In the agentic era, clarity beats cleverness
Executive Take
Winning with agentic AI now depends on who owns each decision, not which model you buy. Leaders who can't name an accountable owner for an agent's actions will see costs balloon and pilots die before scaling.
Executive Summary
A Vodafone Idea AI strategy executive, formerly P&G's CIO/CDO for Asia, Middle East and Africa, argues agentic AI failures are organizational, not technical. He cites McKinsey (88% adoption, only 39% show EBIT impact), MIT NANDA (95% of pilots show no P&L effect), and Gartner (40% of agentic projects canceled by 2027) to show that unclear accountability, not weak models, causes failures.
Why It Matters
Technology and AI leaders should note that model quality is no longer the bottleneck, organizational clarity is. HR and leadership teams need to define who owns outcomes before agents go live, or costly pilots will keep failing.
Bizquad Perspective
Most leaders are chasing model upgrades while the real gap is that only 14% of companies can prove their AI is trustworthy to regulators, a problem the EU AI Act will soon force into the open.