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The Research
A standing body of academic work that defines agentic commerce as a field: peer-reviewed publication, more than thirty works on SSRN, and original consumer research.
A standing body of academic work that defines agentic commerce as a field: peer-reviewed publication, more than thirty works on SSRN, and original consumer research.
The frameworks are built on evidence.
This is the full research record behind the buying-side and selling-side theory of agentic commerce: work published in leading outlets, an original consumer study, and a connected programme of working papers, each citable and openly available. Taken together, it defines AIO-Commerce as a formal academic discipline and provides its theoretical architecture, named vocabulary, and measurement frameworks. The AI Praxis, established in 2024, is to our knowledge the first dedicated research practice in the world studying agentic commerce and its implications for retailers, brand owners, policy makers, and the economics of commerce. The practice exists to move the field from observation to verifiable, data-driven fact: the physics of agentic commerce, and the instruments that measure it.
In association with Appinio, original consumer research mapping how shoppers begin to delegate search, evaluation, and purchase to AI agents. The empirical ground under the theory, presented in a joint report and webinar.
Keynote on 3 September 2026 at the Palais, Messe Berlin, inside IFA 2026: The Post-Human Checkout, on what the separation of the consumer and the algorithmic shopper does to the three pillars of retail, before an audience of European retail and brand leadership.
Keynote on 5 September 2026 in Istanbul, hosted by the Republic of Turkiye Ministry of Trade and the Turkish Exporters Assembly: The Post-Human Checkout, for an audience of export brands competing for machine-mediated buyers across borders.
Keynote at the Brazil AI Festival (13 to 14 May 2026), on the main stage alongside leaders from Anthropic, MIT, and Google DeepMind, with press coverage across Brazil naming agentic commerce as the frame for what is next.
Priority note, submitted to SSRN, 7 September 2026 (abstract 7427339; link to follow on posting). It defines Proof-Based Pricing, the seller-side pricing model for a buyer that is a software agent shopping for a person under an evaluation rule set by an intermediary: a price is a claim about quality, the agent discounts to nothing any claim it cannot verify, and the verifiable proof that travels with an offer becomes part of its price. To our knowledge the first formal statement of this pricing model. Registration filed with the US Copyright Office, September 2026 (certificate pending).
Pre-registered experiment: Verification, Legibility, Price, and Schedules: Pre-Registered Behavioral Tests on Language-Model Buying Agents, registered with the Open Science Framework on 8 September 2026, DOI 10.17605/OSF.IO/GPBUK, license CC BY-NC 4.0. The hypotheses, the design, and the analysis plan are frozen before any result exists.