Why it Matters: Diversity & AI Adoption
The evolving impact of AI on the workforce is not being felt equally; workers across different intersectional identities are experiencing its effects in disproportionately recognized ways.
Below are key insights from the July 2025 Pulse of the U.S. Workforce Report that shed light on these disparities. (idealis., 2025)
Race/Ethnicity:
Hispanic/Latino, Black, and Asian workers are significantly more likely to use AI at work than white workers, and they also tend to trust AI tools more and view them as helpful in completing tasks.
Age:
Younger workers, especially those aged 18-24, are leading adoption – 56 percentage points ahead of workers aged 55 and older – with 74% using AI for brainstorming and ideation compared to just 18% of the oldest group. These younger employees are emerging as mentors and change agents in the workplace.
Gender:
Gender differences are also notable: men adopt GenAI at higher rates (55% vs. 45%) and report broader use cases and more positive sentiment, while women are more likely to use AI for planning and organizing and often take a more neutral stance on its impact.
Learn More About Our Speakers
Dr. Christopher Hunt, Vice President and Dean for Inclusive Excellence, Moravian University
Dr. Hunt is a member of the President’s Cabinet and leads campus-wide inclusion efforts, working closely with students, faculty, and staff to foster an inclusive academic and social environment. His research focuses on the intersections of race, ethnicity, age, religion, gender, and socioeconomic status, with his dissertation exploring generational experiences of Black male students at predominantly White institutions.
Amit Parmar, CEO & Founder, Cliquify
Amit has held executive leadership positions in large global enterprises, including IBM, and Deloitte. He is now the CEO of Cliquify, an Enterprise AI Tech Company based in the Lehigh Valley, trusted by the world’s leading enterprises, such as Pfizer, MGM Resorts, Cracker Barrel, Tractor Supply Company, and many more globally.
Allison Williams, Chief Learning Officer, idealis. advisory
Allison has over two decades of experience leading complex organizations through strategic planning, crisis response, and team development. As Chief Learning Officer at idealis., she designs learning experiences and organizational strategies that balance high performance with deep humanity. She also explores how AI impacts leadership and culture, advocating for workforce readiness that prioritizes both clarity and care.