Karen Kornbluh
Showing 1–3 of 3 transcripts.
- Milken Institute59 min
AI and the Future of Digital Transformation | Future of Finance 2026
Nicole Valentine, Jo Jagadish, Karen Kornbluh, Eric Mandl, Igor Tulchinsky, Kip Wainscott
This panel convened finance executives, policymakers, and technology leaders to assess the economic, security, and workforce implications of the next industrial revolution in artificial intelligence. Experts projected multi-trillion dollar market growth and highlighted tangible enterprise gains, such as JPMorgan Chase's $1 billion in fraud savings and TD Bank's rapid AI tool adoption, while warning of existential threats to professional services and national security if human oversight is removed. The discussion concluded that while historical tech shifts ultimately expand workforces, robust legislative guardrails and new standard-setting bodies are urgently needed to balance rapid innovation with public trust and global competitiveness.
- Milken Institute36 min
Incentivizing Investment in Innovative Technologies | Finance Forum 2025
Karen Kornbluh, Doug Arent, Jennifer Hankins, Jigar Shah, Maggie Switek
A panel of experts from the NREL Foundation, Tulsa Innovation Labs, and the Milken Institute discussed strategies to compress multi-decade innovation timelines into three-to-five-year cycles for clean energy and AI deployment. Speakers highlighted the critical need to shift from linear financial incentives to unconventional cross-sector partnerships, warning that failing to rapidly scale domestic manufacturing risks transferring intellectual property to competitors like China. The consensus emphasized that accelerating grid capacity through virtual power plants and regulatory agility is essential to unlocking private capital and ensuring U.S. economic growth.
- Milken Institute57 min
The Geopolitics of AI | Global Conference 2024
Erik Schatzker, Karen Kornbluh, Eva Maydell, Anne Neuberger, Karen Pierce, Kevin Rudd
This panel examination characterizes the U.S.-China relationship as a strategic AI competition where the United States maintains an edge in foundational models while leveraging export controls to slow Chinese semiconductor access. The discussion contrasts Western regulatory approaches, such as the EU AI Act, against China's state-driven dominance, while emphasizing a shift toward plurilateral governance among democracies to mitigate risks like election interference and disinformation. Ultimately, experts argue that long-term competitiveness hinges on public-private partnerships and alliance cohesion rather than multilateral frameworks that could empower adversarial regimes.