Part 3 || What This Means For HR & Talent: From Activity To Outcomes

Part 3 of a four-part series on the forces reshaping work — and the operating models built to survive them.

People have become the biggest investment line in most organisations — and the least rigorously managed. HR sits at the centre of that contradiction. The function built to steward talent is still running on a programme-centric, employee-only architecture, while the workforce it’s meant to manage has expanded into a sprawling ecosystem of employees, contractors, consultants, gig workers, interim specialists, shared services hubs, BPO teams, automation, and AI agents.

That expansion isn’t a footnote. It changes the maths.

And it’s happening while the employment deal is being repriced by the same three forces described in Part 1: a trust recession, a skills mismatch, and AI-driven repricing of work itself. If those forces are altering how long people stay, what skills are scarce, and what tasks are worth paying humans to do — then HR’s operating model can’t stay frozen in an era of stable roles and predictable careers.

This isn’t an HR issue. It’s business continuity.

The uncomfortable truth: HR is managing “people”, but not the workforce

Most HR functions still behave as if the workforce equals employees. That was barely defensible ten years ago. It’s indefensible now.

The organisation’s capacity is being delivered across multiple labour models — many of which sit outside HR’s traditional line of sight. Meanwhile, leadership teams keep asking HR to solve enterprise problems (productivity, capability, retention, cost leverage, execution risk) using tools built for a narrower mandate (programmes, engagement, compliance, HR service delivery).

The result is what we see everywhere: well-run initiatives that don’t add up to enterprise performance.

The centre of gravity has shifted. HR can no longer be a programme operator. It has to become an outcomes owner.

Why the COE + HRBP model breaks in a total workforce world

The traditional model — centres of excellence (COEs) designing “best practice” programmes and HR business partners (HRBPs) advising business leaders — assumes two things:

1. HR has clear ownership of the workforce it’s shaping.

2. The levers HR pulls meaningfully control the cost and output of labour.

In a total workforce world, both assumptions fail.

• COEs optimise programmes for employees while a growing share of output is delivered by non-employee labour, outsourced operations, automation, and AI agents. The “talent strategy” becomes incomplete by design.

• HRBPs often sit too close to line leadership to challenge fundamental workforce assumptions — especially when the real spend and risk are distributed across procurement, finance, operations, and technology.

Most importantly: the HRBP model is structured for “partnering”, not governance. But the total workforce requires enterprise decision rights, thresholds, and portfolio trade-offs — the kinds of mechanisms organisations typically reserve for capital allocation and vendor spend.

That’s why HR can’t “partner” its way out of this. It needs a new operating system.

The new HR operating system.

This is not about a reorg or a new HR tech platform. It’s a shift in how workforce decisions are governed.

Here’s the operating system in four parts:

1) TCOW visibility (Total Cost of Work)

Not cost of employees — cost of outcomes across the full workforce portfolio. That means visibility into: permanent labour, contingent labour, outsourced services, shared services, overtime, backfill, vacancy drift, learning investment, management time, tool sprawl, and the hidden “shadow labour” created by inefficiency.

2) Workforce portfolio governance

Workforce sourcing is no longer just a hiring decision. It’s an allocation decision across labour models — and it should be governed like one. What work should be done by employees? What belongs in BPO/shared services? What should be automated? What should be handled by AI agents? What must remain human for risk, judgement, customer value, or regulatory reasons?

3) ROT (Return on Talent)

The board doesn’t need another engagement score. It needs a line of sight from workforce investment to outcomes: productivity, quality, speed, retention in critical roles, risk reduction, and margin.

4) Dynamic capability enablement

Skills can no longer be treated as a library of courses and a yearly planning cycle. Capability has to be built and refreshed continuously — embedded in work, accelerated by AI, and governed as an enterprise performance engine.

This is the pivot: from “HR programmes” to “workforce performance”.

Three vignettes that show where this is heading

VIGNETTE 1 — AI blows up the learning industrial complex

Josh Bersin, “New Research: How AI Transforms $400 Billion of Corporate Learning” (February 2026).

Bersin’s research lands like a blunt instrument: organisations spend roughly $400 billion on corporate learning, yet most still struggle to keep pace with shifting skill demands. The reason isn’t that L&D teams are lazy or under-skilled. It’s that the learning model was built for a world of stable roles, slow change, and centralised content production — and AI has just changed the physics.

Bersin argues that the real problem isn’t “training”. It’s dynamic enablement: getting relevant knowledge, guidance, and practice into the flow of work fast enough to matter. AI-native learning platforms can generate and refresh content dynamically, personalise pathways, and connect learning directly to real work tasks — not as an event, but as an always-on capability layer.

