Driven by the rise of agentic AI, HR is entering its most significant transformation in decades.
By 2030, we expect HR to evolve from its still largely transactional support function into a much more dynamic business operating system.
Soon, AI agents and indeed families of such agents operating as ‘Superagents’ will proactively detect workforce and operational risks such as retention issues, leadership changes or performance problems and immediately assemble the most appropriate and effective HR and business expertise to respond.
HR 2030 is on the horizon
In this move, which we call HR 2030, we expect AI to enhance 60 per cent of roles. The number of HR Business Partners could go up by four full percentage points, to 21 per cent of all HR positions (making them the largest job group in HR).
With these technologies, all roles, even those not radically reinvented by agentic AI, can be done more effectively, further streamlining operations and elevating the HR function.
Our analysis suggests the introduction of agentic AI will displace 13 per cent of today’s HR roles. This could result in an HR function headcount reduction of at least 30 (and more likely 50 per cent) by 2030.
As such, the CEO and CFO can also now expect their HR team to realistically be budgeted to deliver equivalent or greater value with closer to half their size by 2030.
Our analysis suggests the introduction of agentic AI will displace 13 per cent of today’s HR roles
A conscious, careful structural reshaping of HR
Our study indicates that this reduction in headcount is largely because agentic AI will take over much of the administrative and transactional workload. For example, HR service delivery, talent acquisition and learning operations and other operational work through agents and Superagents.
Cost-cutting isn’t the big opportunity. It’s improving the performance and contribution of every employee. This necessitates a fundamental redesign of workflows.
The embrace of agentic AI won’t deliver for enterprises if approached simply as downsizing. A conscious, careful structural reshaping of HR away from administrative processing and toward higher-value, AI-enabled strategic roles will be required.
Today, HR leaders must start rethinking how HR is designed, where work happens and what outcomes it is meant to deliver.
AI as an enabler
The key thought here must always be that AI is an enabler of business strategy, not the strategy itself. So, focus on workflow redesign before role or job redesign, reimagining HR processes around outcomes rather than incremental automation.
This should mean eliminating manual steps, starting with high-impact domains like talent acquisition, HR operations, L&D and total rewards. The leaders we work with agree that’s where AI is already delivering both significant productivity gains and meaningful business value.
Meanwhile, lost roles could be reassigned if HR leaders build new skills in data, AI fluency, systems thinking and business, while also investing in emerging roles such as AI agent orchestration, data governance and AI ethics.
Headcount reduction can be managed thoughtfully and judiciously by reskilling employees and building alternative career pathways in, and outside of, HR.
Today, HR leaders must start rethinking how HR is designed, where work happens and what outcomes it is meant to deliver
What exactly are the roles where AI has the biggest potential?
In essence, it’s the roles that centre on transactional, process-heavy work. HR Service Centers have large volumes of work involving repeatable transactions. For example, answering employee queries, processing HR tickets, managing case routing and handling administrative support tasks.
IBM, for example, has implemented AskHR. This is an end-to-end employee services superagent performing 11.5 million transactions per year and increasing employee net promoter score from a staggering -35 in 2018 to +74 now.
A second area of identified AI opportunity is Talent Acquisition (TA) work. Especially recruiting coordination and scheduling.
Conversational AI and recruiting agents can take over sourcing, screening, scheduling interviews and candidate communication.
This means the reduction or elimination of recruiting coordinators and similar operational TA roles in many workflows, especially for frontline roles, while significantly increasing candidate satisfaction and recruiting effectiveness.
Costa Coffee, for example, gives all applicants for barista jobs a 15-minute conversational AI interview on behavioural skills like dealing with stress or customer orientation. This is part of a screening process before successful candidates then advance to an interview with a person.
Before this, most candidates didn’t get any sort of interview. There are just not enough hours in the day to do so many human interviews. Now, nine out of 10 candidates report finding this process enjoyable and worthwhile and new hires stay longer with the company and perform better due to the advanced screening.
In essence, if the process involves routine, administrative or high-volume work a computer could do, then prepare for a future where AI is handling that process (about 13 per cent of HR roles fall into that category). For work where AI-generated insights will be useful, AI will elevate the role (60 per cent of HR roles). AI will streamline the process, dramatically changing some roles (27 per cent of roles).
How can HR leaders prepare their teams?
The skills that matter most in the HR 2030 vision will be those that enable people to design, govern and interpret agentic systems, rather than perform the transactional work those systems are increasingly handling.
Generally these skills include:
- Power skills (human judgment capabilities)
Think leadership, consulting, coaching, communication, critical thinking and influence, which become more important as automation handles execution.
- Systems thinking
The ability to understand how HR domains like talent, rewards, learning, etc. connect as an integrated system rather than siloed processes. - Business acumen
shifting from HR process expertise to understanding business strategy, performance drivers and value creation.
- Data literacy and analytics fluency
HR professionals need to interpret workforce data, understand patterns in turnover, performance and skills gaps and connect them to business outcomes in real time. - AI fluency and agent understanding
It’s not just using AI tools, but knowing how to design, tune and work alongside agents and Superagents that support executive HR workflows. - Ethics, governance, and responsible AI judgment
Ensuring fairness, compliance, bias monitoring and appropriate use of employee data and algorithmic decision-making. - HR product and experience design
Shaping employee-facing Superagent experiences and translating business needs into workflows and systems.
Any leader in this space must stop thinking about upleveling HR for the AI age in terms of upskilling for AI tools. But instead about rebuilding HR as a capability system where humans focus on judgment, design, governance and business impact, while agents handle execution.
If you enjoyed this article, read: AI isn’t the problem with your hiring process. Your silence is.
