Advanced Manufacturing's "Rather Deliver Food Than Work in Factories" Dilemma: 30 Million Talent Gap and ¥100K Monthly Salary Still Can't Fill Positions
Five ministries including MOHRSS issue guidelines to assist high-quality manufacturing development, 30 million talent gap at 48% shortage rate, 70% of smart manufacturing positions pay over ¥10,000 monthly—when "Iron Triathlon" (food delivery, express delivery, ride-hailing) income exceeds factory workers, advanced manufacturing is experiencing a profound transformation in perception, compensation and future.
When Food Delivery Drivers Earn ¥6,803/Month Surpassing Factory Workers, How Can Smart Manufacturing's 9 Million Talent Demand Break Through?
In January 2026, news that a traditional machinery listed company in Hangzhou Linping offered ¥12,000 monthly salary to recruit application engineers and mechanical engineers but only hired two fresh graduates in half a year trended again on social media. In stark contrast, food delivery drivers earn an average monthly income of ¥6,803, with salary increases exceeding 36% after six months on the job, over 10% higher than construction workers and factory workers.
This is an extremely divided employment market.
On one side is the Ministry of Education, MOHRSS, and MIIT’s prediction that “by 2025, China’s manufacturing industry’s ten key fields will face a talent demand gap approaching 30 million, with a shortage rate of 48%”; on the other is young people’s choice to “rather engage in ‘Iron Triathlon’ than enter factories.” When MOHRSS and four other ministries issued “Opinions on Strengthening Human Resources Services to Assist High-Quality Manufacturing Development” on December 11, this battle to break through manufacturing talent challenges has begun.
Dual Dilemma: The Vicious Cycle of "Can't Recruit" and "Can't Retain"
The advanced manufacturing talent dilemma is not only “can’t recruit,” but also “can’t afford to nurture, can’t retain.”
Liu Bing, General Manager of Kunshan Taigong Precision Machinery Co., Ltd., who has worked in the industrial mother machine industry for over 20 years, has a representative pain point: “Currently, the industrial mother machine industry has a high-end technical talent gap. What’s lacking are not ‘recruits’ who only understand theoretical knowledge. What enterprises want are comprehensive talents with strong industry knowledge reserves, hands-on practical abilities, and communication skills, who understand both software and hardware.”
Cui Can, CEO of Wiwiot Technology (Shenzhen) Co., Ltd., faces an even more realistic predicament: “When a company internally cultivates a talent, it may take two or three years without output, which not only increases the company’s operating costs but also bears the risk of talent loss. After two or three years of cultivation, they leave for other more lucrative companies and industries, unable to retain them.”
The data is more straightforward. According to MOHRSS predictions, by 2025, the smart manufacturing field will need 9 million talents, with an expected talent gap of 4.5 million. This gap is mainly concentrated in technical positions such as electrical, mechanical, software, and hardware engineers, which require extremely high professional skills and practical experience.
From position type analysis, technical R&D and sales positions constitute the main demand. Embedded software development (2.11%), hardware engineer (2.08%), and algorithm engineer (1.66%) rank at the top, reflecting the industry’s dependence on intelligent equipment R&D and Industrial Internet of Things technology. Smart manufacturing engineer positions have the highest recruitment ratio, reaching nearly 40% (37.31%), with typical positions including algorithm engineers, MES system engineers, electrical engineers, lean manufacturing engineers, digital engineers, etc.
The more severe reality is that these high-end positions require long cultivation periods and high difficulty, with seriously insufficient market supply, leading to fierce competition among enterprises and rising salary levels.
Salary Differentiation: ¥100K Monthly Can't Recruit, Yet Factory Workers Earn Less Than Delivery Drivers
Advanced manufacturing’s compensation market shows extreme differentiation.
At the high end, according to data released by Maimai Gaoping Talent Think Tank in March 2026, among the TOP10 technical positions with new job postings, large model algorithms (¥68,051), artificial intelligence engineers (¥60,768), and algorithm engineers (¥52,381) topped the high-salary positions. The “2022 Beijing Human Resources Market Compensation Big Data Report” published by Beijing Municipal Human Resources and Social Security Bureau shows that among management and technical high-precision talents, the median salary for intelligent/advanced manufacturing talents ranked second and third in both categories, reaching ¥553,300 and ¥289,200 respectively.
Nandu Big Data Research Institute collected nearly 1,000 smart manufacturing-related recruitment information showing that 70% of positions pay over ¥10,000 monthly. Specific position salary data shows: robotics engineer 30K-50K/month, HarmonyOS IoT engineer 20K-30K/month, smart hardware engineer 20K-30K/month, embedded development engineer 15K-25K/month, microcontroller engineer 10K-15K/month.
