A Workforce That No Longer Grows, and 25% Productivity

The argument starts from the reality that the pool of workers is no longer expanding. By the company's estimate, the US labor force will grow only about 3.5% over the next decade, and companies will need roughly a 25% productivity improvement just to keep pace with the economy at today's rates. HR 2030 is about rebuilding what HR looks like on the premise that the era of solving problems with headcount is over.

Josh Bersin stresses that this is an “operating model,” not a product. “By 2030, HR will look less like a service function and more like an operating system for business growth,” he says, cautioning that it will look nothing like the HR department most people know.

Superworkers, Supermanagers, and Superagents

At the center of this model sit three roles: the “Superworker,” who delegates work to AI agents to deliver value that would be impossible alone; the “Supermanager,” who orchestrates both people and agents; and the “Superagent,” which learns the company's history, culture, and patterns of success to guide — and even execute — decisions on hiring, transfers, and compensation.

The HR function itself is set to become smaller and flatter, with its job families reorganized from 12 domains into 6. Required skills will shift toward data literacy, hands-on AI fluency, and business acumen, and HR and IT will jointly own the overall technology roadmap and its governance. HR's mission will be replaced — from the traditional “all things people” to “dynamic enablement of growth.”

Getting Started: Find Four Entry Points with a Matrix, Then Move in Three Phases

The playbook begins by placing HR functions on a two-axis matrix. It distinguishes where human headcount is currently sunk and where AI has the greatest room to grow, and selects four areas as the entry points for transformation: (1) HR service delivery, (2) HR business partner support, (3) recruiting and internal mobility, and (4) enterprise-wide learning and capability development. Compensation and talent management are grafted on later.

The approach moves in three phases: first, invest in a common agent foundation and pilot it across the four areas. Next, wire the wins into larger systems — recruiting feeding into individually optimized learning, for example. Finally, expand into dynamic planning that senses market shifts and re-composes people and agents “in days, not quarters.”

What the playbook warns against again and again is the reckless mass production of agents. The authors argue that if disconnected tools are scattered across every department, HR in 2030 will end up as nothing more than a “faster, more expensive version” of today's bureaucracy.

The Metrics Get Replaced Too

Efficiency yardsticks such as cost per hire, time to fill, and headcount ratios will give way to yardsticks of growth. Revenue per employee, the speed at which capability reaches the front line, time to market, and capacity freed up for high-value work — in HR 2030, these become HR's report card.

The outlook cuts both ways. Companies that redraw their org charts around agent capabilities can double revenue per employee within five to seven years; those that fail will simply be left holding a faster, costlier bureaucracy. CHROs, it is argued, will be placed at the very center of this shift, charged with organizing workplaces where employees, temporary staff, contractors, and agents all mix.

この特集を閉じる3つの問い

  • When HR departments in Japan draw up this matrix for their own organizations, which four areas will they choose first?
  • When agents are assembled as a “foundation” rather than bought as “tools,” who will make the initial investment decision, and how?
  • When revenue per employee becomes HR's report card, what will HR let go of, and what will it take on anew?
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