50 Investible Opportunities for a New Nature Economy Supplementary Appendix 2026

52 AI and advanced data analysis methods integrate geological, geophysical, sensor, and historical data to improve mineral exploration accuracy, reduce unnecessary drilling, and accelerate project discovery timelines. – Reduced risk of contamination: Analysis helps to prevent exploration in sensitive water catchments and enables fewer ground - based operations which may result in accidental spills or sedimentation – Efficient resource allocation: Companies can focus fieldwork only on high - potential areas, minimizing wasted expenditure. Archetype Operational Nature impact Transformative impact Suitability of financing and de - risking instruments Technological / process maturity Capital intensity Scalability Bonds Loans Equity Other De - risking Commercial bonds Thematic bonds Sustainability - linked bonds Impact bonds Commercial loans Thematic loans / project finance Sustainability - linked loans Impact loans Commercial equity Private equity Venture capital Impact equity Blended finance Insurance Advanced market commitments Legend: Low High Low suitability High suitability Payments for ecosystem services Land ecosystem Ocean ecosystem Freshwater use Resource use Pollution Co - benefits Climate Social ✓ ✓ – Primarily software and data investment: Low upfront hardware costs reduce upfront capital intensity compared to physical exploration – Globally scalable: Cloud and remote data platforms supports broad deployment. Drilling and core logging currently primary data captured. – Financing suitability characteristics: Given the high technological maturity and low capital intensity, this opportunity is well suited to conventional loan products to support mining companies purchase equipment, training and integrating practices. Some thematic and sustainability - linked debt instruments may be applicable (e.g. tied to reduced ground disturbance). Insurance products can be used to cover cyber risk, data integrity and operational continuity of data and AI platforms. – Cost r eduction p otential : Lowered direct exploration costs through data - driven prioritization and operational efficiency. Companies can leverage pay - per - use AI platforms to lower fixed investment. Reduces overall mining company financing needs and leverage. Negative impact Positive impact Financing target Mining companies Chemicals, Plastics & Pharma Construction Materials Energy Mining Technology Transportation & Logistics Cross - sectoral Automotive Fashion & Textiles Leisure Waste Management Metals & Steel Agri, Food & Forestry Conditions Nature KPIs required to ensure net positive impact for nature Financial impact Revenue increase✓ Opex reduction✓ Capex reduction✓ Advanced analytics and AI integration for mining exploration FINANCING THE NATURE - POSITIVE TRANSITION