AI is shifting workforce planning from headcount forecasts toward strategic organizational capability planning.
CHROs must identify emerging skills while redesigning roles around human-AI collaboration.
Continuous reskilling, governance, and organizational design will shape workforce strategies through 2027.
Artificial intelligence is changing how companies think about workforce planning, pushing chief human resources officers beyond traditional headcount forecasts. As AI adoption expands, organizations are increasingly focusing on skills, job redesign, human-AI collaboration, and organizational capabilities.
For CHROs preparing for 2027, the challenge is no longer simply determining how many employees a business will need. It is understanding how work itself is changing and ensuring employees have the capabilities required for that transition.
Traditional workforce planning has largely focused on estimating future staffing requirements. AI is changing that approach by forcing organizations to examine the work behind each role.
Questions around which tasks can be automated, which require human judgment, and which new capabilities will be needed are becoming central to workforce strategy.
McKinsey’s 2026 HR Monitor found that only 11% of organizations take a long-term approach to workforce planning. The research points towards a shift from capacity planning to strategic capability planning as AI changes tasks and skills.
The World Economic Forum’s Future of Jobs Report 2025 estimates that 39% of workers’ core skills could change by 2030. AI and big data, networks and cybersecurity, and technological literacy are among the fastest-growing skill areas.
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For CHROs, this makes skills intelligence an increasingly important part of workforce planning.
Instead of treating AI expertise as something limited to technology teams, organizations need to understand how AI-related capabilities affect functions across the business.
At the same time, technical skills must be combined with human capabilities. The World Economic Forum identifies creative thinking, resilience, flexibility, agility, leadership, and analytical thinking among the capabilities expected to remain important.
This means workforce planning will increasingly involve identifying existing skills, understanding where gaps exist, and determining how employees can transition into emerging roles.
AI growth is also creating new roles while changing existing ones.
Some organizations are developing dedicated AI, data, and automation positions. Others are incorporating AI capabilities into established business functions.
Recent research from the CHRO Association indicates that organizations are beginning to create new digital, innovation, and AI capabilities within HR itself. The research also points to changes in HR business partner roles and operating models.
The shift suggests that AI capabilities will increasingly be required across the enterprise rather than being concentrated within technology departments.
AI adoption does not necessarily mean eliminating entire roles. In many cases, individual tasks within those roles can be automated or augmented.
CHROs therefore need to examine jobs at the task level and determine which activities should remain human-led, which AI can support, and which could potentially be automated.
Deloitte’s 2026 Global Human Capital Trends research found that only 6% of leaders say their organizations are making progress in designing human-AI interactions.
This gap highlights a central workforce challenge: adopting AI is one step, but redesigning work around it is another.
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As roles evolve, companies will need systems that allow employees to acquire new skills and move into emerging positions.
The World Economic Forum estimates that 59 out of every 100 workers would need reskilling or upskilling by 2030. Employers also identify skills gaps as a major barrier to business transformation.
For organizations, this increases the importance of internal mobility and structured learning pathways. Rather than relying entirely on external recruitment, companies can identify adjacent skills and prepare existing employees for changing roles.
AI's impact extends beyond individual jobs. It can influence team structures, decision-making processes, and how work is distributed across an organization.
McKinsey has said agentic AI is pushing HR leaders to redesign roles and establish the architecture needed for human-agent collaboration. HR operating models are also becoming more technology-enabled.
This makes organizational design an increasingly important component of AI strategy.
AI workforce planning also requires clear governance. Employees need to understand how AI will be used, which decisions will remain under human control, and how their performance will be assessed.
The CHRO Association’s 2026 survey identifies organizational readiness, workforce concerns, governance risks, and investment constraints as barriers to scaling AI initiatives.
For CHROs, managing this transition therefore involves more than technology adoption. It also requires communication, governance, and employee trust.
By 2027, workforce planning will likely focus less on predicting precise headcount and more on understanding the relationship between work, skills, technology, and organizational capability.
Gartner’s 2026 CHRO research identifies workforce transformation, workforce planning, and organizational design as strategic areas for CHROs navigating enterprise AI adoption.
Organizations prioritize building workforce models that adapt as AI changes tasks, roles, and skills, while keeping people, governance, and business outcomes at the center.
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What is AI workforce planning?
AI workforce planning assesses future skills, roles, tasks, and organizational capabilities required as artificial intelligence changes how businesses operate.
Why is AI workforce planning important for CHROs?
It helps CHROs prepare employees for changing roles, identify skills gaps, redesign jobs, and align workforce capabilities with business strategy.
Which skills will become important by 2027?
AI literacy, analytical thinking, creative thinking, leadership, technological literacy, adaptability, and cybersecurity capabilities are expected to remain increasingly important.
How will AI change existing job roles?
AI may automate selected tasks while employees focus more on judgment, creativity, relationships, problem-solving, and other human-led responsibilities.
Why is reskilling important for AI adoption?
Reskilling helps organizations address emerging skills gaps, support internal mobility, and prepare existing employees for roles shaped by artificial intelligence.