Overview

Artificial intelligence (AI) is transforming the labor market in ways that extend well beyond the creation of new technologies. While public discussion often focuses on AI replacing jobs or increasing demand for software engineers and AI specialists, another trend is visible across multiple industries: changes in the composition of the workforce itself.

As organizations invest in AI, automation, robotics, advanced manufacturing, digital infrastructure, energy systems, and other emerging technologies, many employers report that their greatest challenge is no longer acquiring technology. Instead, they are finding it increasingly difficult to recruit, develop, and retain workers with the knowledge, skills, and competencies needed to implement, operate, maintain, secure, troubleshoot, and continuously improve those technologies.

This emerging workforce challenge suggests  AI is reshaping individual occupations as well as the mix of occupations organizations require to operate successfully. Rather than reducing the need for workers, AI often changes the distribution of roles within organizations and increases demand for many technical, operational, and hybrid occupations that enable technology to deliver value.

Employer organizations, industry associations, and workforce researchers increasingly point to a common two-part theme: long-term economic competitiveness  depends on 1) technological innovation and 2) preparing enough people to successfully put those innovations into practice.

Historically, workforce discussions have focused on shortages of engineers, scientists, software developers, and other professionals responsible for designing and developing new technologies.

Today, many employers are describing a different challenge. Organizations may have access to innovative technologies, capital investment, and engineering expertise, yet still encounter difficulties because they lack sufficient workers who can:

• Install and configure new technologies
• Integrate technologies into existing operations
• Operate increasingly sophisticated systems
• Maintain and repair advanced equipment
• Monitor system performance
• Troubleshoot technical problems
• Protect digital infrastructure
• Continuously improve processes as technologies evolve

Workers in AI-implementation-oriented occupations are becoming essential complements to engineering, research, and software development.

Examples within Industry Sectors

Several industry sectors illustrate how workforce demand is evolving.

• Advanced Manufacturing
  • Manufacturers are increasingly adopting robotics, automation, industrial Internet of Things (IIoT) technologies, digital twins, and predictive maintenance systems.
  • As a result, employers report growing demand for automation technicians, industrial maintenance specialists, robotics technicians, controls technicians, mechatronics technicians, and quality systems professionals who can keep increasingly sophisticated production systems operating efficiently.
• Semiconductor Manufacturing
  • Recent federal investments in domestic semiconductor manufacturing have highlighted substantial workforce needs extending beyond engineers.
  • Semiconductor fabrication facilities require thousands of process technicians, equipment maintenance technicians, engineering technicians, clean-room specialists, and other highly skilled workers who support continuous production.
• Energy and Infrastructure
  • Modernizing electrical grids, expanding renewable energy, developing battery manufacturing, and strengthening critical infrastructure require electricians, instrumentation technicians, field service specialists, systems operators, and maintenance professionals capable of working with increasingly digital and automated technologies.
• AI Infrastructure and Data Centers
  • Rapid growth in AI applications has accelerated investment in data centers, cloud computing infrastructure, fiber networks, power systems, cooling technologies, and cybersecurity.
  • These facilities depend on skilled technical workers responsible for installation, operations, maintenance, networking, cybersecurity, and infrastructure management.
• Healthcare
  • Healthcare organizations are increasingly adopting AI-assisted diagnostics, digital health technologies, robotics, and advanced medical equipment.
  • Successful implementation depends not only on physicians and researchers but also on biomedical equipment technicians, imaging technologists, health information specialists, clinical informatics professionals, and implementation teams that integrate technology into patient care.

Changing Roles for Professionals

Across many professions, human expertise is shifting toward judgment, oversight, communication, ethics, and collaboration with AI systems. As a result, AI is changing the work of many professionals.

• Engineers increasingly supervise automated systems rather than performing every technical task themselves.
• Managers use AI to support planning and decision-making while devoting more attention to leadership, organizational change, and workforce development.
• Faculty and trainers are incorporating AI into teaching while emphasizing coaching, mentoring, critical thinking, and applied learning.

Growth of Hybrid Occupations

Many emerging occupations combine technical expertise with interpersonal, analytical, and organizational capabilities. Examples include:

• AI implementation specialists
• Smart manufacturing technicians
• Digital manufacturing specialists
• Clinical informatics professionals
• AI-enabled project managers
• Cybersecurity analysts
• Energy systems specialists

These hybrid roles illustrate that AI is not simply replacing existing occupations. Instead, it is creating new combinations of technical knowledge, digital fluency, communication, problem-solving, and continuous learning.

Implications for Education and Workforce Development

The changing composition of the workforce has important implications for education, employers, and workforce development organizations.

• Educational institutions may need to redesign programs that combine technical knowledge with applied workplace experience and AI literacy.
• Employers may expand investments in work-based learning, Registered Apprenticeships, internships, incumbent worker training, and continuous upskilling to prepare employees for evolving technologies.
• Credential providers may increasingly develop certifications and microcredentials that validate implementation skills alongside technical and professional competencies.
• Policymakers may place greater emphasis on workforce strategies that strengthen technician education, community and technical colleges, lifelong learning, and partnerships among employers, education providers, and workforce organizations.

Questions to Watch

Although many aspects of AI's long-term workforce impact remain uncertain, several important questions are emerging:

• Which occupations will experience the greatest growth as AI adoption expands?
• How will AI change staffing patterns within organizations?
• Will demand continue shifting toward implementation and technical occupations?
• Which new hybrid occupations will emerge?
• How should education and workforce systems prepare learners for these changes?
• What role will Registered Apprenticeships, industry certifications, and Learning and Employment Records play in documenting evolving skills?

As AI becomes embedded across more sectors of the economy, understanding how it changes the composition of the workforce may become as important as understanding the technologies themselves.

Resources

Deloitte & The Manufacturing Institute. (2024). 2024 Manufacturing Industry Outlook.  https://www2.deloitte.com/

National Science Board. (2024). The State of U.S. Science and Engineering 2024. https://ncses.nsf.gov/pubs/nsb20243

Semiconductor Industry Association & Oxford Economics. (2023). Chipping Away: Assessing and Addressing the Labor Market Gap Facing the U.S. Semiconductor Industry. https://www.semiconductors.org/chipping-away-assessing-and-addressing-the-labor-market-gap-facing-the-u-s-semiconductor-industry/

The Manufacturing Institute. (2024). Building a Workforce for the Future of Manufacturing. https://themanufacturinginstitute.org/  and https://themanufacturinginstitute.org/workers/

U.S. Department of Labor. Registered Apprenticeship. https://www.apprenticeship.gov/

World Economic Forum. (2025). The Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/