The “White Gold Rush”

The world is in the midst of a renewable energy revolution. Demand for lithium-ion batteries has never been higher. In 2023 alone, nearly 14 million new electric vehicles (EVs) were registered, alongside a nearly 50% increase in renewable energy capacity additions. Nicknamed “white gold” for its distinct colour, high energy capacity and light weight, lithium has become a critical commodity. It plays a key role in efficient and compact energy storage for EVs, mobile devices, and grid-scale renewable energy storage systems. As demand for lithium continues to skyrocket, Bolivia’s vast reserves have placed the country at the centre of global competition. Beneath the world-famous Salar de Uyuni salt flat lie an estimated 23 million metric tons of untapped lithium – roughly a quarter of the entire world’s known reserve.

Bolivia’s Potential

Evidence from the World Trade Organization (WTO) suggests that increasing the production and exportation of a resource like lithium could help Bolivia assert itself in the global economy and reduce extreme poverty. However, Bolivia’s extensive history of colonial mineral exploitation led former president Evo Morales to enact Law 928. It is aimed at protecting the country’s sovereignty by granting full control of lithium production to the state-owned company Yacimientos de Litio Bolivianos. While the law succeeded in its stated goal to restrict foreign exploitation and a surge in lithium-based employment, it limited access to advanced foreign technology. Ultimately, it prevented Bolivia from developing the technical expertise needed to grow the industry, leaving growth efforts largely unsuccessful. However, the rapid advancement of artificial intelligence (AI) presents a potential solution, with the capacity to overcome many of Bolivia’s technical barriers and help develop a more competitive lithium industry.

AI in Traditional Lithium Mining

While AI is most often associated with consumer tools like chatbots, its quieter applications in industries like resource extraction could be equally transformative. In mining, AI can enhance geological exploration by reading and analysing trends in mineral exploration datasets and quickly identifying mining sites with optimal geochemical conditions. For example, a 2024 USGS study successfully predicted lithium concentrations across the U.S. South using a machine learning model that combined geological data from Arkansas with brine samples, the mineral-rich groundwater from which lithium is extracted. In Bolivia’s case, however, the issue is not locating the lithium but avoiding high levels of magnesium. The material is costly and time-consuming to filter out and often lowers the quality of the product. Magnesium levels in the Salar de Uyuni vary widely, with some areas containing only a fraction of the concentration found elsewhere. By implementing high-speed big data monitoring and geochemical mapping, AI can identify and prioritize regions with lower magnesium concentrations, thus preventing inefficient extraction operations, minimizing water usage, and ultimately reducing its environmental impact.

AI in Direct Lithium Extraction

Beyond exploration, AI could also transform how lithium is refined. It may be particularly useful in streamlining direct lithium extraction (DLE), a chemical process that separates lithium directly from brines, making it far more efficient than traditional evaporation methods. AI has already demonstrated immense potential in optimising similar chemical processes, such as distillation and electrolysis. This is done through energy management optimisation, predictive maintenance, and real-time parameter adjustments of operating variables like pressure and temperature. If these capabilities are applied to DLE, they could significantly enhance its efficiency and recovery rates, improving the overall yield of Bolivian lithium plants.

Long Term Challenges

While AI integration could improve efficiency and sustainability in some aspects, it may not fully address some of the lithium industry’s most pressing challenges. Large-scale AI programmes can have serious environmental consequences, with projections showing that AI may consume up to 10% of global energy consumption by 2030 already. In addition to energy demand, Bolivia’s lack of policies promoting digital literacy, particularly in rural areas, has contributed to a “digital divide” that could leave a significant knowledge gap in AI-driven industries. With so few digitally educated workers, this gap limits the country’s ability to scale AI systems effectively. During Evo Morales’s presidency, expectations of a soon-to-be booming lithium industry drove many Indigenous people to Uyuni in hopes of finding work. AI integration could eliminate many of these jobs, further diminishing employment opportunities while disproportionately benefitting the state and amplifying inequality.

Water Shortage

Even with AI-driven solutions that help reduce excess water and energy usage, expanding mining operations on the Salar de Uyuni would still exacerbate Bolivia’s clean water shortage and disrupt sensitive ecosystems. Traditional lithium extraction methods involve pumping brine into vast pools for the water to evaporate, a process that requires half a million gallons of water to extract just one ton of lithium. The net impact of AI on Bolivia’s lithium operations would ultimately be the result of a complex trade-off between its economic and environmental benefits and the costs it may incur.

Bolivia’s Lithium and Strategic Partnerships

Perhaps the most immediate barrier to AI integration is that Bolivia is not yet economically prepared for the costly technological investments required for advanced AI systems. Without large-scale data collection, cutting-edge hardware, and high-skilled labour, Bolivia will struggle to fully capitalise on AI’s potential to sustainably grow its economy. Recognising this, current President Luis Arce’s administration has sought to normalise foreign direct investment in late 2024, securing a $1 billion investment deal with the Chinese consortium CBC and a $970 million deal with Russia’s Uranium One Group. These partnerships primarily aim to harness the technology and expertise necessary to develop direct lithium extraction. Bolivia’s shift away from its historically protectionist lithium governance reflects strategies used in Argentina and Chile, where foreign partnerships have played a key role in expanding lithium production and introducing new technologies. By similarly embracing foreign expertise and modernising extraction methods, Arce remains optimistic that Bolivia can strengthen its position in the global lithium supply chain and secure greater support going forward.