Agentic AI and the Shift to Autonomous Finance
Who Will Lead in the Age of Agentic Finance?
Global finance is entering a new phase of transformation as artificial intelligence moves beyond efficiency gains and isolated automation. AI systems are now able to interpret information, reason across complex data sets, and influence investment decisions at speed and scale. This shift is changing how markets function and forcing financial institutions to reconsider not just how they deploy technology, but how intelligence itself is embedded across research, risk analysis, and financial decision-making.
Hosted by the Financial Times, in partnership with RavenPack, this FT-chaired digital dialogue brought together senior leaders from across the financial sector to examine this transition. The discussion explored how agentic AI is reshaping finance, why trusted data and human oversight remain central to confidence in AI-driven decisions, and how leading organisations are translating these principles into real-world implementations. Participants left with a clearer view of where the industry is heading and how to position their institutions for the next stage of AI-led change.
Our World-Class Business Leaders and Speakers
AGENTIC INTELLIGENCE
How is AI evolving from task-based automation to agentic systems capable of autonomous reasoning?
COGNITIVE MARKETS
What does the emergence of cognitive markets mean for market structure, competition, and alpha generation?
HUMAN OVERSIGHT
What role do trusted data, verified information, and human oversight play in building trustworthy AI systems?
Why Attend?
Understand
How agentic AI is moving beyond automation into autonomous reasoning and what that means for portfolio construction, risk modelling, trade execution and alpha generation. Gain practical insight into how leading firms are embedding cognitive systems into research and investment workflows.
Anticipate
Explore how cognitive markets could reshape market structure, liquidity dynamics and competitive advantage. Identify where value will be created (and disrupted) as AI agents increasingly interact with each other in real time.
Implement
Leave with actionable perspectives on deploying agentic AI responsibly, from data strategy and infrastructure requirements to governance frameworks and human oversight models that build trust in AI-driven decisions.
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