Mala Gaonkar - Founder of SurgoCap Partners | Podcast | In Good Company

2026-01-21 · 6 company · 8 thematic

sentiment

4 bull0 bear2 neu

speakers

mala gaonkar

Founded SurgoCap in 2021 with $1.8B, now ~$6B AUM. Spent 23 years as founding partner at Lone Pine Capital, one of the most successful hedge funds. Focuses on concentrated, long-duration moats across enterprise data/tech, financial services, healthcare services, and industrial technologies. Uses data-science debiasing and private-market access.

quote

“there about 300 million surgeries conducted globally. Uh and they're just beginning to be penetrated uh by you know what's happening with robotic surgery specifically you know companies like intuitive surgical.”

—mala gaonkar

now playing · $ISRG

$ISRG···bullish· medium· posmala gaonkar

Robotic surgery penetration of 300M annual procedures seen as massive runway

Only early innings of robotic surgery adoption across ~300M global surgeries; combination of haptic feedback, mapping software, and surgical workflow integration drives lower erro…

$TSM···bullish· medium· posmala gaonkar

TSMC's process-engineering moat cited as systemic, multi-layered advantage

TSMC owns not just the leading-edge fab but the entire process-engineering ecosystem around chip manufacturing, creating a systemic moat that is hard to replicate.

$NVDA···bullish· high· posmala gaonkar

Gaonkar details Nvidia inference moat and admits sunk-cost bias from 2015 exit

Inference is the annuity stream of AI; application-specific chips (ASICs/TPUs) built for inference workloads create very long-duration moats. Gaonkar missed the full move after se…

$GOOGL···bullish· medium· posmala gaonkar

Google's custom TPU inference stack highlighted as key AI infrastructure play

Google's vertically integrated TPU stack for inference workloads reduces cost and creates a durable moat in the AI inference layer.

$OPENAIneutral· lowmala gaonkar

OpenAI building proprietary inference stack alongside Google and Anthropic

Major frontier model providers are each developing their own inference infrastructure, reinforcing the view that inference is a distinct, defensible layer.

$ANTHROPICneutral· lowmala gaonkar

Anthropic building proprietary inference stack alongside Google and OpenAI

Major frontier model providers are each developing their own inference infrastructure, reinforcing the view that inference is a distinct, defensible layer.