The conversation around AI in finance is moving quickly from experimentation to execution and shifting the measurement of ROI of AI from efficiency to effectiveness.
At Bloomberg’s AI in Finance Summit in New York, senior financial executives came together to discuss where AI is creating measurable value, how it is reshaping investment workflows, and what responsible adoption looks like as the technology becomes more agentic.
We also demonstrated the next evolution of ASKB, showing how investors can bring their own professional context from their Instant Bloomberg (IB) chats, Worksheets and files into the same conversation as Bloomberg’s data, news, research and analytics.
A few signals from our audience polling stood out:
🔹 66% said full-workflow AI assistants are the advancement they are most excited about.
🔹 85% said AI is either already integrated into daily workflows or is currently being piloted and tested at their organization.
🔹 Security and privacy ranked as the biggest barrier to broader AI adoption, followed by regulatory and compliance concerns.
🔹 When it comes to trust, source attribution ranked highest, reinforcing that confidence in AI for finance depends not just on what it can do, but on the transparency and verifiability of its outputs.
Learn more about AI at Bloomberg: bloom.bg/4zsdxoq
At Bloomberg’s AI in Finance Summit in New York, senior financial executives came together to discuss where AI is creating measurable value, how it is reshaping investment workflows, and what responsible adoption looks like as the technology becomes more agentic.
We also demonstrated the next evolution of ASKB, showing how investors can bring their own professional context from their Instant Bloomberg (IB) chats, Worksheets and files into the same conversation as Bloomberg’s data, news, research and analytics.
A few signals from our audience polling stood out:
🔹 66% said full-workflow AI assistants are the advancement they are most excited about.
🔹 85% said AI is either already integrated into daily workflows or is currently being piloted and tested at their organization.
🔹 Security and privacy ranked as the biggest barrier to broader AI adoption, followed by regulatory and compliance concerns.
🔹 When it comes to trust, source attribution ranked highest, reinforcing that confidence in AI for finance depends not just on what it can do, but on the transparency and verifiability of its outputs.
Learn more about AI at Bloomberg: bloom.bg/4zsdxoq
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