New Theory Explores Knowledge as Capital in Modern Economies
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.
Who benefits
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.
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
- 1Re-evaluate company assets to include intangible knowledge capital in strategic planning.
- 2Develop new metrics for measuring and tracking the generation and deployment of knowledge within an organization.
- 3Design intellectual property strategies that account for "cognitive enclosure" and "feedback capture."
- 4Foster organizational structures that facilitate the conversion and sharing of knowledge as a productive asset.
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…"
View on XOriginally posted by Jeffrey Gardiner on X · view source
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