According to recent research by IBM and Oracle, 78% of C-suite executives recognize that achieving maximum benefit from agentic AI requires a new operating model. Yet more than three-quarters also admit their AI investment focuses on improving existing processes rather than developing net-new capabilities [29]. In short, most leaders know they need or aspire to achieve business reinvention, but they’re largely funding AI iteration and optimization.
That’s exactly why AI initially didn’t deliver the ROI that so many predicted. The pervasive trend in the years following the onset of generative AI, AI agents, and agentic AI was to launch siloed pilots making incremental updates, extending the familiar to create a new era of “AI business as usual.”
If there’s one truth business history teaches us, it’s this: every disruptive technology eventually forces companies to choose between preserving the past and inventing the future. The steam engine, electricity, the internet, mobile and social media … all of them offered leaders a choice: cling to old models or design entirely new ones. And each time, those who chose preservation ...
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