With the advancement of AI technology, many occupations have been affected and some jobs have been replaced by automation. Here are some of the occupations that may be affected or partially replaced by AI:

Manufacturing: automation and robotics have already replaced a portion of jobs that require a lot of repetitive labor, such as assembly line workers and quality inspectors.

Customer service: many companies are using AI chatbots to replace traditional customer service agents to handle simple questions and requests and improve service efficiency.

Data entry workers: automated data processing and recognition technologies (e.g., OCR) allow a large number of data entry tasks to be done by AI systems.

Banking and finance: the application of AI in the financial field, such as intelligent investment, risk management and credit approval, has made the work of some financial practitioners affected.

Retail: automation and unmanned sales technologies have made the work of some retail workers (such as cashiers) affected.

Warehousing and logistics: automated warehouse management and unmanned transportation systems have reduced job opportunities for some warehouse workers and porters.

Transportation: the development of self-driving technology may affect the jobs of drivers (e.g. cab drivers, truck drivers).

Agriculture: smart agricultural robots and automation technology could replace some farmers in manual labor.

Copy editing and proofreading: AI technology has been able to perform basic copy editing and proofreading work, which may affect the work of some editors and proofreaders.

Human resources: AI systems can perform preliminary work such as resume screening and interview appointments, affecting the work of some human resources practitioners.

It is important to note that while AI may replace some jobs, it also creates many new jobs. At the same time, many industries and occupations will experience some degree of change, and people will need to learn new skills to adapt to these changes. In many cases, the synergy between AI technology and the human workforce will be more able to fulfill its potential and increase productivity.