PERSPECTIVE
The CHRO as architect of enterprise value
Reshaping the workforce and reinventing HR
10-MINUTE READ
August 25, 2026
The C-suite is navigating compounding disruptions, from rapid advances in AI and economic volatility to demographic shifts and evolving workforce expectations. CEOs are asking for new levels of leadership capability, more agile operating models, and the organizational muscle to sustain continuous change. Preparedness has slipped since the start of the year, and just 41% of leaders believe their organization is ready for talent disruption.
The CHRO has two critical mandates: reshape how the workforce leads, learns, and grows as work itself changes; and reinvent how HR as a function works. Both matter, and progress in one accelerates the other. Organizations need as much innovation in workforce as they do in technology, yet the spending profile rarely reflects this. HR needs to lead from the front.
AI’s potential is gated by the ability to scale it meaningfully and rapidly. That requires fundamentally changing how people work, how jobs are defined, and how people learn and grow. 78% of leaders expect roles to change in the next 12 months, yet 57% of employees say their roles have already meaningfully changed. The human side of the equation is central to architecting enterprise value.
Mandate 1: Reshape the workforce
Agentic AI fundamentally changes work, which means redesigning the workforce more deeply.
Deconstruction of jobs is increasingly seen as the unlock, but few organizations have practical approaches to doing this. The future impact of AI on the workforce is knowable today. The CHRO should hold a clear point of view and engage the business proactively, not react after the fact. The pace of learning and change will set the pace of value from AI.
84% of executives expect gen AI and other AI-powered agents to work alongside humans within three years, yet only 26% of workers have been trained to collaborate effectively with AI. But even among those whose employers already provide access, just 35% said they are highly satisfied with the gen AI tools provided by their organization. The bottleneck is adoption, not access. 82% of C-suite leaders plan to increase AI investment over the next 12 months, while 45% of employees believe they would be expected to reskill on their own if their role were disrupted.
Actions that drive value:
- Turn workforce data into business foresight. Shift from static, role-based planning to skills-based strategies that reflect how work will evolve with humans and AI. Use AI to deconstruct roles, defining which tasks can be automated or augmented and where human judgment is critical. Drive role redesign, reskilling investments, and updated job architecture from this analysis and treat it as a living model. This task-level view shifts workforce planning from headcount management to a strategic capability that shapes critical investment decisions.
- Build talent practices for growth and mobility. Connect career pathways, mobility, and location strategy so people move fluidly across roles, geographies, and organizational units. Build the infrastructure for real-time workforce reallocation, rapidly redeploying capability and capacity to where it creates the most value as priorities shift. Talent marketplaces, manager incentives for releasing talent, and career pathing tied to skills adjacencies are important unlocks. Talent Reinventors, the organizations that do this well, grew revenue 1.8 percentage points higher and profit 1.4 percentage points higher than peers in 2025.
- Stop scheduling learning and start embedding it. Lead with curiosity and creativity, build learning into the job, hardwire trust and make gen AI work the way people already work. These conditions set the stage for co-learning, where people and AI systems improve together, and drive four times faster skill development. Yet only 11% of organizations are equipped to enable co-learning at scale, and 53% of workers still don't know who is accountable when AI makes an error. That trust gap slows adoption, and HR is uniquely placed to close it.
- Redefine what leadership looks like when AI joins the team. Clarify what effective leadership looks like when AI is on the team and change is the new constant. Beyond technology fluency, leaders must double down on human connection, curiosity, and responsible decision-making. Breakthrough leadership is a hallmark of Talent Reinventors – organizations that are seven times more likely to strengthen culture, six times more likely to create a great employee experience and that see 40% lower turnover.
- Make change and experience part of the strategy, not the cleanup. Anchor change in clear purpose grounded in company values and responsible AI practices. Communicate honestly about AI's impact and the opportunities it creates for people. Use real-time employee sentiment data to shape engagement and build trust. Behavioral science, listening mechanisms, and feedback loops sustain confidence through continuous change.
- Own the AI and culture narrative at the enterprise level. Shift the conversation beyond productivity to growth. Bring data to every C-suite conversation that quantifies the people dimensions of AI: adoption velocity, employee sentiment through transitions, and the link between workforce confidence and business outcomes. The CHRO who frames this proactively, with evidence and a clear point of view, shapes enterprise AI strategy, not only HR policy.
Mandate 2: Reinvent how HR itself works
HR needs to lead the reinvention.
This is the hardest version of the job, because HR is redesigning itself while it redesigns everything else. A large share of HR's task-level activity is now within reach of large language models, yet fewer than one in five leaders say they are redesigning end-to-end processes with AI at the core. The opportunity across HR functions is substantial, and most organizations have barely started.
