Marketing in the Age of AI: The Intelligent Influence Machine
Language: English
Published by BlochSpin, 2026
- Softcover
- New

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- Title
- Marketing in the Age of AI: The Intelligent Influence Machine
- Author
- Heinsohn, Alena
- Publisher
- BlochSpin
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798904175573
Marketing in the Age of AI argues that marketing is undergoing a fundamental transformation from a campaign-based communications discipline into a continuously adaptive intelligence system. Across the book, AI is presented not as a mere tool for faster copywriting or better targeting, but as the infrastructure now shaping how brands generate content, predict customer behavior, orchestrate journeys, allocate media spend, measure incrementality, and govern decision-making. The book traces this shift from machine-mediated distribution and data advantage through generative AI, conversational systems, algorithmic visibility, attribution science, organizational redesign, autonomous media, marketing agents, and the global regulatory landscape, showing how each layer contributes to a new model of competitive power.
At its deepest level, the book contends that the future of marketing will belong to organizations that combine technical sophistication with strategic coherence, causal discipline, and institutional trust. It explains how predictive models, reinforcement logic, attention economics, and bounded automation can improve performance, but it also insists that long-term advantage depends on governance, legitimacy, and the ability to use intelligence responsibly. By the end, marketing emerges not as a collection of channels or campaigns, but as a system for sensing markets, acting under uncertainty, learning from feedback, and building enduring customer relationships in a world increasingly shaped by AI.
At its deepest level, the book contends that the future of marketing will belong to organizations that combine technical sophistication with strategic coherence, causal discipline, and institutional trust. It explains how predictive models, reinforcement logic, attention economics, and bounded automation can improve performance, but it also insists that long-term advantage depends on governance, legitimacy, and the ability to use intelligence responsibly. By the end, marketing emerges not as a collection of channels or campaigns, but as a system for sensing markets, acting under uncertainty, learning from feedback, and building enduring customer relationships in a world increasingly shaped by AI.
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California Books
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