AI正在改变技术工作,但失业和信任差距依然存在,尽管收养率在上升。 AI is transforming tech work, but job losses and trust gaps persist despite rising adoption.

一项新的谷歌研究发现,全球90%的技术工人在工作中使用人工智能,比去年增加14%,主要用于编码、文档和调试,使用Gemini码等工具帮助工程团队广泛采用。 A new Google study finds 90% of tech workers globally use AI at work, up 14% from last year, primarily for coding, documentation, and debugging, with tools like Gemini Code Assist widely adopted across engineering teams. 尽管使用率很高,但对于AI生成代码的信任程度仍然参差不齐,只有20%的人表示强烈信心,且报告在代码质量方面的改进极少。 Despite high usage, trust in AI-generated code remains mixed, with only 20% expressing strong confidence and minimal reported improvements in code quality. 专家说明:AI有能力完成复杂的任务,但仍需要人的监督。 Experts note AI is capable of complex tasks but still requires human oversight. 这一转变与软件工作清单急剧下降(自2022年初以来下降了71%)以及最近的计算机科学毕业生失业率上升同时发生,超过了某些人文领域的比率。 The shift coincides with a sharp decline in software job listings—down 71% since early 2022—and rising unemployment among recent computer science graduates, surpassing rates in some humanities fields. 虽然人工智能被视为自动化重复的工作,但人们仍然担心就业流失,技能差距和行业作推动采用. While AI is seen as automating repetitive work, concerns persist over job displacement, skill gaps, and industry hype driving adoption. 科技公司和初创企业继续竞相提供人工智能编码工具,但长期成功取决于更广泛的流程变化、培训以及试点方案以外的经证明的价值。 Tech companies and startups continue competing to offer AI coding tools, but long-term success depends on broader process changes, training, and proven value beyond pilot programs.