HR’s purpose changes.
Success is increasingly measured by workforce capacity, adaptability, and effectiveness rather than by the efficiency of HR processes.
AI is creating a new category of workforce capacity: digital labor. HR leaders are being challenged to move beyond how to use AI within HR and are increasingly focused on helping the business design, deploy, and optimize a workforce of both people and AI. That shift changes HR’s purpose, capabilities, operating model, and measures of success. HR leaders who begin building those foundations now will be better positioned to help the enterprise turn AI adoption into workforce value.
For HR, this represents an inflection point.
While some organizations are pushing the boundaries of AI, much of the current conversation and real-world progress focuses on embedding digital labor into existing service delivery channels: automating transactions, answering employee questions, or improving access to information. These applications can create meaningful efficiencies, but they are only part of the picture.
We believe the shift to a hybrid workforce comprised of human and digital labor creates five large-scale implications for HR.
Workforce outcomes matter more than HR organizational silos.
End-to-end workforce outcomes replace traditional functional silos as the primary way HR delivers value to the business.
HR capabilities expand.
As AI automates some of HR’s work, investment shifts toward workforce strategy, leader advisory, experience design, and governance.
HR’s operating model transforms to align new capabilities.
New structures, roles, and ways of working are required to deliver these emerging capabilities and workforce outcomes.
Foundation-building should start now.
HR teams should take practical steps now to build the foundation for an AI-enabled HR model—betting on technology improvements to make foundation-building unnecessary is a risky proposition.
Each implication warrants deeper consideration, but they begin with the same foundational question: What value should HR create in an AI-enabled organization?
Historically, HR has been measured by relationships, service quality, process efficiency, compliance, and talent program delivery. Those remain important, but they are table stakes. HR’s strategic contribution is to help the organization build and sustain the workforce required to fulfill its mission and remain competitive.
ScottMadden believes this means driving three dimensions of workforce success:
Workforce capacity means having access to the talent, skills, capabilities, and resources required to meet organizational needs.
Workforce adaptability is the ability to respond to changes in technology, operating conditions, and workforce requirements.
Workforce effectiveness means getting the best performance from the available mix of human and digital labor.
While HR builds and enables the workforce, business leaders are still accountable for delivering results.
HR’s role is to help leaders design and optimize the workforce needed to achieve the desired business outcomes. As AI changes how work gets done, questions about organizational and role design, skills and capabilities, and the role of digital labor become large-scale workforce decisions rather than isolated team or technology decisions. That shift gives HR an opportunity to shape enterprise workforce decisions rather than respond to them.
What Should HR Leaders Do Now to Structure an AI-Augmented Workforce?
If HR is going to help shape the AI-enabled workforce, it must evolve its own function while developing the capabilities to advise business leaders on the changing nature of work. This requires deliberate choices about where HR creates value, how it deploys expertise, and what capabilities and operating model it needs for the future. HR leaders should consider five questions:
- Value: Where should HR create the greatest business value, for example, improving workforce capacity, adaptability, and effectiveness?
- Human expertise: Where should HR concentrate human judgment and expertise, and where can AI augment or automate work, such as repeatable and rules-based work versus workforce planning and leader advisory?
- Capabilities: What capabilities must HR build or strengthen, such as workforce strategy, work design, AI fluency, and governance?
- Operating model: How should HR’s roles, structures, processes, and technology evolve, for example, redefining HRBP, CoE, and shared services responsibilities and integrating digital labor into service delivery?
- Investment: What foundations should HR prioritize now—such as workforce data, skills development, governance, and targeted AI pilots?
HR does not need to redesign its operating model overnight. It should start by defining the value it needs to create, then use that as the anchor for decisions about AI, capabilities, roles, technology, and investment.
How ScottMadden Helps
AI-enabled organizations require HR to think beyond automating its own processes and toward designing a workforce that combines human and digital labor. This requires an integrated approach to human and digital labor, aligning work design, roles, skills, capabilities, and accountability with business priorities.
To deliver greater strategic value, HR leaders must rethink their operating models and strengthen capabilities in workforce strategy, leadership advisory, employee experience, and governance. By defining desired business outcomes first, HR can make more informed decisions about organizational structures, technology, and investments while laying the foundation today for an AI-enabled workforce.
ScottMadden helps HR leaders define the value their function must create, assess the capabilities required to deliver it, and design the operating model, governance, roles, and technology needed to support an AI-enabled workforce.
