When Companies Listen to Employees About AI, Everyone Benefits

2026-06-18 · Source: Partnership on AI · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Intermediate, short

Summary

A June 18, 2026 report highlights that over 70% of global organizations now use generative AI in at least one business function, underscoring the critical need for deliberate choices in AI deployment to ensure positive outcomes. The Partnership on AI's new case studies, featuring IBM and EXL, demonstrate how integrating employee expertise and perspectives into AI adoption processes leads to shared benefits. IBM's interviews revealed that leaders signaling openness to feedback, providing clarity, and encouraging experimentation foster active employee contribution and innovation. Similarly, EXL's survey of 5,500 employees showed that clear and navigable AI governance frameworks significantly improve both compliance and employee innovation. These findings collectively emphasize that companies dedicating resources to responsible AI governance, including dedicated staff and structured listening processes, are better positioned for successful, worker-centered AI implementation.

Key takeaway

For Directors of AI/ML evaluating AI deployment strategies, prioritizing employee input is crucial. Your teams should establish structured listening processes, like interviews or surveys, and ensure AI governance frameworks are clear and accessible. This approach not only enhances compliance and innovation but also improves job quality and productivity, mitigating risks associated with poor AI adoption.

Key insights

Centering worker voice in AI development and implementation is essential for AI to benefit both employees and employers.

Principles

• Open leadership fosters employee feedback on AI.
• Clear AI governance frameworks boost compliance and innovation.
• Dedicated resources for responsible AI improve adoption.

Method

Companies can integrate employee voices by conducting interviews, surveying workers on AI governance, and establishing clear, trustworthy feedback mechanisms with visible responses.

In practice

• Conduct employee interviews on AI use.
• Survey workers on AI governance frameworks.
• Actively encourage AI experimentation.

Topics

• AI Governance
• Employee Engagement
• Worker Voice
• Responsible AI
• Organizational Change Management
• AI Adoption

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Ethicist, HR Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Partnership on AI.