Tony Wood examines non-human economic actors - autonomous AI systems that participate in economic activity as market participants. Identity, authority, legal status, and trust governance in the machine economy..
| Dimension | Traditional UX | Agentic Experience Design (AXD) |
|---|---|---|
| Primary material | Attention and affordance | Trust and delegation |
| User state | Present, navigating | Absent, delegating |
| Design output | Screens and interfaces | Outcomes and constraints |
| Temporal model | Session-based | Relationship-based |
| Success metric | Task completion | Trust calibration |
Traditional automation executes predetermined rules: if condition X, then action Y. Non-human economic actors exercise judgement within delegated authority. A traditional automated purchasing system reorders when stock falls below a threshold. A non-human economic actor evaluates multiple suppliers, negotiates terms, assesses quality-price trade-offs, considers delivery timelines, and commits organisational resources - all within the scope of authority delegated by its human principal. The diffe
Non-human economic actors are not legal persons. They cannot form legal intent, owe duties, or bear liability in their own name. When an AI agent causes economic harm - mispricing, discriminatory purchasing, contract breach - responsibility must attach to the deploying entity, not the agent itself. Existing legal frameworks including contract law (UETA, E-SIGN Act), negligence, product liability, and agency law are being stretched to accommodate AI-driven transactions. The EU AI Act introduces r
The five dimensions are: (1) Identity and Authentication - how NHEAs establish economic identity and prove their provenance, authority, and principal relationship. (2) Delegation and Authority - the scope, constraints, and governance of economic authority granted to NHEAs. (3) Legal and Regulatory Status - the liability frameworks, regulatory requirements, and accountability structures that apply when software transacts. (4) Market Participation - the roles NHEAs play as buyers, sellers, negotia
Traditional automation executes predetermined rules: if condition X, then action Y. Non-human economic actors exercise judgement within delegated authority. A traditional automated purchasing system reorders when stock falls below a threshold. A non-human economic actor evaluates multiple suppliers, negotiates terms, assesses quality-price trade-offs, considers delivery timelines, and commits organisational resources - all within the scope of authority delegated by its human principal. The diffe
Non-human economic actors are not legal persons. They cannot form legal intent, owe duties, or bear liability in their own name. When an AI agent causes economic harm - mispricing, discriminatory purchasing, contract breach - responsibility must attach to the deploying entity, not the agent itself. Existing legal frameworks including contract law (UETA, E-SIGN Act), negligence, product liability, and agency law are being stretched to accommodate AI-driven transactions. The EU AI Act introduces r
In March 2026, Santander and Mastercard completed Europe's first live end-to-end AI-executed payment. An autonomous system, acting with delegated authority, initiated and completed a regulated financial transaction without direct human involvement at the point of execution. The significance of this event extends far beyond the technology. It marks the moment when software crossed a threshold that economics, law, and design have been approaching but have not yet fully confronted: A non-human economic actor is not a tool. It is not a calculator that computes a price, a database that stores a transaction, or an interface that presents options to a human decision-maker. A non-human economic actor is an autonomous system that This essay examines what it means for software to become a market participant - not metaphorically, but operationally. It traces the five dimensions of non-human economic agency, the design challenges each dimension creates, and why There is a distinction in economics between a tool and an actor. A hammer is a tool - it extends human capability but has no agency of its own. A corporation is an actor - it participates in markets, enters contracts, bears liability, and makes decisions that affect other participants. For centuries, economic theory has assumed that all actors are either natural persons or legal entities created by natural persons. Software was always a tool. That assumption is breaking. Not because AI has achieved consciousness or legal personhood - it has achieved neither - but because AI systems are now performing the Gartner projects that by 2028, AI agents will outnumber human sellers by tenfold and command $15 trillion in B2B purchasing decisions. Bain & Company estimates that AI agents could account for 15–25 percent of U.S. e-commerce sales by 2030 - a market worth $300–$500 billion. The World Economic Forum projects that The threshold is not technological. It is ontological. When software moves from executing instruc