This article combines historical analysis, social observation, industrial management, and policy recommendations. The term “patriarchal culture” is used here as an analytical concept referring to social institutions and the organization of labor, rather than as a claim that all men or all women possess fixed, inherent patterns of cognition. Findings on gender differences generally describe group averages; the overlap between individuals is usually much greater than stereotypes suggest. The Taiwan regulatory sections are based on publicly available legal information as of September 2026 and are intended to provide strategic direction for businesses, not to replace case-specific determinations by legal counsel, environmental engineers, or competent authorities.

I. The Starting Question: Are We Really Just Replacing One Machine with Another?

When we discuss lithium battery recycling, it is easy to treat the issue as a purely technical problem: how to discharge batteries, dismantle them, crush them, separate materials, and turn black mass into new feedstock. But when we zoom out, lithium batteries are simply one snapshot of industrial civilization today. Behind them are mining, energy, transportation, manufacturing, consumption, end-of-life management, and resource recovery. Every one of these stages is also a question of social organization: Who does what work? Who controls information? Who has decision-making authority? Who bears the risks?

This article therefore proposes a cross-disciplinary perspective: from the Industrial Revolution to the present day, enterprises have experienced not only technological upgrading but also a redistribution of human and social roles. Early factories turned people into components of a production process; twentieth-century management converted work into defined positions, standards, KPIs, and hierarchies; twenty-first-century digitalization has further transformed work into data flows; and AI is beginning to make parts of judgment, prediction, scheduling, and knowledge retrieval into shared cognitive tools. As production moves from “take–make–waste” toward circularity, should management itself also move from “command–execute–report” toward “share visibility–share judgment–share improvement”? This is where gender, the circular economy, and AI truly converge.

II. From Patriarchal Society to Industrial Enterprise: How Were Gender Roles Reorganized?

Before the Industrial Revolution, work and family were often not two completely separate worlds. Agriculture, crafts, and household production frequently treated the family as the basic economic unit, with spouses and other family members participating jointly in production. Historical research shows that women’s labor in the pre-industrial period was far from absent; women could play important roles in textiles, household industry, and market exchange. The problem was that such work was often difficult to formally record, value, or accumulate into an independent occupational identity. [1][2]

One of the major changes brought by the Industrial Revolution was not simply “machines replacing handwork,” but the gradual separation of the workplace from the household. Factory systems divided time into shifts, work into operations, and jobs into clearly defined responsibilities, creating a more visible hierarchy between managers and workers. Historical research indicates that when the British textile industry shifted from household and decentralized production toward factory production between 1760 and 1850, gender ideology, in addition to economic factors, strongly influenced occupational allocation and the formalization and stratification of the labor market. [3]

It is important to note that this was not simply a case of “men driving women out of factories.” Some large-scale industries in the early phase of industrialization actually relied heavily on women’s and children’s labor. Whether women entered factories and which jobs they performed also depended on technology, wages, household strategies, and local economic structures. In nineteenth-century British textiles, for example, the introduction of machinery sometimes increased the physical demands of operating large equipment, contributing to a gradual shift of spinning operations that had previously been performed by women toward male workers. [4][5]

“Patriarchal culture” is therefore better understood as a long-standing set of power relations and role arrangements, rather than a system that suddenly appeared on a particular day of the Industrial Revolution. What industrialization actually did was combine existing gender norms with wage labor, factory organization, and technological specialization, thereby redefining who was the “breadwinner,” who was responsible for care work, what counted as valuable work, and who was considered suited to manage machinery. Men were more often constructed as breadwinners in the market economy, while women were more often constructed as caregivers within the household, even when women also engaged in paid work. [6]

This historical trajectory also explains why “communication” and “gender equality” are really two sides of the same enterprise problem. When information can move upward only through formal positions, those with the greatest power are usually also closest to decision-making. When information becomes transparent, processes become digital, and knowledge can be searched and reused, an individual’s gender and physical strength no longer need to determine whether that person can access information or participate in decisions.

III. From “Gendered Division of Labor” to “Division of Information”: What Must Today’s Enterprises Really Change?

One of the most powerful management tools of the industrial era was to break complex work into standardized operations. This dramatically increased productivity, but it also produced a side effect: people could become locked into the framework of “you are responsible only for this part.” When this division of labor is further combined with gender, age, and educational background, institutional habits can emerge such as “men handle machinery and decisions, women handle documentation and details” or “men work on the shop floor, women work in administration.” These patterns are not necessarily caused solely by individual prejudice; workflows and job design themselves can hard-code the differences.

