Tech companies are increasingly citing artificial intelligence adoption as justification for workforce reductions, but industry observers say the narrative obscures more complex business dynamics at play. The phenomenon, dubbed "AI-washing," allows executives to frame layoffs as inevitable technological progress rather than strategic business decisions or cost-cutting measures. This framing can deflect criticism from shareholders and the public while positioning companies as forward-thinking innovators adapting to market conditions. The reality of these workforce reductions appears more nuanced than a simple AI-versus-jobs scenario. Companies may be consolidating roles, addressing over-hiring from previous years, or making opportunistic cuts during periods of market uncertainty—factors that existed long before recent AI breakthroughs. By attributing layoffs primarily to AI implementation, firms can avoid deeper scrutiny into their operational decisions and financial management, while employees and policymakers are left grappling with the question of whether these job losses represent genuine technological displacement or convenient corporate messaging.