The article discusses the potential impact of large language models, specifically OpenAI’s ChatGPT, on the job market. It highlights a research paper by OpenAI that suggests at least 80% of the US workforce will be affected by AI, with 10% of work being replaced by large language models. The article also presents data on the AI substitution rates for various occupations in China, indicating which professions are most likely to be replaced by AI.
This article discusses the potential of AI, specifically large language models like GPT-4, to replace various professions, with the highest susceptibility seen in jobs like translation, insurance underwriting, and playwrights. However, it also highlights that jobs requiring human skills that are innate or do not require deep learning are less likely to be replaced by AI, challenging the notion that higher labor costs and more complex tasks necessarily lead to higher AI substitution.
This article discusses the process of standardizing and categorizing job positions using AI and text learning, with the aim of avoiding data misinterpretation due to incorrect classifications. The standardized job database, built from billions of recruitment data, will be used for further data analysis to understand trends in income, experience, and AI’s impact on various occupations.
This article analyzes the potential impact of disruptions in Taiwan’s supply chain on China’s industries, highlighting the geographical distribution of highly dependent companies and the need for diversification to mitigate risks.