AI is changing the way organizations build and develop their workforces, with new PwC research highlighting how businesses must rethink workforce planning as AI continues to reshape the skills required across the job market.
PwC's 2026 Global AI Jobs Barometer, which analyzed one billion online job advertisements across six continents, argues that AI has delivered productivity gains where it is deployed, but that this change is fundamentally restructuring jobs, changing the skills employers expect, and altering how organizations recruit, train, and retain talent. The findings indicate that businesses embracing AI are seeing significant productivity gains while simultaneously facing new workforce challenges.
The report also suggests that the organizations most exposed to workforce disruption are those furthest along in AI adoption. As AI becomes more deeply embedded across business functions, workforce planning is increasingly emerging as a core part of successful AI implementation.
AI Is Redefining Roles Across the Workforce
The report found that organizations with the greatest AI exposure recorded productivity growth of 33.5% compared with a 2018 baseline.
This productivity growth is driven by two distinct patterns emerging across organizations: professionalized roles, where AI automates routine tasks and allows employees to focus on higher-value work, and democratized roles, where more complex activities are automated, leaving workers responsible for operational execution.
For professionals such as lawyers, consultants, and analysts, AI is increasingly handling administrative work such as summarizing documents or processing information, enabling employees to spend more time on strategic decision-making and client engagement. In other industries, including logistics and warehousing, AI is automating activities such as inventory management while workers focus on physical operations and coordination.
The report highlights the significant shift in expectations now placed on junior employees. Entry-level roles with the highest AI exposure increasingly require capabilities traditionally associated with far more experienced workers. Senior-level competencies such as leadership, mentoring, people management, and process management now account for 52% of the new skills required for highly AI-exposed entry-level positions, compared with just 7% for those with the lowest AI exposure.
As Phil Ng, PwC partner, explained: "AI didn't kill the junior job. It made it senior."
"AI is absorbing the grunt work, the data pulls, the first drafts, the basic modeling. What's left for the human, even at entry level, is the hard part: judgment, strategy, knowing what matters."
Businesses Must Redesign Workforce Strategy for an AI Era
The findings suggest that AI adoption is becoming as much a workforce challenge as a technology initiative. As routine work becomes increasingly automated, organizations can no longer rely on traditional career progression models that develop employees through repetitive tasks and accumulated experience.
This shift places greater emphasis on workforce planning. Organizations will need to reconsider how they onboard employees, develop practical experience, and create opportunities for junior workers to build the judgment and decision-making skills that AI cannot easily replicate.
