New Theory Explores Knowledge as Capital in Modern Economies

Jeffrey Gardiner· June 18, 2026 View original

Summary

This volume develops a "knowledge theory of capital" for economies where productive capacity increasingly resides in intangible assets like software, data, and expertise. It examines how knowledge becomes a stock-like asset, its generation, governance, deployment, and measurement, distinguishing various forms of knowledge capital.

This work proposes a novel economic framework, a "knowledge theory of capital," tailored for contemporary economies. In these systems, productive capacity is increasingly found in non-physical assets such as software, data, AI models, and collective expertise, rather than traditional physical capital. Building upon Adam Smith's foundational theories, the volume investigates how knowledge transforms into a capital-like asset. It explores the processes of its creation, conversion into manageable forms, strategic deployment, continuous improvement through feedback, and how it is either protected or shared. The theory also addresses the challenges of measuring and accounting for this often-invisible "dark capital." The framework differentiates between embodied, disembodied, institutionalized, commons, and public forms of knowledge. It introduces concepts like "first conversion" and "cognitive enclosure" to analyze how productive knowledge is governed, arguing that modern wealth depends critically on this governance, not just on capital accumulation.

Why it matters

For professionals in tech, finance, and strategy, understanding knowledge as a form of capital is crucial for valuing companies, designing intellectual property strategies, and fostering innovation. It provides a lens to analyze the true drivers of economic growth in the AI era.

How to implement this in your domain

  1. 1Re-evaluate company assets to include intangible knowledge capital in strategic planning.
  2. 2Develop new metrics for measuring and tracking the generation and deployment of knowledge within an organization.
  3. 3Design intellectual property strategies that account for "cognitive enclosure" and "feedback capture."
  4. 4Foster organizational structures that facilitate the conversion and sharing of knowledge as a productive asset.

Who benefits

FinanceConsultingTechnologyEducationGovernment

Key takeaways

  • Modern economies increasingly rely on knowledge, data, and software as primary capital.
  • The theory analyzes how knowledge is generated, governed, deployed, and measured as a stock-like asset.
  • It distinguishes various forms of knowledge capital, including embodied and institutionalized.
  • Effective governance of productive knowledge is critical for wealth creation in the AI era.

Original post by Jeffrey Gardiner

"arXiv:2606.18288v1 Announce Type: cross Abstract: This volume develops a knowledge theory of capital for economies in which productive capacity increasingly resides in software, data, models, routines, expertise, platforms, organizations, commons, and public epistemic infrastruct…"

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