From co-pilots to superagents: HR’s 2026 shift

HR is evolving rapidly, growing at a rate 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, rationalise 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 organisations do not realise they are using consumer tools in corporate settings, trying to improve HR by giving each individual a “co-pilot.”

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 towards more unified, workflow-level automation.

The new model we are 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 employee categories and then assigning agents behind this interface. Possibilities in global onboarding, high-volume recruiting, talent or employee mobility, and benefits administration provide examples of 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 HR operating model.

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 co-pilots help employees work faster, but the ROI is elusive; speed-reading emails does not automatically translate into business value.

Infrastructure costs for AI are rising in 2026, whilst large AI vendors are piling up debt and now realising the massive cost of their solutions. So, vendors are shifting towards consumption-based pricing—you would not be licensing AI by the user, but rather by the token. This means organisations will start to feel financial pressure to justify every AI-generated document or analysis, forcing 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 significant differences in contribution levels across roles, especially in technical fields, that traditional talent management systems cannot capture. Bell curves and five-point ratings do not 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 recognises, supports, and leverages these outliners rather than forcing everyone into outdated frameworks.

READ MORE: The superworker organisation: Why HR must redesign work, not just adopt AI

That means HR must now pivot into a far more strategic, consultative role, focused on helping the organisation adopt and scale AI agents. To be clear, this does not mean eliminating the human focus of HR; it is more about gaining a new, additional core to their role that is 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 organisation. 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 is not about shrinking headcount; it is about scaling capability. Even in highly automated environments, the workforce has not disappeared; it is becoming far more effective.

In 2026 and beyond, HR’s real responsibility is to upskill people, prioritise investments and give the organisation confidence that we can all reinvent our jobs in the world of enterprise AI.

About the Author:

Josh Bersin is an analyst, author, educator and thought leader focusing on the global talent market and the challenges and trends impacting business workforces around the world. This article was first published on HR Executive.