Who will train tomorrow’s marketers if AI does the job? Clio

Who will train tomorrow’s marketers if AI does the job?

 Clio

Much of the discussion around AI and marketing jobs has focused on one question: Will AI replace entry-level marketers?

It might be the wrong question.

A bigger one is emerging: If AI takes over the execution work that junior marketers have traditionally done, where will the next generation of marketing leaders learn to judge? Marketing has always been an apprenticeship. People don’t develop strategic thinking by reading about campaigns. They develop it by building them, making mistakes, receiving feedback, and gradually learning what good looks like. If AI removed these early learning experiences, it could also weaken the process that produces tomorrow’s marketing leaders.

Jobs change because tasks change

One reason it’s easy to miss this topic is that we still talk about AI as if it’s just another skill marketers should learn.

The National Association of Colleges and Employers (NACE) recently reported that demand for AI skills in entry-level positions has more than doubled in six months, with 35% of entry-level jobs now requiring skills such as selecting appropriate AI tools, writing suggestions, evaluating AI results, and using AI to improve productivity.

This framing underestimates what is really happening.

AI is not becoming another line item in the marketing job description. It is changing the way many marketing activities are performed. Looking at jobs as collections of tasks rather than titles provides a much clearer picture of the impact of AI.

Paul Roetzer and the SmarterX team made this case through JobsGPT, which estimates the extent to which individual job tasks are exposed to AI. Instead of asking whether a role will disappear, JobsGPT asks a more practical question: How much work within that role can already be done by AI?

This distinction is important.

Entry-level marketers do the most automatable work

To better understand what this means for marketing, I looked at a variety of entry-level job descriptions from Indeed, LinkedIn, Handshake and other career sites, including marketing coordinators, email marketing specialists, junior copywriters, SEO specialists and social media coordinators.

Most of these positions revolve around execution.

  • Write first drafts.
  • Creating email campaigns.
  • Website updating.
  • Planning social posts.
  • Keyword research.
  • Compilation of reports.

Many of these activities already fall into the medium to high exposure categories defined by WorksGPT.

The implication is not necessarily that these jobs will disappear overnight. The fact is that the work done historically by junior marketers is increasingly the same work that AI can do quickly, cheaply, and with acceptable quality.

This changes the way organizations think about hiring.

Judgment develops through work

Execution has never been the end goal of an entry-level marketing job. This is how marketers learn.

Writing dozens of mediocre email subject lines teaches you why one works better than another. Building campaigns teaches you how audiences actually behave, rather than how textbooks say they behave. Watching marketers edit your work teaches lessons that no amount of advice can provide.

These repetitive tasks are where judgment develops. The more AI does this work, the fewer opportunities junior marketers have to develop those instincts. This is the part of the conversation that worries me the most.

In my marketing classes at the University of Wisconsin School of Business, we experimented with one possible answer.

Students complete assignments on their own before using generative AI to critique their work. The goal is not simply to use AI more effectively. It’s about comparing independent thinking with AI-generated alternatives and understanding where each succeeds or fails.

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Can AI auditing replace experience?

This approach reflects what many marketers expect AI-assisted work to become. We will increasingly spend less time producing first drafts and more time reviewing, refining, and directing AI output. But there’s an obvious challenge: auditing requires judgment.

How does someone know if the AI ​​produced a good answer if it never learned what a good answer looks like in the first place? This is difficult to solve outside of a classroom.

Robert Rose recently explored this issue in a four-part series for the Content Marketing Institute. Drawing on “CMI 2026 Career Outlook and Salary” notes that one in three companies are reducing entry-level marketing hires while simultaneously asking senior marketers to produce more with AI. His warning is hard to ignore.

“If you replace the junior with a prompt, you liquidate future leadership.”

This observation gets to the heart of the matter. Organizations can improve short-term efficiency by unintentionally weakening the talent pipeline they have depended on for decades.

The missing generation of marketers

Marketing leaders don’t emerge fully formed. They develop through years of running campaigns, receiving feedback, learning from mistakes, and gradually taking on more strategic responsibilities. If fewer people have the opportunity to go through this process, the industry ultimately inherits a different problem.

There is no shortage of AI users.

A shortage of marketers.

It’s still too early to know exactly how AI will reshape marketing employment. Hiring data remains mixed, and organizations are experimenting with different ways to integrate AI into their workflows.

The long-term cost

The long-term question is not whether AI will change entry-level jobs. It seems like it’s already happening.

The question is whether organizations can redesign the apprenticeship model that has developed marketing talent for decades. Because if AI increasingly takes over the work that marketers once mastered, the industry may eventually discover that the hardest skill to automate isn’t execution.

He was developing the judgment that turns junior marketers into future leaders.

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