Pain Points in Smart Manufacturing: Hardware Surplus, Software Weakness, and Talent Imbalance—China's Manufacturing Sector Faces a Triple Development Scissors Gap

　　


　　Recently, the Baineng Information team conducted intensive visits to four leading PCB manufacturing plants within 48 hours, carrying out in-depth research into the current state of smart manufacturing implementation in the industry. During these on-site visits, we genuinely witnessed the achievements of hardware upgrades in China's PCB manufacturing sector: automated equipment such as laser drilling machines, automatic lamination systems, AOI optical inspection devices, and AGV intelligent logistics solutions have become widely adopted and technologically mature. Leading factories routinely invest tens of billions—and sometimes even over one hundred billion RMB—in automation hardware, making the industry’s hardware modernization visibly evident.
　　However, looking beyond this surface-level automation boom and delving into core operational areas like production management, data governance, and intelligent decision-making, we encountered a profound structural dilemma across the industry: while domestic manufacturers’ hardware automation capabilities now rival international standards, their software-driven core competencies—such as digital operations, data governance, and AI-powered decision-making—lag significantly behind, creating critical weaknesses.
　　This stark contrast—hardware racing ahead at full speed while software suffers from severe underinvestment—has created a “scissors gap” that fundamentally constrains Chinese manufacturing’s transition toward advanced smart manufacturing.
　　This is not an isolated issue limited to the PCB industry; rather, it represents the most common and critical pain point in China’s broader manufacturing transformation. Today, we openly share our authentic observations and deep reflections from this industry research with every Baineng partner, hoping to inspire collective progress and clarify our shared mission and direction forward.
　　I. The First Scissors Gap: Massive Hardware Investment vs. Extremely Limited Software Spending

