美国码农，正被AI“大屠杀”

Core Viewpoint - The article discusses the significant impact of AI on the job market for programmers in the U.S., highlighting a drastic decline in employment rates and the challenges faced by new graduates in securing jobs in the tech industry [2][3]. Group 1: Employment Trends - AI-related layoffs are projected to reach 1.17 million by 2025, marking the highest level since 2020 [4]. - The employment rate for programmers has plummeted by 27.5%, indicating a loss of nearly one-third of jobs in this sector [5][6]. - A study from Stanford University reveals that the employment rate for programmers aged 22 to 25 has decreased by nearly 20% since the end of 2022 due to the proliferation of AI tools [10]. Group 2: Challenges for Graduates - Graduates from computer science programs, such as those from Stanford and the University of Toronto, are facing unprecedented difficulties in finding jobs, with many opting to pursue further studies due to a lack of opportunities [21][25]. - The job market has shifted dramatically, with many positions now requiring at least one year of experience, which most new graduates do not possess [31]. - A significant decline in entry-level job opportunities has been noted, with the share of new hires with less than one year of experience dropping by 50% from pre-pandemic levels [101]. Group 3: AI's Role in Job Market Dynamics - AI is not merely a tool for enhancing productivity but is increasingly replacing programming roles, leading to a crisis in the software engineering field [18]. - A report indicates that 90% of tech positions now utilize AI tools, a sharp increase from just 14% in 2024 [51]. - Despite the rise of AI, the quality of AI-generated code is concerning, with AI code exhibiting a higher error rate compared to human-written code, leading to significant technical debt [60][62]. Group 4: Industry Transformation - The nature of programming jobs is evolving, with employers now seeking higher-level skills beyond mere coding, such as understanding client needs and managing the software development lifecycle [57]. - The article emphasizes the need for programmers to adapt to new roles that involve critical thinking and strategic business understanding, as traditional coding tasks are increasingly automated [116][118]. - The shift towards AI in programming has created a paradox where experienced developers find themselves reviewing and correcting AI-generated code, which can slow down their productivity [91].