Therefore, if modern enterprises truly want to break away from outdated gendered divisions of labor, they should not stop at “hire more women” or “encourage men to take on family care.” More importantly, they should redesign the work itself. For example: convert knowledge held in the mind of a senior employee into standardized data; turn field experience into SOPs, videos, and digital work instructions; replace oral handovers between shifts with traceable handover records; and replace “whoever speaks the loudest has the decision” with “whoever can present data, risk, and validated results has the right to be heard.”

This change is particularly important for women, but not because women are “naturally more detail-oriented.” Rather, traditional enterprises have often treated coordination, care, communication, and attention to detail—tasks more frequently assigned to women—as low-value supplementary labor. The circular economy requires enterprises to recognize these capabilities differently: material-flow management, classification rules, anomaly records, supplier tracking, customer complaints, quality traceability, training, and cross-functional coordination are themselves core functions that determine whether a circular system can actually close its loop.

IV. Are There Gender Differences in the Circular Economy? The Answer Is “Some Average Differences, but They Must Not Become Stereotypes”

The United Nations Environment Programme (UNEP) has long pointed out that waste management is often treated as gender-neutral, while in reality it is deeply shaped by gender norms. Women frequently play important roles in household waste management, sorting, and some forms of informal recycling, while men more often occupy positions in transportation, trading, business operations, and higher-income decision-making. When recycling systems become formalized and more technology-intensive, women may actually be excluded from new technologies, new occupations, and higher-income positions unless training and decision-making participation are deliberately designed to include them. [7][8]

Academic research offers a more nuanced view. A 2024 literature review on gender and the circular economy found that women often show higher participation in household and community resource management, recycling, and reuse activities, but remain underrepresented in higher-value, technology-intensive, and decision-making circular-economy roles. Related studies also frequently find that, on average, women place greater emphasis on environmental issues, recycling, reuse, and social equity. [9] OECD analysis of gender and the environment likewise finds that women display slightly stronger “green attitudes” in some environmental behaviors, including recycling and reduced driving. [10]

However, great care is needed here: these are “group-average differences,” not evidence that men and women are inherently different by nature. One of the latest studies in 2026 found that gender differences in environmental concern were not necessarily significant in some samples, while women could show stronger performance in recycling knowledge, recycling attitudes, and recycling behavior. This means enterprises should not use “women care more about the environment” as a managerial shortcut; instead, they should convert differences in lived experience and information exposure into diversity in collective decision-making. [11]

In other words, the circular economy should not really ask, “Who—men or women—cares more about the planet?” It should ask: “Who more often sees waste? Who is closer to the materials? Who knows where the process is likely to fail? Who bears the consequences of accidents and pollution? Who has the authority to change the process?” Once the questions are reframed this way, gender moves from being merely an identity issue to becoming a question of corporate governance, risk management, and innovation.

V. The AI Era: How Can Lithium Battery Recycling Shift from “Labor-Intensive” to “Information-Intensive”?

Lithium battery recycling is an industry particularly well suited to redesign around human–machine collaboration. It combines high repetition, high risk, high variability, and high traceability requirements: incoming materials differ in chemistry, capacity and state of health, packaging and structure, and residual charge; meanwhile, damage, short circuits, thermal runaway, and chemical exposure mean that the cost of error can be far higher than in ordinary manufacturing. OSHA continues to identify fire, explosion, chemical exposure, and electrical hazards associated with lithium-ion batteries in manufacturing, use, disposal, and recycling as important occupational-safety concerns. [12][13]

The first value of AI, therefore, is not necessarily “robots replacing people,” but making sure that every manual operation leaves behind usable data. Start at the smallest unit: assign a unique batch ID to every incoming lot; record source, weight, model, appearance, SOC/voltage, temperature, photographs, packaging, and abnormalities at receiving; have operators follow electronic SOPs; automatically record time, equipment, process parameters, and personnel for every critical operation; and when an anomaly occurs, let AI first compare it with historical cases and SOPs before a human makes the final decision. This turns “experience” into a corporate asset.

The second value is reducing high-frequency, low-value work performed by humans. OCR and computer vision can help read battery labels; vision models can preliminarily classify normal, swollen, damaged, corroded, or deformed conditions; rules engines can determine temporary storage zones and processing routes based on chemistry, capacity, weight, and anomaly codes; and predictive models can support equipment maintenance and production scheduling. People can then gradually shift from “constantly moving, constantly looking, constantly recording” toward “confirming, judging, handling exceptions, and improving processes.”

The third value is improving shift and team communication. Traditional operations often rely on LINE messages, paper, whiteboards, or verbal handovers; when people change, information is lost. AI-assisted digital handovers can automatically summarize: how many tons were received today, which three batches were abnormal, which machine shows elevated vibration or temperature, which products are still awaiting QC, and which regulatory documents still need to be completed. Management no longer depends on who is best at speaking; it depends on whether the system enables everyone to see the same facts.

