Frontline Workers Still Waiting for AI Tools and Training

The AI divide

Artificial intelligence tools are reaching corporate offices and information workers at an accelerating pace, but a significant portion of the workforce remains on the sidelines. Frontline employees—those working in production facilities, warehouses, customer service centers, and field operations—represent approximately 56% of the total U.S. workforce, yet they're experiencing minimal AI integration compared to their office-based counterparts.

A survey of 5,693 frontline workers and managers conducted by Dayforce reveals that productivity suffers due to disconnected information systems and workflows. Only 29% of executives and managers reported that their organizations have meaningfully evaluated AI applications for frontline work, and a mere 6% said AI transformation is well integrated into daily operations.

Why it matters

This gap represents both a missed opportunity and a potential competitive liability. Organizations investing heavily in AI for back-office functions while neglecting frontline operations risk creating a two-tier workforce where the majority lacks tools to improve efficiency, safety, and decision-making. As AI becomes table stakes for business operations, companies that fail to extend these capabilities across their entire workforce may struggle to retain talent and maintain operational excellence.

Where AI reaches the front lines today

When AI does appear in frontline contexts, it typically serves management rather than workers directly. Naeem Bari, co-founder and chief product officer at fleet tracking company Linxup, noted that field service operations currently use AI at the office level to optimize job productivity, reduce travel time, and identify safety risks. Even AI-equipped dash cameras in vehicles report data back to management for analysis and coaching rather than providing real-time assistance to drivers.

Caleb Prosper, CEO of Gemena Tech, observed that tools reach frontline workers last, training remains minimal, and organizational change management is often an afterthought.

The systems problem

The challenge extends beyond simply deploying AI tools. According to the Dayforce report, many organizations manage time tracking, payroll, staffing, skills development, and employee management in separate systems. For frontline managers making real-time decisions, these fragmented systems create friction—a schedule change can simultaneously affect labor costs, compliance requirements, coverage levels, employee experience, and service quality.

More than three-quarters of frontline managers (77%) reported that their systems fail to provide clear guidance when operational issues arise. Organizations are attempting to drive change through infrastructure that wasn't designed to work cohesively.

Building effective frontline AI adoption

Experts emphasize that successful integration requires more than technology deployment. Rebecca Wilson, senior vice president of human resources at logistics provider Kenco, stressed that frontline employees need practical training and AI tools that address real operational challenges. Kenco's approach includes company-wide AI training and warehouse-specific tools for tasks like warehouse management system navigation and wave planning.

Maura Howley, senior vice president at Ipsos, recommended that organizations embed AI into everyday workflows, create role-specific rather than generalized training, and invest in change management. An Ipsos study found that most employees either lack access to AI tools or rarely use them, compared to much higher adoption rates among managers and executives.

Prosper advised showing frontline workers how AI removes obstacles from their daily tasks rather than emphasizing corporate efficiency goals. He recommended pilot programs with genuine employee input, clear communication about job security, and role-specific training to prevent AI from becoming a source of workplace anxiety.

These findings were first reported by Joe McKendrick in Forbes, based on the Dayforce survey and interviews with industry leaders.