How is AI changing board oversight of talent strategy?

This article originally appeared in our September 24th edition of the Diligent Minute Newsletter. For more insights like these, delivered straight to your inbox, subscribe here. 

AI conversations often begin with the question of what the technology can do. For boards, the more important question is becoming: What will this technology require of our workforce, and are we prepared to lead that change responsibly?

The answer is more complicated than a forecast of jobs gained or lost. AI is changing how work is designed, how decisions are made and what capabilities organizations need to remain competitive. It may automate some tasks, augment others and create entirely new forms of work. In every case, the impact will be felt by people before it is fully visible in the numbers. Two recent interviews on the Corporate Director Podcast offered valuable insights for directors on how talent strategy is shifting to fit the present moment.

The workforce as a strategic variable

In a recent conversation on the Corporate Director Podcast, Mary Lee Sharp, Executive Vice President of Human Capital at Beneficial State Bank, offered a useful framing: “What can humans do? What work should AI do? How do we redesign jobs?” Those questions move the discussion beyond tools and toward the organization that must operate with them. As Sharp noted, some roles may remain uniquely human, some may become hybrid and some may be performed by nonhuman systems. All of that is part of the talent strategy.

Our research points to the same shift. Directors see operations and workforce productivity as one of the biggest opportunities from generative AI, while also recognizing that a lack of leadership knowledge and capabilities is among the greatest risks.

Aniel Mahabier, Founder and CEO of INOP, adds another important lens: “AI transformation failures are often visibility failures.” Organizations may have extensive workforce data but still lack a clear view of how automation is changing work, capabilities and execution risk.

Traditional measures tell boards how many people are employed. They may not show which tasks are changing, where workflow friction is emerging or whether employees have the skills to deliver the strategy.

What boards should be asking

For directors, the oversight challenge is to connect technology decisions to workforce outcomes:

• Which roles and processes will change first, and what assumptions are built into that plan?
• Where will the organization need reskilling, redeployment or new leadership capabilities?
• How is management measuring adoption and productivity without creating a culture of surveillance or undermining trust?
• What are the likely costs of workforce transition, and how long will it take to realize the projected benefits?
• Who is accountable when an AI-enabled process produces an outcome that is harmful, inaccurate or inconsistent with the organization’s values?

These are not questions for the technology team alone. They belong in conversations about strategy, enterprise risk, culture, succession, executive incentives and capital allocation. They also require a stronger partnership between the chief human resources officer and the board.

From AI pilots to AI ROI

Sharp argues that the conversation is moving from AI pilots to AI ROI, and that the human capital function has a central role in proving whether adoption is real. “Our AI ROI depends on true adoption in the workplace,” she said. That means tracking training, experimentation, work-team progress, lessons learned and measurable outcomes, not simply counting licenses or announcing deployments.

She also offered a reminder that should guide every workforce discussion: “It’s not humans in the loop, it’s humans in the lead.” The point is not to slow innovation, but to ensure that people remain accountable for judgment, context and consequences while organizations learn where AI can genuinely improve the work.

AI may change the workforce, but it does not remove the board’s responsibility for human judgment. The boards best prepared for this next phase will treat workforce readiness as a core measure of AI readiness. They will ask better questions, demand clearer evidence and ensure that ambition is matched by accountability.

Explore the What Directors Think 2026 research and listen to the Corporate Director Podcast for more insights on AI, workforce strategy and the issues shaping board agendas.