AI浪潮下，哪些科研岗位会受到冲击

Core Viewpoint - The rise of artificial intelligence (AI) is significantly impacting various sectors, including the scientific community, leading to a reduction in demand for certain research positions, particularly those involving basic coding and data processing tasks [3][4][5]. Impact on Job Market - AI has notably decreased the need for roles traditionally filled by graduate students and postdoctoral researchers, especially in coding and data handling [3][4]. - Entry-level positions in computer modeling are at risk as AI outperforms novice scientists in these tasks [3][4]. - The demand for scientific paper translation and related jobs is also declining due to AI advancements [3][4]. Changes in Recruitment Practices - Research teams are becoming more cautious in hiring graduate assistants and postdoctoral researchers, influenced by funding uncertainties and AI's ability to take on some of the workload [5]. - There is a concern that insufficient hands-on experience for students and technicians may negatively impact the scientific workforce in the long term [5]. AI's Limitations in Advanced Tasks - Most researchers believe that AI still struggles with high-level scientific tasks, such as determining which ideas are worth pursuing [6]. - Human involvement remains crucial for generating hypotheses and preventing AI from producing misleading outputs [6]. Current Job Security for Laboratory Technicians - Laboratory technicians and early-stage researchers engaged in "wet lab" experiments are currently in a relatively secure position, as AI and automation cannot yet perform many intricate tasks [7]. - Certain roles, such as those involving protein structure imaging, still require human expertise despite advancements in AI tools [7]. Future Adaptability - The ability to adapt and respond to changes brought by AI may define the future of science, with those who can adjust finding opportunities in the new landscape [8].