The Rising Value of Judgment in Marketing

AI has made a lot of marketing work easier.

A first draft can be produced in minutes. Research that once took hours can be synthesized quickly. Campaign briefs, competitive summaries, sales enablement materials and reporting can all move faster than they did even a year or two ago.

That creates an interesting question for marketing leaders: when more of the work becomes easier to produce, what becomes more valuable?

Increasingly, the answer is judgment.

Judgment is knowing whether the campaign should exist in the first place. It is recognizing that the messaging problem isn’t actually a messaging problem. It’s a positioning problem.

It’s looking at ten reasonable ideas and knowing which two are worth pursuing.

It’s knowing when the data is telling you something meaningful and when it’s simply giving you more data to look at.

And it’s being able to look at a perfectly polished piece of AI-generated work and say, “This isn’t good enough.”

The work is getting faster. The decisions aren’t getting easier.

For years, marketing teams were built in part around the amount of work that needed to get done.

Someone had to conduct the research, write the first draft, build the presentation, pull the report, summarize the customer interviews and turn a meeting into a usable brief.

AI can now absorb or accelerate a meaningful portion of that work, but it hasn’t removed the decisions surrounding it.

Your marketing team still needs someone to decide which customers are worth interviewing, and to recognize the insight buried in those conversations. Someone needs to determine what belongs in the brief, what the sales team actually needs and whether the campaign is solving a problem the business cares about.

In many cases, AI is making the gap between producing the work and knowing what good work looks like much more visible. This has implications for how marketing leaders think about talent.

Experience looks different when production gets cheaper

A senior marketer’s value was never supposed to be that they could create a better PowerPoint deck than a junior marketer. But in practice, experienced people have spent plenty of time doing work well below the level of judgment they were hired to provide.

AI gives organizations an opportunity to change that.

The value of experience can move further upstream. A product marketing leader can spend less time assembling a competitive document and more time determining which competitive shifts actually matter. A demand generation leader can spend less time compiling campaign results and more time deciding what should change because of them.

A CMO can spend less time managing the machinery of marketing and more time deciding where the organization should place its bets. That only works, however, if the work itself gets redesigned.

Giving everyone an AI tool while leaving roles, workflows and expectations exactly as they were doesn’t create much leverage. It simply makes parts of the existing process faster.

Judgment isn’t the same as seniority

There is another wrinkle here.

Years of experience don’t automatically create good judgment.

The marketers who become particularly valuable in this environment are the ones who can combine experience with context. They understand the business, recognize patterns, ask better questions and know where their own expertise ends.

They also know how to use AI without handing their thinking over to it.

That’s a different standard than simply being “good at AI.”

The interesting question for marketing leaders isn’t whether someone knows how to prompt ChatGPT. Increasingly, most marketers will.

The better question is what that person can do with the additional capacity AI gives them.

Can they make a better decision?

Can they see something others missed?

Can they connect information across the business?

Can they challenge an assumption before a team spends three months executing against it?

Can they turn more information into greater clarity rather than more activity?

Those capabilities are harder to automate, and they are becoming easier to distinguish from the work surrounding them.

This changes how we build marketing teams

The traditional answer to a capability gap has often been a new role.

Need better product marketing? Hire a product marketer.

Need stronger demand generation? Add a demand generation leader.

Need more strategic marketing leadership? Hire another senior person.

That model still makes sense in plenty of situations. But AI creates more room to separate the capability a company needs from the volume of work required to support it.

Some capabilities need permanent ownership. Others need deep expertise at specific moments. Some work requires senior judgment but not forty hours of senior capacity every week. And some work that once justified additional headcount may now be handled through a combination of technology, redesigned workflows and the team already in place.

That makes organizational design a more important part of the CMO’s job.

The question becomes less about how many people sit on the marketing team and more about whether the organization has access to the right judgment, expertise and execution for the work ahead.

The bar for great marketing is moving

AI will continue to make more marketing outputs easier to create.

There will be more content, more analysis, more campaigns, more competitive intelligence and more ideas available to every team.

The scarce resource won’t be the ability to produce more of it. It will be knowing what deserves attention.

For marketing leaders, that may be one of the most important shifts to plan for. The advantage won’t come from having the team that can create the most.

It will come from having people who know what is worth creating at all.