But at the grassroots level, the situation is completely different. According to the “2023 China Blue-Collar Employment Research Report” released by the China New Employment Forms Research Center, food delivery drivers have an average monthly income of ¥6,803, about ¥900-1,200 higher than construction workers and factory workers. Meanwhile, food delivery drivers, ride-hailing drivers, and courier workers all see salary increases exceeding 36% after six months on the job, over 10% higher than construction workers and factory workers.
This salary differentiation directly leads to differentiation in talent flow. Young people would rather be food delivery drivers or couriers than factory workers. Even high-end technical positions face competitive pressure from industries like internet and finance.
Chen Jianwei, Professor at the National Academy of Development and Strategy, University of International Business and Economics, pointed out: “Currently, talent shortages in advanced manufacturing, new materials and other fields are particularly evident. Technological progress and industrial upgrading have brought structural talent shortages. With the rise of smart manufacturing, corporate demand for talents with backgrounds in automation, artificial intelligence, Internet of Things and other technologies has increased sharply. For traditional industry transformation and upgrading, demand for talents with both technical and management capabilities is strong.”
Companies should ensure that:
Internal decision-makers are aligned before starting the search
Interview stages are well-structured and scheduled efficiently
Feedback is provided quickly and professionally
The candidate experience is respectful and transparent
A smooth recruitment process not only improves hiring success, but also strengthens your employer brand inside a tight and highly connected talent community.
Industry Differentiation: Machinery/Equipment/Heavy Industry Has Greatest Demand, New Energy Emerges Prominently
From industry distribution, smart manufacturing talent demand is highly concentrated in three major fields.
Machinery/Equipment/Heavy Industry accounts for 18.7% of total demand, becoming the subdivided field with the greatest talent demand. This reflects the urgent need for technological upgrading in traditional manufacturing’s transformation to intelligence. The “14th Five-Year Plan for Smart Manufacturing Development” issued by MIIT and seven other ministries clearly states that by 2035, large-scale manufacturing enterprises will fully adopt digitalization and networking, with backbone enterprises in key industries basically achieving intelligence.
Computer Software Industry ranks second with 10.9% share, highlighting the core position of software technology in smart manufacturing. MES (Manufacturing Execution System) intelligent manufacturing system has become the most core skill demand, accounting for 15%. Key technologies for implementing MES intelligent manufacturing mainly include IoT, big data analysis, artificial intelligence, cloud computing, automation and other technologies. From data collected by Nandu Big Data Research Institute, automation-related skills also account for as high as 14.7%, with computer, electrical, big data and other skill demands all exceeding 8%.
New Energy Industry ranks third with 10.1% demand share, reflecting emerging talent demand brought by energy structure transformation. Huayou Cobalt, a high-tech enterprise engaged in R&D and manufacturing of new energy lithium battery materials and cobalt new materials, has seen over 3,000 fresh graduates enter through campus recruitment alone since 2021. As the lithium battery industry entered rapid growth, Huayou Cobalt added nearly 20,000 employees in 2022 and expects to add about 10,000 employees this year.
In nearly two years, Huayou Cobalt has attracted nearly 200 graduates from “985” and “211” universities, with nearly 50 graduating from Tsinghua University and Peking University. Zhang Zhenyu, Deputy Director of the company’s Human Resources Department, feels: “This is indeed surprising, but it also reflects current young people’s thinking. They desire to transform what they learn into what they use, so they consider advanced manufacturing as one of their main career directions.”
Additionally, instrumentation/industrial automation, automotive, semiconductor/integrated circuits, and communication/network equipment industries are also actively recruiting smart manufacturing-related talents.
Geographic Differentiation: From Beijing-Shanghai-Guangzhou to Yangtze River Delta, Industrial Clusters Drive Talent Aggregation
The geographic coordinates of talent flow are being rewritten.
From city distribution, this correlates with provincial distribution of national advanced manufacturing clusters. Shanghai, Jiangsu, Guangdong, Zhejiang and other regions with more advanced manufacturing clusters also have higher smart manufacturing talent demand ratios. In MIIT’s “2022 Smart Manufacturing Demonstration Factory List and Excellent Scenarios” announcement, Shanghai, Guangdong, and Zhejiang had 3, 3, and 4 companies respectively awarded “2022 Smart Manufacturing Demonstration Factory” titles, with Shanghai also having 12 companies awarded “2022 Smart Manufacturing Excellent Scenario” titles.
