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Marketing Artificial Intelligence: AI, Marketing, and the Future of Business

A practical, nontechnical guide showing marketers how to understand, pilot, and scale artificial intelligence to make their marketing smarter, more efficient, and more human.

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What it’s about

Marketing Artificial Intelligence demystifies AI for the nontechnical marketer, defining it simply as 'the science of making marketing smart.' Drawing on years of research, dozens of interviews with AI executives and engineers, and the authors' experience building Marketing AI Institute, the book explains the core technologies (machine learning, deep learning, NLP/NLG, computer vision) through three approachable categories—language, vision, and prediction. It then walks readers through how to evaluate AI vendors using the Marketer-to-Machine Scale, how to identify and prioritize use cases via the 5Ps framework, and how to apply AI across ten marketing disciplines (advertising, analytics, PR, content, customer service, ecommerce, email, sales, SEO, and social). With real-world examples, vendor spotlights, and a clear-eyed look at bias, ethics, and responsible AI, the book argues that AI will not replace marketers but will augment them—freeing humans to focus on creativity, empathy, and strategy while machines handle data-driven, repetitive tasks. The result is a blueprint for becoming a 'next-gen marketer' who builds a sustained competitive advantage.

The through-line

Who it’s for
A nontechnical marketer (entry-level to CMO) who wants to stay relevant, build a competitive advantage, and advance their career in an industry being transformed by AI.
The problem
Marketers struggle to understand what AI is, how to assess AI vendors, and how to apply AI to reduce costs and accelerate revenue. They feel overwhelmed, uncertain, and fearful of being left behind or replaced as technology accelerates.
The plan
  1. Learn what AI is via the language, vision, and prediction categories.
  2. Use the Marketer-to-Machine Scale to assess and vet AI vendors.
  3. Identify and prioritize use cases with the 5Ps framework and AI Score tool.
  4. Run quick-win pilot projects that are data-driven, repetitive, and predictive.
  5. Apply AI across your marketing discipline using proven use cases and vendors.
The payoff
Accelerated revenue growth and lower costs through intelligent automation. · Personalized consumer experiences delivered at scale. · More time freed for strategy, creativity, and empathy—the uniquely human work.

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