Semiconductor giants’ forecasts reveal AI infrastructure’s extractive growth model, masking regional disparities and geopolitical risks in tech supply chains

Indigenous communities in regions like the Congo Basin, where cobalt and coltan mining fuels the tech industry, have long warned about the environmental and cultural destruction caused by extractive industries. Their traditional knowledge systems emphasize sustainable resource management, yet these perspectives are systematically excluded from economic forecasts that prioritize GDP growth over ecological and social well-being. The framing of ASML and TSMC’s forecasts as 'strong' ignores the fact that these industries operate on stolen land, with little regard for Indigenous land rights or consent. A systemic analysis would center Indigenous sovereignty and the principle of Free, Prior, and Informed Consent (FPIC) as non-negotiable conditions for any tech-driven economy.

The current AI infrastructure boom mirrors historical patterns of industrialization, where resource extraction and labor exploitation fueled rapid economic growth at the expense of marginalized communities. The 19th-century coal and steel industries, for example, relied on similar supply chain dynamics, with corporations consolidating power and governments enabling their expansion. The semiconductor industry’s reliance on rare earth minerals echoes the colonial-era scramble for rubber, oil, and minerals, which reshaped global power structures and left lasting scars on exploited regions. Understanding these parallels reveals that the 'AI spending boom' is not an anomaly but a continuation of extractive capitalism, with new technologies amplifying old injustices.

In Africa, the Democratic Republic of Congo supplies over 70% of the world’s cobalt, yet local communities see little benefit from the mineral’s extraction, which has led to deforestation, water pollution, and child labor. Meanwhile, in India, the push for semiconductor manufacturing under the 'Make in India' initiative has raised concerns about land grabs and displacement of rural populations, echoing colonial-era land policies. In contrast, Nordic countries like Finland have adopted a more balanced approach, integrating semiconductor innovation with strict environmental and labor regulations. These cross-cultural examples highlight the need for global standards that prioritize equity and sustainability over unchecked growth.

Semiconductor manufacturing is one of the most resource-intensive industries, with a single fabrication plant consuming as much water as a small city and emitting significant greenhouse gases. The reliance on rare earth minerals, which are often mined using toxic chemicals like sulfuric acid, poses severe health risks to workers and nearby communities. Studies show that the environmental footprint of AI infrastructure is growing exponentially, with projections indicating that data centers could consume 20% of global electricity by 2030. Scientific consensus also warns that the current supply chain model is unsustainable, with geopolitical tensions (e.g., U.S.-China trade wars) exacerbating vulnerabilities in critical infrastructure.

Artists and spiritual leaders have long critiqued the dehumanizing effects of technological progress, framing it as a form of modern idolatry that prioritizes machines over human and ecological well-being. Indigenous creation stories, such as those from the Navajo or Māori, often depict technology as a double-edged sword—capable of both healing and destruction. The current AI boom can be seen as a manifestation of this tension, where corporations like TSMC and ASML are treated as modern deities, their forecasts dictating global economic narratives. A spiritual lens would ask whether this growth aligns with values of reciprocity, balance, and long-term harmony with the Earth.

Scenario modeling suggests that the current trajectory of AI infrastructure expansion will lead to increased geopolitical fragmentation, with nations prioritizing self-sufficiency over global cooperation. A 'business-as-usual' model could result in catastrophic supply chain disruptions, as seen during the COVID-19 pandemic, but with even graver consequences given the critical role of semiconductors in modern economies. Alternative futures include degrowth models that prioritize regional resilience, circular economies that reduce reliance on rare earth minerals, and democratic control of tech infrastructure through worker and community ownership. The risks of inaction are stark: unchecked expansion could lock in extractive practices for decades, making systemic change increasingly difficult.

Workers in semiconductor fabrication plants in Taiwan and Malaysia report chronic health issues from exposure to toxic chemicals, yet their stories are rarely included in mainstream economic narratives. Communities in the Congo, where cobalt mining fuels the tech industry, face systemic violence and environmental degradation, with little recourse due to corporate impunity. Women and children in mining regions are particularly vulnerable, often subjected to exploitative labor practices with no legal protections. The voices of these marginalized groups are systematically excluded from economic forecasts, which instead amplify the perspectives of corporate executives and investors. A systemic analysis must center these voices to challenge the dominant narrative of 'inevitable progress.'