AI strategy for HR: from pilot projects to a board-level mandate
In 2020 our analytics showed that AI in HR was still largely an experimentation story. A chatbot for benefits questions here, a resume-screening pilot there, a handful of vendors pitching AI features bolted onto existing HCM platforms. It was interesting, but it was optional. Something innovation-minded HR teams explored on the side while the core operating model stayed largely untouched.
However, since 2025 we’ve tracked AI strategy for HR as one of the fastest-climbing items on the modern CHRO agenda, and the reason isn't that the technology suddenly got more interesting. It's that the question has changed. CHROs are no longer being asked whether they're experimenting with AI. They're being asked, often directly by their CEO or board, what their point of view is on how AI changes HR itself, as an operating model, not just as a set of tools HR distributes to everyone else.
That's a fundamentally different mandate, and it's forcing CHROs to engage with AI at a level of seriousness the function hasn't previously had to sustain.
Two very different questions for HR AI, often conflated
Part of what makes this mandate hard is that it actually contains two distinct strategic questions, and organizations that conflate them tend to produce shallow answers to both.
The first question is how AI changes the workforce the organization employs. How work gets automated or augmented across the business, what new skills become necessary, how roles evolve as AI takes on a growing share of specific tasks. This is the question most “AI in the workplace” conversations default to, and it's genuinely important. But it's fundamentally a question about the workforce HR serves, not about HR itself.
The second question, the one now landing squarely on the CHRO's desk, is how AI changes HR's own operating model. Which HR functions can be meaningfully automated or augmented? How case management, policy administration, and even elements of talent decision-making change when AI can handle a growing share of what used to require a human specialist? Is the traditional Ulrich three pillar structure (HR Business Partners, Centers of Expertise, Shared Services) even the right architecture once significant portions of the work inside each pillar can be done differently?
Boards asking for "HR's AI strategy" are increasingly asking about both, but the second question is the one CHROs are least prepared for, because it requires turning the analytical lens inward on their own function rather than outward on the rest of the business.
A further difficulty for CHRO’s is that so much time and money has been spent on recent and current functional transformation projects. But we know that most of those didn’t factor AI as a key part of those changes. Had CHRO’s used that perfect opportunity to master AI within their own function, they could right now have been confidently leading the rest of the organization through their AI journey with a first-hand understanding of pitfalls and compliance risks, instead of scrambling to get their own HR “house in order” for AI applications.
What this looks like in practice
For CHROs actually doing this work rather than just discussing it, three concrete threads tend to dominate.
Rethinking which HR functions can be automated or augmented.
This isn't a blanket automation exercise but a deliberate, function-by-function assessment. Some transactional work in Shared Services is a natural fit for automation with relatively low risk. Some judgment-heavy work in Employee Relations or complex talent decisions is a much poorer fit, at least without careful human oversight built into the process. The organizations doing this well are resisting the temptation to apply AI uniformly across HR and instead building a genuine capability map: what should be automated, what should be augmented with a human still firmly in the loop, and what should stay fully human-led for now.
Building a "now-next" talent strategy for a blended workforce.
As AI takes on a growing share of specific tasks, the workforce itself becomes a genuine blend of human and AI-driven work. Not a “future state” but a present one in many functions. This requires talent strategy that explicitly accounts for that blend: what skills the human workforce needs to develop to work effectively alongside AI, how roles are being redesigned as certain tasks shift to AI-augmented workflows, and how to sequence this transition responsibly rather than either freezing in place or moving faster than the organization can actually absorb.
Reassessing how much of the three-pillar model needs AI-native redesign.
As part of a broader shift toward a more fluid, intelligence-driven HR ecosystem, AI isn't just a tool layered onto the existing HRBP, Center of Expertise, and Shared Services structure. It's changing what each pillar is fundamentally for. CHROs are increasingly having to decide how much of that redesign to pursue now versus incrementally, and how to sequence it without destabilizing service delivery in the process.
None of these threads are abstract technology questions. They are operating model, workforce planning, and change management questions that happen to have AI as the catalyst.
Why this is a CHRO leadership challenge, not a technical one
One of the more consistent observations from CHROs furthest along in this work is that the hard part isn't the technology. Most of the AI tools relevant to HR are increasingly mature, well-documented, and supported by a growing ecosystem of vendors happy to handle implementation. The hard part is leadership: deciding where to focus, building organizational trust in how AI is being used, and managing the very real anxiety AI raises among HR's own workforce about their own roles.
