The Memory
The pandemic was unprecedented for organizations and HR departments across the globe. It created uncertainty and fear around contracting the virus, job security, food scarcity, and even toilet paper. Many organizations were asked to shut down operations entirely, while others deemed essential had to continue operating under conditions no one had prepared for.
I was working at an organization that was already experiencing rapid growth before the pandemic. When COVID arrived, the company shifted into hypergrowth. We were manufacturing raw materials for the COVID vaccine, which meant our work suddenly carried a level of urgency that was both meaningful and taxing. Non-essential employees were sent to work from home, while essential workers remained onsite.
For employees working remotely, expectations changed almost overnight. Being home began to blur into always being available. It became harder to separate work from life, establish boundaries, or manage workloads that kept expanding. At the same time, we could not hire fast enough. We reached a point where we were conducting remote new hire orientation every week for up to a dozen employees. When I started with the organization in 2017, orientation happened once or twice a month for a few employees. Now, it was happening weekly at a pace the organization had not been designed to support.
The pressure showed up everywhere. Stress and burnout increased across the workforce. Retention was impacted. Manager bandwidth deteriorated. Managers were trying to keep their departments afloat, which left little time for leading teams, training new employees, or managing performance.
I was working up to sixteen hours a day trying to hold the HR function together. I had more work on my plate than one person could accomplish, even if I worked twenty-four hours a day. I was doing my job, supporting my team so they did not become overwhelmed, and taking on projects and tasks delegated by my manager. It was unsustainable. I warned that we were growing too fast and that HR did not have the resources to support the pace, but those concerns fell on deaf ears.
The company’s focus shifted almost entirely to scaling manufacturing to meet business demand. But we were scaling faster than our systems could support. We had space limitations, human resource limitations, and technology constraints. For example, because we did not have enough space to expand manufacturing operations, the decision was made to add a third graveyard shift. But the decision was not well planned, and HR was not meaningfully included in the conversation. I started receiving calls from manufacturing at all hours of the night. It was not realistic for one HR person to function as a twenty-four-hour HR representative.
Leadership failed to create the conditions needed to navigate new operational demands alongside the human experience of those demands. Employee concerns about workload, work-life balance, stress, and dissatisfaction with management were raised repeatedly. Employees started resigning, and in exit interviews I heard the same themes: unrealistic expectations, exhaustion, lack of support, and frustration with management. I communicated those concerns to upper management, but they went largely unaddressed.
At the time, I did not have language for what I was witnessing. I could see people were burning out. I witnessed people leaving. I could feel trust was eroding. I could see leaders were making short-term decisions that solved immediate business problems while quietly creating new organizational ones.
Years later, I realized there was a name for what I had watched unfold: cultural debt. It wasn’t simply burnout or rapid growth; it was the specific cost of deprioritizing culture during a crisis, a cost that organizations are now repeating as they rush toward AI.
Cultural Debt
Deloitte describes this phenomenon as cultural debt: the accumulated consequences organizations incur when culture is deprioritized in pursuit of growth, efficiency, or transformation. This works much like financial debt.
Culture is often treated as something separate from strategy execution, as though it can be paused during periods of urgency and repaired later when conditions stabilize. Unfortunately, it does not work that way. Culture continues to evolve throughout change, shaped by daily decisions, conversations, tradeoffs, and employee experiences.
During periods of uncertainty, cultural cohesion matters most. Yet, these are often moments when companies struggle to maintain it. Behaviors and cultural norms can start to diverge from the organizational values when leaders prioritize operational demands over conditions that sustain trust, communication, inclusion and learning. Communication begins to break down. Process bottlenecks go unresolved. Operational demands continue to grow while the people, systems, and resources needed to support them fail to keep pace. Employees become less involved in decisions that affect their work. Trust erodes. Over time, these unresolved issues accumulate into cultural debt.
Culture debt is not always created through one major failure. More often, debt compounds through repeated moments where organizations choose speed over clarity, output over capacity and implementation over inclusion.
