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Prior to the recent advances in AI, I interviewed Kevin Cashman, a senior partner at Korn Ferry. I remember how much we talked about organizations investing in development, self-awareness, and learning agility. Times have certainly changed since that conversation, especially when you look at a recent Korn Ferry article that noted how HR budgets are being reduced while companies invest more in AI. The article also pointed out that not everyone is comfortable with this direction, especially as AI adds complexity to work while HR resources are being reduced.
How Have HR Budgets Changed As AI Investment Has Increased?
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A few years ago, HR was expanding in ways that were hard to miss. After the pandemic, talent shortages, remote work challenges, and retention issues pushed HR into a more visible and influential role. Many organizations increased HR budgets and relied on them for guidance on culture, engagement, and how to navigate uncertainty.
That dynamic looks different today. Hiring has slowed in many industries, and AI is taking over parts of recruiting, onboarding, and administrative work that once required more human involvement. As a result, some organizations are shifting resources away from HR and toward technology, research, and growth-focused areas.
What stands out is not just the reduction, but the change in what organizations appear to prioritize. The focus has moved from supporting people through disruption to improving efficiency through systems. That change says a lot about how leaders are viewing work right now.
What Has Changed In The Way Employees Experience Work With AI?
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When I talk to leaders and employees, the conversation about AI rarely sounds as simple as the headlines suggest. People may be spending less time on repetitive tasks, but they are spending more time interpreting information, questioning outputs, and deciding what to trust. That changes the nature of work in ways that are not always obvious at first.
Work has become less about execution and more about judgment. Employees are being asked to think differently, make more decisions, and adapt more quickly while still maintaining performance. That shift can feel more demanding, even when certain tasks are automated.
This is where the conversation connects to something I have studied for years. When people feel uncertain or unclear about their role, curiosity tends to drop and protection tends to increase. Instead of exploring, they focus on staying safe, which changes how they approach their work.
How Has The Role Of HR Changed As Work Has Evolved?
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HR has traditionally been associated with hiring, policies, and processes, but its role has expanded over time. In periods of change, HR often becomes more involved in communication, development, and helping leaders support their teams. That was especially visible in the years following the pandemic.
As organizations shift toward AI and efficiency, the role of HR appears to be adjusting again. Some responsibilities are being automated, while others are being redistributed across leadership teams. In some cases, HR is being asked to take on a more strategic role with fewer resources.
What is changing is not just what HR does, but how it is positioned within the organization. The emphasis seems to be moving from broad support to more targeted involvement, often tied closely to business outcomes and technology adoption.
How Are Leaders Rethinking Support As AI Expands?
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Leaders are making decisions in an environment that looks very different from just a few years ago. There is more focus on efficiency, speed, and measurable outcomes, which naturally leads to investment in technology. At the same time, expectations for employees continue to increase as roles evolve.
This creates a situation where support looks different than it did just a few years ago. Instead of large-scale initiatives, organizations may be looking for more focused ways to help employees adapt, learn, and perform. That can impact how teams are structured, how development is delivered, and how communication occurs.
From what I see, the conversation is changing from broad investment in HR to more selective investment in specific capabilities. That change reflects a change in priorities rather than a simple reduction.
What Has Changed In How Organizations Approach AI, People, And Performance?
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Organizations have always balanced people and performance, but the way they approach that balance continues to evolve. With AI playing a larger role, there is more emphasis on productivity, data, and efficiency. Those elements are becoming a big part of how success is measured.
At the same time, the human side of work is still present, even if it is being approached differently. Employees are still navigating change, still building relationships, and still figuring out how they add value in a changing environment. That part of work has not disappeared, even if it is being discussed less often.
What has changed is how these two sides are being managed together. Technology is taking on a larger share of the operational work, while people are being asked to handle more of the interpretive and relational aspects. That creates a different dynamic than what many organizations were dealing with just a few years ago.
What Does This Change In HR And AI Mean For The Future Of Work?
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When I step back and look at the bigger picture, what stands out to me is how quickly the conversation has moved. Not long ago, the focus was on helping people navigate disruption and uncertainty. Now the focus is more centered on efficiency, systems, and how technology can change the dynamic of work. That does not mean one approach is right and the other is wrong. But the priorities have changed, and organizations are responding to a different set of pressures. Understanding that change helps explain why decisions around AI and HR look different today. What will be interesting to watch next is how organizations balance these priorities over time, especially as expectations for employees continue to evolve alongside AI. The way leaders respond to that will shape how work is experienced going forward, including how employees interpret their roles, how they stay engaged, and how organizations define performance in an AI-driven environment.
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