AI is transforming the world of work—and many people are unhappy about that fact. KPMG’s 2025 American Worker Survey found that 52% of workers worry that AI will take their jobs, with that figure rising to 60% for Gen Z. A recent report by the AI firm Writer found that almost a third of employees report sabotaging their company’s efforts towards AI transformation. There are few, if any, parallels for this level of resistance to the adoption of a technology in the modern workplace. Yet most businesses that fail to adapt to the emergence of AI will soon find themselves out of business altogether.
In early 2023, Eric Vaughan, CEO of the enterprise software company IgniteTech, decided that generative AI was an existential threat and that his entire organization needed to transform or it would die. He dedicated 20% of payroll to AI training, reimbursed employees for tools they purchased themselves, brought in outside experts, and instituted “AI Mondays”—a mandate that every employee, across every function, should spend one full day per week working exclusively on AI projects. The result was resistance rather than radical adoption. People refused to use the new tech, skipped out on training sessions, and even deliberately sabotaged the company’s AI transformation efforts. Vaughan’s response was to largely abandon the idea of transforming the existing workforce. It turned out that “changing minds was harder than adding skills,” so Vaughn began a program aimed at building a new workforce that was more amenable to AI. Within a year, IgniteTech had replaced nearly 80% of its staff.
On one level, this scorched-earth policy seems to have worked. IgniteTech has since developed new products, completed a major acquisition, and posted operating margins that are rare in the software industry. Vaughan has said he would do it all again. But consider what success required. Vaughan’s inability to successfully deliver a cultural transformation to match the technological one meant he was left with no option but to gut his company and rebuild it, with all the inefficiencies and financial and human costs that strategy involves.
There are smoother, more efficient routes to success in the AI future. The 90-day plan below offers one path forward.
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The 90-Day Plan
Days 1-30: Diagnose
The goal of this phase is to understand your existing culture in terms of its day-to-day employee experience, because that’s where the AI transformation will ultimately succeed or fail.
1. Surface the gap between stated and lived culture. Every organization has a stated culture—the values on the wall, the mission on the website, the language used in leadership communications. Every organization also has a lived culture—what actually happens in meetings, how decisions really get made, the behaviors that are rewarded on the ground. Use a combination of employee listening, direct observations, and one-to-one conversations between senior leaders and workers to map the gap.
2. Assess psychological safety with rigor. Use validated instruments to measure psychological safety at the team level. Pockets of low safety are where your AI initiatives will fail first. Identify them and prioritize them.
3. Audit the signals employees actually receive. Are employees who experiment rewarded or subtly punished? Are the people who raised concerns about risk listened to or sidelined? Did the last layoff protect the employees most likely to help the organization adapt, or did it hit them hardest? These signals shape behavior much more than any pronouncements about culture ever could.
4. Map the informal power structure. Every organization has an official org chart and a shadow hierarchy of people whose opinions shape how colleagues interpret leadership’s actions. In a well-functioning culture change effort, these people become the most important accelerators of the transformation. In a dysfunctional one, they become the most effective blockers. You cannot succeed without engaging them explicitly and early.
5. Have the conversation about AI fears. Ask employees directly: What do they fear about AI in this organization? What do they believe leadership is not telling them? What would have to be true for them to trust the strategy? The fears that are never surfaced are the ones that most powerfully shape behavior—and no cultural system can be redesigned around forces that leadership refuses to acknowledge.
For a deeper look at why cultural change exhausts organizations and what to do about it, see How to beat change fatigue.
Days 31-60: Rewire
Now that the system is mapped, the focus moves to changing it. This phase targets the specific mechanisms—signals, structures, and conversations—that transform culture.
1. Change what gets rewarded. Culture is downstream of incentives. Redesign performance evaluations and recognition to visibly value the behaviors that an AI-ready culture requires. Reward experiments run, failures named and learned from, knowledge shared across teams, psychological safety built. The changes do not have to be huge but they do have to be visible and consistent enough that staff can see that the rules have really changed.
