In Good Company• Jan 21, 2026• 42:42Interview

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

From In Good Company

Mala Gaonkar•Founder, SurgoCap Partners

Executive Summary

Mala Gaonkar, founder of SurgoCap Partners, outlines her investment philosophy centered on identifying a small number of high-quality businesses with long-duration competitive moats.
The firm's strategy focuses on the intersection of technology with non-tech sectors, particularly how established technologies can create new disruptions in industries like healthcare, finance, and automotive.
Gaonkar identifies significant opportunities in AI, emphasizing the recurring, annuity-like revenue potential of AI inference over the more cyclical nature of AI training, and highlights its transformative impact on medical imaging and robotic surgery.
A core tenet of the firm is a disciplined, data-driven process that mitigates cognitive biases, combined with a small, collaborative team structure to foster creative, cross-sector idea generation.

12 quotes

Concerns Raised

Execution risk in technology companies deploying large amounts of capital
The danger of emotional decision-making and over-excitement in investing
Businesses with weak balance sheets and excessive leverage
The 'spiky' and less predictable nature of AI training revenue cycles

Opportunities Identified

AI inference as a recurring, annuity-like revenue stream
Application-Specific Integrated Circuits (ASICs) that create long-duration moats in the semiconductor space
AI-driven improvements in medical imaging and robotic surgery
Proprietary real-time data providers whose workflows are difficult for AI to disrupt
Identifying how established technologies can disrupt non-tech industries

Key Themes

Long-Duration Moats as the Core Thesis

The central investment strategy is to identify and invest in a select few businesses with sustainable, long-term competitive advantages, or "moats." This is defined by high incremental returns on invested capital (ROIC) driven by multiple levers, such as process innovation and market growth, not just pricing power.

This theme explains the fund's long-term, concentrated investment approach. It signals a focus on business quality and durability over short-term market trends, which is a key differentiator in a crowded investment landscape.

Technology as a Cross-Sector Disruptor

Gaonkar posits that nearly every modern business is a technology business at its core. Her team focuses on how technology, including older innovations, intersects with and disrupts traditional industries like healthcare, automotive, and aerospace.

This perspective allows the firm to find value outside of pure-play tech companies. By understanding the "tech stack" of non-tech businesses, SurgoCap can identify unique investment opportunities and competitive shifts that more siloed investors might miss.

The AI Opportunity: Inference Over Training

The discussion on AI distinguishes between the "spiky," project-based nature of model training and the recurring, "annuity-like" revenue stream of inference (the day-to-day use of models). Gaonkar sees durable value in companies enabling cost-effective inference, such as those developing Application-Specific Integrated Circuits (ASICs).

This provides a nuanced view of the AI investment landscape, suggesting that the most sustainable value may lie not in the initial AI build-out but in its long-term, operational deployment, which has significant implications for semiconductor and cloud infrastructure investments.

AI's Unseen Impact on Healthcare

The conversation highlights the transformative, yet often underappreciated, impact of AI in healthcare. Specific examples include AI improving the speed and accuracy of medical imaging (MRIs, CT scans) by up to 70% and enhancing the precision and accessibility of the 300-million-procedure global surgery market through robotics.

This theme points to a major area of investment focus where technology is creating tangible improvements in efficiency and patient outcomes. It showcases how AI can address significant societal challenges, like rising healthcare costs, creating a powerful secular growth trend.

Process, Discipline, and Mitigating Bias

Gaonkar emphasizes the importance of a disciplined investment process designed to mitigate human cognitive biases. This includes using data science for objective checks, maintaining a small and collaborative team for creative thinking, and having a methodology to avoid emotional decision-making.

This highlights the operational philosophy behind the firm's strategy. In an industry where narratives and emotions can drive markets, a focus on a repeatable, transparent process is a key risk management tool and a source of competitive advantage.

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Processed Apr 5, 2026 yt-dlp + mlx-whisper + Gemini