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Theory丨Prospect of labor and employment trends driven by new quality productivity

author:Labor Daily
Theory丨Prospect of labor and employment trends driven by new quality productivity

With the continuous progress of science, with technology as the intermediary, scientific knowledge is transformed into technological inventions to promote the continuous innovation of production tools, and workers increase scientific knowledge and improve labor skills through learning. With the increase of skilled labor, the extension of labor involved in value creation has been expanded, and labor that did not exist or did not appear before has begun to become value-creating labor, and more and more workers are participating in the labor of value creation, and labor employment has shown a new development trend.

Promote structural changes in employment

Promote the diversification of jobs

At the macroeconomic level, the rise of new quality productivity has had a profound impact on labor productivity, industrial structure and technological innovation, which in turn has acted on the size of the employment sector and promoted profound changes in the employment market. The carrier of the job market is undergoing significant changes, the employment form is constantly adjusted, and the labor requirements are increasing day by day, all of which together lead to profound changes in job types and demand structure.

A large number of traditional jobs are being replaced by machines and software, and new ones are emerging. The new quality productivity promotes the rapid development of emerging industries and the digital economy, builds a wide-ranging, open and collaborative digital ecosystem, generates a large number of new jobs, and provides workers with broader employment opportunities. Taking the chip industry as an example, its rapid development has driven a large number of high-tech talents to enter the fields of chip design, chip foundry, and chip packaging, injecting new vitality into these fields. At the same time, technological progress has updated traditional jobs, such as the trend of automation, digitalization and intelligence in the manufacturing industry is becoming increasingly obvious, and the demand for technology-intensive positions such as software and hardware development, technical architecture, and implementation of operation and maintenance is growing, making the labor change from labor-intensive to technology-intensive, providing workers with better career choices.

Trigger substantial changes in labor relations

Promote the flexible development of employment relations

The vigorous rise of new quality productivity has given rise to many digital enterprises that adopt the platform organization model, relying on the digital platform supported by efficient data acquisition and transmission systems, advanced computing power and powerful data processing algorithms, to realize the integration of social production, distribution, exchange and consumption activities across time and space, across borders and departments. In this mode, the work tasks become quantifiable, dismantling, and contracting, and the enterprise decomposes the work of creative design, network marketing, and copywriting planning into fragmented tasks, and issues contracts to the society through the network platform. The platform is responsible for matching the right workers for these tasks, and the workers are paid for completing the labor tasks from the company through the platform. This new type of work not only improves work efficiency, but also promotes the rise of new forms of employment such as remote employment and flexible employment, breaking the restrictions of traditional fixed places and fixed working hours.

With the emergence of new production relations, the relationship between labor and employment has undergone profound changes. In addition to the traditional standard employment forms of signing labor contracts and establishing fixed labor relations, new models such as "online signing and joining", "cooperative joint ventures" and "profit sharing" based on the Internet have also emerged, including labor dispatch, outsourcing, crowdsourcing, part-time, platform employment, self-employment, retirement and re-employment, etc., making labor relations, working hours and management methods more flexible and flexible, and enterprises and workers can better adapt to market changes and improve the efficiency of human resource allocation. In the future, with the advancement of science and technology and market changes, flexible employment will become a more common and important form of employment, bringing more opportunities and challenges to workers and enterprises.

Boost productivity

Promote the intelligent transformation of working methods

The rise of new quality productivity has brought about the innovation of information technology, greatly improving the accuracy of labor and service, effectively reducing unnecessary processes and links, and significantly improving work efficiency. Generative AI tools that engage deeply with people have played a remarkable role in improving productivity. For example, the "Reading Robot" can independently complete the preliminary screening of medical images, accurately mark the lesions in the patient's films, quantitatively analyze the disease, and finally generate a discriminant report. The application of this technology not only greatly improves the efficiency of medical work, but also reduces the burden on medical workers. It is worth noting that although this AI technology will replace medical workers with primary skills to a certain extent, it will not completely replace senior medical talents such as surgeons, but on the contrary, it can assist surgeons to complete complex tasks more efficiently.

Digital technologies and smart machines have become indispensable and important tools in modern production. Based on the imagination and abstraction of the human brain, intelligent machines simulate and try to recreate the powerful "human brain", so that the machine can have human agency and creativity to a certain extent. This development trend has led to the phenomenon of "machine substitution", and the role of workers in the production process has gradually changed from the main party to the auxiliary, standing next to the production process to supervise and manage. In the future, labor output will be dominated by mental labor, and standardized, assembly-line manual labor will be more undertaken by intelligent machines. With the popularization and application of artificial intelligence technology, intelligent office and automated production will become a new trend and change the existing way of working.

Reinvent the need for vocational skills

Promote digital skills development

The core feature of the platform organization model is the separation of workers from specific positions, the work is more modular, and the work tasks are based on a "skill set", and a large number of single skills are gathered in the "skill set". The development of new quality productivity is more focused on digital skills such as data analytics, artificial intelligence, and programming. At the same time, it also involves the cross-integration of multiple disciplines and fields, and individuals need to continuously improve their communication skills, teamwork and problem-solving skills, cross-border integration skills, and innovative thinking, so as to effectively integrate and innovate knowledge and skills in different fields.

Under the influence of new productivity, "data" has become a basic and strategic resource for economic and social development, which means that a large amount of work is carried out with data as the core, which puts forward higher requirements for workers' digital skills and digital literacy. The social importance and market demand for digital skills are increasing, and mastering digital tools and skills has become the key to gaining an edge over the competition. Workers need to actively learn and improve their data analysis and digital skills, and be able to use tools such as data mining, statistical analysis, and AI technologies proficiently, such as becoming professional data analysts, AI engineers, or cybersecurity experts. With the use of these skills, workers can discover patterns and trends from massive data, provide decision-making support and innovation direction for industrial development, and promote sustainable and healthy economic and social development.

(The views expressed in this article are those of the author, and should not be construed as the views or recommendations of Labor Rights Weekly.) )