Amid AI transformation, much of the responsibility is being placed on people leaders and they need the resources and support to manage it.
By Julie Pridham
When organizations adopt AI, the announcements typically highlight efficiency gains and competitive advantages. What rarely makes the memo is who will manage the human side of this transformation. Increasingly, that responsibility falls to HR—often without additional resources, formal training, or even explicit acknowledgment.
This isn’t a temporary adjustment period. It’s a fundamental expansion of HR’s role, and one that’s happening whether organizations realize it or not.
HR has become the de facto governance owner of workplace AI, often by default rather than design. When employees ask if they can use generative AI to draft performance reviews, or when a manager wants to implement an AI scheduling tool, someone needs to define what’s appropriate and what isn’t. That someone is usually HR.
HR leaders are now arbiters of appropriate versus inappropriate AI use without clear precedent to guide them. They’re defining ethical boundaries for AI in hiring, performance management, surveillance, and productivity, often with limited training, constrained budgets, and no clear cross-functional ownership.
Meanwhile, regulatory whiplash compounds the challenge. State-by-state AI and employment regulations continue to emerge with little consistency. HR must assess legal exposure when AI influences performance reviews, discipline, or termination—and document human oversight to mitigate algorithmic risk—all while the regulatory ground shifts beneath them.
The intersection of HR and IT is no longer optional. HR is now evaluating AI tools not just for employee experience, but for data privacy, security risk, and employee consent.
Shadow AI has become a real concern. Employees are using unapproved tools outside sanctioned systems, often with good intentions but without understanding the risks. HR must partner with IT to prevent sensitive employee or company data from leaking through well-intentioned but unsanctioned AI use. This requires fluency in areas that traditionally sat outside HR’s domain and collaboration with teams they may have only occasionally intersected with before.
Perhaps the most understated aspect of HR’s expanded role is the continuous change management that AI adoption requires. This isn’t a one-time initiative with a defined endpoint.
HR is translating rapid AI adoption into human-centered workflows while managing fear, uncertainty, and reskilling expectations simultaneously. HR serves as cultural stabilizers while technology evolves faster than policy can keep pace.
The invisible education work is substantial. HR teaches leaders what AI can and cannot responsibly do. They reframe AI as an augmentation tool rather than a replacement for human judgement. They continuously update policies as both technology and laws shift. This translation work—converting technical capabilities into legally and ethically defensible practices—falls squarely on HR’s shoulder.
When AI outputs go wrong, whether through biased recommendations, inaccurate assessments, or poorly explained decisions, HR absorbs the accountability. People leaders explain algorithmic outcomes to employees who understandably want to know why a decision was made. They carry the emotional and reputational weight when those expectations fall short.
HR is being asked to balance employee well-being with efficiency mandates and cost pressures. They support psychological safety amid fears of replacement and cost pressures. They address burnout created by an always-on AI-enabled productivity expectations.
HR leaders carry the emotional and reputational weight of headcount reductions tied to AI—making human-impact decisions while the data on AI’s actual effectiveness remains inconclusive. They support remaining employees through trust erosion and morale challenges. This people-first stewardship is essential, but it’s rarely acknowledged in discussions of AI’s organizational benefits.
The path forward requires recognizing HR’s expanded role and resourcing it appropriately. HR should have a seat at the table when AI deployment decisions are made, rather than being informed after the fact. They’re the ones who will manage the workforce implications, and they should be part of the planning.
The intersection of HR and IT should be explicitly acknowledged with shared accountability and resources. This work shouldn’t default to HR simply because no one else claimed it.
AI adoption will continue to accelerate. Organizations that succeed will be those that recognize the invisible workload it creates—and ensure that HR, the function tasked with protecting employee dignity while enabling innovation, has the authority and resources to fulfill that responsibility.
The alternative—expecting HR to absorb this expanding role without acknowledgment or support—is neither sustainable nor fair. It’s time to make the invisible visible.
Julie Pridham is vice president of people operations at Valimail.
