Post by AIM Research
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AI adoption across GCCs is clearly moving from experimentation to execution. Our latest AIM Research survey of šš¬š¬+ ššš š¹š²š®š±š²šæš shows that more than half of GCCs have already integrated AI into operational workflows. But the bigger story is not just adoption. It is the gap between ambition and readiness. šš²š šš¶š“š»š®š¹š š³šæš¼šŗ ššµš² šššæšš²š: š±š²% of GCCs have AI in production šÆš¬% have a strong AI data foundation š²š% formally measure AI value š²šµ% have formal or advanced AI skilling initiatives š²š²% have leadership representation at the global table or executive level š§šµš² šŗš¼šš š¶šŗš½š¼šæšš®š»š šš®šøš²š®šš®š: GCCs are no longer just delivery engines. They are increasingly becoming strategic capability hubs, owning products, platforms, AI initiatives, and transformation priorities. However, the data also highlights a clear challenge. While AI adoption is accelerating, data readiness, governance, measurement discipline, and decision rights still need to catch up. šš¼šæ ššš š¹š²š®š±š²šæš, ššµš² š»š²š š š½šµš®šš² š¼š³ šš šŗš®šššæš¶šš šš¶š¹š¹ š±š²š½š²š»š± š¼š» ššµšæš²š² š½šæš¶š¼šæš¶šš¶š²š: 1.Building AI-ready data foundations 2.Moving from isolated AI wins to scaled enterprise impact 3.Strengthening governance, talent, and strategic autonomy The GCCs that solve these gaps will be better positioned to move from AI-enabled operations to AI-native value creation. #GCC #AI #ArtificialIntelligence #AIMResearch #GlobalCapabilityCenters #DigitalTransformation #Leadership #AIAdoption #DataReadiness