built; it’s redefining which companies will lead. For years, leadership in enterprise technology was earned through visibility. Systems of record helped organizations capture, organize and understand their most critical data, replacing manual processes with clarity and confidence. That visibility became the foundation for scale.Over time, those systems evolved. Analytics, benchmarks and machine learning layered insight on top of record‑keeping, enabling more informed decisions and more personalized engagement. Software moved from helping organizations see what was happening to helping them understand why it was happening.Now, we are entering the next chapter—one where systems don’t just provide insight, but act on it.When Software Moves From Describing Work To Driving ItAs AI capabilities mature, the role of technology must evolve again. Insight alone is no longer the endpoint. Increasingly, value comes from systems that can interpret what’s happening, recommend what to do next and, when invited, execute.This shift marks the transition from software that informs work to software that propels it forward.In the past, horizontal platforms won by delivering coherence across organizations, and vertical solutions won by embedding deep domain expertise. The next era belongs to companies that can do both: connecting systems end‑to‑end while applying distinctive, purpose‑built context that...