2. Make experimentation safe and cheap. Create structures that make it easy for employees to run small AI experiments without bureaucratic friction. Provide access to sandboxed environments, a defined approval pathway for low-risk experimentation, and a small pool of discretionary funding. If your current system requires a business case and three levels of approval before someone can test an AI tool on a real workflow, it is not ready for AI.
3. Redesign meetings as the cultural operating system. Meetings are where culture is reinforced or broken every single day. Audit your most important recurring meetings. Do they reward the person with the most confident opinion or the person who has actually learned something? Do they create space for dissent or shut it down? Small, deliberate changes to meeting design—who speaks first, how disagreement is handled, whether learning is surfaced alongside results—produce outsized cultural shifts.
4. Protect the truth-tellers. In every organization managing a transformation, someone is raising hard truths that leadership does not want to hear. How those people are treated is the single most important signal of whether the culture is actually changing. If they are visibly valued, protected, and listened to, the culture shifts. If they are sidelined, every employee watching will learn that the lesson and the culture will inevitably revert to its past state.
5. Communicate honestly about the workforce transition. The defining question in most employees’ minds is what AI means for their job. Vague reassurance about augmentation over replacement fools no one. Specific, honest communication about what is changing, which roles are being redefined, who is being reskilled, how affected employees will be supported, and what the organization commits to is what builds trust.
6. Create cross-functional working sessions. AI-ready cultures are built on cross-functional collaboration—data teams, business teams, security, legal, and frontline operators working together on problems that none of them could solve alone. Stand up regular working sessions that force this collaboration at the practitioner level: joint problem-solving on active AI projects, monthly sharing sessions where teams present what they have tried and what they have learned, quarterly retrospectives that bring diverse functions to the same table. These are not leadership review meetings. They are the sessions where the people doing the work will build the shared understanding and mutual trust that AI deployment demands.
For more on why AI readiness requires organizational redesign rather than individual training, see What AI Reskilling Really Requires.
Days 61-90: Embed
Energy fades. Attention moves on. The system snaps back to its defaults. This phase is about building the mechanisms that prevent reversion. The goal is to ensure that your cultural changes survive their first real stress test.
1. Celebrate the new behaviors. Identify the teams and individuals who are modeling the culture the organization is trying to build. Make their stories visible—the team that ran an experiment and openly shared what failed, the manager who protected time for learning even when delivery pressure was intense. The stories you choose to tell become the culture you build.
2. Address the blockers openly. Every organization has senior people whose daily behavior is incompatible with the culture it says it wants. By Day 75, you will know who they are. Ignoring these behaviors sends an unmissable cultural signal—one that tells every employee watching that the stated values do not really matter. The organizations that confront these situations directly earn the credibility that will allow them to keep pushing the culture forward.
3. Measure and publish the culture metrics. Track the indicators you diagnosed in Phase 1 on a defined cadence. Publish the results internally. When culture becomes something the organization looks at the same way it looks at revenue or attrition, it starts to get managed with the same rigor.
4. Make culture a question in every AI decision. When a major AI initiative is reviewed, you should always ask: What is this doing to our culture? Is this deployment building organizational capability and trust, or is it eroding both? Is the way we are implementing this consistent with the culture we say we want, or are we sacrificing the culture to hit the timeline? These questions, asked consistently over time, are what prevent transformation from hollowing out the organization from the inside.
5. Iterate. By Day 90, you have data. Use it to design the next cycle. Double down on what is working, redesign what isn’t, and confront what needs confronting.
For more on designing organizational systems around real human needs, see What is human-centric design, and why does it matter?
Conclusion
Eric Vaughan decided that cultural transformation was too hard, opting to replace most of his company’s staff instead. In some circumstances, that can be a viable strategy. But it is an extremely risky one. Replacing 80% of a workforce effectively ends the previous company and builds a new one from scratch. This process is both inefficient and expensive, gambling with the organization’s institutional knowledge, client relationships, and operational continuity. It is far better to drive a successful cultural transformation that brings your people with you.
The 90-day plan outlined above will not complete your cultural transformation. But it will diagnose the system you are actually working with, rewire the mechanisms that shape behavior, and embed the structures that prevent backsliding. The organizations that make these practices permanent will not need to choose between their workforce and their future success. They will have built the capacity to advance both together.
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