When OpenAI posted a role for a B2B content marketing lead with a salary range up to $295,000, the internet did what the internet does best: argue. Was this proof that content marketing is finally getting the respect it deserves? Did it indicate that AI companies don’t actually believe their own hype about replacing writers? Was it just bait for engagement?
The discourse missed the heart of the issue. An AI company built on the premise that machines can generate content at essentially zero marginal cost is now paying a premium rate to get a human to sit in the loop. That’s essentially an admission that somewhere in the last few years, the industry cut a function that it didn’t understand, and now it’s paying handsomely to get it back.
As AI-generated content becomes more common across B2B marketing teams, it can help marketers move faster and scale content production, but without human editorial judgment, content governance and clear guardrails, it can also put brand voice, accuracy and buyer trust at risk.
What Layoffs Actually Cut
The wave of content team layoffs was touted as pure cost-cutting. The reality is that those cuts were a misunderstanding of a core function. Leadership looked at content marketers and just saw people who produced words. AI can do that faster and cheaper, so why should they keep around the slower, more expensive humans doing that job?
But content marketers were rarely just writers. They were quality enforcers that protected brand voice across numerous assets and contributors. They caught factual errors and off-brand tone before anything got shipped. They carried inimitable institutional knowledge about what customers cared about and where problems were prone to popping up.
That judgment function was not automated when the layoffs happened. Rather, it was abandoned, as no one built systems to replace it. The work just quietly stopped until the results became impossible to ignore.
The Data Story: Adoption Outpaced Governance
The numbers illustrate the same picture. Markup AI’s survey of 266 C-suite, marketing, and brand leaders found that 92% of organizations are using significantly more AI for content creation than they were just a year ago. But adoption has moved faster than the systems needed to manage it. In the same survey, 99% of C-suite leaders said dedicated AI content guardrails would be valuable.
AI adoption is nearly universal. So is the acknowledgment that guardrails are missing. That’s the crux of the challenge. Companies failed to build in oversight before they needed it, and now they’ll be playing catch-up in an unendingly changing, fast-paced field.
And fast-paced it is. In fact, Menlo Ventures’ State of Generative AI in the Enterprise report found that enterprise generative AI spending hit $37 billion in 2025, up from $11.5 billion in 2024, which is a 3.2x jump in a single year. The biggest slice of that money, $19 billion, went to the application layer: the user-facing products and software built on top of underlying AI models, now accounting for more than 6% of the entire software market. The money isn’t just funding experimentation anymore. It’s flowing into production tools that generate real, customer-facing output at scale, which makes the absence of matching editorial infrastructure even more glaring.
The Result and The Correction
When content scales but editorial review doesn’t, brand voice drifts and errors slip through. Content starts to seem like it was written by no one in particular because, in a sense, it was. Customers notice this milquetoast output. In a B2B environment, where a single piece of content can influence massive deals, generic or inaccurate content erodes the trust that the entire sales motion depends on.
However, the market is already starting to correct itself. Canto’s 2025 report found that 50% of content teams named quality and relevance as their top priority for the year. That’s more than any other single priority, including volume or speed. The conversation is shifting away from “How much content can we produce?” toward “Is this content actually good, accurate, and uniquely ours?” This mindset is essentially a reversal of the assumption that initially drove the layoffs.
Now, many companies are scrambling to rehire for the roles they just axed, which is a good instinct, just pointed at the wrong target. Job descriptions are going back up, looking almost identical to the ones that were cut. They want people to write blogs, manage a calendar, and hit a volume target. But they describe production work, not the editorial and governance work that’s actually in short supply.
The scarce role right now isn’t a person who can produce content. AI has made that abundant. What’s needed is a person who can look at AI-generated content and know, with authority, whether or not it is accurate, on-brand, and good enough to represent the company. That is, at its core, a different job, and the open role postings have yet to account for that.
The Value of Human Judgment
When every organization has access to the same AI tools, human judgment becomes the competitive differentiator. Anyone can get an AI-generated first draft in seconds. What is rarer is a team’s ability to catch what’s wrong with it, tighten it into something unmistakably on-brand, and verify it’s true before it reaches a buyer.
The real takeaway from the $295,000 job posting is that editorial judgment got priced as the scarce resource that it always has been. AI is a genuine force multiplier for teams that pair it with strong governance and human judgment. For teams without it, it’s just a liability masquerading as efficiency.
Holly Enneking is a senior marketing leader with nearly two decades of experience helping innovative technology companies find their voice and accelerate growth. As Vice President of Marketing at Markup AI, she is focused on building an AI-native go-to-market strategy that redefines how the company connects with its audience. Before joining Markup AI, Holly held marketing leadership roles at Bolster, Lev, and Return Path, where she built teams and programs that generated hundreds of millions in pipeline. She is also a co-author of Startup CXO (Wiley, 2021) and the co-founder of Indy Marketers, a 501(c)(3) connecting marketing professionals across Indianapolis. Holly is based in Indianapolis, Indiana.