　　1. Hardware Investment: Bold, Decisive, and Routinely Reaching Tens of Billions
　　PCB manufacturing is capital-intensive, with leading enterprises typically investing between RMB 2–5 billion per new plant, and large-scale projects often exceeding RMB 10 billion. Companies consistently adopt the same logic when making hardware decisions: if it boosts capacity or yield, investments of hundreds of millions or even tens of billions can be approved swiftly. A high-end HDI production line requires approximately RMB 800 million to RMB 1.2 billion in equipment investment; a single automated 5G/high-frequency board line costs about RMB 128 million in hardware alone. Hardware accounts for more than 90% of total CAPEX (capital expenditure).
　　2. Software Investment: Marginalized, Dependent on Subsidies, and Under 5%
　　In sharp contrast, software and digitalization spending typically ranges only between 1%–3%, rarely exceeding 5%. Even more concerning is the prevailing mindset:
　　(1) Misaligned perception: software is viewed as a “cost,” whereas hardware is seen as an “asset.”
　　(2) Reluctance to invest: companies would rather purchase another RMB 100-million machine than spend RMB 1 million on data governance.
　　(3) Comparative data: Chinese manufacturers generally prioritize hardware over software. PCB factories typically allocate only 0.5%–1.5% of revenue to IT budgets, compared to 3%–5% among internationally advanced enterprises.
　　Conclusion: Hardware investment operates at the “billion-yuan level,” while software investment remains at the “million-yuan level”—a difference of hundreds of times. This represents the largest cognitive scissors gap.
　　II. The Second Scissors Gap: Senior Manufacturing Executives Earn High Salaries, While IT Talent Is Undervalued and Underpaid
　　1. Manufacturing Executives: Industry Veterans, Core Decision-Makers, Earning Million-Yuan Annual Salaries
　　PCB manufacturing relies heavily on accumulated process expertise. Most senior executives have 20–30 years of hands-on manufacturing experience and firmly control strategy and resources. Plant managers and directors typically earn RMB 500,000–800,000 annually, VPs earn RMB 800,000–1.5 million, and executives at listed companies often receive multi-million-yuan compensation packages.
　　2. IT Professionals: Assigned Lower Ranks, Paid Half the Salary, and Given Minimal Authority
　　By comparison, IT teams suffer from systemic disadvantages in rank, compensation, and influence:
　　(1) Low organizational status: most factories lack a CIO (Chief Information Officer), with the highest IT role usually being an IT manager (a frontline management position).
　　(2) Low pay: IT managers earn RMB 250,000–400,000 annually—only one-third to one-half of what manufacturing VPs earn. Data engineers are paid significantly less than their peers in process or equipment engineering roles.
　　(3) Weak authority: virtually no company assigns digital transformation strategy directly to executives or owners at the VP level or above.
　　Conclusion: Those who understand production best don’t understand data, and those who understand data best hold no real power. This dual inversion in organizational hierarchy and compensation directly locks down the potential for digital transformation.
　　III. The Third Scissors Gap: Near-Zero Data Capabilities Make Intelligent Operations Impossible
　　During our visits, we observed strong equipment automation—but virtually no capability in data extraction, modeling, or closed-loop problem resolution.
　　1. Coarse data granularity: only basic metrics like output volume and yield are tracked, with little to no fine-grained collection of equipment parameters, process variables, or energy consumption.
　　2. Absence of data modeling: no AI-driven yield prediction, anomaly alerts, or root-cause analysis.
　　3. No closed-loop issue management: no standardized, data-triggered workflows for handling abnormalities.
　　4. Heavy reliance on experience: production and quality control depend overwhelmingly on “master craftsmen” rather than data models.
　　Conclusion: Hardware forms the “intelligent body,” but data is the “digital brain.” Without a brain, even the most advanced body can only achieve “automation,” not true “intelligence.”
　　IV. Glimmers of Hope: Our Mission and Journey Ahead
　　Dear partners, amid the industry-wide tendency to “prioritize hardware over software” and the scarcity of specialized domestic software, Baineng Information’s self-developed iPCB and iPCB AI platforms were created precisely to bridge these scissors gaps. This is the very meaning and value behind our daily work.
　　iPCB: As one of the few domestically developed PCB-specific industrial software platforms with independent intellectual property rights, it covers the entire workflow—including intelligent CAM, automated order review, and process modeling—to solve fundamental issues like fragmented data and inconsistent standards.
　　iPCB AI: It is not merely a “tool,” but infrastructure for intelligent operations in the PCB industry. Its mission is to enhance the sector’s core intelligent operational capabilities through high-granularity data extraction, AI-powered process modeling, yield prediction, and more—thereby empowering expensive automated hardware with data intelligence and upgrading “machine replacement” to “brain replacement.”
　　Amid the triple challenge of scarce domestic software, foreign software’s poor localization fit, and corporate reluctance to invest, we have chosen to pursue what is difficult yet right—building foundations with software, empowering operations with data, and redefining manufacturing with AI.
　　V. Conclusion: Our Future Is Determined by Our Mindset
　　In summary, the PCB industry—and Chinese manufacturing as a whole—faces three critical scissors gaps:
　　1. Investment gap: hardware spending reaches the billion-yuan scale, while software investment remains at the million-yuan level—a difference of hundreds of times;
　　2. Talent gap: manufacturing executives earn million-yuan salaries, while IT professionals receive only one-third to one-fifth of that amount and remain marginalized;
　　3. Capability gap: equipment is advanced, but data modeling and intelligent operations are nearly non-existent.
　　This reveals a clear trajectory for the future: over the next 3–5 years, industry competition will no longer be about “who has more expensive equipment,” but “who has stronger data capabilities, smarter operations, and more advanced cognition.”
　　The mission of Baineng Information’s iPCB and iPCB AI is to leverage homegrown specialized software and AI capabilities to help the industry close these scissors gaps, unlock the true value of advanced hardware, and enable Chinese manufacturing to evolve from “catching up in automation” to “leading in intelligence.”