Analysis of the Impact of AI Technology Development on the Forming Machine Industry

Abstract: As core equipment in the manufacturing industry, forming machines are the foundation for supporting the development of high-end manufacturing, new energy, aerospace and other industries, and their technical level directly determines the production quality and efficiency of downstream industries. In recent years, the rapid iteration and industrial application of artificial intelligence (AI) technology have broken the traditional development model of the forming machine industry, triggering profound changes in multiple dimensions including industrial logic, competitive pattern, production mode and value creation. Based on a macro perspective of the industry, this paper analyzes the core impact of AI technology on the forming machine industry, judges the development trend of the industry, and dissects the current challenges, so as to provide theoretical reference and ideas for the high-quality development of the industry, without involving specific technical landing details and practical applications.

Keywords: AI Technology; Forming Machine; Industrial Transformation; Industry Pattern; Development Trend

1. The Core Impact of AI Technology on the Forming Machine Industry

(1) Restructure the Industry Development Logic and Promote the Iteration of Production Modes

The development logic of the traditional forming machine industry is "equipment hardware as the core", and the industry competition focuses on hardware indicators such as equipment precision and rigidity. The production process is highly dependent on the experience accumulation of senior technical personnel. Links such as process optimization, parameter adjustment and quality control all require manual intervention, resulting in production efficiency and quality stability being greatly affected by human factors. The application of AI technology has completely restructured this development logic, elevating "data" and "algorithms" to the core production factors of the industry, and promoting the transformation of the forming machine industry from "hardware competition" to "data + algorithm + hardware" collaborative competition.

At the production mode level, AI technology has broken the limitations of traditional forming machines' "single-machine operation" and "experience-based operation", promoting the iteration of production modes towards flexibility, unmanned operation and collaboration. With the help of AI's data analysis and independent decision-making capabilities, forming machines can quickly adapt to multi-variety and small-batch production, complete process switching without repeated manual debugging, greatly reducing the cost and difficulty of multi-variety production, which is in line with the current development trend of "personalized customization" and "flexible production" in the manufacturing industry. At the same time, the integration of AI technology with industrial Internet, digital twin and other technologies has promoted forming machines from "isolated equipment" to integrate into the whole factory collaborative production system, realizing the global optimization of the production process, breaking the information barrier of the traditional production mode, and improving the operation efficiency of the entire production system.

(2) Reshape the Industry Competitive Pattern and Reconstruct the Core Competitiveness of Enterprises

The popularization and application of AI technology are breaking the original competitive pattern of the forming machine industry, promoting the focus of industry competition to shift from "hardware manufacturing capacity" to "algorithm research and development, data processing and service capacity", and reconstructing the core competitiveness system of enterprises. The core advantages of traditional forming machine enterprises are concentrated on the hardware level such as equipment processing precision and production scale, and the industry competition is characterized by "serious homogenization and fierce price competition", making it difficult for small and medium-sized enterprises to compete with leading enterprises.

The application of AI technology provides an opportunity for industry participants to "overtake on curves". For leading enterprises, by laying out AI algorithm research and development and data platform construction, and deeply integrating AI technology into the product design and service system, they can further consolidate their market advantages, form an integrated competition model of "hardware + software + service", and improve product added value and customer stickiness. For small and medium-sized enterprises, there is no need to invest a lot of funds in researching core hardware. They can introduce mature AI solutions, focus on process optimization and service upgrading in segmented fields, create differentiated competitive advantages, and break the monopoly pattern of leading enterprises.

At the same time, AI technology promotes the restructuring of the industrial chain of the forming machine industry, and the industry division of labor changes from "linear division of labor" to "collaborative division of labor". The cooperation between machine tool manufacturing enterprises, AI technology enterprises, downstream application enterprises and scientific research institutions is becoming increasingly close, forming a closed-loop ecology of "research and development - production - application - optimization", promoting the concentration of industry resources to advantageous enterprises, and the industry concentration is gradually increasing, forming a new competitive pattern of "leading by the head and collaborating with small and medium-sized enterprises".

(3) Optimize the Industrial Value Chain and Improve the Overall Added Value of the Industry

The value chain of the traditional forming machine industry is mainly concentrated in the equipment production and sales links, with a single value creation. Enterprises' profits mainly rely on the one-time income from equipment sales, and the value of subsequent value-added links such as after-sales service and process optimization has not been fully explored. The application of AI technology has extended the value chain of the forming machine industry, promoting the industry's value creation to extend from "equipment sales" to "full-life cycle services", and greatly improving the overall added value of the industry.

In the front-end design link, AI technology can optimize the equipment design scheme through data analysis, shorten the research and development cycle, reduce the research and development cost, and improve the reliability and adaptability of the equipment; in the production link, AI technology can realize the precise control and optimization of the production process, reduce the scrap rate, improve the production efficiency, and reduce the enterprise's production cost; in the back-end service link, AI technology can realize predictive maintenance, remote diagnosis and other services of the equipment, extend the service life of the equipment, reduce unplanned downtime, provide comprehensive technical support for downstream enterprises, and form a diversified profit model of "equipment sales + operation and maintenance services + process optimization".