AI readiness is an organizational design challenge, not a technology one. The hard part is redesigning roles, workflows, behaviors, and skills around AI, and that is work most organizations underestimate. CHROs are uniquely positioned to lead this within their own function first, where efficiency should be the floor, not the ceiling. The capacity freed must fund new approaches: that is the reinvestment logic.
Actions that drive value:
- Reinvent HR processes end-to-end, not around the edges. Redesign the highest-impact journeys so they cut across traditional processes and address the largest value pools. Then reinvest freed capacity in productivity and experience. The highest-value starting points: talent acquisition, onboarding, payroll, and core HR services.
- Build differentiated employee experiences. Draw on real-time workforce and experience signals to target the moments that matter most: hiring, onboarding, leadership transitions, retention risk, and reskilling. Workforce intelligence sharpens business partnership and drives value in one of the largest cost drivers in any business: human capital.
- Redefine HR around outcomes, not administration. Consolidate teams, set KPIs that capture near-term performance gains and longer-term strategic capabilities, and revisit sourcing and location strategy. Build toward a truly AI-native function, where HR business partners are strategic architects, Centers of Excellence become product-led teams, and traditional HR Services evolve into People Enablement and Insights hubs.
- Rewire accountability and metrics for the AI era. Clarify decision rights and accountability when intelligent systems inform people decisions like promotion and performance. Expand metrics to outcomes that drive growth: internal mobility into priority roles, manager effectiveness through change, and learning velocity aligned to business demand. Work with legal teams early on jurisdictional differences.
- Build the HR team to lead transformation, not only support it. Develop AI fluency, business and financial acumen, systems thinking, data literacy, responsible AI practices, experience design, and change leadership. All of this sits alongside deep specialist expertise across talent, rewards, and HR technology.
- Lead the transformation of HR from within. The hardest change to lead is the closest to home. HR professionals who have built careers around process expertise can be reluctant to redesign roles they know well. CHROs need to model the behaviors they ask of the broader workforce: demonstrate AI fluency personally, redesign HR roles transparently, and invest in HR's own reskilling with the same urgency. Only 27% of C-suite leaders use AI daily, and those who do are about twice as likely to be deploying AI agents and redesigning processes around AI.
- Drive the HR technology agenda, don't inherit it. Align technology investments to the end-to-end workflows that drive the most business value. Stay current on core platform developments and adopt new AI capabilities ahead of the business. Start with the data you have, using AI and agentic capabilities to bridge the gaps while you build the foundations. Establish joint HR-IT governance with shared KPIs and a clear methodology for moving from pilots to deployment. The roadmap should be legible to business leaders, not an IT backlog.
Accenture has been reinventing HR for several years.
HR costs as a percentage of revenue fell more than 30% in four years with no loss of business impact or employee experience. Employee experience scores held steady through the transition, and mobility into priority internal roles increased as the skills-based model gave leaders real-time visibility into deployable talent. Talent Navigator, a platform that breaks roles into tasks linked to skills, cost and value, gives leaders a clear view of where work can shift to AI, automation, or human teams. New investments in learning, leadership, and operating model change ensure the human foundations keep pace with the technology. That same task level view now drives how HR redesigns its own roles.
Where to start
This is the CHRO's moment: architecting the future workforce for real business outcomes, not managing disruption from the sidelines. The future belongs to organizations with CHROs who have connected workforce capability to financial outcomes, kept humans in the lead, and built the capability to adapt faster than the competition.
Three moves to make now:
Map where AI can absorb routine work, where human judgment creates irreplaceable value, and where the biggest capability gaps sit. This is your investment thesis, the foundation for every talent and technology decision that follows. Define clearly what good looks like and anchor it in business priorities. The sharper the value case, the stronger the C-suite alignment.
Choose one high-impact journey and value pool, in HR and in the business, and commit to genuine redesign, not incremental automation. Set KPIs before you start, demonstrate results within 90 days, and use the proof to earn the mandate for the next horizon. Bring technology partners and new skill profiles into the redesign: data scientists, forward-deployed engineers, who will challenge what's possible. Value from AI is not only about automation. It's about reimagining how work gets done and how redesigning upstream decisions can eliminate unnecessary work downstream.
Link the people agenda directly to business outcomes and shift the conversation from productivity alone to growth. Track AI adoption velocity, skills development speed, and leadership effectiveness through change. Take a clear position on cultural shifts, from the language leaders use to the human in the lead practices that build trust and engagement.
Roughly one in five organizations are outpacing peers on financial performance and workforce strength, growing revenue and profit while building stronger cultures and more adaptable teams. What sets them apart is not how much they spend on AI, but how deliberately they reinvent talent around it.
Source
1 Accenture, Pulse of Change, July 2026.