Dr. Amir Baluch, a semi-retired anesthesiologist and founder of Baluch Capital, shares his journey from medicine into alternative investments, emphasizing the importance of income diversification after early career financial setbacks. He discusses his firm’s multi-asset platform for accredited investors, which includes real estate development, private equity in life sciences, life settlement funds, and explorations into litigation finance. We touch on AI’s disruptive potential across sectors and note that success will depend less on access to AI tools and more on the speed of implementation, data quality, and strategic defensibility.
We discuss...
- Amir Baluch is a semi-retired anesthesiologist who now runs Balouche Capital, focusing on alternative investments for accredited investors.
- Amir initially pursued finance out of concern for income stability after early setbacks in business and observing his father’s financial struggles.
- Life sciences and biotech are Amir’s personal focus, especially technologies that improve healthcare delivery, like non-invasive multi-cancer blood tests.
- Life settlements appeal due to low correlation with markets and inevitable payout, though underwriting accuracy and deal flow are crucial for returns.
- Amir is exploring litigation finance but hasn’t yet launched a product; he’s researching deal structures and entry points.
- Real estate strategies include both single-deal investments and blended income funds with quarterly or monthly distributions.
- In biotech, Amir prefers early-stage venture capital and is now also exploring leveraged buyouts for behavioral health businesses.
- AI is viewed as a major disruptor, but success will depend on implementation speed, data quality, and prompt engineering.
- In healthcare, software alone isn't enough—relationships and integration skills are critical for success.
- Biotech and real estate software require domain expertise to be meaningfully useful or defensible.
- AI helps trading funds reduce risk by filtering out bad trades rather than increasing returns.
- Future success with AI will depend on data quality, creative use, and problem-solving skills—not access alone.
- Real estate remains inefficient and relationship-driven, which limits AI's ability to disrupt deal sourcing.
- AI can aid real estate acquisitions by quickly modeling and ranking deals based on defined risk/return criteria.
- Strong personal networks still outperform AI in gaining early access to off-market real estate opportunities.
Today's Panelists:
Kirk Chisholm | Innovative Wealth Diana Perkins | Trading With Diana
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