If you've seen the coverage of Spencer Stuart's new CMO survey, you already know the vibe. The Wall Street Journal: “layoffs expected”. Forbes: “2026 could be when the axe finally falls.“ The framing was consistent: AI is coming for marketing jobs, and soon.
They're not wrong. But there's a more optimistic and interesting reading of the same data.
First, the facts. Spencer Stuart interviewed about 90 CMOs and senior marketing leaders in November. 36% said they expect to reduce headcount in the next 12-24 months, either by deploying AI or eliminating redundant roles.
At the largest companies—those with $20 billion or more in annual revenue—the numbers are starker. Nearly half expect staff cuts over the next two years. A third have already made them in 2025.

Over the next 12–24 months, how do you anticipate AI will impact your marketing function’s hiring?
And the pressure is coming from the top. 37% of marketers at these big companies said their CEOs and CFOs expect cost cuts of at least 20% within two years.
So yes, it's bleak. But not everyone is reading from the same script.
LinkedIn's CMO, Jessica Jensen, offered a different lens in the WSJ piece. She said her conversations with the CEO and CFO are now about "the growth calculus, not the savings calculus."
That's a fundamentally different framing. One approach treats AI as a headcount-reduction tool. The other treats it as a multiplier—a way to move faster, not just leaner. The companies thinking this way aren't asking "how many people can we cut?" They're asking "what can we do now that we couldn't do before?"
These are also the companies creating new roles. Prompt engineers. AI ops analysts. AI search specialists. Data technologists. The survey found that only 4% of respondents hired new staff in the past year, so this isn't exactly a hiring boom. But it signals that the smartest organizations aren't just subtracting but restructuring around different capabilities.
The question for anyone in marketing right now isn't just "will my job survive?" It's "what adjacent skill should I be building?" And if you're a leader: which calculus are you optimizing for?
— Torsten & Peter
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