Why This Matters
AI is significantly transforming the workplace and the way we work. The 2025 Global Human Capital Trends report identified increased workloads and stress, reduced well-being, higher levels of loneliness, and decreased autonomy. Yet, much of the conversation continues to focus on how employees interact with AI rather than how AI influences the human-to-human interactions that shape organizational culture. According to Deloitte, 42% of employees report that the human impact of AI is rarely assessed by their organizations. This distinction matters because culture is shaped through employees’ day-to-day experiences with leaders, managers, colleagues, organizational systems, and change itself.
Culture is built on trust. When employees do not understand why AI is being introduced, how it will affect their roles, or whether leaders are being transparent about its purpose, trust begins to erode. AI may be the visible transformation, but the deeper question is whether an organization has built enough trust to carry people through transformation successfully. Technology changes workflows. Trust determines whether people are willing to adapt with it.
There are already signs that this foundation is weakening. A Gallup poll found that only 20% of employees feel strongly connected to their organization’s culture. At the same time, the 2025 Edelman Trust Barometer reported that employee trust in employers declined for the first time since 2018, while leaders also reported declining trust in their workforces. Together, these findings suggest that many organizations are entering one of the largest workplace transformations in decades while the trust and cultural foundations required to sustain transformation are already under strain.
When those conditions are neglected over time, organizations eventually begin paying the cost of cultural debt through burnout, disengagement, role ambiguity, turnover, change fatigue and declining psychological safety.
How Cultural Debt Accumulates
Cultural debt rarely develops because employees suddenly disengage. It accumulates as small organizational signals teach people that speaking up, asking questions, or expressing concerns has little impact. Over time, those experiences reshape how people participate in the organization. Employees begin protecting themselves rather than contributing fully, and change starts to feel like something being done to them rather than with them.
Communication Debt
Communication debt accumulates when organizations communicate without providing the context employees need to understand change. Employees don’t understand why change is happening, what problem AI is intended to solve, or how success will be measured. When communication lacks context, is unclear or one directional, employees fill the gaps themselves. During AI transformation, those gaps are often filled with fear, rumor, skepticism or silence.
This pattern aligns with Amy Edmondson’s research on psychological safety, which suggests that when employees repeatedly experience that their concerns are ignored, they become less likely to share future concerns. Organizations gradually lose access to the information they need most during periods of uncertainty and learning.
Trust Debt
Trust debt accumulates when employees fear replacement, surveillance, or increased productivity expectations without workload redesign, but do not believe that those concerns can be discussed honestly. In those cultures, employees may use AI but avoid conversations about it, which is referred to as shadow AI. They may experiment quietly, withhold questions, or disengage from official adoption efforts because they do not trust how the information will be used.
AI adoption depends on learning, experimentation and honesty. Employees need enough trust to say what might be confusing, what feels risky and where the technology may be creating unintended consequences.
Leadership Debt
Leadership debt accumulates when managers are tasked with leading transformation but are not equipped to articulate the rationale behind the transformation. Managers act as primary translators of organizational change, yet they are frequently brought into the process after key decisions are finalized. Without understanding the rationale behind AI adoption, the tradeoffs involved, or how work will change, they cannot provide the clarity employees need to navigate uncertainty.
When leaders cannot explain the purpose of transformation, employees are left to interpret it through their own history. If past change efforts created burnout, exclusion or broken trust, AI will be viewed through that same distorted lens.
Trauma Informed Lens
This does not mean that organizations should avoid AI adoption. It means they need to understand the human conditions required for transformation to succeed. Readiness is not the same as compliance. Employees can comply with new tools while still lacking trust in the process. They can attend mandatory training while still feeling unsafe to ask questions, make mistakes and experiment and simply be confused. They can use AI while quietly disengaging from the organization implementing it. Compliance may achieve implementation. Trust is what makes transformation sustainable.
