Panel, Fireside Chat, Conference Presentation
AI and the Future of Digital Transformation | Future of Finance 2026
Milken InstituteNicole Valentine, Jo Jagadish, Karen Kornbluh, Eric Mandl, Igor Tulchinsky, Kip Wainscott
- TD Bank plans to expand customer-facing AI discussions over the next few months to years, while maintaining a current testing phase on internal "human in the loop" use cases, noting that scaling AI without such oversight is not yet viable.
- WorldQuant targets a 100-fold productivity increase this year, whereas Eric Mandel projects global AI spending will reach between $4 trillion and $5 trillion within 10 years, with alternative estimates suggesting a range up to $15 trillion.
- JPMorgan Chase established a firm-wide AI center of excellence 18 months ago to address policy questions and anticipates generating $3.7 to $3.8 billion in fraud loss savings over the next four years.
- Data generation is expected to double every two years due to AI, a significant acceleration from the previous baseline of every four years, while Joe Jagadish notes that over one-third of the US population already uses AI tools.
- Market consensus views AI transformation as occurring immediately despite uncertainty, though Eric Mandel and Igor Telchinsky predict that from a ten-year perspective, advancements will constitute a "leap in imagination" with more benefits than drawbacks.
- Quantum technology is projected to solve specific problems approximately 100 million times faster than conventional computers without replacing GPUs, requiring intentional focus to capture these benefits in unforeseen ways.
- Professional services in law, architecture, and accounting face existential risks if they fail to adapt, potentially becoming obsolete like the taxi medallion industry, while Karen Kornblum warns that current pharmaceutical regulations restricting the sharing of unsuccessful drug test data may hinder rare disease cures.
- Consumer trust in AI and deploying institutions has declined year-over-year for the past three years, an trend expected to inhibit enterprise-level adoption despite growing readiness for AI-powered mobile experiences.
- Since November 2022, US white-collar roles have increased by 3 million, with specific growth in engineering (7%), paralegals (21%), and radiologists (10%), while the nature of hiring is expected to shift toward roles requiring technical understanding for complex questions.
- Future policy is anticipated to swing toward guardrails as public sentiment shifts, though excessive code-level restrictions could render a nation uncompetitive, while AI is also predicted to become a significant component of the 28th US presidential campaign.
- There is a market tendency to assume all AI changes happen immediately due to uncertainty, yet the "precipice" of change is expected to create new jobs rather than eliminate them, provided markets do not misinterpret the unknown outcomes.