Illustrative Workflow for “AI + Process” in Lithium Battery Recycling

This also redefines “male and female roles in the lithium battery industry.” If job design continues to treat “being able to lift, having greater physical strength, and standing for long periods” as the main sources of value, enterprises will naturally develop a shop-floor structure with a higher proportion of men. But if information capture, digital SOPs, process analysis, quality traceability, equipment monitoring, AI-assisted exception handling, and technical customer communication are made part of the core work, women can enter higher-value shop-floor and engineering roles without having to compete with men on “physical strength”; men can likewise transition from purely physical work into data, engineering, and management. This is not about “who replaces whom.” It is about upgrading both sides from physical division of labor to capability-based division of labor.

The World Economic Forum’s Future of Jobs Report 2025 states that by 2030, AI and information processing, robots and automation, and energy generation, storage, and distribution will significantly affect work. The report also identifies skills gaps as a major barrier to business transformation and estimates that about one-fifth of current jobs will be affected by a combination of job creation and displacement. [14] The ILO’s 2026 report on the circular economy also notes that circular-economy activities already involve approximately 157.7 million jobs globally, with further room for employment growth, while high levels of informality and insufficient participation by women remain major challenges. [15] The key to AI adoption, therefore, is not “layoffs,” but “redistribution of skills.”

VI. Back to Taiwan: How Should Businesses Break Through Incoming-Material Constraints and Regulatory Uncertainty for Lithium Batteries?

Taiwan is now facing an interesting policy transition. On June 17, 2026, the former Waste Recycling and Reuse Act was amended and renamed the Resource Circulation Promotion Act, with the full law revised to 52 articles. Its policy orientation moved beyond simply “managing waste” toward “conserving natural resources, promoting resource circulation, reducing waste, and building a circular society.” Except for Article 14 and Paragraph 1 of Article 38, which have separate effective dates two years after promulgation, the amended provisions generally took effect upon promulgation. [16]

This change is highly significant for lithium battery recycling businesses. Articles 4 and 5 establish an order of priority for resource use covering waste reduction, reuse, material recovery, and energy recovery; Article 25 allows items not already designated as renewable resources to be approved as renewable resources through a project application; Article 34 expressly provides for subsidies and incentives for technology development, talent training, and equipment procurement, together with potential tax incentives; Article 35 allows coordination with financial institutions and credit-guarantee institutions to create financing channels for resource-circulation investment; Article 36 provides for the planning of dedicated resource-circulation zones; and Article 37 establishes a “resource-circulation innovation experiment” mechanism. [17]

For businesses, this means that “regulatory uncertainty” should not be understood only as a risk; it can also be translated into a policy-design problem: Can a technical bottleneck be written into an innovation experiment that is monitorable, verifiable, and limited in scale? Can a processing technology that is difficult to generalize be moved from “the government must first write every rule clearly” to “the enterprise proposes risk-control conditions and the competent authority approves the case individually”? Article 37 is particularly worth studying. However, the law also makes clear that innovation experiments cannot exempt mandatory requirements involving human health, public safety, or major environmental risks, nor do they eliminate civil or criminal liability. [18]

At the same time, Taiwan has also sent a clear policy signal on secondary lithium battery recycling. Since July 1, 2025, the Ministry of Environment has included secondary lithium batteries weighing at least 1 kilogram per unit within the officially regulated recyclable dry-battery category, with the intent of gradually bringing larger secondary lithium batteries used in energy storage, electric mobility, and related applications into the circular system. The Ministry has also established preferential fee rates for obligated enterprises that build their own collection and recycling chains: NT$5.10 per kilogram for domestic circulation and NT$6.66 per kilogram for overseas circulation, compared with the previous rate of NT$39 per kilogram. [19][20]

This means the best strategy for a business is not to wait until “all the rules are completely clear” before investing, but to make itself part of the policy problem that needs to be solved: build traceable circular chains with battery manufacturers, energy-storage companies, electric-vehicle companies, battery repair businesses, recyclers, and local governments; divide incoming materials into three tiers—“clearly permissible to accept under current rules,” “requires case-specific determination,” and “not currently accepted”; establish source and chemical-composition data for each batch; package evidence on safety, temporary storage, discharge, crushing, dust, electrolyte, fire protection, and final disposition into standardized documentation; and use these records to communicate with competent authorities. This is more likely to create a durable institutional interface than simply arguing, “We have the technology, so we should be allowed to accept the material.”

More importantly, businesses should not treat “insufficient incoming material” as a problem that only the procurement department can solve. It is actually a business-model problem: Does incoming material come from a single customer? Does the company process only one battery chemistry? Does it depend only on processing fees? Does it rely only on the price spread of black mass? Are there second and third revenue curves through second-life applications, dismantling services, equipment sales, technology licensing, contract processing, material specification, and cross-border markets? True resilience means turning “feedstock volatility” into a manageable portfolio of products and contracts.

