For much of the past decade, companies built increasingly specialized marketing and communications organizations. New channels created new roles. New technologies created new capabilities. Teams expanded around content, social media, performance marketing, analytics, communications, and digital experience.
AI is beginning to change that equation.
Tasks that once required significant time, specialized production resources, or outside support can increasingly be accelerated by technology. Content can be drafted in seconds. Research can be synthesized quickly. Campaign variations can be generated at scale. Data can be interrogated conversationally.
But this does not make marketing and communications leadership less important. In many ways, it makes the quality of leadership more consequential.
The Value Is Moving From Production to Judgment
When execution is difficult and expensive, the ability to produce is itself a competitive advantage. As execution becomes easier, the advantage begins to move upstream.
What should we say? Who are we trying to reach? What does this audience actually care about? Which opportunities deserve attention? What should our brand stand for? Where should AI accelerate the work—and where would it undermine quality, differentiation, or trust?
These are judgment questions.
The strongest marketing and communications leaders will increasingly be evaluated not simply on how much their organizations can produce, but on their ability to focus that increased capacity on the right problems.
AI Fluency Matters. Tool Expertise Is Not Enough.
Companies should expect modern marketing and communications executives to understand how AI is affecting their functions. But that is different from hiring based on proficiency with a particular set of tools.
The technology will continue to change. Specific platforms and workflows that feel important today may look very different several years from now.
More durable is an executive’s ability to evaluate new capabilities, understand their strategic implications, and determine how they should—or should not—be incorporated into the organization. The relevant question is not simply: Does this candidate use AI? It is: Does this candidate understand how AI changes the way their function should operate?
That distinction matters.
Smaller Teams May Be Capable of More
AI has the potential to change organizational design as much as individual workflows.
A highly capable team equipped with the right technology may be able to accomplish work that previously required more people, more agencies, or more specialized resources. That creates new questions for leaders.
Which capabilities need to exist internally?
Where does deep specialization still matter?
What work should be automated?
Where are outside partners most valuable?
How should teams be structured when individual contributors can operate across a broader range of activities? The best leaders will not simply add AI to an existing organizational model. They will reconsider the model itself.
Differentiation Becomes Harder When Everyone Has the Same Tools
AI gives organizations extraordinary creative and analytical capabilities. It also gives those capabilities to their competitors.
When every company can generate more content, more concepts, more research, and more campaign variations, volume alone becomes less meaningful. The risk is a marketplace filled with competent but increasingly similar work. That places greater value on leaders who can create genuine differentiation: executives with a strong point of view, deep customer understanding, strategic clarity, creative judgment, and the confidence to decide what not to produce.
AI can expand the range of possibilities.
Leadership still determines which possibilities are worth pursuing.
Communications Leaders Face a Particular Challenge
For communications executives, AI introduces another dimension: trust.
Organizations now operate in an environment where information can be created and distributed at extraordinary speed. Audiences are increasingly aware that the material they encounter may be automated, synthetic, or incomplete.
Corporate reputation therefore depends not only on the ability to communicate quickly, but on credibility, consistency, judgment, and authenticity.
Communications leaders must understand emerging technology while remaining deeply attuned to how messages will be interpreted by employees, customers, investors, journalists, regulators, and other stakeholders.
The faster communications becomes, the more consequential good judgment becomes.
What Companies Should Evaluate
When hiring marketing and communications executives today, companies should look beyond whether candidates can describe the latest AI developments.
Look at how they think. How have they changed their organization as new capabilities emerged? Where have they used technology to improve performance?
What have they deliberately kept human? How do they distinguish efficiency from effectiveness? How do they evaluate quality when producing more becomes almost effortless?
And perhaps most importantly: Can they determine where human expertise creates the most value in an increasingly automated environment?
AI Is Changing the Role, Not Eliminating the Need for Leadership
Technology will continue to absorb portions of the work historically performed by marketing and communications teams.
Some roles will change. Team structures will evolve. Certain capabilities will become dramatically more efficient.
But companies will still need leaders who understand customers, shape reputation, allocate resources, build teams, make tradeoffs, and connect their functions to the priorities of the enterprise.
AI can provide more options. It cannot remove the need to decide among them. That may ultimately make exceptional marketing and communications leadership more valuable, not less.
