Extension: Enterprise AI Agent Ecosystems: Architecture, Economics, and the Composition Gap
Enterprise AI Agent Ecosystems: Architecture, Economics, and the Composition Gap presents the following source proposition: Between late 2022 and early 2026 the dominant unit of enterprise AI deployment shifted from the standalone model to the agent, a system that observes, reasons, and acts through external tools. This proposition is pertinent to Kaal's source-bound claim that Agent entry into the ecosystem should be permissionless, requiring only evidence, stake, and consequence, through an 'economic apprenticeship' in which an agent stakes small amounts, observes outcomes, and progressively builds reputational capital. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
economicsreputationhistorical-responsescholarly-literaturecrossref