AI-Driven Business Promotion: Rethinking Marketing Strategy in the Age of Intelligent Systems

21 September 2026, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

Artificial intelligence (AI) has moved from an experimental back-office capability to the operating core of modern business promotion. This paper examines how AI-driven systems including recommendation engines, programmatic advertising, conversational chatbots, generative content tools, and predictive analytics are reshaping how organisations identify, reach, and retain customers. Drawing on academic literature and recent industry survey data, the paper traces the theoretical evolution of promotional strategy from mass marketing toward algorithmically personalised engagement, and it details the core AI mechanisms that make this shift possible. It then reviews documented industry applications across retail, hospitality, banking, and small-business contexts, supported by named case examples, before critically examining the measurable benefits and the accompanying risks: data-privacy exposure, algorithmic bias, consumer fatigue with over-personalisation, and emerging regulatory obligations such as the European Union's AI Act labelling requirements. The paper concludes that AI-driven promotion delivers real and increasingly well-documented gains in marketing efficiency and customer engagement, but that sustainable advantage depends on pairing automation with human oversight, transparent data practices, and realistic expectations about return on investment, since current evidence shows adoption is far ahead of measured business impact for most organisations.

Keywords

Artificial intelligence · Digital marketing · Business promotion · Personalization · Generative AI · Programmatic advertising · Customer engagement · Marketing analytics

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