Nearly Half of Workers Fake AI Use to Please Bosses

Nearly half of full-time workers in the United States have exaggerated their artificial intelligence usage or expertise to colleagues and leadership, according to a new report by Visier. The survey, which polled 1,000 US workers across various sectors including healthcare and finance, found that 48% admitted to "performative AI use" to keep pace with corporate expectations. This trend stems from significant pressure from corporate leaders to integrate AI into workflows, often without a clear understanding of its capabilities or implications.

The report indicates that while AI has demonstrably impacted many workers' roles and careers over the past two years—with 54% of respondents stating their jobs have "significantly changed due to AI"—the nature of this impact is varied. Some employees report improved job performance and satisfaction, while others have experienced negative effects. Widespread anxiety and uncertainty surrounding AI are prevalent, with nearly 60% of respondents expressing uncertainty about their employer's plans to manage AI-driven changes. Furthermore, 45% feel pressured to use AI even when they lack confidence in its effective application.

The underlying driver for this "performative AI use" appears to be a lack of trust in leadership. Workers are prioritizing the appearance of AI enthusiasm over actual results, believing that demonstrating interest in AI is as, or more, important than achieving tangible outcomes. This sentiment underscores a critical gap in communication and support from management regarding AI implementation. The survey highlights that simply instructing employees to "have AI do it" is insufficient; clear guidance on how to use AI effectively is essential.

To address these concerns, the Visier report suggests that leaders should move beyond the pressure of "AI FOMO" (fear of missing out) and actively listen to employee feedback. Transparency regarding how AI might affect their work and providing necessary training and upskilling opportunities are crucial. Specifically, 32% of respondents called for "more AI training and upskilling opportunities," while 31% requested "greater transparency" on AI-related issues. By fostering a more supportive and informed environment, organizations can encourage genuine AI adoption rather than superficial engagement.