How is AI transforming Bloomberg, financial markets, and the future of the Bloomberg Terminal?
Recorded live at AI4 2026 in Las Vegas, Sanjay Puri speaks with Emanuel Bettelheim, a senior product and AI leader at Bloomberg, about how one of the world’s most important financial information platforms is using AI agents, generative AI, and decades of proprietary data to transform how financial professionals work.
Emanuel explains why Bloomberg’s AI strategy is about much more than choosing the right model. With hundreds of billions of new data points flowing through the platform every day, Bloomberg is building the systems, knowledge graphs, evaluation frameworks, citations, and deterministic tools needed to make AI outputs reliable and trustworthy for mission-critical financial decisions.
The conversation explores Agentic AI, AI in finance, responsible AI, AI governance, financial data, AI model selection, knowledge graphs, AI costs, BQL, MCP, the future of the Bloomberg Terminal, and why human judgment remains essential in financial markets.
In this episode:
- How Bloomberg is deploying AI agents internally and for customers
- The future of the Bloomberg Terminal
- Why AI is transforming financial research and decision-making
- How Bloomberg combines multiple AI models for different use cases
- Why the AI model itself is only part of the solution
- Building trustworthy AI around 45 years of financial data
- Knowledge graphs, citations, evaluations, and red teaming
- Why human experts remain essential to AI development
- Responsible AI in financial services
- Managing the rising cost of AI inference and tokens
- Why deterministic systems still matter in the age of LLMs
- How Bloomberg uses BQL alongside AI
- AI-powered coding and the future of quantitative finance
- Why product management and human judgment are becoming more important
- How AI could reshape the Bloomberg Terminal experience
- Why humans should remain responsible for major financial decisions
Emanuel also explains why the future of the Bloomberg Terminal may not mean the end of the terminal—but rather a transformation from multiple information silos into a more intelligent, conversational and agent-enabled interface.
Whether you’re a Chief AI Officer, CIO, CTO, financial executive, trader, investor, product leader, or enterprise AI practitioner, this conversation offers a fascinating look at how AI is reshaping financial intelligence while maintaining the trust, accuracy, and human judgment that markets depend on.
Recorded live at AI4 2026 in Las Vegas by Knowledge Networks.
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