The organizations succeeding at this aren't the ones running the most AI pilots. Pilots are relatively easy to launch and, on their own, tend to produce interesting but disconnected proofs of concept that never quite make it into how the organization actually operates day to day. The organizations pulling ahead are doing something narrower and harder: identifying specific, real business problems e.g.: a bottleneck in case resolution time, a persistent gap in workforce planning accuracy, a service experience that's been underperforming for years. It’s been about applying AI deliberately to solve that specific problem, then learning honestly from what worked and what didn't.
This distinction matters because it changes what CHROs should actually be spending their time on. Less time evaluating AI capabilities in the abstract or benchmarking how many pilots peer organizations are running. More time doing the leadership work: setting clear priorities about which problems matter most, building the change management and communication that helps HR's own workforce trust and adopt new ways of working, and creating structured ways to learn from peers who are further along solving similar specific problems.
Is there a trust problem underneath the technology problem?
There's a dimension to this that's easy to overlook. HR is being asked to support AI-driven transformation across the business while simultaneously undergoing that same transformation for its own function. That dual position creates a credibility test. An HR function that talks confidently about AI-driven change management for the rest of the organization, while visibly resisting or mishandling that same change internally, undermines its own authority to lead the conversation at all.
This is part of why the CHROs treating this well emphasize transparency about what's actually changing inside HR. They are sharing which roles and processes are being reshaped, how decisions are being made, what safeguards exist; rather than treating HR's own AI adoption as an internal matter separate from the AI strategy conversation happening with the rest of the business. Employees, and HR's own team members, are watching how HR handles this for itself as a signal of how seriously to take everything else HR says about AI and change.
5 tips on how CHRO’s should be treating this as the leadership challenge it is.
Start with real business problems, not technology capability.
The organizations making genuine progress are working backward from a specific, well-defined operational problem — not forward from "what can this AI tool do." If a CHRO can't name the specific business problem an AI initiative is meant to solve, that's a signal to slow down and clarify before investing further.
Build the capability map explicitly, rather than deciding case by case.
Function-by-function judgment about what should be automated, augmented, or kept fully human-led shouldn't happen ad hoc as individual questions arise. It benefits from being done deliberately, as a structured exercise, so decisions are consistent and defensible rather than reactive.
Treat internal AI adoption as change management, not just implementation.
The technical rollout of an AI tool inside HR is the easy part. The harder and more consequential part is the same change management discipline HR would apply to any other significant transformation, namely clear communication, genuine involvement of the people affected, and honest acknowledgment of what's uncertain.
Invest in peer learning deliberately.
Because this is new terrain for almost every CHRO, structured learning from peers who are solving similar specific problems is disproportionately valuable right now. More valuable, in many cases, than additional vendor evaluation or advice from external “expert” consultants or internal analysis alone.
Be prepared to answer the board's question directly.
Given that this mandate is increasingly coming straight from the CEO and board, CHROs need a genuine, specific point of view ready. You’ll not inspire confidence with a general statement of enthusiasm about AI's potential, when your leaders want a clear articulation of what's changing in HR's own operating model, why, and what the sequencing looks like.
Why has the AI priority climbed so fast?
Historically, most CHRO priorities have moved gradually, tracking incremental shifts in business conditions. AI strategy for HR is climbing fast because it isn't following that gradual pattern. It is being pulled upward by external pressure from CEOs and boards who are themselves under pressure to demonstrate a coherent AI strategy across the entire enterprise, HR included.
That pressure means this isn't a priority CHROs can choose to deprioritize based on their own internal readiness assessment. It's arriving on their desks regardless, which is exactly why this is a leadership challenge for CHROs. Real time pressure, multi stakeholder demands, and a clear risk to internal credibility. The CHRO’s who are already getting AI in hand are noticeably pulling ahead of those still treating AI as a technology evaluation exercise to be delegated downward.
At Carter Morris, we specialize in identifying, assessing and securing commercially minded HR leaders with advanced understanding and practical experience in navigating AI challenges. If you’re questioning whether your current team has the level of expertise needed to rapidly progress your AI journey without wasting time, money and credibility along the way, you’re welcome to contact me for a confidential conversation about the kinds of professionals who could add immediate value with their AI knowledge.
About the Author
Tracey Thompson is well regarded within the industry for her ability to source and engage high performance HR talent. Over many years she has built a well deserved reputation for her uncanny ability to access proverbial “purple squirrel” HR specialists and as a result, is looked to as a global sourcing subject matter expert.