The $3 Trillion Productivity Prize: Moving from Task Automation to Agentic Orchestration

KPMG Global Head Stephen Chase outlines the "agent control system" and human-plus-agent model needed to capture a 5% profitability gain through AI.

By: AXL Media

Published: Mar 7, 2026, 6:11 AM EST

Source: World Economic Forum

The $3 Trillion Productivity Prize: Moving from Task Automation to Agentic Orchestration - article image
The $3 Trillion Productivity Prize: Moving from Task Automation to Agentic Orchestration - article image

The Long-Term Potential of Persona-Centric Super Agents

The current business landscape is witnessing the emergence of "super agents" capable of coordinating intelligence across multiple systems. Unlike the first wave of AI, which focused on discrete tasks, agentic AI creates new streams of value by acting as a collaborative teammate. According to the 2026 KPMG Global CEO Outlook, 57% of CEOs now expect these agents to significantly impact their organizations. These systems are moving beyond prototypes into mission-critical operations, enabling cross-industry ecosystems that were previously too complex to manage.

The Agent Control System: A Three-Dimensional Trust Framework

Scaling AI agents safely requires a dedicated governance layer known as an "agent control system." This framework is designed to address emerging vulnerabilities like agent sprawl and data-protection risks. Building trust at scale requires attention to three specific dimensions:

Operational Trust: Real-time controls, centralized registries, and human-in-the-loop oversight to monitor collaborating agents.

Technical Trust: Strong data foundations and agent-specific identity management to prevent unauthorized access.

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