Podcast Summary: "How AI Will Reshape Medical Research and Healthcare Delivery"
Becker’s Healthcare Podcast — February 7, 2026
Guest: Dr. Giovanni Piedimonte, Professor, Tulane University
Host: Chris Sosa
Episode Overview
This episode dives deep into how artificial intelligence (AI)—especially agentic and generative AI—will transform the healthcare industry, particularly in medical research and healthcare delivery. Dr. Giovanni Piedimonte, an experienced physician-scientist and AI task force chair at Tulane University, shares insights on the accelerating changes AI will bring, its risks, the challenges of workforce disruptions, and what the future could look like as healthcare increasingly partners with machines.
Key Discussion Points & Insights
Dr. Piedimonte’s Background and AI Involvement
- Career Overview ([01:18])
- Over 30 years in respiratory medicine and research, with significant NIH funding.
- Administrative experience as division chief, department chair, president at Cleveland Clinic Children’s Hospital, and VP for Research at Tulane.
- Current sabbatical has allowed deeper exploration into AI, quantum computing, and advanced technology’s impact on healthcare.
Evolution and Findings of Tulane’s AI Task Force
- Task Force Collaboration ([03:15])
- Engaged with interdisciplinary experts beyond healthcare.
- Produced a blueprint outlining opportunities and risks of AI in research.
- Key Impacts of AI in Research
- Predicted near-total automation of grant management and administrative tasks.
- AI to reduce repetitive work, lower costs, and improve data verification, especially regarding plagiarism and data fabrication.
- “Virtually every single component of what today is the administration, management of grants... is going to become virtually independent from human input.” ([03:40])
- AI in Data Analysis
- Using AI to analyze epidemiology and population health data, surfacing insights undetectable by humans.
- Potential for many experiments to be digitally simulated, greatly accelerating drug and treatment development.
- Predictions for New Technologies
- Robotic surgery will make dramatic advances ([05:41]).
- The professional landscape for doctors and lawyers will shift considerably—collaborating with, rather than just using, computers and robots ([06:30]).
Major Risks and Ethical Concerns of AI
- Categorized Risks ([07:20])
- Intellectual property and confidentiality: Genomic and health data could be difficult to keep secure.
- “These technologies are going to make almost impossible to keep data confidential, safe and so forth.” ([07:47])
- Bias and inequality: Data sets may reinforce existing inequalities.
- Cost and energy use: AI development is expensive and highly energy-intensive.
- Ecosystem volatility: Tech cycles are accelerating from years to months, creating obsolescence and cost challenges.
- Hallucinations and reliability: AI mistakes could have severe consequences, especially in critical applications.
- “You put a lot of vital functions ... in the [hands] of artificial intelligence. When you have an hallucination that can cost a lot…in terms of human lives.” ([14:09])
- Intellectual property and confidentiality: Genomic and health data could be difficult to keep secure.
- The Coming Wave: Agentic & Embodied AI
- Agentic AI (autonomous systems) and embodied AI (robotics) will be far more disruptive than current generative AI, reducing human control over processes.
- Dr. Piedimonte predicts 2026-2027 will be historic for AI’s maturation and impact ([13:57]).
Trust, “Skill Downregulation,” and Workforce Implications
- Trusting AI & Human Skill Loss ([16:33])
- Dr. Piedimonte fears AI’s biggest risk is not mistakes, but humans losing core skills because machines do everything:
- “I think that we risk to have generations of people who are going to forget how to read, how to think, ... to calculate, ... to strategize.” ([17:26])
- Dr. Piedimonte fears AI’s biggest risk is not mistakes, but humans losing core skills because machines do everything:
- Job Displacement and Societal Disruption ([19:35])
- AI will automate many repetitive and administrative healthcare tasks, eliminating jobs across all levels—including areas previously thought untouchable, like clinical procedures.
