Much of the conversation around AI and work has centered on a single question: Will AI take my job?
It’s an understandable concern. Every week AI becomes increasingly more capable. We see AI summarizing meetings, generating content, analyzing data, writing software and automating workflows that once required significant human effort. Agentic AI is also becoming more established in the workplace, with virtual agents that can reason, plan and act across workflows. As those capabilities continue to improve, many employees are looking at the tasks they perform every day and wondering how much longer they will belong to them.
I believe that question reveals a bigger issue that has little to do with the technology itself.
Too many people have become defined by the tasks they perform rather than the value they create. Over time, the administrative work surrounding a role can overshadow the purpose behind it. According to Asana’s Anatomy of Work Index, knowledge workers spend 60% of their time on “work about work” — coordinating, tracking and managing tasks rather than driving meaningful outcomes. As AI automates more of this work, it can feel less like a productivity breakthrough and more like a threat because many employees equate their value with the activities that consume most of their day.
But most people were not hired to perform a task. They were hired to fulfill a purpose.
A customer service representative isn’t successful because they spend their day summarizing conversations, looking up account information or navigating multiple systems to find answers. Those activities may have become part of the job, but they aren’t the reason the role exists. Great service professionals build trust, solve problems and create moments that strengthen customer relationships. AI can, and should, take on this administrative work, but the human value has never been in completing those tasks. It has always been in helping customers through moments that matter.
The industry increasingly recognizes this distinction. In fact, 91% of CX leaders believe human agents will remain a critical part of delivering customer experience, according to my company’s State of Customer Experience 2026 report. As AI takes on more routine work, the role of the employee doesn’t disappear. It becomes even more focused on the judgment, empathy and relationship-building that customers value most.
The same principle applies across every profession. A marketer isn’t measured by the number of presentations they build or approvals they coordinate; they’re hired to shape customer perception and drive growth; an HR professional isn’t successful because they schedule interviews or process paperwork; they’re there to identify, develop and retain talent. The examples go on, but the principle remains the same: Organizations create roles because outcomes need to be achieved, not because tasks need to be completed.
I’ve helped lead four major AI transformations, spanning everything from machine learning and big data to conversational AI, generative AI and now agentic AI. While the technology has evolved dramatically, one pattern has remained remarkably consistent.
The employees who embrace AI tend to focus on outcomes, while those who fear it often focus on tasks. The more someone defines their contribution through a list of activities, the easier it becomes to imagine AI replacing them. The more someone understands the purpose they serve, the easier it becomes to see AI as a tool that helps them deliver greater value.
As part of AI transformations, CIO organizations are often responsible for mapping jobs and core workflows. Inevitably, employees think we’re mapping their jobs to figure out what AI can replace. But once we start identifying repetitive work they’d gladly hand off, perspectives change. Someone says, “If AI handled that, I’d finally have time to work directly with customers.” Another realizes they could spend more time creating. People start thinking less about what AI might replace and more about what they’d finally have time to do. They’re reconnecting with the reason they wanted the role in the first place.
I’ve seen this play out as AI adoption expands. Our team responsible for responding to customer RFPs began using AI to analyze requirements, surface relevant information and accelerate response development. Their purpose is to help the organization communicate our value to customers and win new business. By reducing the time spent on low-value activities, AI created more capacity for strategic thinking, collaboration and customer-focused work, which directly influences the revenue and growth of our company.
I’ve even had to confront this myself. I used to spend hours coaching leaders before operational reviews: reviewing KPIs, challenging assumptions and helping them prepare for difficult questions. I used to think this was part of what made me valuable as a CIO, but I realized that I didn’t need to spend my time repeating the same coaching session. That’s why I built a virtual coach that helps my team prepare for operational reviews using many of the frameworks and lessons I’ve accumulated throughout my career. Now I have more time to spend strategizing on how to lead through the breakneck speed of AI evolution and helping the business think differently.
What employees are really confronting is a different question: What was my purpose in being hired in the first place?
As organizations move from AI experimentation to AI-first operating models, this question becomes harder to avoid. The tension is already visible across the workforce. A recent EY survey found that 84% of employees are eager to embrace agentic AI because they expect it to improve productivity, efficiency and the overall work experience. Yet 56% also worry about their job security working alongside AI systems. Employees aren’t rejecting AI; they’re trying to understand which parts of their contributions remain uniquely theirs as technology takes on more of the tasks they perform today.
Success will depend greatly on helping employees reconnect with the value they were hired to create. For leaders looking for practical guidance on how organizations are actually approaching AI-first transformation, the World Economic Forum’s AI-First Operating System offers a useful framework. Rather than treating AI as another technological tool, this approach encourages organizations to redesign work around value creation. As AI increasingly takes on routine tasks, employees must become clearer about where human judgment, creativity and relationships can create the greatest impact. You cannot redesign work around value if people no longer understand the purpose behind the work that they do.
In my experience, the organizations seeing the strongest results are helping employees reconnect with the outcomes they were hired to create. The conversation shifts from “What tasks can AI do?” to “What is the purpose of this role?” Once people answer that question, it becomes much easier to decide what should remain human, what can be delegated to AI and where the combination creates the most value.
None of this means change won’t happen. Some responsibilities will disappear. Some jobs will evolve significantly. New roles will emerge that we cannot fully predict today. Every major technology shift creates that kind of change.
But I believe many people are looking at this transformation through the wrong lens.
The question is not whether AI can do your tasks. The question is whether you understand the purpose behind them. Because while AI may increasingly perform the work, humans will continue to provide the judgment, creativity, accountability and value that give that work meaning.
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