Shanghai, Jiangsu, and Guangdong’s smart manufacturing talent demand ratios reach 15%, 12%, and 18% respectively, totaling over 45% of national demand. Among them, the Pearl River Delta region’s smart manufacturing positions account for 20%, becoming the second-largest talent aggregation area after the Yangtze River Delta.
These regions actively implement policies based on original smart manufacturing industry development, further leveraging demonstration factories’ leadership roles. Shanghai Xuhui District launched “Several Opinions on Promoting High-Quality Development of Advanced Manufacturing” in 2025-2026, focusing on supporting manufacturing entities in fields like artificial intelligence and biomedicine, offering up to ¥10 million in one-time support and up to ¥30 million in development support for cultivating advanced manufacturing entities.
Jiangsu Province’s machinery and equipment industry seizes opportunities in emerging industries like new energy, accelerating toward mid-to-high end. Jiangsu’s new power equipment covers nine major links: “generation, transmission, transformation, distribution, use, dispatch, communication, comprehensive energy services, power network security”; new energy vehicles and supporting capabilities in power batteries, motor control, intelligent networking and other fields are at the domestic leading level.
Zhejiang Hozon New Energy Automobile Co., Ltd. has continuously increasing demand for intelligent R&D talents, heat pump and motor control core auto parts product R&D talents, and highly skilled workers with years of vehicle manufacturing experience. CCTV’s “Graduation Season Employment Watch” data shows that in the second quarter this year, recruitment demand for skill-based talents like 3D printing engineers, materials engineers, maintenance engineers increased by about 20% compared to the first quarter, with cross-disciplinary talents being relatively scarce.
Skills Revolution: From CAD/PLC to AI/Digital Twins, Lifelong Learning Becomes Essential
Smart manufacturing’s skill requirements for talents are undergoing a revolution.
Traditional Industrial Skills Remain Important. Familiarity with various operating systems has become a hot keyword in job skill requirements. Positions requiring mastery of CAD (Computer-Aided Design), PLC (Programmable Logic Controller), ERP (Enterprise Resource Planning), WMS (Warehouse Management System), PLM (Product Lifecycle Management) and other industrial automation system application skills all account for 6%-7% of demand.
Emerging Technical Capabilities Become Bonus Points. Lean production, deep learning, circuit design, mechanical engineering, robotics algorithms, data analysis, IoT, Python, Java, intelligent design, machine learning, informatization and other skills also frequently appear in recruitment position requirements.
Cross-Disciplinary Composite Capabilities Become Core Competitiveness. Algorithm engineers, automation control engineers, smart manufacturing engineers and other high-end technical positions have increasingly composite capability requirements, requiring both deep professional technical foundations and cross-disciplinary vision and systems thinking abilities. These talents require long cultivation periods and high difficulty, with seriously insufficient market supply, leading to fierce competition among enterprises.
Future Skill Demand Changes Will Further Intensify Talent Challenges. With the development of artificial intelligence, digital twins, industrial metaverse and other technologies, smart manufacturing engineers need to continuously update their knowledge reserves. By 2025, engineers mastering artificial intelligence and machine learning technologies are expected to command salary premiums exceeding 40%; talent demand growth rates for those familiar with digital twin technology will exceed 50%.
The “15th Five-Year Plan” (2026-2030) for smart manufacturing development proposes cultivating 100,000 “artificial intelligence + manufacturing” composite talents. For “bottleneck” fields like semiconductor equipment and industrial mother machines, establish “challenge-based” mechanisms to promote joint breakthroughs in core component technologies like high-end sensors and robot motors between enterprises and research institutions.
This rapidly changing technology landscape requires talents to possess lifelong learning capabilities and also tests enterprises’ talent cultivation systems.
Generational Differences: Under-30s Account for 60%, Opportunities and Challenges Behind Rejuvenation
Smart manufacturing talents show a significant trend toward youth.
Surveys show that talents under 30 account for over 60% of smart manufacturing professionals, becoming the industry’s absolute main force. This young talent structure is closely related to smart manufacturing’s technical characteristics. Rapid development of new technologies like artificial intelligence, Industrial Internet, and 5G requires young talents with solid theoretical foundations and strong innovation consciousness.
Advantages of Youth Are Obvious. Smart manufacturing talents under 30 participate in technical training an average of 4 times annually, far higher than traditional manufacturing’s 1.8 times. This continuous learning attitude enables them to keep pace with cutting-edge technologies like Industrial Internet, digital twins, machine vision, providing enterprises with continuous innovation momentum.
