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.

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.

Which sectors are most exposed to the Agentic Profit Paradox?

Exposure is highest where revenue is tied to human-bounded progression or to controlled access rather than to outcomes. The discipline maps sectoral exposure across consulting, SaaS, legal services, wealth management, audit, compliance, consumer applications, and marketplaces.

Sector

Accounting and audit

Audit and accounting combine high-volume structured progression with accountability that cannot be delegated. The prediction is that progression automates while sign-off, verification and liability concentrate value.

observations

supportive

challenging or unresolved

Primary exposure

Human-Bounded Progression

Economic activity that historically depended on humans carrying work through stages requires less human progression to produce the same economic result.

Register-wide status: Strong

Evidence timeline

30 April 2026
Autonomy Economics published
Everything after this point is an observation made once the predictions were on the record.
9 JUN
KPMG and Microsoft deploy Agent 365 governance across global AI agents
SupportivePost-publication

What would falsify the prediction for this sector

Audit progression automates substantially while fee structures, staffing pyramids and the economics of sign-off remain unchanged.

All accounting and audit evidence

Microsoft·9 June 2026

KPMG and Microsoft deploy Agent 365 governance across global AI agents

KPMG and Microsoft announced global deployment of Agent 365 and Copilot, including tooling to manage, monitor and secure AI agents across KPMG and client organisations, alongside Copilot deployment to more than 276,000 professionals.

HBPLaw 1Law 3

Prediction testedAs autonomous throughput expands, value and organisational importance move toward monitoring, control, verification and governed execution.

AssessmentSupportive Strong

Why it mattersGovernance is being operationalised as infrastructure for enterprise-scale agent deployment, not treated solely as a compliance afterthought.

Post-publicationView evidence →