Evidence item

California Management Review proposes a principal-worker model in which knowledge workers delegate subtasks to AI agents and synthesize their outputs. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 10398

Source: Principal Workers: Orchestrating AI Agents Improves Productivity · locator {} · excerpt hash sha256:e4be05818082dd7d0ff10545d2cd3d8f957b03f5989185f7ee5170fb3ef44f3f

Exact excerpt

For the artificial intelligence (AI) economy, we propose a principal worker model where each knowledge worker is both a task architect and an AI agent orchestrator. As task architect, the worker divides each task into subtasks and delegates some to AI agents. As agent orchestrator, the worker optimizes outputs from AI agents and synthesizes all outputs into a coherent deliverable. Workers who augment themselves with AI agents produce more and earn more.

Linked claims

Claim	Direction	Relevance	Steps	Counted
32ee237c	SUPPORT	MODERATE	1	yes

Audits

None.