Evolving the Productivity Equation: Should Digital Labor Be Considered a New Factor of Production?

TL;DR

This paper argues for recognizing digital labor, driven by AI, as a new factor of production, highlighting its unique properties and implications for economic growth measurement and organizational strategy.

Contribution

It introduces the concept of digital labor as a distinct economic factor and integrates it into growth models to better capture AI's impact on productivity.

Findings

Digital labor has unique properties like scalability and self-improvement.

Incorporating digital labor into models alters growth and productivity analysis.

Strategic implications include new approaches to resource allocation and organizational design.

Abstract

As the digital economy grows increasingly intangible, traditional productivity measures struggle to capture the true economic impact of artificial intelligence (AI). AI systems capable of cognitive work significantly enhance productivity, yet their contributions remain obscured within the residual category of Total Factor Productivity (TFP). This paper explores whether it is time for a conceptual shift to explicitly recognize "digital labor," the autonomous cognitive capability of AI, as a distinct factor of production alongside capital and human labor. We outline the unique economic properties of digital labor, including scalability, intangibility, self-improvement, rapid obsolescence, and elastic substitutability. By integrating digital labor into growth models (such as those by Solow and Romer), we demonstrate strategic implications for business leaders, including new approaches to productivity tracking, resource allocation, investment strategy, and organizational design. Ultimately, treating digital labor as an independent factor offers a clearer view of economic growth and helps organizations manage AI's transformative potential.