AI adoption gap widens between executives and employees

New research shows that executives are adopting artificial intelligence at a faster rate than their employees, though many acknowledge they do not fully grasp the technology’s capabilities. A survey of 7,675 U.S. adults—including 1,960 executives and business owners and 1,471 employees—revealed that 53% of leaders use generative AI, compared to 38% of other workers. The disparity grows when examining agentic AI, where executives are 2.7 times more likely to adopt it (18% versus 7%). This data was published in a June report by Channel V Media, which conducted the research through Proper Insights and Analytics.

Leaders primarily deploy AI for research purposes, while employees tend to use it for general internet searches. The findings suggest executives are steering AI toward advanced applications such as content creation and knowledge-based tasks, whereas much of the workforce remains stuck with basic search functions. The report highlights a clear divide in how different levels of an organization integrate AI into their daily workflows.

Despite their higher adoption rates, executives remain hesitant about relying on AI in critical areas. A full 77% of them prefer human interaction for banking, financial services, and healthcare, mirroring the cautious approach taken by employees. The report advises that companies should account for these reservations when promoting AI-driven solutions to customers, ensuring transparency about the technology’s limitations.

A separate study by Emergn, a technology consulting firm, further exposes a significant gap in AI proficiency. Nearly one in five senior leaders (18%) admitted to exaggerating their understanding of AI, while 27% fear their careers could be at risk if they do not improve their skills within the next year. Additionally, 19% of executives report feeling anxious about AI-driven changes, and 20% say they are overwhelmed by how the technology is reshaping their roles. Emergn CEO Alex Adamopoulos emphasized that pretending to understand AI only delays addressing genuine knowledge gaps.

The pressure to appear knowledgeable may influence how executives introduce AI tools to their teams. While leaders currently drive adoption, their own uncertainties could determine the pace and approach of broader workplace integration. The disconnect between perceived expertise and actual competence suggests that training and education will play a key role in bridging this gap.

Executives Admit Knowledge Gaps and Career Pressures Over AI

A study by Emergn found that 18% of U.S. senior leaders admitted to pretending to know more about AI than they actually do. This suggests a disconnect between their public stance and their actual understanding of the technology.

Nearly 27% of the 350 surveyed leaders said their career advancement depends on improving AI skills within the next year. Many also reported stress related to AI’s rapid changes, with 19% experiencing anxiety or sleep disruption over the issue.

Additionally, 27% would consider switching jobs for better AI training, while 20% feel unprepared due to AI’s growing impact on their roles. These findings highlight concerns about competence and job security among executives.