The Bank of Italy released six new Occasional Papers (Nos. 1001–1006), covering research on artificial intelligence’s macroeconomic and firm-level effects, the use of generative AI in policy briefing and climate-related data, sustainable finance pricing, and corporate lending by Italian less significant institutions. The papers examine AI and the US economy from a national accounts and investment-production perspective (No. 1006) and provide evidence on the economic impact of AI for Italian firms, including performance, productivity and expectations (No. 1005). Other studies explore agentic AI tools to streamline economic policy briefing using language-model frameworks such as LangChain and LangGraph (No. 1001), the potential for GenAI to fill banks’ emissions data gaps including Scope 3 emissions (No. 1003), how environmental scores relate to bond pricing including green bonds and the greenium in corporate bonds (No. 1002), and patterns in corporate lending by Italian less significant institutions, including credit quality and interest rates (No. 1004).
Bank of Italy 2026-03-12
Bank of Italy releases six new Occasional Papers on artificial intelligence, climate data gaps, sustainable finance pricing and corporate lending
The Bank of Italy published six Occasional Papers (Nos. 1001–1006) examining AI's macroeconomic and firm-level effects, sustainable finance pricing, and corporate lending by Italian less significant institutions. Key topics include AI's impact on the US economy, effects on Italian firms, and the use of generative AI in policy briefing and climate data. The studies also explore environmental scores' influence on bond pricing and patterns in corporate lending.