AI toolmates are changing what communicators do and how they create value.
Communications teams have spent years building jobs around creating content, managing requests and executing communications activities. Those responsibilities shaped how teams were staffed, trained and evaluated. But AI toolmates are changing that equation. According to Gartner, nearly 50% of communications heads report using AI for tasks like data analysis, media monitoring and workflow optimization.
“As teams become more adept at applying AI within their work, more of them will find opportunities to reengineer workflows and to invent new ways of working that enhance the communications value proposition and shift the focus of communicators from creation to orchestration,” says Brianna Lux, Director Analyst at Gartner. Yet, leaders shouldn’t wait for this to happen. They need to be proactive about reevaluating communication jobs to prevent capability gaps and achieve high ROIs.
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Organizations often layer AI onto existing jobs instead of redesigning work around the unique strengths of humans and AI. As a result, many teams improve efficiency without fundamentally changing how the function contributes to the business.
AI is reshaping communications through three forms of change:
Augmentation: It’s improving existing work by helping communicators deliver higher-quality outcomes more efficiently.
Reengineering: It’s redesigning workflows to reduce cost and improve, experience and impact.
Invention: It’s creating entirely new forms of work and new sources of value.
While many communications teams are already realizing gains through augmentation, the larger opportunity comes from reengineering and invention. In these areas, communicators contribute less through production and more through strategic influence.
As AI absorbs more repeatable production work, responsibilities such as strategic counsel, stakeholder negotiations, contextual judgment, creativity and insights generation become more valuable. Communicators increasingly spend less time producing outputs and more time shaping how work flows across people, systems and stakeholders. Communications functions create greater impact when human effort is concentrated on high-judgment work while AI increasingly supports routine execution.
As AI takes on more production work, communicators increasingly create value through orchestration. Organizations that want to realize the full value of AI must determine:
Which work belongs to humans
Which work belongs to AI
Which activities require human-on-the-loop collaboration
Rather than spending most of their time producing communications assets, future communications teams will increasingly guide workflows, coordinate AI-enabled work, integrate insights, advise leadership and ensure communications activities support business outcomes.
AI toolmates are augmenting existing work, enabling workflow reengineering and creating entirely new ways of working. Communications leaders must update roles, responsibilities and skills to capture AI’s full value.
Gartner recommends mapping workflows, determining which activities belong to humans versus AI and updating job descriptions to reflect evolving responsibilities in AI-enabled workflows.
Judgment, strategic framing, stakeholder relationships, negotiation, contextual understanding, insight generation and strategic counsel become increasingly important as AI assumes a greater share of routine production work.
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