The author reflects on the challenges faced by new graduates entering a job market that feels fundamentally broken. Despite their qualifications—good grades, multiple internships, and a degree in computer science—they find themselves unemployed. The term “white collar recession” surfaces regularly, highlighting the stark reality that many entry-level positions have vanished just as large cohorts of graduates flood the market. While official unemployment rates remain low, the author argues that the competition is fierce, with too many qualified candidates vying for too few opportunities. The narrative explores the long-term effects of automation and economic shifts on job availability. A decade ago, studies indicated that a significant portion of American jobs faced high risks due to automation, but subsequent analyses revealed a more nuanced picture. The reality now is that routine jobs are declining, while roles requiring social skills are not only growing but also paying better. The author points out that the job landscape has changed, leading to a situation where even a solid CV feels inadequate against an increasingly narrow entry corridor for employment. Amazon's approach to automation serves as a case study. The company is replacing many warehouse tasks with robots, raising questions about the future of human labor in such environments. While Amazon claims that automation creates new jobs and enhances productivity, the flattening or reduction of overall headcount in automated centers tells a different story. The author highlights a troubling trend where businesses prioritize minimizing human labor, questioning how many workers are truly necessary. This shift extends to teleoperated jobs, where workers in one country manage operations remotely in another, blurring the lines of traditional labor markets and pushing wages down. The implications are significant: as companies focus on automated systems, the value of human labor diminishes, leaving many potential employees feeling increasingly marginalized.