AI’s energy surge mirrors extractive colonialism: how data centres replicate fracking’s environmental violence

Indigenous communities globally have long resisted extractive industries that displace them from ancestral lands, a struggle now mirrored in resistance to data centres. Many see AI’s energy demands as a continuation of colonial resource theft, where Indigenous lands are treated as sacrifice zones for global tech expansion. Traditional knowledge systems, such as those of the Māori or Navajo, emphasise energy sovereignty and land stewardship, offering a radical alternative to AI’s extractive logic. Yet these perspectives are systematically excluded from policy debates, which privilege Western technological solutions.

The comparison to fracking is apt: both industries rely on extracting finite resources (natural gas vs. clean energy) while externalising environmental and social costs. Historically, extractive booms—from the California Gold Rush to the Alberta Tar Sands—have followed similar patterns of corporate capture, state collusion, and community displacement. AI’s energy surge echoes the Industrial Revolution’s exploitation of labour and land, but with a digital twist: data centres now occupy the role of ‘factories of the 21st century,’ siphoning resources from the Global South to the North. The continuity of extractive capitalism is undeniable.

In the Global South, AI’s energy demands are often framed as a form of ‘digital colonialism,’ where renewable energy is diverted to power foreign tech giants while local communities face blackouts. African nations like Kenya and South Africa, rich in renewable potential, are pressured to supply data centres with ‘clean’ energy, yet their own populations lack access. Meanwhile, in Asia, local activists draw parallels between AI’s water-intensive cooling systems and historical water grabs by agribusiness. These cross-cultural insights reveal a pattern of technological extraction that transcends borders.

Studies show data centres now consume ~1-1.5% of global electricity, with projections suggesting this could triple by 2030 if unchecked, outpacing the growth of renewable energy deployment. The shift to AI workloads increases energy intensity by 300-500% compared to traditional computing, exacerbating grid strain in regions like Northern Virginia and Ireland. Scientific consensus also highlights the ‘rebound effect’—where efficiency gains in AI are offset by increased demand, a phenomenon well-documented in energy economics. Yet policymakers continue to treat energy growth as inevitable rather than a design choice.

Artists like Trevor Paglen have documented the ‘invisible landscapes’ of data centres, framing them as monuments to late-stage capitalism’s extractive logic. In many spiritual traditions, the commodification of energy—whether as oil, gas, or data—is seen as a violation of sacred reciprocity between humans and the Earth. The ‘digital sublime’ of AI’s energy demands is critiqued in works like Ursula K. Le Guin’s ‘The Dispossessed,’ which contrasts extractive societies with those rooted in communal stewardship. These artistic and spiritual critiques challenge the techno-utopian narrative of AI as progress.

Scenario modelling suggests that without intervention, AI’s energy demand could consume 20% of global electricity by 2040, triggering cascading grid failures and accelerating climate breakdown. Alternative models, such as decentralised renewable microgrids or ‘AI for climate adaptation’ (not just growth), could reduce energy intensity by 60-80% while democratising access. Historical precedents, like Germany’s *Energiewende*, show that rapid decarbonisation is possible with political will, but require breaking fossil-fuel and tech lobbies’ stranglehold on policy. The future hinges on whether AI is designed to serve extractive capitalism or ecological justice.

Marginalised communities—Indigenous, Black, rural, and Global South—bear the brunt of AI’s energy infrastructure, from land dispossession to energy poverty. In Virginia’s ‘Data Center Alley,’ predominantly Black communities face rising utility costs and health impacts from industrial-scale data centres, yet their resistance is criminalised. In Ireland, rural towns protest the privatisation of water and land for tech giants, while local ecosystems collapse under the strain. These voices are systematically excluded from tech policy debates, which are dominated by Silicon Valley elites and their allies in government.