By Michael Hung, CEO of Trade Beyond
Despite heightened awareness, forced labor and other human rights abuses remain a significant challenge within the supply chains of electronics and batteries. Materials critical to electronics production, such as tin, tantalum, tungsten, and gold have long been linked to ethical abuses, and the problem is more rampant than most consumers realize: a new report revealed that up to 75% of the global lithium-ion battery supply chain is at risk of violating human rights, including forced and child labor. These issues are most prevalent in the mining and refining stages of raw materials like cobalt and nickel, sourced from regions such as the Democratic Republic of Congo and Madagascar.
With an estimated 50 million people living under modern slavery worldwide, governments are enforcing stricter supply chain regulations and demanding greater due diligence from retail businesses. These regulations, while essential for curbing abuse, present significant challenges for organizations that must now gather extensive information across their supply chains down to the Nth tier. Thankfully, artificial intelligence is lending critical assistance, providing the oversight that electronics companies need and offering powerful tools to track, verify, and maintain ethical practices across their supply chains.
The first step in meeting ethical standards in supply chains is achieving comprehensive traceability. AI-driven tools offer companies a level of visibility, speed, and accuracy that was once impossible. Supply chain platforms are increasingly leveraging AI to map the intricate network of suppliers and production facilities within global electronics supply chains. This detailed mapping builds a reliable record of each supplier’s practices, including environmental impact and labor conditions, allowing businesses to verify that their products come from responsible sources.
New AI-powered chain of custody tools, for example, can not only track material origins but also cross-reference suppliers against databases of entities flagged for forced labor. In the electronics industry, where components like circuit boards or lithium-ion batteries involve multi-tiered production processes, identifying high-risk suppliers early on reduces the risk of human rights violations and protects both reputation and legal standing.
Beyond verifying supplier data, AI helps companies automate ongoing compliance monitoring. Traditional audits, limited to periodic and labor-intensive site visits, capture only a snapshot in time. AI enhances this process by analyzing data in real time to more quickly flag potential risks or violations across supplier networks. Companies can conduct virtual audits and real-time assessments across a wide range of indicators—such as worker hours at manufacturing plants, compliance in rare earth mineral extraction, and safety conditions—ensuring each supplier’s compliance. This automated compliance capability not only allows electronics and battery manufacturers to maintain ethical standards more consistently but also meets the requirements of complex regulations like United States’ Uyghur Forced Labor Prevention Act and the German Supply Chain Act (LkSG), which demand new levels of due diligence and transparency.
AI also plays a crucial role in detecting human rights risks early. Machine learning algorithms analyze vast datasets to uncover patterns or anomalies that might indicate forced labor or other unethical practices. For instance, AI can flag sudden shifts in cobalt prices or labor turnover rates at mining sites—indicators that may signal exploitative practices. By detecting these warning signs early, AI empowers companies to investigate and address potential issues proactively, preventing violations before they impact the integrity of their supply chains.
As electronics companies scale up their operations across hundreds or even thousands of suppliers, AI becomes essential for handling due diligence at this scale accurately and in a timely fashion. Historically, collecting and analyzing data from such a vast network has been an inefficient, manual task that left gaps in oversight. Today, an AI-powered multi-enterprise platform can automate this data collection and consolidation, aggregating everything from certifications and audit results to compliance documentation for components such as semiconductor materials or lithium sources. The benefits of AI in supply chains extend beyond compliance to the realm of consumer trust. While the battery market has traditionally been defined by price and distribution advantages, with consumers often gravitating toward readily available or lower-cost options, sustainability could soon become a key differentiator. By sharing a company’s ethical practices with consumers, businesses can strengthen brand loyalty and appeal to a consumer base that increasingly values ethical practices.
Looking forward, AI’s role in electronics supply chain management will continue to grow within matters of social sustainability and beyond, with applications on the horizon for autonomous decision-making that can adjust in real time to align with regulatory changes or shifting market demands. However, achieving this level of adaptive capability requires a strong digital infrastructure and centralized data networks. With accurate, accessible data, companies can harness the full potential of AI’s predictive power, transforming their supply chains into agile networks capable of responding to global shifts and emerging standards. It’s no wonder a recent survey of retail executives found AI is the top technology supply chain leaders plan to integrate into their operations over the next three years. In an era of newfound accountability across electronics and battery production, AI offers companies a powerful tool to manage ethical standards at scale. By automating compliance, enabling early risk detection, and providing visibility into every tier of the supply chain, AI empowers companies to meet evolving regulations and align with consumer expectations. As human rights regulations continue to tighten, companies that embrace AI are better positioned to protect their reputation, support global social sustainability efforts, and lead the way in responsible sourcing.
Michael Hung is the Chief Executive Office of TradeBeyond, retail’s leading provider of supply chain solutions.
