97%程序员用生成式AI提效，但越用越担心失业。
Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
- 基于专家访谈设计问卷，调研生成式AI在软件开发中的应用。
- 组织采纳率越高，员工效率提升越明显（r=0.47），但焦虑感也上升（r=0.55）。
- 输出不准、合规难、伦理问题成主要障碍，超半数担忧就业安全。
本研究采用混合方法，基于专家访谈设计问卷，调查生成式AI对IT行业软件开发的影响。正在进行的调查初步结果显示，97%的IT从业者使用生成式AI工具，主要为ChatGPT。受访者报告个人生产力显著提升，并感知到组织效率随生成式AI采纳程度提高而改善（r = .470, p < .05）。然而，组织层面的AI采纳强度与员工就业安全感下降呈强正相关（r = .549, p < .001）。主要采纳挑战包括：输出不准确（64.2%）、监管合规问题（58.2%）和伦理顾虑（52.2%）。该研究提供了生成式AI在经济与组织层面影响的早期实证洞察。
原文摘要 · Abstract (English)
This study investigates the impact of Generative AI on software development within the IT sector through a mixed-method approach, utilizing a survey developed based on expert interviews. The preliminary results of an ongoing survey offer early insights into how Generative AI reshapes personal productivity, organizational efficiency, adoption, business strategy and job insecurity. The findings reveal that 97% of IT workers use Generative AI tools, mainly ChatGPT. Participants report significant personal productivity gain and perceive organizational efficiency improvements that correlate positively with Generative AI adoption by their organizations (r = .470, p < .05). However, increased organizational adoption of AI strongly correlates with heightened employee job security concerns (r = .549, p < .001). Key adoption challenges include inaccurate outputs (64.2%), regulatory compliance issues (58.2%) and ethical concerns (52.2%). This research offers early empirical insights into Generative AI's economic and organizational implications.
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