This report examines how artificial intelligence is transforming capital markets by shifting the industry from informational scarcity to analytical abundance. It introduces a structural framework involving capability, adoption, substitution, and recomposition, exploring alternative future states and the evolving nature of fiduciary accountability, market stability, and professional expertise.

This report examines the development of integrated energy-industry-transport corridors in Africa to foster low-carbon growth. It details strategies for decarbonising logistics and manufacturing, particularly in steel and cement. By linking industrial hubs with renewable energy, African nations can enhance regional trade, competitiveness, and sustainable economic development.

This research provides international data on firm-level artificial intelligence adoption across the US, UK, Germany, and Australia. While current impacts on employment and productivity are small, senior executives predict a 1.4 per cent productivity boost and a 0.7 per cent reduction in employment over the next three years.

This research analyses industrial policies for the multi-stage electric vehicle supply chain. It evaluates consumer subsidies and local content requirements, finding that while protectionist measures expand domestic production, they can significantly increase costs and reduce overall adoption compared to unconditional subsidies that maximise scale economies.

This research investigates AI-managed household portfolios, finding that large language models recommend undiversified portfolios concentrated in high-momentum, large-cap technology stocks. While returns may exceed market benchmarks, they do not provide abnormal returns when adjusted for risk characteristics. Recommendations are primarily driven by media attention rather than investment skill.

Research demonstrates that Large Language Models exhibit purpose-conditioned bias when informed of downstream tasks. Goal-aware prompting leads to in-sample overfitting and inflated performance before knowledge cutoffs. Results indicate that disclosing objectives compromises neutrality, necessitating the separation of measurement and evaluation in AI-assisted workflows to ensure statistical validity.

Global Nature Watch is an AI-powered Earth monitoring platform developed by the World Resources Institute and Google. It provides near-real-time data on land-use changes across various ecosystems to support nature-based risk assessment and environmental reporting.

This report evaluates climate change mitigation and adaptation strategies for data centres using the ClimaTech database. It assesses the effectiveness of decarbonisation across three scopes and analyses resilience measures for flood, storm, heat, and wildfire risks, providing quantitative performance metrics for various technological solutions.

This report examines the intersection of artificial intelligence and sustainability transitions, detailing opportunities and risks across environment, energy, labour, finance, and democracy. It proposes a three-layered governance framework and a phased roadmap for global scientific alignment, interim safety measures, and a binding international framework convention to ensure societal well-being.

The IEA Statistics Search is an authoritative data portal providing global energy analysis, projections, and historical statistics. It supports finance professionals in assessing energy market trends, ESG metrics, and investment risks during the clean energy transition.

This report examines financing challenges in India's critical minerals sector across upstream, midstream, and recycling segments. It evaluates the National Critical Mineral Mission's role in addressing capital gaps and suggests de-risking projects to ensure commercial viability and support India’s energy transition goals through strategic policy and international partnerships.

This report details 3D geological modelling of the Riddarhyttan Ore Field, identifying significant iron, copper, and rare earth element mineralisations. Characterising complex deformation patterns, the research suggests orebodies extend below historical mining depths, indicating high potential for future resource extraction within the western Bergslagen region.

This report examines cyber risk stress testing for banks, contrasting system-focused and firm-focused approaches. Drawing on exercises by the Bank of England, the Danish Financial Supervisory Authority, and the European Central Bank, it outlines scenario design, operational resilience, and the role of disclosure in establishing best practices.

The Global Innovation Lab for Climate Finance Portfolio is a database of vetted financial instruments designed to mobilise private capital for climate action. It provides finance professionals with access to innovative blended finance models, case studies, and sector-specific investment structures.

The 2026 IEA Energy Prices Database provides comprehensive global data on energy prices, investment trends, and capital flows. It supports finance professionals in assessing market volatility, conducting risk analysis, and evaluating energy sector investments.

EU Commission platform aggregating demand for critical raw materials to connect buyers, suppliers, and financial institutions across strategic sectors.