UpTrajectory Review

Margaret Lee's piece in MarTech documents a structural shift in marketing hiring that most small business owners have not yet priced in. Drawing on Indeed's Hiring Lab data showing AI mentions in marketing job ads jumping from 8.4% to 14.9% in 2025, PwC's finding of a 62% wage premium for AI skills, and a manual review of 60 live job descriptions, Lee argues that employers are no longer asking marketers to use AI tools. They are asking them to construct AI systems. In 45 of the 60 postings, building AI agents and automated workflows is a listed requirement, not a preference. The job title often stays the same. The actual job does not.

For a small business operator, this is not an abstraction about the future of work. It is a hiring problem you will face the next time you post for a marketing role, and it is a competitive problem you are already facing whether you know it or not. Larger companies are quietly rebuilding their marketing operations around people who can ship automated workflows, not just write copy. If you are still writing job descriptions that ask for 'familiarity with AI tools' or 'experience with ChatGPT,' you are describing a role that the market has already moved past. And if you are competing against companies that have already made this shift, you may be paying more for less capability without realizing why.

What is genuinely useful here is the specificity of the language employers are actually using. One posting Lee quotes states flatly that AI is the way the role will be carried out and that they want a builder's mindset, not a prompt writer. That distinction matters because it signals that the skill being purchased is systems thinking, not tool fluency. We are somewhat skeptical of the PwC wage premium figure as a direct guide for small business hiring budgets, since it reflects large-enterprise salary data across all roles, not just marketing. But the directional claim is well supported by the job description evidence Lee assembles.

The second-order effect worth sitting with is the title-versus-requirements gap Lee identifies. Thirty-three of the 60 postings bury the AI builder requirement inside roles titled marketing operations specialist or similar, meaning the market has not yet developed consistent language or compensation bands for this hybrid skill set. That creates a window for small businesses willing to move early, because the talent pool is not yet being bid up under a clear job category. It also creates a risk: you may hire someone for a traditional operations role and find six months later that the requirements have shifted underneath them, a problem Lee flags directly when she notes that titles stay static while requirements change at your next review.

The practical move is to rewrite your next marketing job description before you post it. Stop listing AI as a soft skill or a bonus qualification. Decide whether the role you are actually hiring for requires someone who can build automated workflows and AI agents, and if it does, say so plainly in the requirements, not the nice-to-have section. If you are not sure what that looks like operationally, audit your current marketing processes and identify which ones are repetitive enough to automate before you write the posting. The gap between what employers are asking for and what job seekers expect is still wide. Small businesses that close it deliberately will hire better and cheaper than those who wait for the market to settle.

“AI is the way in which this role will be carried out. We are looking for a builder's mindset: one that involves workflows and agents, not just prompts.” — MarTech

Takeaway: Rewrite your next marketing job description to require AI workflow and agent building as a core skill, not a nice-to-have, before the market prices it in.