In addition, AI technology promotes the in-depth integration of the forming machine industry with downstream industries, accurately matches the needs of downstream industries through data analysis, provides customized production solutions for downstream enterprises, realizes the integrated supply of "equipment + service + process", further improves the value creation capacity of the industry, and promotes the transformation of the forming machine industry from "equipment manufacturing" to "intelligent manufacturing solution provider".

(4) Alleviate the Talent Bottleneck and Promote the Sustainable Development of the Industry

As a technology-intensive industry, the forming machine industry has long faced the bottleneck of shortage of senior technical personnel. The operation, debugging, process optimization and other links of traditional forming machines all require technical personnel with rich experience, and the training cycle of such talents is long and difficult, which is difficult to meet the needs of the rapid development of the industry, becoming an important factor restricting the high-quality development of the industry.

The application of AI technology has effectively alleviated this talent bottleneck. By converting the experience of senior technical personnel into AI algorithms and data models, it has realized the digitization, replicability and inheritance of experience, reducing the industry's dependence on senior technical personnel. Newcomers can operate forming machines integrated with AI technology after simple training, which greatly shortens the talent training cycle and reduces the talent training cost. At the same time, AI technology replaces manual repetitive labor, freeing technical personnel from tedious operation and debugging work, enabling them to focus on higher-value work such as process innovation and technology research and development, promoting the continuous improvement of the industry's technical level and realizing the sustainable development of the industry.

2. The Development Trend of the Forming Machine Industry Driven by AI Technology

(1) In-depth Integration of AI and the Industry, Intelligence Becoming the Industry Standard

In the future, AI technology will be deeply integrated with the forming machine industry, intelligence will become the standard configuration of forming machines, and the industry will gradually realize the full-process intelligence of "equipment independent decision-making, process independent optimization, quality independent control and operation and maintenance independent early warning". With the iteration of AI large models, edge computing and other technologies, forming machines will have stronger autonomous learning capabilities, which can real-time optimize process parameters according to changes in production data, adapt to external interference such as raw material fluctuations and environmental changes, and realize dynamic adaptive adjustment of the production process.

At the same time, the integration of AI technology with digital twin and industrial Internet will be further deepened, forming a closed-loop system of "virtual simulation - physical production - data feedback - optimization and iteration", promoting the transformation of the forming machine industry from "single-machine intelligence" to "factory-level intelligence", realizing the collaborative optimization of the entire production process, and improving the production efficiency and quality level of the entire manufacturing industry. It is expected that by 2028, the penetration rate of models with AI intelligent functions among newly sold forming machines in the world will exceed 60%, and intelligence will become the core focus of industry competition.

(2) Accelerated Advancement of Localization, Independent Innovation Becoming the Core Support

AI technology provides an opportunity for domestic forming machine enterprises to "overtake on curves", promoting the domestic forming machine industry to accelerate the breakthrough of core technical bottlenecks and improve independent innovation capabilities. At present, leading domestic forming machine enterprises have begun to lay out AI technology research and development, combining the characteristics of domestic downstream industry needs, developing intelligent forming machines adapted to new energy, aerospace and other fields, and gradually breaking the monopoly of foreign-funded enterprises in the high-end market.

In the future, domestic forming machine enterprises will further increase investment in the research and development of core technologies such as AI algorithms and data platforms, promote the in-depth integration of AI technology and forming machines, and improve the intelligence level and core competitiveness of products. At the same time, the government will increase policy support and financial support for the industry, promote the collaborative innovation of scientific research institutions, enterprises and universities, improve the industry innovation system, promote the transformation of the domestic forming machine industry from a "manufacturing power" to a "manufacturing power", and enhance its voice in the global market.

(3) Coordinated Development of Greenization and Intelligence, Practicing the Concept of Sustainable Development

Under the guidance of the "double carbon" goal, the green transformation of the manufacturing industry has become an inevitable trend. As a high-energy-consumption and high-emission industry, the green development of the forming machine industry has become the industry consensus. The application of AI technology will promote the coordinated development of greenization and intelligence in the forming machine industry, reduce equipment energy consumption and pollutant emissions, and improve resource utilization efficiency by optimizing production processes and rationally allocating resources.

With the help of AI's data analysis and optimization capabilities, forming machines can realize precise control of the production process, reduce raw material waste and energy consumption; through predictive maintenance, extend the service life of equipment, reduce equipment scrap rate, and reduce resource waste; at the same time, AI technology can promote the in-depth integration of forming machines with new energy, energy conservation and environmental protection and other industries, develop new green and intelligent forming machines, practice the concept of sustainable development, and promote the high-quality and green development of the industry.

