GoKawiil
Tech News
Employers are automating and restructuring routine entry-level tasks with AI tools, cutting down on the tedious 'busy work' junior employees once performed. Managers report that this efficiency comes at a cost: those repetitive tasks had served as practical training grounds for building skills and judgment.
A working paper from CESifo researchers Robert Fairlie and Jane Wu concludes there is no significant evidence that AI has widely reduced hiring or increased displacement among recent college graduates, contradicting an earlier Stanford study that found weaker entry-level employment in AI-exposed fields. The researchers note firms have recently increased AI spending and task automation, suggesting graduates in 2026 could face different conditions than those studied so far.
A new report from the Center for an Urban Future finds that entry-level tech jobs in New York City have fallen roughly by half, even as the city's overall tech sector keeps expanding. The report notes major firms including OpenAI, Anthropic and Google have expanded their New York presence, with tech employment up 160% between 2008 and 2023, second only to San Francisco's growth.
An Associated Press analysis found unemployment among recent computer science graduates has reached nearly 7.1%, higher than several humanities majors. One recent Tulane graduate, Jack Zemke, struggled with hundreds of unanswered applications before landing a job at a civil engineering firm through a networking encounter, later moving to an AI startup. Colleges are responding by adding business-focused internships and AI-tool training as the job market shifts.
A Center for an Urban Future analysis of New York City hiring data found postings for entry-level 'computer and mathematical' roles have fallen 49 percent since 2022. The nonprofit's director, Jon Bowles, says the traditional first rung of the tech career ladder is under intense pressure, with similar declines showing up in administrative, financial, media and education entry-level postings.
An opinion piece features students weighing whether a college degree still holds value as AI systems increasingly handle tasks once assigned to entry-level workers. The discussion centers on shifting expectations for new graduates entering a job market reshaped by automation.
A Stanford study finds that AI's disruption of the job market falls hardest on entry-level workers whose roles depend on formal, documented, codifiable skills. In contrast, experienced employees whose jobs rely on tacit, practice-based expertise have actually seen employment gains, according to the report cited by Ars Technica.