For HR, this forces a governance question, not a content question: if AI can compress content creation cycles and embed enablement into workflows, why is learning still organised like a publishing business?

This aligns directly with the new HR operating system:

• TCOW visibility: learning spend isn’t just budgets — it includes time away from work, slow ramp-up, and reliance on expensive external hiring because internal capability can’t move fast enough.

• Workforce portfolio governance: if capability can be built faster internally, the organisation can reduce dependency on contingent labour for skills that should be strategic.

• ROT: the metric isn’t completions; it’s time-to-competency, error reduction, productivity lift, and reduced cost-to-deliver.

• Dynamic capability enablement: learning becomes an embedded performance engine, not a programme library.

The point isn’t “AI makes L&D better.” The point is sharper: AI makes the traditional learning model structurally obsolete. HR can either redesign capability as an operating system, or keep funding a museum.

VIGNETTE 2 — The CHRO of tomorrow: enterprise leadership or bust

i4cp, “The CHRO of Tomorrow: Leading with Strategy, AI, and Enterprise Impact” (January 2026).

i4cp frames the CHRO problem in board-level terms: boards aren’t asking about engagement scores the way they used to. They’re asking whether workforce investment is translating into measurable productivity, resilience, and enterprise readiness — especially as AI changes work design and labour costs continue to surge.

Their core insight is that high-impact CHROs don’t operate as functional leaders managing HR systems. They operate as enterprise leaders: accountable for how work is designed, how capacity is allocated, and how productivity is sustained under continuous change.

That’s a direct indictment of the legacy HR model. A COE can’t answer enterprise questions if it’s optimising programmes in isolation. An HRBP can’t credibly lead the workforce conversation if the true cost and deployment of labour sit across multiple functions and labour models.

The CHRO of tomorrow, in i4cp’s framing, needs three capabilities that map cleanly to the “new operating system”:

• Business judgement at board altitude: framing workforce decisions as margin protection, growth acceleration, and risk trade-offs — not “HR initiatives.”

• Capability and capacity strategy: treating AI as a lens that reveals misallocated work and frees capacity, not a simplistic cost-cutting story.

• Resilience architecture: building leadership and workforce optionality across scenarios, rather than delivering static plans that break when assumptions change.

The message is unmistakable: the CHRO role is being redefined upward. HR doesn’t get to stay in its functional lane. Not if it wants a seat at the table when the table is discussing enterprise survival.

VIGNETTE 3 — Becoming the enterprise CPO: workforce value as a board mandate

Heidrick & Struggles, “Chief people officer focus: 2026 agenda—becoming an enterprise CPO” (February 2026).

Heidrick’s “enterprise CPO” framing is brutally simple: strong HR execution is necessary, but no longer sufficient. CEOs and boards increasingly expect the top people leader to advance core business goals, shape financial outcomes, and act as an enterprise strategist — not merely the head of HR operations.

They define the “enterprise CPO” as someone who can connect workforce decisions to valuation logic: execution certainty, leadership as a material driver of performance, and the ability to sustain capability under rapid change.

The practical takeaway is that HR’s remit is expanding while budgets aren’t. That makes governance non-negotiable. In an environment where labour markets, technology, and business models are shifting at speed, “moderately successful” HR won’t protect enterprise outcomes.

This is the real agenda hiding underneath the buzzwords:

• Establish enterprise-level decision rights for workforce portfolio allocation.

• Build TCOW visibility to expose leakage, duplication, and misallocated work.

• Run workforce strategy like a portfolio, not a set of HR programmes.

• Hold the function accountable for ROT — the return on one of the largest investments the enterprise makes.

Heidrick’s point isn’t that CPOs should become mini-CFOs. It’s that the workforce has become too economically significant — and too structurally complex — to be managed through traditional HR optics alone.

What HR must do now

If HR wants to stay relevant — and stay credible — four actions matter:

1. Build the Talent Ledger (TCOW visibility) across all labour models and AI-enabled work.

2. Create workforce portfolio governance with Finance, Procurement, Operations, and Technology — with explicit decision rights and thresholds.

3. Reframe metrics around ROT, tying workforce investment to productivity, quality, retention in critical roles, and margin outcomes.

4. Redesign capability enablement into an AI-era operating system embedded in work, not a course catalogue.

This isn’t cosmetic. It’s structural. And it’s urgent.

About the Authors:

This workforce management series was developed by Peter Lyall of Ascent Advisory Services and Ed Davis and Kevin Beagley of Agency X, and published in partnership with Strategic.Magazine (Media Partner).

The work was created in cooperation with Malcolm O’Neal — Chief Human Resource Officer and advisor to boards and executive teams in complex, global B2B and B2C companies.