Our Take
The skills gap is not one problem but two separate ones, and most training programs address neither.
Why it matters
Organizations are hemorrhaging productivity and retention while investing in technical training that misses what workers actually need to stay and perform. This disconnect is now measurable and actionable.
Do this week
L&D leads: audit your current training catalog this week against both employer priorities (AI, automation, digital) and employee feedback (leadership, communication) so you can redesign before Q1 budget locks.
Employers and workers see two completely different skills crises
Chegg surveyed equal numbers of employers and employees across 10 frontline-heavy industries including retail, manufacturing, and finance. The gap in perception is stark. Employers identified AI and automation skills (36% of gaps) and digital or IT capabilities (24%) as the most urgent deficiencies. Employees pointed to leadership and people management (25%) and communication and teamwork skills (24%) as the biggest gaps in their workplaces.
The disconnect runs deeper than job title. Workers see the problem as partially structural: a management and culture issue, not only a technical one. Employers are focused on operational readiness for rapid technology change. Employees are focused on career mobility, advancement, and how they are led.
The operational and human costs are already severe
Nearly one-third of employers report spending more than eight hours a week, equivalent to a full working day, compensating for workforce skills gaps (per Chegg). In manufacturing, that figure reaches 46% (company-reported).
The fallout cascades. Employers cite increased mistakes and rework (34%), increased stress and burnout (33%), heavier workloads (31%), and overtime or longer shifts (29%). Morale is cracking. Nearly half of employers and more than one-third of employees have considered quitting because of stress caused by understaffing or capability gaps.
There is also a growing awareness lag around AI adoption itself. More than half of employees say AI is not currently used in their role, meaning they have no practical chance to build fluency on the job. The problem may not be an AI skills gap alone but an awareness gap. Employees do not yet recognize how rapidly workplace expectations are shifting around them.
Generic training without career application no longer works
Dan Rosensweig, CEO of Chegg, stated the core issue plainly: "What workers are telling us very clearly is that generic training without practical application or measurable career impact no longer works."
This means reskilling programs must do two things at once. They must help employees perform better in the roles they have today (addressing burnout and retention) while building capabilities for tomorrow (addressing employer pressure on AI and automation). Neither alone will stick.
The findings also suggest that organizations embedding practical AI exposure into daily workflows will see faster adoption and fluency than those offering standalone AI courses. And investments in leadership development and communication training may yield sharper retention gains than purely technical upskilling.