Beyond human attention: AI-to-AI communication as the next frontier in marketing
Abstract
Traditional marketing has long been designed around capturing and sustaining human attention. As digital saturation reaches new heights and consumer decision making becomes increasingly mediated by technology, this paradigm is undergoing significant transformation. The rise of autonomous agents such as artificial intelligence (AI) systems acting on behalf of consumers, businesses and institutions, signals a fundamental shift in approach. Marketing messages are no longer directed primarily at humans but at algorithms and virtual agents making choices on their behalf. This paper explores AI-to-AI communication as the next frontier in marketing. The paper examines the current state of attention-based models and the technological advancements driving this change. It also highlights the accelerating deployment of consumer and enterprise AI agents across some major industries. Benefits of this shift include hyperpersonalisation, streamlined transactions and reduced cognitive burden on human decision makers. Risks include working with algorithmic black boxes, erosion of human trust and the potential concentration of influence among a small set of dominant AI platforms. By framing marketing as an ecosystem where algorithms negotiate, filter and prioritise on behalf of stakeholders, this paper emphasises that organisations must redefine brand strategy for this new reality. Readers can learn about the strategic recommendations for adapting marketing practices in a world where AI agents, not humans, are often the primary audience. This article is also included in The Business & Management Collection which can be accessed at http://hstalks.com/business.
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Author's Biography
Niveditha Mogali is the Director of Enterprise Omni-channel Analytics Capabilities at GSK, with over 15 years of experience advancing data driven decision making across health care and life sciences. In this role, she develops and supports enterprise capabilities centred on artificial intelligence (AI)-based decision systems, scalable measurement and analytics automation across multiple business units. Niveditha’s work spans advanced analytics, machine learning and applied AI, with a focus on designing innovative analytical frameworks that translate complex data into actionable insights. Through close collaboration with marketing, sales and transformation teams, she helps shape more precise engagement strategies, enhance operational efficiencies and support data-informed decision making to expand patient access to therapies and improve health outcomes. Prior to joining GSK, she worked across media and healthcare marketing organisations, developing analytics frameworks to inform content and marketing strategy. Niveditha is also well regarded within the industry for bridging advanced analytics with real-world application, and is an active contributor to industry forums focused on responsible and scalable AI in health care.