Lack of Experience Becomes a Shortcoming. Smart manufacturing requires not only theoretical knowledge but also deep understanding of manufacturing processes and process parameters, which often requires long-term practical accumulation. How to maintain young talents’ advantages while compensating for experience shortcomings has become an important issue in enterprise talent management. Some leading enterprises have achieved good results through “mentorship systems” and “project rotation” methods to accelerate young talents’ growth.
The case of Li Jialong, a graduate of Shandong Technician Institute’s New Energy Vehicle Manufacturing and Assembly major, is highly representative. “The production line’s automation degree is getting higher and higher, which requires our workers to not only be familiar with gearbox disassembly but also operate intelligent equipment.” Zhou Dan, factory HR manager, introduced that facing digital transformation, ordinary workers need longer adaptation time, but Li Jialong had contact with intelligent equipment in school and got started faster.
Li Jinyong, Deputy General Manager of Beijing No.1 Machine Tool Works Okuma (Beijing) Machine Tool Co., Ltd., stated: “Intelligent production lines must meet multi-variety, high-quality production requirements. Frontline technicians urgently need to strengthen learning in Industrial Internet, production management systems and other knowledge areas. The company will expand intelligent factories and recruit more smart manufacturing talents. We plan to cooperate with schools to establish targeted classes to better meet employment needs.”
Industry-Education Integration: “15th Five-Year Plan” and 100,000 Composite Talent Cultivation Goal
Facing the 30 million talent gap, industry-education integration becomes the key to breaking through.
Policy-Level Top Design. MOHRSS and eight other ministries issued “Action Plan for Accelerating Digital Talent Cultivation to Support Digital Economy Development (2024-2026),” aiming to leverage digital talents’ foundational role in supporting the digital economy. The “15th Five-Year Plan” (2026-2030) for smart manufacturing development proposes cultivating 100,000 “artificial intelligence + manufacturing” composite talents; establishing and improving intelligent manufacturing equipment rental standard systems, forming 2-3 national-level intelligent manufacturing rental service innovation pilot fields.
University Major Settings Follow Industry Changes. Technical colleges take employment as orientation, with major settings following industry changes. Shandong Technician Institute established the New Energy Vehicle Manufacturing and Assembly major in 2021, with thousands of graduates annually. Companies recruiting at the institute include well-known enterprises in automotive, machinery, and aerospace fields. Guangzhou Light Industry Technician Institute’s new majors like Artificial Intelligence Technology Application are also popular, with graduates from new majors enjoying higher compensation and better stability.
School-Enterprise Cooperation for Targeted Cultivation. Support universities in establishing “artificial intelligence + manufacturing” cross-disciplinary programs, piloting joint engineering master’s and doctoral cultivation bases between leading enterprises and universities. Implement “Digital Craftsman” cultivation plans to enhance frontline workers’ intelligent operation capabilities through vocational skills training. Zhejiang University Jiaxing Research Institute specially established a Digital Security Innovation Center, which has attracted 60 master’s and doctoral talents, actively expanding cooperation space for local Jiaxing enterprises’ digital transformation development needs.
Enterprise Internal Training System Construction. In the training room of Beijing Industry and Trade Technician Institute, Li Chunguang’s PLC programming class for the Smart Manufacturing Department has 60% practical training, and only through repeated training under simulation conditions can theory and practice integrate. Li Long, workshop supervisor at Huawei Machine Co., Ltd.’s second workshop, stated that the precision machinery maintenance industry also needs new skilled talents. Hou Yuhang from Guangzhou Light Industry Technician Institute’s Smart Manufacturing Technology Application major works with ease based on intelligent robotic arm operation and programming courses.
Breaking Regional Resource Flow Barriers. In the Yangtze River Delta, Pearl River Delta and other regions, build “smart manufacturing” industrial corridors to promote free flow and sharing of technology, talent, data, and equipment resources. Establish national-level integrated circuit and biomedicine trustworthy industrial data spaces in Shanghai; build optoelectronics industry data hubs in Wuhan; establish automotive industry data sharing platforms in Chengdu-Chongqing.
Three Recommendations for Job Seekers
First, embrace advanced manufacturing’s “new opportunity.” Although society still has stereotypical impressions of manufacturing as “labor-intensive,” modern manufacturing driven by technology and innovation is completely different from traditional factories. Seventy percent of smart manufacturing positions pay over ¥10,000 monthly, with robotics engineers earning 30K-50K monthly, far exceeding the long-term income ceiling of “Iron Triathlon” jobs like food delivery and express delivery. More importantly, advanced manufacturing provides long-term value in technical accumulation and career development, not simple short-term income comparisons.