(4) Increased Industry Concentration and Collaborative Development of the Industrial Ecology

The application of AI technology will promote the resource integration and industrial upgrading of the forming machine industry, and the industry concentration will gradually increase. In the future, leading enterprises with AI technology research and development capabilities and full industrial chain service capabilities will further expand their market share, while small and medium-sized enterprises lacking core competitiveness will be gradually eliminated or transformed into supporting enterprises in segmented fields, forming an industrial pattern of "leading by the head and collaborating with small and medium-sized enterprises".

At the same time, the industry will form a collaborative development ecology of "machine tool manufacturing enterprises + AI technology enterprises + downstream application enterprises + scientific research institutions". All parties will give play to their own advantages, realize resource sharing and complementary advantages, promote the rapid application and iteration of AI technology in the forming machine industry, promote the overall improvement of the industry's technical level, and form a virtuous cycle of "research and development - production - application - optimization".

3. Challenges Faced by the Application of AI Technology in the Forming Machine Industry

(1) Core Technical Bottlenecks Have Not Been Broken, and Independent Innovation Capabilities Are Insufficient

At present, the application of AI technology in the forming machine industry still faces core technical bottlenecks. Especially high-end AI algorithms, data processing platforms and other core technologies are mainly monopolized by foreign enterprises. Domestic enterprises have insufficient independent research and development capabilities and lack core technologies and algorithm models with independent intellectual property rights. At the same time, the integration depth of AI technology and the forming machine industry is not enough, and the AI application of most enterprises is still in the initial stage, failing to give full play to the core value of AI technology, and it is difficult to meet the needs of the high-end manufacturing field.

(2) Lack of Data Security and Standardization System

The application of AI technology relies on a large amount of production data and process data, and the production data of the forming machine industry involves the core technology and trade secrets of enterprises, so data security is facing severe challenges. At present, there is no perfect data security guarantee system in the industry, and problems such as data leakage and data abuse occur from time to time, restricting the promotion and application of AI technology. At the same time, the industry lacks unified AI technology application standards and data standards, making it difficult for equipment and data of different enterprises to be interconnected, forming "data islands", which affects the collaborative application of AI technology and the overall development of the industry.

(3) High Industry Investment Cost and Great Adaptation Difficulty for Small and Medium-sized Enterprises

The research and development and application of AI technology require a lot of investment in funds and talents, especially the high investment cost in links such as high-end AI algorithm research and development and data platform construction. For small and medium-sized forming machine enterprises, it is difficult to bear the high investment cost, resulting in great difficulty in the promotion and application of AI technology in small and medium-sized enterprises. At the same time, some small and medium-sized enterprises lack the awareness and ability of AI technology application, and it is difficult to deeply integrate AI technology with their own production and operation, which further restricts the comprehensive popularization of AI technology in the industry.

(4) Unreasonable Talent Structure and Shortage of Compound Talents

The application of AI technology in the forming machine industry requires compound talents who not only master AI technology but also are familiar with forming machine processes. At present, the talent structure in the industry is unreasonable. Traditional technical personnel lack AI-related knowledge, while talents in the AI field are not familiar with the process characteristics of the forming machine industry. The problem of shortage of compound talents is relatively prominent, which restricts the in-depth integration of AI technology and the forming machine industry and affects the process of intelligent transformation of the industry.

4. Conclusions and Prospects

The rapid development of AI technology is profoundly changing the development pattern of the forming machine industry, promoting the industry's transformation from "experience-driven" to "data-driven", and upgrading from "hardware competition" to "collaborative competition", which has a far-reaching impact on multiple dimensions such as production mode, competitive pattern, value chain and talent training. AI technology not only solves the traditional pain points of the forming machine industry, improves the production efficiency and quality level of the industry, but also injects new impetus into the high-quality development of the industry, promoting the industry to develop in the direction of intelligence, greenization and collaboration.

In the future, with the continuous iteration of AI technology and the improvement of the industry's innovation capacity, the forming machine industry will gradually break through core technical bottlenecks, realize the in-depth integration of AI technology and the industry, and intelligence and greenization will become the mainstream trends of the industry's development. Domestic forming machine enterprises will use AI technology to achieve "overtaking on curves", improve their independent innovation capabilities and global competitiveness, and promote the high-quality development of the industry. At the same time, the industry will also face multiple challenges such as core technologies, data security and talent shortages. It is necessary for the government, enterprises and scientific research institutions to work together to increase research and development investment, improve the standard system, and cultivate compound talents, so as to promote the healthy and sustainable application of AI technology in the forming machine industry.

Looking forward to the future, AI technology will become the core engine for the high-quality development of the forming machine industry, promoting the transformation of the forming machine industry from "equipment manufacturing" to "intelligent manufacturing solution provider", providing strong support for the development of downstream high-end manufacturing, new energy, aerospace and other industries, and helping the manufacturing industry achieve transformation, upgrading and high-quality development.