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Generative AI is rapidly transforming how employees create, share, and interpret information. From internal copilots drafting client messages to AI tools summarising trading conversations or generating research notes, large language models are increasingly embedded in daily workflows across capital markets. At the same time, the volume of unstructured communications data – voice recordings, chat messages,...
When the Bloomberg Commodity Index (BCOM) was launched in 1998, the architecture made sense for its time. Liquidity in commodity futures was concentrated in North American contracts denominated in US dollars, and the methodology was built accordingly. Twenty-eight years later the way global commodity markets operate and the way institutional investors want to access them...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...