AI may look like a technology shift, but for teams it changes how work gets done. It affects how they think, create, analyze, brief, decide, collaborate and spend their time. It can challenge their perception of their worth and abilities.
It can create fear.
For every headline about efficiency, optimization and the accessibility of knowledge, there’s someone wondering: what does this mean for my job security, will I still be recognized with status and progression, and do my years of experience and knowledge mean nothing? They’re universal responses, regardless of experience or role.
We see fear as a new step in the behavior change journey.
Oxford has been guiding organizations through behavior change for 40 years. This is how we’re helping leaders make change stick in an AI world.
When supporting leaders and teams with behavioral change in their organizations, Oxford’s framework comprises four steps:
Need – teams need to understand the business need.
Get – they need to get what is being asked of them.
Do – they need to do and experience the behaviors.
Live – they need to live them, every day, in their work.
For many – businesses and individuals alike – AI is a more extensive, potentially more disruptive change than anyone’s seen before, because it touches identity, confidence, capability and future value.
A study by the Pew Research Center found 71% of adults believe AI will lead to job losses over the next 20 years. That caution is spreading, too. More than half (52%) of Americans are more concerned than excited about the use of AI in daily life.
Organizations need to create an environment of mutual trust and support, where people can voice their concerns and questions:
Fear isn’t a weakness barrier to work around, but a step to design for.
In our behavioral change model, fear falls between need and get:
Need – why does your team need AI? People need to know ‘what’s in this for me?’ So inspire with ‘what if’ scenarios.
Fear – leaders and organizations must show trust and provide clarity, and cultivate a space for surfacing fears in open discussion.
Get – while ideas in principle can make sense, real-life application might not. Leaders need to demonstrate how AI can be used in practical ways.
Do – use internal change agents to gradually effect behavioral shifts, sharing examples and successes.
Live – to move teams from occasional use to regular adoption, measure the change, followed by reward and recognition.
If leaders ignore fear, they get surface-level adoption and quiet resistance.
People may appear to engage, but avoid meaningful use. AI will stay at the edges, workflows won’t change, and value won’t scale.
While change might be necessary and inevitable, poor communication can be destructive, harming employee sentiment and company culture. Worse would be to ignore the value of people – high-profile u-turns from the likes of Klarna, Ford and IBM show AI can’t replace entire workforces.
AI mustn’t be perceived as a threat. And nor must it be seen as an individual pursuit. In a June 2026 survey report, the Harvard Business Review reported almost one in three respondents had withheld AI-related knowledge, workflows, or techniques from coworkers or employers. Mutual trust and collaboration must be seen and experienced throughout the change journey.
Leaders need to help teams move through fear so they can understand, experience and embrace AI. To do that, they need to:
If there’s slow adoption, confusion, subtle or overt resistance, review each stage of the process to identify what needs to be revisited. Don’t ignore fear.
AI adoption isn’t about forcing people to use new tools and adapt to new ways of working. It’s about helping them move through fear into confidence, action and momentum.
Oxford has been helping organizations make change stick by combining 40 years of behavior change expertise with capability, learning, design and AI expertise. If you want AI to be a success, speak to us.