3 minPublished: Sep 10, 2026
ArticleOutcomes-Based Work

Why the Outcomes Economy Changes the Value of Work

AI is changing what work is worth. For decades, hours and roles were useful shorthand for output. That link is weakening. As work moves across people, technology, and external partners, value depends less on effort and more on what the work produces.

Claire Marsh

Claire Marsh

CEO, North America at Vertage

An engineer reviewing a technical design on a desktop monitor.

Outcomes, Not Headcount

PwC's 2026 AI Jobs Barometer shows companies most exposed to AI growing faster and seeing stronger wage growth than less AI-exposed companies.

The important point is not the size of the workforce; it is what that growth is built on. Where AI strengthens expert work and improves the output, companies can create more value instead of simply automating routine tasks.

That is the difference between using AI as a cost tool and using it to change the economics of work. S&P Global points to the same shift, with process efficiency and productivity ranking well ahead of headcount reduction in enterprise priorities.

The Talent Split

That shift is playing out in the labour market too. AI raises the value of some skills while making other work easier to access. A junior lawyer using AI to draft a first-pass contract is not simply doing easier work. They still need to review the output, spot risk, and understand the context behind it. Workforce planning built only on headcount misses that change.

The Governance Edge

This is why governance matters. When people, AI, and external providers all contribute to the same result, ownership can blur. Good governance makes the basics clear: who owns the outcome, where human review is needed, and what happens when risk appears.

Traditional management systems were built to allocate work, not to manage shared responsibility. Leaders need total visibility to understand how outcomes are produced and where value or risk is building.

Good for the Economy

The early signals are encouraging. AI exposure is linked with faster hiring and higher wages, and McKinsey Global Institute estimates that $2.9 trillion in economic value could be unlocked in the US alone by 2030. Capturing that value will take more than automating individual tasks. It will depend on organizations redesigning work around people, agents, and AI working together.

Used well, AI does not just make work cheaper. It changes what work can produce. That is where the economic value sits: in better-designed work, stronger human capability, and outcomes that improve because the system around them has changed.

Claire Marsh

Claire Marsh

CEO, North America at Vertage

Connect on LinkedIn

About the author

With over 25 years of dedicated industry experience, Claire Marsh is CEO of Vertage, North America. Claire's career has been built almost entirely within Lorien, a brand within Impellam Group, where she spent over 16 years rising through the…