Economy January 22, 2026

EY Executive Emphasizes People-Centric Strategies for Realizing AI Productivity Gains

EY's Julie Teigland highlights the necessity of workforce investment and job redesign for AI to enhance productivity sustainably

By Hana Yamamoto
EY Executive Emphasizes People-Centric Strategies for Realizing AI Productivity Gains

Julie Teigland, global vice chair at EY, stated that for companies to genuinely benefit from artificial intelligence in terms of productivity, they must focus on investing in employees and reevaluating job roles. Speaking at the World Economic Forum in Davos, she emphasized that significant training combined with work process changes is essential to unlock AI's potential beyond mere tool deployment. Businesses are increasingly moving beyond initial AI trials towards more integrated and strategic applications, recognizing the complexity involved in realizing returns on investment.

Key Points

  • EY's research indicates that extensive employee training, averaging 81 hours per person, combined with role redesign can yield significant productivity gains of approximately 14% weekly.
  • The nature of work will evolve with AI, requiring employees to shift from task execution to supervisory roles, reflecting a multi-generational labor impact.
  • Businesses have progressed from initial AI exploration toward practical integration, recognizing that AI deployment requires organizational change and cannot rely on tool adoption alone.

Julie Teigland, the global vice chair at EY, addressed the challenges companies face in generating productivity improvements through artificial intelligence, stressing that such gains are contingent on significant investment in employees and comprehensive job redesign. Speaking on the sidelines of the World Economic Forum in Davos, Teigland underscored that organizations cannot expect a return on investment in AI technologies without modifying job descriptions and adapting operational processes accordingly.

Drawing on EY's internal research, Teigland highlighted that around 81 hours of training per employee, when combined with redesigning roles, can potentially lead to approximately 14% gains in weekly productivity. This points to the critical role that workforce development plays alongside the technical adoption of AI.

She further elaborated that the labor market impact of AI will span multiple generations, fundamentally altering entry-level jobs and initial white-collar responsibilities. Employees will need to transition from executing tasks themselves to overseeing and supervising AI-driven processes, effectively becoming "above the loop" in their functions.

Teigland also observed a perceptible shift in the tone of business discussions around AI compared to a year ago. Leaders are adopting more pragmatic perspectives as AI transitions from a phase of hype to practical scaling. Organizations are realizing that implementing AI is not a straightforward plug-and-play endeavor; it requires strategic organizational redesign and structured training, beyond simply introducing new tools.

She noted that many companies have progressed beyond early-stage adoption measures, such as deploying AI copilots and familiarizing staff with the technology, and are now confronting the challenge of advancing past pilot projects and proofs of concept. Teigland warned that becoming entrenched in numerous pilot programs without decisively moving forward can act as a "death trap," stalling organizational progress and diminishing the expected benefits of AI.

Risks

  • Failure to redesign job descriptions and workflows could result in no return on investment despite AI implementation, impacting organizational productivity in sectors adopting AI.
  • Stalling in pilot phases without scaling integration could trap companies in ineffective use of AI technologies, limiting benefits in the white-collar and technology sectors.
  • Without sufficient training and change management, employees may struggle to adapt to AI-driven role changes, affecting labor dynamics and operational efficiency across industries.

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