What is Autonomy Economics?

Autonomy Economics is a reference discipline that studies how value capture, commercial logic, and defensibility change when autonomous capability reduces the dependence of an activity on continuous human direction. It analyses three axes of exposure, human-bounded progression, human-bounded interaction, and capability scarcity dependence, and sets out how firms should redesign pricing and business models when the conditions that made a commercial unit scarce begin to weaken.

How does Autonomy Economics differ from autonomous consumption or autonomous expenditure?

They are unrelated concepts that share a word. Autonomous consumption and autonomous expenditure are long-established terms in macroeconomics describing spending that does not vary with income. Autonomy Economics is a discipline concerned with autonomous capability, machine systems that carry work forward without continuous human direction, and with what that does to pricing, margin, and commercial defensibility. The two fields share no analytical framework.

Who founded Autonomy Economics?

Autonomy Economics was founded by Elemi Atigolo, Managing Partner at Consult Venture Partners. The central concept, the Agentic Profit Paradox, was introduced in FT The Banker in February 2026, and the discipline was formalised in the foundation paper The Agentic Profit Paradox and the Reorganisation of Value Capture, published in April 2026.

What is the Agentic Profit Paradox?

The Agentic Profit Paradox describes a structural tension in which a firm becomes more capable while the commercial basis of its business becomes less secure. It arises when autonomous capability weakens the conditions that made a commercial unit scarce and defensible, while value capture remains anchored to those earlier conditions.

How does the Agentic Profit Paradox differ from The Profit Paradox?

They are separate ideas that share a phrase. The Profit Paradox is a 2021 book by the economist Jan Eeckhout. It argues that dominant firms use market power to earn very high profits while wages stagnate and the wider economy loses dynamism. In that account the firm thrives and the cost falls on workers and consumers. The Agentic Profit Paradox describes pressure on the firm itself. A firm becomes more capable while the commercial basis of its own profit becomes less secure. The cause is a misalignment between the structure of activity and the structure of value capture. Autonomous capability weakens the conditions that made the firm's commercial units scarce and defensible, while value capture remains anchored to those conditions. The paradox does not depend on market power, and a firm can face it while keeping its market position, its clients, and its brand.

What are the Three Laws of Autonomy Economics?

The Three Laws describe how value migrates as autonomous capability expands. First, value moves from production to orchestration. Second, value moves from access to outcomes. Third, value concentrates where scarce judgement governs autonomous throughput.

The Foundation Paper

From Autonomy Economics, the reference entry for the discipline

Progression-Based Mechanism of the Agentic Profit Paradox, the causal sequence from human-bounded progression to commercial redesign (Elemi Atigolo, 2026)

The foundation paper for Autonomy Economics, titled The Agentic Profit Paradox and the Reorganisation of Value Capture, establishes the economic logic behind the Agentic Profit Paradox and defines the core constructs of the discipline. Published in April 2026 and available via SSRN, it provides the formal basis for understanding how value reorganises under autonomous progression and outlines the central claims regarding revenue durability, margin structures, and commercial defensibility.

The full 145-page paper is available directly as a PDF (1.9 MB) if the SSRN security check does not clear.

The paper develops the Three Laws of Autonomy Economics, introduces the Three Axes of Exposure (human-bounded progression, human-bounded interaction, and capability scarcity dependence), and proposes the Revenue Durability and Capability Durability Frameworks. It draws on historical precedents across more than two centuries to show that the migration of value away from established commercial units is a recurring structural condition with a long historical record.

JEL Classification: B41, B59, O33, L20, M21, D21. Keywords: Autonomy Economics, Agentic Profit Paradox, agentic AI, value capture, revenue durability, autonomy-driven business models, economic restructuring, business model redesign, capital-structured autonomy ecosystems.

Questions

Where can I read the foundation paper?

The foundation paper, The Agentic Profit Paradox and the Reorganisation of Value Capture, is available on SSRN. A companion reference site is published at theagenticprofitparadox.com.^[3]

References

^Atigolo, Elemi (February 2026). "The Agentic Profit Paradox". FT The Banker. Financial Times Group. thebanker.com
^"Agentic AI Profit Paradox in Banking". Finance AI Insiders. 2026. financeaiinsiders.com
^The Agentic Profit Paradox, flagship reference and research site. Autonomy Economics. theagenticprofitparadox.com
^Elemi Atigolo, author and founder of Autonomy Economics. Personal site. elemiatigolo.com
^"The Agentic AI Profit Paradox: Implications for Swiss Private Banking Clients". SKN CBBA. 2026. skncbba.com
^Financial Conduct Authority. "Artificial Intelligence in retail financial services: Engagement Paper." January 2026. fca.org.uk
^European Union. "Regulation (EU) 2024/1689 on artificial intelligence." Official Journal. August 2024. eur-lex.europa.eu
^Office of the Superintendent of Financial Institutions Canada. "Guideline E-23: Enterprise Risk Management (Model Risk Management and Artificial Intelligence)." Effective May 2027. osfi-bsif.gc.ca
^Australian Securities and Investments Commission. "Report 798: Digital Financial Services and Cyber Resilience Vulnerabilities." October 2024. asic.gov.au
^American Bar Association. "Formal Opinion 512: The Paradigm for Generative AI in Legal Practice." 29 July 2024. americanbar.org
^Health Canada. "Pre-market Guidance for Machine-Learning-Enabled Medical Devices." February 2025. canada.ca
^Food and Drug Administration. "Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management." January 2025. fda.gov
^World Health Organization. "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models." 18 January 2024. who.int
^Bohnsack, R. & de Wet, M. (2025). "AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI." arXiv:2506.17339. arxiv.org
^Marks, Howard (February 2026). "AI Hurtles Ahead." Oaktree Capital. oaktreecapital.com
^Marks, Howard (December 2025). "Is It a Bubble?" Oaktree Capital. oaktreecapital.com
^Reuters (March 2026). "HSBC appoints first chief AI officer as it seeks cost cuts." reuters.com
^Reuters (March 2026). "HSBC weighs deep job cuts as AI overhaul unfolds." reuters.com
^Financial Times (February 2026). "Consultancies set for fastest growth in years on back of AI boom." ft.com
^Jorzik, P., Klein, S. P., Kanbach, D. K. & Kraus, S. (2024). "AI-driven business model innovation: A systematic review and research agenda." Journal of Business Research, 182, 114764. doi.org
^Parker, G. G., Van Alstyne, M. W. & Choudary, S. P. (2016). "Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You." W. W. Norton & Company.
^Evans, D. S. & Gawer, A. (2016). "The Rise of the Platform Enterprise: A Global Survey." The Center for Global Enterprise.
^Foley, S. (6 February 2026). "KPMG pressed its auditor to pass on AI cost savings." Financial Times. ft.com
^Davalos, J. and Ford, B. (30 June 2025). "PwC's AI chief says firm has cut prices as tech saves staff time." Bloomberg. bloomberg.com
^Salesforce (15 April 2026). "Introducing Salesforce Headless 360. No Browser Required." salesforce.com

The Foundation Paper

Questions

Where can I read the foundation paper?

See also

References