A trauma-informed lens encourages leaders to reframe employee behavior. Instead of asking “what’s wrong with our employees” it asks, “what are our employees experiencing.” Behaviors commonly labeled as resistance may signal underlying uncertainty, diminished control, inconsistent communication, or exclusion. Rather than acting as barriers to transformation, these reactions may be valuable feedback about how the change is actually being experienced.
AI Doesn’t Create Cultural Debt
AI isn’t creating mistrust, fear, disengagement, or change fatigue. It is revealing the cultural liabilities organizations have been accumulating all along. If employees already distrust leadership, AI may intensify that distrust. If workloads are already unsustainable, AI may add another layer of expectation rather than a source of relief. If managers already lack clarity, AI can amplify uncertainty rather than minimize it. Eventually, the debt becomes due.
AI accelerates transformation, but it does not determine whether transformation succeeds. Culture does. That is why the question is not simply whether an organization can implement AI. The deeper question is whether the organization has the cultural conditions required for people to adapt, learn and move through transformation together.
Paying Down Cultural Debt
Recognizing cultural debt is only the first step. Paying it down requires more than another communication plan or AI training program. It requires rebuilding the organizational conditions that enable people to trust, adapt, and participate in change.
Deloitte argues that organizations can begin paying down cultural debt by intentionally shaping culture rather than allowing it to evolve by default. This includes: integrating human connection and trust into workflows, embedding ethical AI practices, aligning leadership around shared purpose, strengthening transparency, and ensuring organizational goals, behaviors, and reward systems reinforce the desired culture.
Paying down cultural debt also requires leaders to slow down enough to ask what employees are experiencing, where trust has been damaged, and what systems and/or workflows are creating unnecessary strain.
It also means recognizing that AI transformation extends beyond implementing new technology. AI transforms more than individual tasks. It reshapes roles, workflows, systems, decision-making, governance, and organizational relationships through which work gets done. Treating AI as a standalone technology initiative rather than an organizational transformation increases the likelihood that cultural debt will continue to accumulate.
As AI increasingly automates routine execution, human work increasingly shifts toward judgment, critical thinking, collaboration, ethical decision-making, and oversight. Paying down cultural debt therefore requires redesigning work itself rather than simply expecting employees to produce more with new technology.
Leaders can begin assessing their own AI readiness by asking questions such as:
- Do employees understand why AI is being adopted?
- Has leadership addressed fears about job loss, surveillance, workload or role clarity?
- Are managers properly equipped to explain the change and support their teams through it?
- Has work been redesigned or have productivity expectations simply increased?
- Do employees have safe outlets to raise concerns and share what is working and what is not?
- Are we providing AI training that focuses on mindset, not just tools?
Organizations that make those investments are better positioned not only to adopt AI successfully, but to build cultures capable of adapting to whatever transformation comes next.
Closing
Organizations often ask whether they are ready for AI. The more important and specific question to ask is whether their culture is ready for AI transformation.
Organizations that ignore cultural debt eventually pay for it. The only question is whether they choose to invest in culture proactively, or pay for it later through burnout, turnover, disengagement, declining trust, and failed transformation.
The future of work is not a choice between technology and humanity. It is a test of whether organizations can leverage technology while preserving the humanity that makes work meaningful.
Technology can be deployed overnight. Trust cannot. New tools can be implemented in weeks but healthy cultures are built through everyday decisions, conversations and experiences over months and years.
The challenge facing leaders isn’t simply how to move faster. It’s how to move fast enough to remain competitive while moving thoughtfully enough to bring people with them. The future of work may depend not on how quickly organizations adopt AI, but on how effectively they help people adapt alongside it. Organizations that invest in culture today will be better positioned to realize AI’s full potential tomorrow. Those that ignore cultural debt may discover its true cost only after it comes due.
References:
Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Wiley.
Flynn, J., Harrington, S., Reichheld, A., & Van Durme, Y. (2026) Dealing with AI’s Cultural Debt. Deloitte. https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2026/ai-cultural-debt.html