Social employment issue

The rapid development of Artificial Intelligence Translation (AI Translation) does create a number of issues in the job market, especially in translation and related fields. The following are some of the major employment issues:

I. Job Substitution and Employment Reduction
Automation and Intelligence: the wide application of AI translation technology, especially when dealing with a large number, repetitive and simple translation tasks, has led to the replacement of many basic translation positions by automated and intelligent systems. This leads to a reduction in the number of relevant positions, which directly affects the employment of translators.
Cost-benefit considerations: in order to reduce costs and improve efficiency, enterprises prefer to use AI translation systems to handle translation tasks. This further intensifies the employment pressure on traditional translators.

II. Mismatch between skill transformation demand and employment
Skill transformation demand: with the popularity of AI translation technology, the market's skill requirements for translators are also changing. Traditional translators need to shift to areas such as training and management of machine translation systems, content editing and localisation to cope with market changes. However, this transition places higher demands on the professionalism and technical skills of translators, and many may face a skills mismatch.
Training and re-education needs: In order to cope with the shift in skills demand, translators need to receive appropriate training and re-education. However, relevant training and re-education resources in the market are limited and costly, and many personnel may not be able to afford such costs.

III. Restricted career development and promotion
Reduced promotion opportunities: with the popularity of AI translation technology, promotion opportunities for traditional translation positions may be limited. This is because enterprises are more inclined to use AI translation systems to handle translation tasks, and rely less on traditional translators.
Limited career development: in addition to fewer promotion opportunities, translators' career development may also be limited. Due to the continuous development and popularisation of AI translation technology, the traditional translation field may gradually shrink, resulting in limited space for career development for translators.

IV. Decline in Salary and Treatment
Decline in salary level: Due to the wide application of AI translation technology, the demand for translation services in the market may decrease, which will lead to a decline in the salary level of translators. In addition, due to the lower cost of AI translation system, enterprises may further compress the salary level of translators.
Decline in job stability: As AI translation technology becomes more popular, the job stability of translators may also be affected. Enterprises may adjust the number and structure of translators according to market demand and technological development, resulting in a portion of the personnel facing the risk of unemployment or changing jobs.

To cope with these problems, the government, enterprises and translators need to work together. The government can introduce relevant policies to support the training and re-education of translators and encourage enterprises to adopt the human-machine collaborative translation model. Enterprises can strengthen internal training and re-education, improve the professionalism and technical skills of translators, and explore new business models and market opportunities. Translators also need to actively learn and adapt to the development of new technologies to enhance their competitiveness.