For years, CMOs were told that the answer to content performance was more: more articles, more SEO pages, more social posts, more campaigns feeding an always-on publishing machine.
Generative AI has exposed the weakness in that logic.
When competent, generic content can be produced in seconds, volume ceases to be an advantage. The problem is no longer whether a company can create enough content. It is whether anything it creates is worth finding, believing or remembering.
That changes the economics of marketing—and raises a more uncomfortable question for CMOs: What content is still worth paying humans to create?
The answer suggests a new operating model. Rather than treating content as one continuous spectrum of quality and effort, companies should separate it into two fundamentally different systems: machine utility and human authority.
The first helps the company get found. The second gives people a reason to care.
Let machines own utility
A growing share of information is consumed before a human ever reaches a company website. Search engines, AI assistants and answer engines increasingly mediate the first interaction between a buyer and a brand.
That makes a certain class of content more important—but not necessarily more valuable to produce manually.
Product information, specifications, FAQs, definitions, status information and other factual material should be structured for machines to retrieve, interpret and cite. AI is exceptionally well suited to helping companies create, update and organize this layer.
The strategic objective here is not authorship. It is availability.
CMOs should want their organizations to become easy for machines to understand: fact-rich, well structured, current and quotable. This is an operational problem, and it should increasingly be solved with automation.
The mistake is allowing that logic to spread to everything else.
Reserve human investment for authority
Thought leadership operates according to a different economic model.
Its value does not come from answering a question that has already been asked a thousand times. It comes from helping an executive see the problem differently.
That requires something generative AI cannot manufacture on demand: a consequential idea rooted in experience, evidence, judgment and a willingness to take a position.
The strongest thought leadership has always done this. It identifies an important customer problem, develops a distinctive perspective on it and supports that perspective with proprietary research, experience, cases and expertise.
Tim Reason, of Bain & Company, for example, has described thought leadership as a means of entering clients’ conversations about pressing business issues with differentiated insights.
In a recent study, 97 percent of executives said thought leadership helps them make better decisions, and 93% reported direct benefits to their organizations. Yet 69% said the use of AI negatively affects their willingness to engage with an organization producing thought leadership, according to Promise and Peril: How attitudes to and practices in thought leadership are changing in the era of AI, by the Global Thought Leadership Institute (GTLI) at APQC, which surveyed 1,000 C-suite executives and 359 thought leadership producers.
The message for CMOs is unusually clear: executives still want ideas—perhaps more than ever—but they are becoming more discriminating about where those ideas come from. They welcome AI when it helps them find, personalize and synthesize insight; they remain wary when it appears to substitute for originality, depth and human judgment. Thought leadership should contribute a unique perspective that helps the reader think or act differently.
The dangerous place is the middle
The most vulnerable content today is neither useful enough for machines nor insightful enough for humans.
It is the competent 900-word article with no proprietary evidence. The safe executive byline with no discernible opinion. The SEO piece that says what everyone else says, only with the company’s logo attached.
This is where a great deal of marketing investment still sits.
That should concern CEOs as much as CMOs, because thought leadership is not merely a publishing activity. At its best, it is a competitive capability: a way to codify expertise, shape market conversations, open senior-level relationships and even generate new offerings. Research on leading B2B thought-leadership organizations shows that the strongest firms are far more deliberate about the problems they choose to own and the ideas they develop around them.
The strategic choice, then, is not “AI or humans.”
It is deciding where machines create efficiency and where humans must create meaning.
Automate the information your market needs to retrieve. That’s about utility.
Invest disproportionately in authority, the thinking your market cannot get anywhere else.
And stop spending so much money on everything in between.
Written by Rhea Wessel.
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