Second, emphasize cultivating “cross-disciplinary” composite capabilities. Pure mechanical, electrical, or software backgrounds are depreciating; what’s truly scarce are comprehensive talents who “understand both software and hardware,” “can handle both theory and practice,” “possess both technical and management skills.” Participating in smart manufacturing competitions, accessing real equipment in training bases, accumulating practical experience through school-enterprise cooperation projects can rapidly enhance competitiveness. General Manager Liu Bing, with over 20 years in the industrial mother machine industry, emphasizes that enterprises want not “recruits” but talents with industry knowledge reserves, hands-on practical abilities, and communication skills.
Third, choose deeply integrated industry-education cultivation paths. Rather than studying outdated courses at traditional institutions, choose technical colleges with close enterprise cooperation or participate in “targeted class” cultivation. Graduates from Shandong Technician Institute, Guangzhou Light Industry Technician Institute, Beijing Industry and Trade Technician Institute and other institutions get started faster after employment because they had contact with intelligent equipment during school, enjoying higher compensation. As Zhou Dan said, facing digital transformation, ordinary workers need longer adaptation time, but students who had contact with intelligent equipment in school can quickly become enterprises’ core forces.
In 2026, China’s advanced manufacturing industry stands at a historic inflection point: the 30 million talent gap proves the urgent need for industrial upgrading, the 9 million smart manufacturing talent gap exposes serious educational supply lag; ¥100K monthly salaries unable to recruit high-end talents reflect market’s fierce competition, while delivery drivers earning more than factory workers reflects traditional manufacturing’s continuing decline in attractiveness.
Breaking through this talent dilemma cannot happen overnight. As Professor Chen Jianwei pointed out, to solve manufacturing’s talent shortage, we must face problems squarely, provide talents with good growth environments, and enhance manufacturing’s attractiveness and cohesion for talents. High work intensity, low compensation, and limited development are main bottlenecks restricting talent flow to manufacturing and must be fundamentally changed.
But the direction for breaking through is clear: industry-education integration, school-enterprise cooperation, the “15th Five-Year Plan’s” 100,000 composite talent cultivation goal, “artificial intelligence + manufacturing” cross-disciplinary construction, “Digital Craftsman” cultivation plan implementation. The “Opinions on Strengthening Human Resources Services to Assist High-Quality Manufacturing Development” issued by MOHRSS and four other ministries provides institutional guarantees at the policy level for this transformation.
For everyone in this field, this is both challenge and opportunity. When “rather deliver food than work in factories” becomes a social phenomenon, when 70% of smart manufacturing positions pay over ¥10,000 monthly yet still have “positions without people,” this precisely indicates: choosing the right track, mastering composite skills, seizing industry-education integration cultivation opportunities can find high-value positioning in this market with a 30 million talent gap.
As Samual Lin, Deputy Director of Suntzu Recruit headhunter, felt: “Young people desire to transform what they learn into what they use, so they consider advanced manufacturing as one of their main career directions.” From “labor-intensive” to “technology-intensive,” from “rather deliver food” to “actively entering factories,” this cognitive revolution has only just begun.
Manufacturing is the main body of the national economy, the foundation of nation-building, the tool of national prosperity, the foundation of national strength, and an important “reservoir” for China’s employment. With traditional industries accelerating transformation and strategic emerging industries flourishing, manufacturing’s production methods and efficiency are changing. The “more people, more power” model can no longer adapt to and meet current many enterprises’ development needs.
From “can’t recruit, can’t afford, can’t retain” to “industry-education integration, school-enterprise co-construction, targeted cultivation,” from the 30 million talent gap to the 100,000 composite talent cultivation goal, this road is still long. But at least at 2026’s opening, this industry has proven its firm belief in the future in the most direct way—policy support, salary increases, industry-education integration.
Data Sources:
- Ministry of Education, MOHRSS, MIIT “Manufacturing Talent Development Planning Guide”
- MOHRSS and eight other ministries “Action Plan for Accelerating Digital Talent Cultivation to Support Digital Economy Development (2024-2026)”
- MOHRSS and four other ministries “Opinions on Strengthening Human Resources Services to Assist High-Quality Manufacturing Development”
- China New Employment Forms Research Center “2023 China Blue-Collar Employment Research Report”
- Nandu Big Data Research Institute Smart Manufacturing Recruitment Data Analysis
- Zhaopin 2025 First Half Skilled Worker Recruitment Data
