A University of Konstanz survey of 1,105 employees in May 2026 found that workplace AI use rose only marginally from 35% to 38% year-over-year, and much of that adoption is happening informally without strategic oversight from employers. The slow, uneven uptake risks widening existing gaps between knowledge workers and manual laborers, large and small firms, and employees with different education levels.
Adoption driven by employees, not employers
Only 55% of AI users said the tool they use most often was officially introduced by their employer. The rest are acquiring hands-on experience on their own initiative. Companies remain behind on governance, secure infrastructure, and workforce training. Florian Kunze, head of the study and professor of organizational behavior at the University of Konstanz, said, "In many organizations, the major AI revolution has not unfolded as a planned transformation process so far. Instead, many employees are experimenting with AI, while employers are still lagging behind when it comes to establishing clear policies, providing training and implementing secure AI solutions."
Small organizations show the largest gaps in support structures. Only 11% of employees in small organizations have received AI training, and just 10% report binding rules on AI use. Larger organizations provide these structures far more often. For leaders shaping internal AI strategy, targeted AI Senior Leadership Courses can help bridge the gap between employee experimentation and organizational governance.
Persistent divides by occupation, education, and company size
In office and knowledge-based roles, 49% of employees now use AI. In production-related and manual occupations, the figure is 25%. The gap has stayed largely unchanged despite growth in both groups. Education tells a similar story: 56% of employees with high educational attainment use AI at work, compared with 21% among those with lower attainment. Employees with more education also hold more positive expectations about the technology and discuss its adoption more openly.
Elena Gerdiken, a doctoral researcher at the Future of Work Lab in Konstanz, said, "The findings show that the AI transformation is unfolding unevenly across society. Employees in knowledge-intensive occupations, those with higher levels of education and those working in larger organizations are currently benefiting most from the new opportunities and advancement potential that AI offers. Without targeted support measures, there is a risk that existing inequalities will become further entrenched."
Societal concern outpaces personal worry
Forty percent of employees expect AI and automation to hurt the labor market over the next decade. Yet only 17% worry about losing their own job. Concrete organizational change from AI remains limited in workers' eyes: just 12% think AI has reduced entry-level positions, and 23% see it making a meaningful contribution to their organization's value creation.
Carolina Opitz, a doctoral researcher at the Future of Work Lab Konstanz, said, "Both the risks and the economic potential associated with the technology are currently perceived more strongly at the societal level than in employees' everyday working lives."
Why this matters for executives and HR leaders
The data points to a clear disconnect: employees are moving on AI while formal organizational frameworks lag behind. Without clear rules, job-relevant training, and secure tools - especially in small and medium-sized enterprises - companies risk informal, inconsistent use that creates compliance exposure and entrenches workforce inequality. The researchers recommend communicating AI initiatives more clearly, establishing binding usage policies, and developing AI solutions suited to a broader range of occupations. For managers building these capabilities, structured programs such as AI for Managers Courses offer a practical starting point.
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