Resolving the Global Climate Crisis by 2037 via Decentralized Techno-Ecological Ecovillages

Resolving the Global Climate Crisis by 2037 via Decentralized Techno-Ecological Ecovillages Summary Industrial chemical agriculture and hyperscale artificial intelligence (AI) infrastructure represent two major extractive trajectories driving planetary ecosystem degradation, wildland-urban firestorms, and escalating energy footprints. Concurrently, top-down public health frameworks rely on linear risk models that obscure non-linear nutritional dependencies across global populations. Here I show that decentralizing computation and food production into ≈1 million forest-based organic/biointensive ecovillages supporting ≈2 billion people resolves these interconnected crises. By re-analyzing global health datasets, I identified an empirical longevity "sweet spot" centered around moderate animal-protein consumption, challenging EAT-Lancet Commission guidelines that recommend limiting red meat to 0–28 g/day. Integrating ecovillage settlements with co-located, single-phase liquid-immersion AI data centers achieves 95% thermal recovery efficiency (1,425 kW thermal per hub) to power local crop drying, biochar pyrolysis, and community microclimates. Simultaneously, converting 8% of global forest land into silvopastoral fuel-management shields and double-dug organic/biointensive farms inverts agricultural emissions into a net biological sink of -24 GtCO2e yr-1. Together, this circular techno-ecological model drives net-negative atmospheric carbon drawdown (-2 to -5 GtCO2e yr-1) by 2037, offering a scalable blueprint for global ecological and public health stabilization.