- “It's going to kill a lot of jobs.” ([19:57])
- There’s no practical way for organizations to resist these changes as AI brings dramatic cost and efficiency improvements.
- Societal responses such as reduced work weeks and basic universal income are being discussed internationally to address unemployment.
- AI will automate many repetitive and administrative healthcare tasks, eliminating jobs across all levels—including areas previously thought untouchable, like clinical procedures.
Reskilling: Challenges and Realities
- Reskilling Older Workers ([27:57])
- Plans to retrain entire segments of displaced workers are widely discussed but are often unrealistic for established professionals.
- “It's not easy to get a 50 year old ... and basically convert [them] into a Google engineer.” ([28:09])
- Large-scale transitions will be difficult for those used to older systems—or, as Dr. Piedimonte notes, even adapting to technologies like electronic medical records was a barrier for many.
- Plans to retrain entire segments of displaced workers are widely discussed but are often unrealistic for established professionals.
The Human Element and Ethical Imperative
- Retaining Human Centrality ([29:36])
- AI and digital tools should remain in service to human well-being—not the reverse.
- “To put the humans at the service of the machines is going to be a major strategic error.” ([29:49])
- The importance of keeping patients and staff central in healthcare decisions.
- AI and digital tools should remain in service to human well-being—not the reverse.
Notable Quotes & Memorable Moments
-
On AI’s Automation of Research Tasks:
“I predict that virtually every single component of ... administration [and] management of grants ... is going to become virtually independent from human input.” — Dr. Piedimonte ([03:40]) -
On Data Security:
“These technologies are going to make almost impossible to keep data confidential, safe and so forth.” — Dr. Piedimonte ([07:47]) -
On Inequality:
“Some people see in AI a democratic force... that is not necessarily going to happen.” — Dr. Piedimonte ([08:14]) -
On the Risks of accelerated AI adoption:
“The more we rely on artificial intelligence, the more we are at risk of the so called hallucinations.” — Dr. Piedimonte ([13:42]) -
On Human Skills Atrophying:
“I think that we risk to have generations of people who are going to forget how to read, how to think... because all those things can be done very quickly and very easily by this tool.” — Dr. Piedimonte ([17:26]) -
On Workforce Disruption:
“There are very few things that robots, artificial intelligence are not going to be able to do… you project these trends forward... we have a significant problem.” — Dr. Piedimonte ([23:07]) -
On the Importance of Keeping Humans Central:
“We have to continue… to put human being at the center, because artificial intelligence…[is] going to be helpful and useful only for as much as gonna make people happier.” — Dr. Piedimonte ([29:38])
Future Directions and Dr. Piedimonte’s Next Moves
- Dr. Piedimonte plans to continue clinical care and research, with particular interest in the interface between agentic AI, quantum computing, and hybrid cloud systems ([30:42]).
- Predicts the “real competition” will be around hybrid data clouds enabling AI collaboration—not just the AI algorithms themselves.
- Warns that healthcare and society must prepare for a “perfect storm” of unprecedented changes in culture, work, and organization as AI technologies achieve maturity and scale.
Key Timestamps for Reference
- 01:18 — Dr. Piedimonte’s background and research focus
- 03:15—15:35 — Insights from Tulane’s AI task force (opportunities and risks)
- 16:33—19:30 — Trust in AI, hallucinations, and human skill loss
- 19:35—26:36 — Workforce disruption, job losses, and the impossibility of resisting AI’s adoption
- 27:07—29:57 — Reskilling, older workers, and keeping humans at the center of technology
- 30:42—32:55 — Dr. Piedimonte’s future research and predictions for AI’s next era
Conclusion
This conversation with Dr. Giovanni Piedimonte offers an unvarnished, deeply informed look at how AI is both exciting and threatening for healthcare. The episode stands out for balancing optimism about AI’s potential in research and delivery with warnings about social, ethical, and human consequences. Listeners are left with a sense of urgency to look beyond the hype and ensure technology serves, rather than supplants, humanity.