Taiwan Business “Six-Layer Breakthrough Framework”

VII. What Enterprises Ultimately Need to Change Is Not the “Male-to-Female Ratio,” but “How Decision-Making Power Flows”

If an enterprise truly wants to move toward the circular economy, it cannot simply move waste from Plant A to Plant B and then sell it back to Plant C. It must build a cycle that can continuously learn. After materials arrive, quality data should flow back to procurement; line abnormalities should flow back to equipment design; customer needs should flow back to product specifications; safety incidents should flow back into SOPs; employee experience should flow back into the knowledge base; and market prices should flow back into procurement strategy. This is an “information cycle.”

The real enemy of that information cycle is neither men nor women, but “information monopolized by a few people.” In small enterprises, a common risk is that one employee knows the suppliers, another knows the equipment, another knows the regulations, and another knows the customers. The company then ends up operating on a few people’s memories rather than on institutional systems. Such an organization may be efficient in the short term, but it is extremely fragile over time.

Gender inclusion and operational resilience can therefore develop at the same time. Bring more women into technical, shop-floor, data, and management roles; bring more men into quality, training, process-improvement, and customer-communication roles; and assign everyone based on capability and results rather than gender-based assumptions about jobs. The ILO’s “just transition” framework explicitly links environmental transformation with labor, skills, social dialogue, and gender equality. [21]

For the lithium battery industry, this can even become a competitive strategy. The most valuable company of the future may not be the one that is best at “moving the most batteries.” It may be the one that can turn every batch of batteries into high-quality data, every incident into a new control rule, every customer request into a new specification, and every employee’s experience into organizational knowledge. That is the kind of company that genuinely moves from “labor-intensive” to “knowledge-intensive.”

VIII. Conclusion: The Next Cycle of the Circular Economy Should Be a “Cycle of People”

The Industrial Revolution brought humanity into the machine age and raised society’s productive capacity to unprecedented levels. At the same time, however, it reinforced linear resource consumption and fragmented many forms of work into narrow roles. Patriarchal culture, industrial capital, household division of labor, and bureaucratic management were not independent forces; they shaped one another across different historical periods. Understanding this history is not about blaming one gender. It is about seeing clearly how institutions assign higher value to some capabilities while making others less visible.

The circular economy requires us to rethink “value.” Waste is not necessarily zero-value; it may be material in the wrong place. Repair is not low-level work; it is the capability to extend product value. Classification and traceability are not administrative burdens; they are the foundation that allows resources to return to the industrial chain. Care, coordination, education, and communication are not “women’s auxiliary work”; they are social infrastructure that allows a circular system to operate over the long term.

AI gives this transformation, for the first time, the potential to scale. When OCR, sensors, computer vision, databases, MES, LIMS, predictive models, and generative AI are connected into a single workflow, enterprises can release people from high-risk, repetitive, and record-keeping tasks and place human value back into judgment, innovation, communication, risk management, and accountability.

Taiwan, in particular, should seize the institutional window that opened in 2026. The Resource Circulation Promotion Act has shifted the policy focus from “how to handle waste” toward “how to build a circular society,” while the recycling regime for secondary lithium batteries is also expanding from small dry-battery management toward large secondary lithium batteries and self-developed circular chains. For lithium battery businesses, the real breakthrough is not to wait for perfect regulation, but—within the boundaries of legality and safety—to proactively propose circular models that can be monitored, verified, and replicated. [16][19]

Finally, if this article’s central argument were to be expressed in one sentence, it would be this: the next industrial revolution should truly circulate not only metals, materials, and energy, but also human knowledge, employment opportunities, and decision-making power. When enterprises allow men and women to move beyond fixed binaries such as “physical work vs. clerical work,” “shop floor vs. office,” and “execution vs. management,” and instead bring both into data, technology, and decision-making, the circular economy becomes more than an industrial model. It becomes an organizational evolution of human society.

Regulatory Note: Whether lithium battery “incoming materials” may be lawfully accepted in Taiwan, their status as waste or renewable resources, the scope of permits, reporting, storage, collection, processing, and export must still be determined case by case according to the specific battery type, source, actual process, location, and approvals granted by the competent authorities. This article does not treat policy trends as equivalent to case-specific permits. In particular, the 2026 Resource Circulation Promotion Act is still in a transition period, so businesses should rely on the latest laws, official notices, and written opinions from the competent authorities.

IX. References and In-Text Citation Index

Key Words: #Patrilineal culture #Gender differences #AI era #Lithium battery disposal / Lithium battery recycling  #Gender division of labor #Human lifecycle / Human cycle  #Resource recycling / Resource circulation