53% of Laid-Off Workers Blame AI, But Only 22% Were Told

A Resume Genius survey of 1,000 US workers laid off in the past two years reveals a significant perception gap: 53% believe AI or automation played a role in their job loss, yet only 22% received direct confirmation from employers. Another 31% suspect AI involvement without formal disclosure. The report highlights generational and industry divides, with 66% of Gen Z and 75% of tech workers attributing layoffs to AI. Employers most often cite cost-cutting (37%) or restructuring (31%) rather than AI, suggesting a transparency gap that could impact trust and employer branding. Key signal: 53% of laid-off US workers believe AI contributed to their job loss, but only 22% received direct confirmation from employers. For hiring leaders, this matters because for CHROs and TA leaders, this signals a growing expectation of transparency around AI-driven workforce changes. As AI adoption accelerates, employees are more likely to attribute layoffs to automation, even when not explicitly stated. This perception gap can affect employer brand, candidate trust, and retention of remaining staff. Proactive communication about the role of AI in restructuring may become a competitive advantage in talent attraction and retention, especially among younger workers who are more sensitive to these issues. Teksands view: The data is a wake-up call: employees are drawing their own conclusions about AI's role in layoffs, and employers are staying silent. That silence is a risk. If you're cutting roles and AI is even a minor factor, say so. Otherwise, you're letting the rumor mill define your employer brand. For hiring leaders, this also means candidates from AI-affected layoffs may carry skepticism into interviews. Address it head-on in your EVP and interview processes.