Bond AI – The municipal market, known for its resistance to change, is gradually integrating artificial intelligence (AI) into its workflow systems and communication tools. While broad acceptance may still be some time away, industry professionals foresee the use of AI in responding to requests, drafting documents, analyzing credits, and more. This article explores the current adoption of AI in the municipal industry and its potential implications for the future.
Incorporating AI into Munis
Several municipal firms have already incorporated AI, to varying degrees of sophistication, in their operations. For instance, TD Securities Automated Trading uses machine learning to determine fair bids and offer prices for municipal and fixed-income instruments. Price discovery, particularly for infrequently traded municipal bonds, can be challenging, and machine learning helps analyze similar bonds to establish fair value.
SOLVE, a market data platform, leverages AI-powered technology to provide real-time and historical fixed-income data for market professionals. Tradeweb has developed Municipal AI-Price, an AI-based tool that facilitates accessing reliable and quality pricing levels in the municipal bond market. Spline Data, a quantitative municipal market data firm, applies machine learning to classify bonds and generate yield estimates. Munichain, a web application, plans to use AI to provide muni-related information and answers to customer queries.
Impact and Potential of Bond AI
The introduction of large language models, such as Open AI’s ChatGPT, is expected to have a significant impact on the industry. AI can generate creative content, investment tactics and strategies, credit analyses, pricing evaluations, and more. However, concerns about data privacy, protection, and the potential for AI to replace human roles remain valid.
AI adoption is likely to accelerate in the municipal industry, but it will take time to fully integrate it into various processes. Artificial intelligence can assist in summarizing and drafting documents, providing first drafts, and automating data analysis. While some fear layoffs, others believe that AI will augment human capabilities rather than replace them. Market knowledge, institutional expertise, and judgment will continue to be valuable assets.
The term “AI” has been misused in the municipal market to describe semi-automated processes that involve significant human intervention. True bond AI involves self-learning components that can adapt and generate meaningful content independently. The number of evaluators determining secondary prices may reduce, but the market will continue to evolve gradually.
The municipal industry, historically resistant to change, is slowly embracing artificial intelligence. AI’s integration brings forth opportunities for enhanced pricing accuracy, efficient data analysis, improved document generation, and innovative solutions. While challenges and concerns persist, the industry is on a path toward greater adoption and utilization of AI, ultimately transforming the way business is conducted in the municipal market.
Where will AI take the industry next?