📋 Tender Overview
The head of the Taiwanese manufacturer of Electronics Foxconn stated that generative artificial intelligence is able to take up to 80% of production tasks at industrial enterprises, but the remaining 20% of operations require the participation of qualified workers. The company conducted an internal study, but the results were a surprise even for the leadership of Foxconn. The results of the study
Generative artificial intelligence (AI) is able to cope with 80% of the production load onAvodes are a new generation, and for the remaining 20%, qualified specialists will be needed. This was written by Nikkei Asia with reference to the head of the Taiwanese manufacturer Foxconn Electronics Yun Liu.
Foxconn is the worlds largest electronics manufacturer (electronic components and finished products), mainly a direct executor under contracts with other companies.
Yun Li said that at the beginning of 2025, Foxconn performed the production process, and according to the results ofX experiments found that in the process of AI, knowledge accumulates in areas such as setting up equipment and eliminating faults, and about 80% of operations can replace people. However, people still do the remaining 20% of work better. Before this experiment, we thought that perhaps we could replace people, all people. But people do the work in excess of these 80% much better than generative AI, said the head of Foxconn.
Generative AI works on the basis of learning algorithms, such asGenerative competition networks (GANS), which are trained on large volumes of data, and then generate new samples. This type of AI can adapt to solving a variety of problems, from the automated creation of content to the development of prototypes and help in scientific research.
In the future, production will largely rely on digital modeling and factories with AI. Already in May 2025, FoxConn was developing new generation robots on the NVIDIA ISAAC platform, teaching them a millionNah scripts in simulations for instant adaptation to real conditions. As Mr. Liu noted, in developed countries seeking reinchusterization, AI and robotics can eliminate the shortage of labor and reduce dependence on the labor of migrants.
FoxConn leadership, known as the largest iPhone collector, defines three directions by its driver growth driver until 2030: intellectual electric cars, intellectual production and smart cities.
Modernization of production
In 2025 KoFoxConn MPani positions his business as a leader in AI-production and seeks to become a key player in the development of smart cities requiring significant computing power.
Therefore, Foxconn invests in more AI for its factories. Liu said that the company creates its own model focused on production, called Foxbrain, which will combine Llama 3 and 4 from META* (the company is recognized as an extremist organization in Russia) and data obtainedFrom her own operations in order to create what he described as an agent workflow for specific applications.
Foxconn, together with partners, including Quanta Computer, Wistron and Gigabyte, is already introducing the NVIDIA OMNIVERSE DIGITAL TWIN platform to design and optimize plants. On the basis of Nvidia Metropolis, Foxconn is developing the infrastructure of smart cities - projects have already been launched in the cities of Gaosyun in Taiwan and Sonor in Mexico.
Foxconn can already use robotsTo create robots on May 21, 2025, and the head of the Taiwanese manufacturer Yun Liu, it seems, finds this achievement amazing.
According to CNews, in Russia robots-inspectors with AI, capable of identifying the smallest defects of the chips are better than Japanese and Korean analogues, are created on the basis of domestic developments and are already undergoing trial operation at Russian enterprises.
The cost of goods
The head of the Taiwanese manufacturer Foxconn Yun Liu put forward the theory that rich countries are doing twoHoup in order to maintain the low cost of industrial goods: immigrations allow you to attract more people who are ready to work for low wages and transfer production to countries with low gross domestic product (GDP), where it is simply lower than costs.
The chairman of the giant of contract production sees restrictions for these trends, since in the end of the country with low GDP will end, and immigration will become a political problem. Generative AI and robotics will fill inTaken, said Yun Liu. This is an opportunity that I see when the country becomes more prosperous - working with low GDP will be performed by Genai and robotics. I think this is a real challenge for all developed countries, Liu added. I urge the leaders of developed countries to follow this very carefully.
*META (the company is recognized as an extremist organization in Russia).
