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Artificial intelligence is no longer a horizon technology. It is a present-tense business reality — one that commands trillions of dollars in global investment, blankets boardroom agendas, and has produced measurable efficiency gains across virtually every major industry sector. Yet beneath the headline optimism lies a crisis that the research community is increasingly naming with clarity: the majority of organizations are failing to capture AI’s value. Not because AI does not work. But because the organizational infrastructure required to govern, integrate, and operationalize AI at scale does not yet exist in most enterprises.
This Global Intelligence Brief synthesizes findings from more than a dozen authoritative research bodies — including PwC, Deloitte, IBM, the Massachusetts Institute of Technology, ISACA, the Organization for Economic Co-operation and Development, the U.S. Federal Reserve, the U.S. Small Business Administration, and JP Morgan Chase — to map the full landscape of AI adoption failure across organizations of every size and sector. Version 2.0 expands each cluster with a full Problem–Analyze–Solution (PAS) treatment, providing both the diagnostic picture and the prescriptive principles that effective organizational response requires.
Artificial intelligence is no longer a horizon technology. It is a present-tense business reality — one that commands trillions of dollars in global investment, blankets boardroom agendas, and has produced measurable efficiency gains across virtually every major industry sector. Yet beneath the headline optimism lies a crisis that the research community is increasingly naming with clarity: the majority of organizations are failing to capture AI’s value. Not because AI does not work. But because the organizational infrastructure required to govern, integrate, and operationalize AI at scale does not yet exist in most enterprises.
This Global Intelligence Brief synthesizes findings from more than a dozen authoritative research bodies — including PwC, Deloitte, IBM, the Massachusetts Institute of Technology, ISACA, the Organization for Economic Co-operation and Development, the U.S. Federal Reserve, the U.S. Small Business Administration, and JP Morgan Chase — to map the full landscape of AI adoption failure across organizations of every size and sector. Version 2.0 expands each cluster with a full Problem–Analyze–Solution (PAS) treatment, providing both the diagnostic picture and the prescriptive principles that effective organizational response requires.