Beyond the rollout: what it takes to sustain AI adoption
By Meghan DeFrance
Organizations are investing heavily in AI, but many are struggling to turn that investment into a measurable impact. Access to tools is expanding quickly, yet adoption often remains uneven and limited to small groups of early adopters.
The challenge is not the technology itself. It is helping people understand how AI fits into their work, building confidence using it, and making it part of daily routines. Successful AI adoption requires more than training and tools. Employees need clarity, support, leadership modeling, and practical examples that show how AI can make their work better.
AI adoption is a people challenge
Many organizations approach AI as a technology rollout. In reality, it is a behavior change effort. Employees are being asked to learn new skills around AI while navigating questions about safety, quality, job security, and professional value. When organizations don’t address those questions directly, employees often fill in the gaps themselves. Leaders may see AI as a transformation, but employees usually interpret that as uncertainty. That gap can slow adoption, even when people recognize AI's potential.
The hidden barriers to adoption
One barrier is what Harvard Business Review has called "psychological debt," or the unseen costs employees absorb during major change. These can include loss of control, confidence, identity, and connection.
For AI adoption, identity may be the most important. Many employees have built expertise around skills AI can now support or accelerate, such as drafting, researching, analyzing, or summarizing. Even when AI improves efficiency, it can raise difficult questions about individual value and future expectations. Those concerns cannot be solved through training alone. They require clear communication, visible leadership, and a compelling answer to the question: "What does this mean for me?"
Why technology alone does not deliver results
Organizations often assume that once an AI tool is available, adoption will follow. But value is created only when people change how they work.
An AI license is costly, and a return on that investment comes when employees use the tool consistently, confidently, and in ways that improve outcomes. That requires more than implementation. It requires trust, behavior change, and workflow integration.
Three ways to sustain AI adoption
1. Build trust through communication
Employees need to understand why AI is being introduced, how it will be used, and what it means for their role. Clear, consistent communication reduces uncertainty and helps employees see AI as a source of support rather than disruption.
2. Make leadership modeling visible
Leaders need to show how they are using AI in real work. That means moving beyond broad statements of support and sharing practical examples such as how AI helped them prepare for a meeting, summarized information, drafted a message, or generated ideas. Visible modeling normalizes adoption and gives employees examples they can use.
3. Integrate AI into workflows
AI adoption stalls when it becomes another task on an already full plate. Organizations should identify where AI can simplify work, reduce low-value tasks, and improve existing processes. Sustainable adoption happens when AI becomes part of how work gets done, not an extra step.
Bottom line
The organizations seeing the greatest value from AI are not simply deploying the best tools. They are creating the conditions for people to use those tools well. Sustaining AI adoption requires trust, clarity, leadership, and intentional workflow design. When organizations invest in both the technology and the people who use it, AI becomes more than a tool. It becomes a catalyst for stronger performance, better decisions, and meaningful business impact.
To learn more about sustaining AI adoption, join Groundswell’s own Stephanie Joranson and Tatum McIsaac in Minneapolis, for the PRSA Midwest District Conference June 24-26, where they’ll lead a candid conversation on AI adoption and how businesses can turn AI technology from a promising investment into a trusted, everyday capability built around humans, not hype.
Meghan DeFrance is a trusted communications professional known for crafting compelling stories that build connections between organizations and their most important audiences. Meghan has led impactful communications efforts for a wide range of organizations across many different industries. Her work is grounded in a commitment to drive meaningful engagement, strengthen internal alignment and deliver clear, purposeful messaging.
