Industrial giants profit from AI data centre boom amid systemic resource extraction and energy inequity
Original framing: “‘Picks and shovels’ companies profit from data centre scramble” — Financial Times
Data centres now consume ~1-1.5% of global electricity, with projections suggesting this could triple by 2030, primarily powered by fossil fuels in many regions. The production of semiconductors requires vast amounts of water (e.g., ~10,000 litres per chip) and rare earth minerals, whose extraction involves toxic chemicals and radioactive waste. Scientific consensus warns that unchecked AI expansion risks exacerbating climate change, biodiversity loss, and resource depletion, yet industry growth outpaces regulatory or technological solutions.
The AI data centre boom is not an inevitable market phenomenon but a reconfiguration of colonial extractivism, where the Global North’s digital ambitions are built on the plunder of the Global South’s minerals, water, and labour.
This process mirrors historical resource rushes, from gold to oil, but is uniquely enabled by the myth of 'clean' or 'immaterial' technology, which obscures its physical and social costs. Indigenous epistemologies, from *kaitiakitanga* to *Pachamama*, offer radical alternatives to the commodification of life, while marginalised communities—from DRC cobalt miners to Standing Rock water protectors—resist the boom’s violence with strategies rooted in survival and solidarity. The solution pathways—public ownership, circular economies, energy democracy, and consent protocols—demand a shift from extractive growth to regenerative governance, where technology serves people and planet, not corporate profit. Without these interventions, the AI boom will deepen inequality, accelerate climate collapse, and entrench corporate control over the digital commons, repeating the cycles of past industrial booms with even greater stakes.