As artificial intelligence, generative AI, and, increasingly, AI agents become more integrated into daily operations, the optimization of the workforce becomes a critical imperative. The KPMG US Tech Report 2026 shows that organizations are rapidly adopting AI, but outcomes vary significantly based on governance, execution discipline, and organizational readiness - and that high-performing organizations distinguish themselves through coordinated, enterprise-wide AI programs rather than fragmented initiatives. In particular, an evolving regulatory environment, including shifting labor and immigration policies, as well as emerging AI regulations, directly impact workforce strategy. Leaders must consider not just how to leverage AI for productivity gains, but also how policy changes could affect workforce availability, skill requirements, and compliance obligations.
To unlock the full potential of AI, organizations must establish workforce structures that capture and realize AI's value. This involves analyzing workforce data to identify roles and skills where AI augmentation can have the highest impact and conducting opportunity assessments to project productivity gains. However, policy shifts such as curbs to immigration are making it increasingly difficult to find the right talent, intensifying the need for strategic workforce planning that addresses both human and digital roles. With limited job creation and an ultimately finite labor force, competitiveness now depends on a leader’s ability to adapt to these constraints by integrating AI, RPA, and other automation technologies into workforce planning. Further, as AI agents become integral tools, strategic workforce planning must be reimagined to include both human and digital workers, ensuring seamless interaction and collaboration. This shift changes the skill sets organizations require—demanding more highly skilled workers and fewer manual laborers—while also requiring compliance with new AI-related regulations and labor standards.
Currently, up to 79% of workers use automation technologies at least once a week, with 30% using them daily. To further increase adoption, organizations should focus on enhancing the employee experience and fostering a culture of continuous learning and innovation. Providing targeted training that advances employees' skill levels will not only boost productivity but also enable career mobility as new roles emerge. Customized upskilling and tailored learning pathways for different professional roles can help bridge the talent gap and unlock AI's economic potential. Effective change management requires personalized adoption experiences that cater to the unique workflows and tasks of each individual, allowing organizations to achieve higher capacity, productivity, and growth as measurable outcomes of AI-driven optimization. At the same time, regulatory changes—such as new AI usage policies, labor market interventions, and reshoring efforts—demand that organizations take a holistic approach to workforce planning, balancing compliance with agility.
In short, leaders now face the challenge of designing resilient workforce strategies that are responsive to both technological advancements and the ever-changing policy landscape, ensuring their organizations remain both competitive and compliant.