You purchased AI tools. Your team completed onboarding. But when you check the usage data, hardly anyone is engaging. This gap between deploying AI and getting people to actually use it costs companies millions in unrealized value. Matthew Bidwell, faculty director of Wharton People Analytics (WPA) and the Xingmei Zhang and Yongge Dai Professor of Management at Wharton, worked with Beril Yalcinkaya, post-doctoral research fellow with WPA, to better understand the root cause driving this divide.
Their research, based on analysis of 197 scholarly articles, reveals why AI investments sit idle, and what separates organizations that generate real returns from those stuck in perpetual pilot mode. The difference isn’t superior technology, it’s organizational design.
Companies achieving results balance automation for routine work with augmentation for complex tasks that require human judgment. They treat AI as a team member rather than just a tool, assigning clear roles and aligning interaction styles with how people naturally work.
Key Takeaways for Leaders Implementing AI
- Adoption Doesn’t Equal Usage
Purchasing AI tools and getting employees to sign up is just the starting point. Meaningful engagement requires addressing trust barriers, displacement fears, and how the technology integrates into daily work, not just the technology itself. - Trust Determines If Employees Actually Use AI
People need to trust AI before they’ll work with it. Trust builds in three ways: the system proves reliable and accurate, the technology is transparent about how it makes decisions, and it responds in ways that feel helpful and personal. Early negative experiences can permanently damage adoption efforts. - Address Job Fears Head-On, Not Later
Employees naturally worry that AI will replace their jobs, make their skills obsolete, or fundamentally change how they work. Companies that successfully drive adoption tackle these concerns directly. They offer upskilling programs, create pathways for career mobility, and design reward systems that demonstrate shared benefits rather than replacement. - Redesign Workflows, Not Just Tasks
The greatest AI gains come from rethinking core workflows, not simply automating individual tasks. The common mistake: bolting AI onto existing processes instead of reimagining how work gets done end-to-end. Success requires clarifying what humans should do, what AI should do, and how they’ll collaborate. - Training Can Meaningfully Increase Adoption
Quality training is the most effective way to increase adoption – but timing matters significantly. Pre-deployment training helps identify AI champions within your organization. During rollout, it provides practical guidance and reduces uncertainty. Post-launch, ongoing training helps employees develop skills that complement the technology. Companies that invest in training at all three stages see usage spread organically as enthusiastic early adopters influence their colleagues. - The Fundamental Insight
Your AI sits unused because adoption is a people and organizational challenge as much as it is a technological one. The companies generating real value address both individual and organizational factors that determine whether anyone actually uses their tools.
Insights at a Glance
Short on time? Here’s the takeaway:
To ensure workers actually use AI, your strategy needs four organizational pillars:
- Strategic alignment connecting AI to business goals
- Robust data infrastructure
- Workflow integration that redesigns processes rather than tasks
- Comprehensive training at every stage
This content was created with the assistance of generative AI. All AI-generated materials are reviewed and edited by the Wharton AI & Analytics Initiative to ensure accuracy, clarity, and alignment with our standards.
About Wharton AI & Analytics Insights
Wharton AI & Analytics Insights is a thought leadership series from the Wharton AI & Analytics Initiative. Featuring short-form videos and curated digital content, the series highlights cutting-edge faculty research and real-world business applications in artificial intelligence and analytics. Designed for corporate partners, alumni, and industry professionals, the series brings Wharton expertise to the forefront of today’s most dynamic technologies.