首页|Researchers from Beijing Institute of Technology Discuss Research in Artificial Intelligence (Embracing artificial intelligence in the labour market: the case o f statistics)
Researchers from Beijing Institute of Technology Discuss Research in Artificial Intelligence (Embracing artificial intelligence in the labour market: the case o f statistics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from the Beijing Institu te of Technology by NewsRx journalists, research stated, “In an era marked by ra pid advancements in artificial intelligence (AI), the dynamics of the labour mar ket are undergoing significant transformation. A common concern amidst these cha nges is the potential obsolescence of traditional disciplines due to AI-driven p roductivity enhancements.” Our news reporters obtained a quote from the research from Beijing Institute of Technology: “This study delves into the evolving role and resilience of these di sciplines within the AI-influenced labour market. Focusing on statistics as a re presentative field, we investigate its integration with AI and its interplay wit h other disciplines. Analyzing 279.87 million online job postings in the United States from 2010 to 2022, we observed a remarkable 31-fold increase in the deman d for AI-specialized statistical talent, diversifying into 932 distinct AI-relat ed job roles. Additionally, our research identified four major interdisciplinary clusters, encompassing 190 disciplines with a statistical focus. The findings a lso highlight a growing emphasis on specific hard skills within these AI roles a nd the differences in demand for AI talent in statistics across economic sectors and regions. Contrary to the pessimistic view of traditional disciplines’ survi val in the AI age, our study suggests a more optimistic outlook.”
Beijing Institute of TechnologyArtific ial IntelligenceEmerging TechnologiesFinance and InvestmentMachine Learnin g
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