When The Algorithm Says No: Ai-Powered Hiring And What It Costs U.S. College Graduates
AI-powered hiring has moved from experiment to standard practice at some of the largest employers in the United States. For the professionals navigating this system, the results are measurable: thousands of applications, hundreds of rejections, and a job search process that rewards volume over substance. These systems carry embedded biases, operate without meaningful transparency, and create access barriers that disproportionately harm graduates and professionals from lower-income and underrepresented backgrounds. Higher education institutions must respond through curriculum reform, career services redesign, and active advocacy for algorithmic accountability.
