[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fOzZY00AIjky9qBSJKTZ2S819_zfWAMLbKawks4VbZCA":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1710,"AI浪潮下，哪些科研岗位会受到冲击？","\u003Cp>\u003Cstrong style=\"font-size: 18px;\">人工智能浪潮正冲击各行各业，科学界也未能幸免。《自然》网站刊载的研究显示，40余位学界与业界AI使用者坦言，AI已显著降低对编写代码、处理基础数据人员的需求，这类工作多由研究生、博士后等承担；计算机建模等领域的初级岗位及科学论文翻译等周边工作也面临冲击，涉及“纯认知任务”的工作或将被AI迅速接管。\u003C/strong>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">AI对建模和数据处理岗影响最为剧烈，曾专门聘请程序员编写科研代码包的工作已成过去，AI可代劳模拟创建与数据分析。虽未引发大规模裁员，但AI已抑制新岗位诞生，科研团队招聘研究生助理、博士后时愈发谨慎。有科学家警示，这可能导致人才梯队断裂，影响科研界长期发展。已有证据显示，美国翻译协会科学与技术部门会员数不到两年半锐减26%，部分译者被迫转型。\u003C/span>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">多数研究者认为，AI难以胜任科学家高阶任务，无法提出新颖见解，人机协作才是构思研究方向的最佳方式，人类参与可避免AI“幻觉”问题，但也有观点认为高阶认知类科研岗未来也可能受波及。\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">目前，实验室技术员与从事“湿实验”的早期研究人员处境相对安全，AI难以完成诸多精细实验任务。研究显示，即便有AI工具辅助，人工密集的蛋白质结构成像法仍被沿用，AI难以精准识别部分蛋白，仍需人工分析，适应变革成为科研未来的发展方向。\u003C/span>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px; color: rgb(255, 255, 255);\">\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】科技日报 https://epaper.stdaily.com/statics/technology-site/index.html#/home?isDetail=1¤tNewsId=42c99df8408b4c74a52c5980aa893a28¤tVersionName=%E7%AC%AC04%E7%89%88%EF%BC%9A%E5%9B%BD+%E9%99%85¤tVersion=4&timeValue=2026-02-26\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C/span>\u003C/p>","","https://image.51xinwei.com/2026/03/e6db5785127a4b70af39fc39682b624f/行业变革.jpg","https://image.51xinwei.com/2026/03/thumbs/e6db5785127a4b70af39fc39682b624f/行业变革.jpg",0,1,100,"2026-03-02 15:31",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https://xinwei-dev-test.oss-cn-shenzhen.aliyuncs.com/intelligent/audio%3Af426a008-adff-4193-bcd9-a1bd92085171%3A0.wav?Expires=1772446205&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=1uGA5EmLWZmfET4Kb5noyUkTU2w%3D",4122396,"f426a008-adff-4193-bcd9-a1bd92085171","2026-03-02 17:30","Which research positions will be impacted by the AI wave?","\u003Cp>\u003Cstrong style=\"font-size: 18px;\">The artificial intelligence wave is impacting all industries, and the scientific community is no exception. A study published on the Nature website shows that more than 40 scholars and industry professionals using AI have admitted that AI has significantly reduced the demand for people who write code and handle basic data, which are usually undertaken by graduate students and postdoctoral researchers; entry-level positions in fields such as computer modeling and peripheral tasks such as translation of scientific papers are also under pressure, and jobs involving \"pure cognitive tasks\" may be quickly taken over by AI.\u003C/strong>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">The impact of AI on modeling and data processing positions is the most severe. The practice of hiring programmers to write research code packages has become a thing of the past, as AI can now handle simulation creation and data analysis. Although it has not caused large-scale layoffs, AI has suppressed the emergence of new positions, and research teams have become increasingly cautious when hiring graduate assistants and postdoctoral researchers. Scientists have warned that this could lead to a break in the talent pipeline, affecting the long-term development of the research community. Evidence has already shown that the number of members in the Science and Technology Department of the American Translators Association has dropped by 26% in less than two and a half years, with some translators forced to change careers.\u003C/span>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Most researchers believe that AI is unlikely to handle high-level tasks of scientists, nor can it come up with novel insights. Human-machine collaboration is the best way to conceive research directions, and human involvement can avoid the \"AI hallucination\" problem. However, there are also views suggesting that high-level cognitive research positions may also be affected in the future.\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Currently, laboratory technicians and early-stage researchers engaged in \"wet experiments\" are in relatively safer positions, as AI is unable to complete many fine experimental tasks. Research shows that even with the assistance of AI tools, labor-intensive methods for protein structure imaging are still used, as AI finds it difficult to accurately identify certain proteins, requiring manual analysis. Adapting to change has become the direction of development for future research.\u003C/span>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cspan style=\"font-size: 18px; color: rgb(255, 255, 255);\">\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] Science and Technology Daily https://epaper.stdaily.com/statics/technology-site/index.html#/home?isDetail=1¤tNewsId=42c99df8408b4c74a52c5980aa893a28¤tVersionName=%E7%AC%AC04%E7%89%88%EF%BC%9A%E5%9B%BD+%E9%99%85¤tVersion=4&timeValue=2026-02-26\u003C/span>\u003C/p>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this site to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any questions about the facts in the article, please verify with the relevant parties. The views expressed in the article are not the views of this site and are for reference only.）\u003C/span>\u003C/p>","https://xinwei-dev-test.oss-cn-shenzhen.aliyuncs.com/intelligent/audio%3Acec035c1-f1af-4ac3-97b7-b931887e92a5%3A0.wav?Expires=1774838407&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=w0QLLnLQnj9rTQ4t7vUeImgGGX4%3D","cec035c1-f1af-4ac3-97b7-b931887e92a5",5741966]