Marketing in the AI Era

The machine can do the work.
Someone still signs it.

Five courses. Five books. Five live AI studio platforms. A complete marketing curriculum built for the AI era — teach it as a program, adopt a single course, or add a studio to the course you already teach.

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The era

Fluency became free. Judgment became the job.

Fluent marketing output — copy, plans, reports, analysis — has become effectively free. Every student now sits down next to a machine collaborator that drafts in seconds what used to take a week, and drafts it well. The production layer of the profession has collapsed; the judgment layer is hiring.

Most marketing curricula were built for the old world, then patched: an AI policy here, a prompt-writing unit there. The patches miss the point. The skill this era pays for is not producing the work and not prompting the machine — it is judging the work: knowing what's true, what's on-brand, what the numbers actually prove, and what deserves a signature.

No marketing curriculum was built for that world. This one was.

Adoption

Three ways to adopt

As the course. The introductory course stands alone as a first marketing course — no prerequisites, the whole field toured in one semester. Each advanced course stands alone in its specialty, at its own fictional company, assuming only intro-level marketing.

Alongside the course you already teach. Every course also runs as the AI dimension of an existing one. Keep your standard text and your syllabus, and add the studio — the labs, the scripted Coach, the graded transcript — with the book as its companion volume. Materials release on your schedule, so the studio paces to your course, not the other way around.

As the program. Together the five form a complete curriculum: one contract, one method, four professional rooms to master it in.

Start with one section of one course; the platform, codes, and instructor materials scale from there.

Preview a Course

The series was created by Paul S. Richardson — Professor of Marketing at Niagara University, developer of a nine-course AI-marketing curriculum, and a researcher cited more than 5,100 times — and is published by Cambria Press. Every course was taught with the author's own students before it was offered for adoption.