TabbFORUM Report: The State of AI in the Capital Markets

Financial markets have long embraced automation and machine learning, with high-frequency trading algorithms transforming the speed and efficiency of trading in the 2010s. In this report on the State of AI in the Capital Markets, financial reporter Sean Creamer explores how advancements in AI, including large language models and natural language processing, are revolutionizing every aspect of capital markets, from trading strategies to compliance and portfolio management.

Financial markets practitioners are no strangers to automation and machine learning. In the 2010s, high-frequency trading algorithms changed how the buy-side and sell-side approach the capital markets by reducing the latency between trades, increasing alpha for early adopters.

Machine learning has only grown stronger over the last decade. With the introduction of large language models (LLMs), natural language processors (NLPs), and generative pre-training transformers (GPTs), the new age of artificial intelligence (AI) stands to reshape the capital markets once again.

Across the front, middle, and back offices, AI’s ability to process vast amounts of data in real-time is revolutionizing multi-asset trading strategies, automating compliance tasks, and helping to balance portfolios. From optimizing meetings with clients to speeding up the trade settlement process, the growing influence of AI across fixed income, equities, and commodities presents unique opportunities and challenges for firms in the capital markets.

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