Employee experience strategy has always been shaped by how people feel about their work. But in 2026, the question is no longer whether your organisation offers a good employee experience. The question is whether your employee experience strategy accounts for the fact that AI is quietly rewriting the nature of work itself — the tasks people perform, the decisions they make, the skills they need, and the trust they place in the systems around them.
Most large enterprises have adopted AI in some form. Few have reckoned with what that adoption means for the people doing the work. There is a growing gap between the pace of technology implementation and the pace at which employees are brought along. And that gap is where engagement erodes, trust breaks down, and transformation stalls.
For CHROs and CPOs sitting at the intersection of business strategy and people strategy, this is not a technology question. It is an organisational design challenge with the employee experience at its centre.
The Board-Level Business Case for Rethinking Employee Experience Strategy
The temptation in many executive teams is to treat employee experience as a downstream concern — something that HR manages through engagement surveys, benefits packages, and internal communications. That framing was already insufficient before AI. Now, it is dangerously outdated.
AI is not simply a productivity tool being layered onto existing workflows. It is reshaping the architecture of work: which tasks are automated, how decisions are made, what constitutes valuable human contribution, and how performance is measured. McKinsey Global Institute research estimates that up to 30 percent of current hours worked in the US and Europe could be automated in a midpoint adoption scenario by 2030, accelerated by generative AI. When work changes this fundamentally, the experience of work changes too — whether organisations manage that transition deliberately or not.
Why AI Adoption Without Work Redesign Undermines the Employee Experience
Many organisations remain stuck in what might be called the pilot phase of AI — running experiments, deploying tools, measuring adoption rates. But adoption is not the same as integration. Employees may use AI tools without those tools being meaningfully embedded in redesigned workflows. The result is friction: duplicate processes, unclear accountability, and the cognitive load of navigating old and new ways of working simultaneously.
This is a distinction that Christine Kirbach, Chief Human Resources Officer at Elektrobit, has been particularly direct about. Kirbach frames AI not as a technology implementation but as an organisational design challenge — one where the path from AI investment to measurable performance runs through the employee experience. Her focus on reducing complexity by redesigning work, shifting from adoption to genuine workflow integration, and positioning HR at the centre of transformation reflects a growing recognition among CHROs that AI only delivers results when collaboration, trust, skills, and employee agency are deliberately built into how work is structured.
Building Trust When AI Reshapes Roles, Decisions, and Daily Work
Employees across most industries report uncertainty about what AI means for their roles, their career trajectories, and their value to the organisation. In US organisations where AI has been implemented, nearly a quarter of employees believe their job is likely to be eliminated within five years, rising to nearly a third in sectors like finance and technology. This is not resistance to technology — it is a rational response to ambiguity. And no employee experience strategy can afford to leave it unaddressed.
What does transparent transformation actually look like when AI is reshaping tasks, decisions, and the everyday feel of work? Katalin Biro, Head of People and Culture Europe at Tesa, emphasises human-centred design and capability building as the foundation for trust. Biro argues that inclusion must be non-negotiable — engaging diverse voices and multigenerational needs rather than treating transformation as a uniform rollout. Employees need more than technology: they need clarity about what is changing, autonomy over how they adapt, access to meaningful learning pathways, and confidence that outcomes will be fair. The leadership behaviours and governance structures that build genuine belief in the changes ahead matter more than the sophistication of the tools being deployed.
Anchoring Purpose and Meaning in an AI-Driven Workplace
As AI reshapes how work gets done, a deeper question is surfacing across organisations: does my work still matter? When roles shift, tasks are reassigned to algorithms, and the boundaries of human contribution become less clear, employees look for something to anchor their commitment to. That anchor, increasingly, is purpose.
Teresa Coelho, Global People and Sustainability Officer at Accumin, is navigating precisely this terrain. Drawing on over 25 years of international experience across finance, retail, e-commerce, and insurance, Coelho is exploring how HR leaders can keep purpose at the centre of the employee experience even as AI redefines roles and responsibilities. Alongside Inga Staniune, CHRO at Avia Solutions Group, and Clemence Jacqueri, Head of People at IMC, she is examining how AI can be used to personalise growth and development rather than standardise it — and what human-centred leadership looks like when the pace of technological change outstrips the ability to prepare people for it. Their shared perspective moves beyond fear and resistance toward building workplaces where people and AI genuinely thrive together.
What Senior HR Leaders Should Reconsider Now
The patterns above carry specific implications for how CHROs think about their role, their operating models, and their priorities.
Employee experience has historically lived within a framework of engagement — surveys, sentiment, satisfaction scores. These remain useful signals, but they are lagging indicators. Leaders like Elizabeth Phillips, Vice President and Director of Human Resources and Administration at MERL, are reframing the conversation by positioning employee experience not as a response to AI adoption, but as the lens through which all AI-driven change must be evaluated. That shift — from reactive measurement to proactive design — is what distinguishes organisations that will navigate this transition well from those that will struggle.
The Conversation Continues in Porto
These questions — how to build trust during AI-driven transformation, how to redesign work around the employee experience, how to equip managers for a fundamentally different leadership challenge, and how to anchor purpose in an era of algorithmic change — will be explored further during a dedicated elective track at the HR World Summit in Porto on 26–27 May 2026.
The track, Navigating Employee Experience in the Age of AI, brings together senior HR leaders from organisations including Elektrobit, tesa, Accumin, Avia Solutions Group, IMC, and MERL to exchange perspectives on what it takes to build an employee experience strategy that holds up when AI is no longer a future consideration but a present reality.
For CHROs looking to benchmark their approach, stress-test their assumptions, and learn from peers navigating similar complexity, it offers a focused space for the kind of candid, practitioner-led dialogue that this topic demands.
