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Governing Organizational AI Capability Across Three Horizons
Tracking AI usage won’t create a lasting advantage, but governing organizational capability will.
Key Points
- Boards should expand AI oversight to ensure management builds human and organizational capabilities that consistently translate AI investment into business value.
- Effective AI governance spans three investment horizons: elevating performance, redesigning work, and sustaining the human capabilities technology cannot replicate.
- As AI grows more accessible, sustainable advantage depends on human judgment and organizational agility, not technology alone.
This AI-generated summary, based on content on this page, was reviewed by NACD editors for accuracy.
Generative and agentic artificial intelligence are fundamentally changing how work is performed, how decisions are made, and how organizations create value. In response, boards have made AI strategy, governance, and risk routine board agenda items.
Yet, boards continue to struggle with the sheer pace of AI-driven change. As AI capabilities continue to evolve and diffuse across industries, today's gains quickly become tomorrow's baseline.
AI investments create enduring value only when accompanied by investments in organizational capability. This encompasses the management systems, operating models, talent, and culture that enable organizations to consistently ...
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Tony Zolla, NACD.DC®, is a technology and transformation executive who has led digital, product, and enterprise reinvention across public and private companies ranging from middle-market to multibillion-dollar enterprises.
