Generative Artificial Intelligence (GenAI) is rapidly becoming embedded in Saudi Arabia's digital transformation under Vision 2030, yet public awareness, adoption, and concerns surrounding these tools remain underexplored. This study provides an early snapshot of GenAI engagement among Saudi nationals. Using a nationwide survey of 330 participants across regions, age groups, and employment sectors, we examine seven dimensions of GenAI use: awareness and understanding, adoption patterns, perceived impacts, training needs, risks and barriers, data-sharing behaviors, and future expectations. Findings show that 93% of respondents actively use GenAI primarily for text-based tasks, while more advanced uses such as programming or multimodal generation are less common. Despite the prevalence of use, overall awareness and conceptual understanding remain uneven, with many reporting limited technical knowledge. Participants recognize GenAI's benefits for productivity, work quality, and understanding complex information, yet caution that sustained reliance may undermine critical thinking and key professional skills. Trust in AI-generated outputs remains cautious, with widespread concerns about privacy, misinformation, and ethical misuse, including potential job displacement. Respondents show strong interest in structured GenAI training that combines foundational skills, domain-specific applications, and clear guidance on privacy, ethics, and responsible use. These results establish a baseline for GenAI engagement in Saudi Arabia and highlight priorities for policymakers and developers: expanding AI literacy, ensuring culturally and linguistically aligned GenAI solutions, and strengthening frameworks for privacy and responsible deployment.

翻译：生成式人工智能（GenAI）在沙特阿拉伯《2030年愿景》的数字化转型进程中正迅速普及，然而公众对这些工具的认知、采用情况及相关担忧仍未得到充分探讨。本研究提供了沙特国民参与生成式人工智能的早期概览。通过对全国范围内330名参与者（覆盖不同地区、年龄组和就业领域）的问卷调查，我们考察了生成式人工智能使用的七个维度：认知与理解、采用模式、感知影响、培训需求、风险与障碍、数据共享行为以及未来预期。研究结果显示，93%的受访者主要将生成式人工智能用于文本处理任务，而编程或多模态生成等更高级的应用则相对较少。尽管使用普遍，但整体认知和概念理解仍不均衡，许多人表示技术知识有限。参与者认可生成式人工智能在提升生产力、工作质量和理解复杂信息方面的益处，但也警示长期依赖可能削弱批判性思维和关键专业技能。人们对人工智能生成内容的信任态度谨慎，普遍担忧隐私、错误信息和伦理滥用（包括潜在的职业替代）等问题。受访者对结构化生成式人工智能培训表现出强烈兴趣，期望培训能结合基础技能、领域特定应用，并提供关于隐私、伦理及负责任使用的明确指导。这些结果为沙特阿拉伯的生成式人工智能参与度建立了基准，并为政策制定者和开发者指明了重点方向：提升人工智能素养、确保生成式人工智能解决方案符合文化和语言特性，以及加强隐私保护和负责任部署的框架。