Climate Change - An Experimental AI Assessment. Volume III: Mitigation (en Inglés) - VIGIL AI

Contribution of Working Group III to the Seventh Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). This AI-generated experimental assessment presents a scientifically rigorous, forward-looking analysis of climate change mitigation pathways, technologies, policies, and economics, grounded in 117 DOI-verified citations drawn from peer-reviewed literature published through early 2026.

Across 17 chapters and 423 pages, this volume evaluates the full landscape of mitigation options available to limit global warming to 1.5 degrees C or well below 2 degrees C above pre-industrial levels. Opening with a Summary for Policymakers, the volume proceeds through framing and context chapters examining historical emission trends and drivers disaggregated across regions, sectors, and income groups, projected emission futures under alternative development pathways, and the intersection of mitigation ambition with sustainable development goals and just transition imperatives. Sector-specific chapters provide detailed analysis of decarbonization pathways in energy systems (renewable energy deployment trajectories and learning curves, grid flexibility and long-duration storage, nuclear energy's evolving role, green and blue hydrogen value chains, and fossil fuel phase-out timelines and stranded asset implications), industry (steel, cement, and chemicals decarbonization routes, process electrification, industrial symbiosis, circular economy approaches, and carbon capture utilization and storage), transport and mobility (light-duty and heavy-duty vehicle electrification, modal shift strategies, sustainable aviation fuels, maritime shipping decarbonization pathways, and urban mobility transformation including 15-minute city concepts), buildings and human settlements (deep energy retrofit strategies, building electrification of heating and cooling, embodied carbon reduction in construction materials, and net-zero building codes and enforcement), and agriculture, forestry and other land uses including soil carbon management, reduced deforestation and degradation, agroforestry systems, livestock emission reduction, and dietary change potential. A dedicated chapter on carbon dioxide removal (CDR) evaluates the potentials, costs, co-benefits, risks, and governance challenges of direct air capture with carbon storage (DACCS), bioenergy with CCS (BECCS), enhanced rock weathering, ocean alkalinity enhancement, biochar, and afforestation/reforestation at scale. Cross-cutting chapters address demand-side transformation and sufficiency strategies, enablers and barriers to rapid decarbonization including institutional capacity and workforce development, governance frameworks and international cooperation including Paris Agreement Article 6 carbon market mechanisms, and climate finance flows, public-private investment gaps, and strategies for mobilizing capital at the trillions-per-year scale required for a net-zero transition.

Methodology: Each chapter was generated using Claude (Anthropic) with structured prompts modeled on the IPCC assessment cycle. All scientific claims are anchored to DOI-resolvable references verified against CrossRef. The full methodology, prompts, and verification logs are published at github.com/fredzannarbor/ar7-ai-assessment.

Part of the Climate Futures: The Ensemble series - three volumes totaling 1,296 pages, 51 chapters, and 531 DOI-verified citations.

IMPORTANT: This is an unofficial AI-generated experimental assessment published by Variant Earths, an imprint of Nimble Books LLC. Not affiliated with or endorsed by the IPCC, the United Nations, or any national government.