"Second Opinion" with Christina Farr, Ash Zenooz MD & Luba Greenwood JD

Are we all out of a job? Examining AI’s impact in health with Towerbrook’s Eric Larsen

Jun 11, 2025

In this conversation, Eric Larsen, an expert in AI from Towerbrook and the Advisory Board, shares insights on AI's transformative impact on healthcare and society. He discusses the balance between AI efficiency and accuracy, questioning our reliance on technology that isn't 100% reliable. The dialogue explores AI's potential to reshape job markets and the future of work, emphasizing concerns over displacement. Larsen advocates for a blend of scientific and humanities education to better prepare future generations for an AI-driven landscape.

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ANECDOTE

AI Summary with Inaccuracies

Christina Farr used AI to analyze financial filings and reduced a 5-hour task to 2 minutes.
However, 5% inaccuracies meant it still took 2 hours to verify the results, prompting questions about AI's reliability.

INSIGHT

Medicine's Complexity Outpaces Humans

Medicine is the most complex and highest-dimensional data space humanity faces.
Medical knowledge doubles every 73 days, far exceeding human capacity to process it.

INSIGHT

AI as a Speciation Event

AI is growing rather than built traditionally, manifesting emergent properties beyond its creators' understanding.
This represents a speciation event, creating non-biological intelligence superior in some ways to humans.

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This week on Second Opinion podcast, Christina Farr and Ash Zenooz interview Eric Jon Larsen about the the potential and challenges of AI in healthcare and various industries, debating its role, accuracy, impact on jobs, and future implications for human society.

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LINKS:
Eric Jon Larsen (Towerbrook): https://www.towerbrook.com/our-team/eric-jon-larsen/
The 'creepy Facebook AI' story that captivated the media: https://www.bbc.com/news/technology-40790258
Genesis: Artificial Intelligence, Hope, and the Human Spirit: https://www.amazon.com/Genesis-Artificial-Intelligence-Human-Spirit/dp/0316581291
John Maynard Keynes’s Economic Possibilities for our Grandchildren: https://www.econ.yale.edu/smith/econ116a/keynes1.pdf

Christina Farr's Second Opinion Newsletter: https://secondopinion.media/

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FOLLOW:
https://www.linkedin.com/in/eric-larsen-a4a0461/
https://www.linkedin.com/in/ashzenooz/
https://www.linkedin.com/in/christinafarr/

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HIGHLIGHTS FROM THE EPISODE:
• Christina Farr tested AI on financial filings - it produced 5-hour analysis in 2 minutes but with 5% inaccuracies requiring 2 hours to verify, raising the question of whether we should wait for 100% accuracy before relying on AI
• Eric Larsen argues AI represents a "speciation event" - unlike previous technologies that augmented human capabilities, AI will replace cognitive work entirely as we create "non-biological intelligence" superior to humans
• Healthcare faces a perfect storm: medical knowledge now doubles every 73 days (vs 50 years in 1950), 2.3 million biomedical studies published annually, and humans already exceed ability to process medical knowledge
• AI shows superior empathy in healthcare - people tell truth to chatbots but lie to humans to avoid embarrassment, and chatbots provide infinite patience compared to overworked physicians
• China announced first AI hospital with 26 specialties testing 10,000 synthetic patients with higher diagnostic accuracy than human doctors, while US regulatory barriers slow adoption
• Counterintuitive prediction: high-cognition jobs (doctors, lawyers, consultants) will be disrupted before physical jobs due to "Moravec's Paradox" - algorithms mastered chess and Go but struggle with basic motor skills
• The healthcare narrative that "AI won't replace doctors, but doctors using AI will replace those who don't" is a "bedtime story" - real trajectory points toward AI systems exceeding human diagnostic capabilities
• Economic transformation ahead includes potential 30% annual productivity improvements, massive deflation as AI drives costs toward zero, and need for new social redistribution policies
• Larsen advises next generation to "learn for agility" - study humanities plus STEM, become "cybernetic" human-machine collaborators, and develop AI proficiency as core mental operating system
• Critical window exists to shape AI development before it achieves "escape velocity" through automated AI research, creating infinitely replicable researchers sharing a "hive mind" of knowledge