AI, Strategy & Decision Leadership
Research across leading global consulting firms shows a consistent pattern: AI alone is not the differentiator — it’s how organizations adapt around it. Drawing on our experience working alongside these firms on enterprise-scale transformation, we translate findings into what truly matters for leadership. Below are the key insights from recent studies and the practical implications for leadership.
The Human / AI Readiness Gap
Recent research highlights strong executive optimism about AI alongside a material gap in workforce readiness and change capacity.
Source: Accenture – Pulse of Change, 2026
Our Take:
- AI programs must be anchored in role clarity and process redesign, not tools alone
- Workforce confidence is a leading indicator of ROI
- Governance and adoption matter more than model sophistication
AI ROI Requires Strategic Foundations
CEO surveys continue to show uneven financial returns from AI, with many organizations still struggling to translate pilots into enterprise value.
Source: PwC – Global CEO Survey, 2026
Our Take:
- Value emerges when AI is tied to specific decision workflows
- Data, controls, and accountability must precede automation
- Early wins should target high-volume, non-differentiating processes
The Enduring Human Advantage
Thought leadership increasingly emphasizes that judgement, creativity, and ethics remain the core differentiators in the AI era.
Source: McKinsey – The Human Advantage in the Age of AI, 2025
Our Take:
- AI amplifies human decisions — it does not replace ownership
- Competitive advantage lives in context, relationships, and judgement
- Capability building must sit beside technology investment
Sustained advantage comes from turning insight into focused execution