What: As AI adoption accelerates, uneven access to training and oversight risks deepening workplace inequalities and eroding trust among employees.

Why it is important: Effective AI integration depends on transparent oversight and equitable training, aligning with findings that trust and inclusion are critical for organizational resilience.

The EAB Inclusion Leader Playbook for the Next Phase of AI underscores that as artificial intelligence moves beyond pilot projects and becomes embedded in everyday work, it is fundamentally altering how opportunity, evaluation, and advancement are distributed within organizations. While many employers focus on productivity gains, the report warns that the real challenge lies in ensuring AI is experienced as fair and trustworthy by all employees. Recent research shows that only a small fraction of US workers have received AI-related training, with access and encouragement particularly lacking for women and underrepresented groups. This uneven learning curve threatens to widen existing disparities, as those with early exposure and support build capability faster, leaving others behind. The report calls for inclusion leaders to embed themselves in AI governance, advocate for transparent policies, and define clear human accountability, especially as AI increasingly influences hiring, promotion, and pay. Ultimately, the playbook argues that inclusion is not a constraint on AI innovation but a prerequisite for building trust, widening participation, and ensuring that AI-driven transformation benefits the entire workforce. 

IADS Notes: The challenges and opportunities outlined in the EAB Inclusion Leader Playbook for AI are echoed across recent industry analyses. As Seramount noted in February 2026, inclusion leaders are increasingly vital in ensuring that rapid AI adoption supports fairness, trust, and equitable access to training, especially as automation risks leaving underrepresented groups behind. BCG’s September 2025 research underscores that only 36% of workers feel prepared for AI-driven change, highlighting a critical gap in upskilling and the need for balanced integration of human and technological capabilities. The persistent trust gap, as reported by ESG Dive in December 2025, reveals that most US employees remain wary of AI-driven decisions in hiring and performance, demanding transparency and human oversight. ERE Media’s July 2025 coverage of the Mobley v. Workday lawsuit further illustrates how unchecked AI hiring tools can perpetuate discrimination, reinforcing the necessity for robust ethical validation and human involvement. Finally, The Robin Report in April 2026 documents the widening “AI encouragement gap,” particularly affecting Gen Z and women, as economic pressures and limited support threaten to deepen inequalities and stifle innovation. Together, these findings confirm that the future of AI transformation will depend on organizations’ ability to embed inclusion, trust, and human accountability at every stage.

An inclusion leader playbook for the next phase of AI