HR is evolving rapidly, growing around 60% faster than the overall workforce. With more than 250 job titles and nearly a hundred capabilities now in play, both HR teams and business leaders feel the weight of that expansion. As a result, there is now a clear appetite to simplify, rationalize and rebuild HR structures for a world that looks nothing like it did 10 years ago.
The evolution and fragmentation of AI
As AI tools accelerate, the market is diverging into consumer and enterprise-level solutions—each with different needs. Today, many organizations don’t realize they’re using consumer tools in corporate settings, trying to improve HR by giving each individual a “copilot.”
Already, the sheer number of available AI agents is creating fragmentation, and new interoperability standards are not yet complete. This architectural challenge is one of the big reasons the industry is now moving toward more unified, workflow-level automation.
The new model we’re moving to in 2026 is from agents to “superagents,” who run entire workflows end-to-end. These applications, which can now be built by HR and IT professionals, form the new foundation of what we call “systemic HR.” In other words, all the HR processes can finally interoperate together.
While this market is young, we already have clients delivering a single chat interface to many categories of employees, and then delivering agents behind this interface. Possibilities in global onboarding, high-volume recruiting, talent or employee mobility, and benefits administration offer example superagent use cases.
This year in HR, processes from hiring and onboarding to learning will move from task-level automation to full process automation, fundamentally transforming the whole HR operating model.
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New challenges for CHROs with AI in 2026
As this new world emerges, hard questions about AI ROI are being asked. For most of 2025, the “AI in the workplace”’ conversation has focused on individual productivity, or what we have identified as the “superworker” model. Tools like copilots help employees work faster, but the ROI is elusive; speed-reading emails doesn’t automatically translate into business value.
Infrastructure costs for AI are rising in 2026, whilst large AI vendors are piling up debt and now realizing the massive cost of their solutions. So, vendors are shifting toward consumption-based pricing—you won’t be licensing AI by the user, but rather by the token. This means organizations will start feeling financial pressure to justify every AI-generated document or analysis, which forces us to take a harder look at what truly creates value.
As vendors experiment wildly and buyers try to make sense of it all, the next couple of quarters could be somewhat chaotic. CHROs should anchor their decisions in holistic agent use cases and push vendors to deliver full outcomes, not isolated tools.
Staying ahead of the field
AI has created extreme differences in contribution levels across roles, especially in technical fields, in ways traditional talent management systems cannot capture. Bell curves and five-point ratings don’t make sense when one exceptional engineer can deliver 10 times the output of an average colleague. A more effective approach is a “talent density” model that recognizes, supports and leverages these outliers instead of forcing everyone into outdated frameworks.
That means that HR must now pivot into a far more strategic, consultative role, one that’s focused on helping the business adopt and scale AI agents. To be clear, this does not mean eliminating the human focus of HR; it’s more about gaining a new, additional core to their role that’s just as important. Of course, that will require a delicate balance.
This is an opportunity unlike anything HR has seen—far bigger than cloud or mobile— because AI changes how work itself is structured. Done well, HR can reposition itself as a central architect of the future organization. Done poorly or not attempted, the CEO may assume they can get AI to do it for them.
As all this takes place, people are anxious. Many employees feel unprepared or fear being replaced—largely because too many short-sighted leaders still treat AI as a cost-cutting tool. But AI isn’t about shrinking headcount; it’s about scaling capability. Even in highly automated environments, the workforce hasn’t disappeared; it’s becoming far more effective.
In 2026 and beyond, HR’s real responsibility is to upskill people, prioritize investments and give the company confidence that we can all reinvent our jobs in the world of enterprise AI.
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