The Rise of Performative AI: Workers Fake Expertise to Meet Expectations

The drive to appear tech-savvy often masks a significant disconnect between staff and leadership. While 45% of workers feel forced to integrate AI tools even when they lack confidence in their utility, only 28% believe their managers actually understand how the technology is used in practice. Andrea Derler, a principal researcher at Visier, notes that this performative behavior creates a feedback loop that hinders genuine organizational learning. When employees hide their struggles or lack of experience, companies fail to identify where AI tools effectively add value and where they fall short.

This culture of pretense is further fueled by a lack of clear corporate strategy. Nearly 60% of surveyed employees reported uncertainty regarding their employer's long-term plan for AI, leading to widespread anxiety about job security. While some workers are 'loud working'—publicly showcasing their AI skills to stay relevant—others, like job seeker Cristina Estupiñán, find themselves manufacturing enthusiasm during interviews just to satisfy employer expectations. Experts suggest that rather than pushing mandates, executives should foster transparency, prioritize upskilling, and create environments where staff can openly discuss both the successes and failures of AI integration.