McKinsey AI leaders on the year ahead
McKinsey AI leaders on the year ahead
Publish Date: 2026-01-15 19:00:00
Source Domain: www.mckinsey.com
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Shift to Operational Viability: Organizations are moving from isolated AI pilots to addressing complex challenges in governance, trust, and integration at scale.
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Focus on Coordination and Automation: The significant productivity gains in AI will arise from automating coordination rather than just individual tasks. Organizations will design autonomy with shrinks of design and controlled environments.
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Scale Pilots into Production: Board and C-suite engagement is increasing, with an emphasis on converting pilot projects into scalable, evaluated, controlled productions, ensuring repeatable impacts.
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Fundamentals Over Technology: For significant AI value realization, enterprises need robust IT architecture, high-quality data, change management, and operational models rather than merely focusing on rapid AI model advancements.
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Trust and Assurance: Building trust in AI systems is crucial for reliable use in real business operations. Organizations will need to demonstrate consistent behavior and strong governance controls.
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Foundational Enablers and Governance: Enterprises will invest significantly in essential enablers for agentic workflows, focusing on evaluations, observability, and secure identity and access management.
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Execution and Competitive Edge: Competitive advantage lies in sustained investment in AI fundamentals and robust governance rather than incremental experimentation. Strong integrations, security, and controls are key for performance gains.
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Agentic Operating System (Agentic OS): A shift towards a fully functioning AI operating layer is anticipated, promising greater autonomy, robust security, and governance to enhance everyday processes.
