suffering layer

Animal suffering

suffering_animal

Farmed-animal suffering --- ~80-83B land animals slaughtered annually with ~70% raised in intensive systems, plus 1-3T finfish and shellfish. The largest numeric locus of confined-animal suffering on the planet and the category most sensitive to protein-substitution and welfare-regulation interventions. Moral-weight question kept explicit here rather than smuggled into DALY equivalence.

Interventions scored against this layer

Scale funding for interpretability and alignment research. 0.10
Accelerate alternative-protein development (precision fermentation, cultivated meat, plant-based) with AI-driven strain engineering, scaffolding optimization, and supply-chain cost-down, targeting displacement of factory-farm protein at scale. 0.85
Expand frontier-lab compute capacity (chips, datacenters, networking). 0.10
Deploy frontier AI (structure prediction, candidate screening, trial simulation) inside drug discovery and therapeutic development pipelines targeting neglected infectious disease, antimicrobial resistance, and LMIC-priority therapeutics. 0.10
Accelerate grid and generation buildout (permitting reform, interconnection, new generation). 0.10
Invest in AI workforce training and retraining programs. 0.10
Scale AI-assisted mental health triage, initial-line support, and care-navigation tooling targeted at the ~70% of global mental-health burden currently untreated, with integration into public health systems and evaluation against clinical outcomes. 0.05