Advances in artificial intelligence (AI), data infrastructures, and platform technologies are reshaping services and organizational frontlines. We conceptualize this shift as the emergence of the “service techonomy,” in which omni-personalization manifests via Prescribed, Omnipresent, and Personalized Persuasion (POPP; e.g., such that AI-driven agents guide frontline service interactions, determine service access and offers for consumers, and monitor and steer frontline employees). We derive four functional forms of POPP—interactive, pre-emptive, allocative, and governing—and organize them in a 2 × 2 matrix based on the timing of influence (reactive vs. proactive) and mode of influence (constraining vs. supportive). Anchored in evolutionary economics and the multi-level perspective on socio-technical transitions, our framework shifts attention from isolated technology and personalization features toward broader configurations of AI-mediated influence that shape service value creation, extraction, governance, and potentially inequality across customers, employees, and collectives in service ecosystems. This perspective provides a foundation for future theory building, measurement, and responsible design of AI-mediated services and organizational frontline research.
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Mende et al. (2026) studied this question.
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