Episode
Investing in Biodiversity with Venture Capitalist Tom Quigley
- Podcast
- Business for Good Podcast
- Published
- Apr 15, 2026
- Duration seconds
- 3364
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- https://businessforgoodpodcast.libsyn.com/-investing-in-biodiversity-with-venture-capitalist-tom-quigley
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Summary
Episode Summary: What if the next great venture opportunity isn't in AI or fintech but in protecting nature itself? In this episode of Business For Good, Paul Shapiro sits down with Tom Quigley, Co-founder of Superorganism, one of the first venture funds built entirely around biodiversity protection. With a freshly closed $26 million fund, Tom explains why over half of global GDP depends on healthy ecosystems, and why the degradation of those systems creates massive risk exposure for industries and supply chains worldwide. The conversation covers how biodiversity investing differs from climate tech, why cattle is among the most destructive forces for tropical ecosystems, and where venture-backed startups can intervene across areas like AI-powered wildlife monitoring, bird-safe glass, forest microbiome restoration, and silvopasture transitions. Things You Will Learn: Why over 55% of global GDP is moderately or heavily dependent on intact natural ecosystems. How biodiversity investing differs from climate tech and why it opens up categories like invasive species, bird-safe infrastructure, and soil restoration. Why cattle ranching is one of the most significant drivers of tropical biodiversity loss, hitting multiple vectors from deforestation to methane to runoff. How AI-powered camera systems are helping wind farm operators monitor and reduce bird strikes while defending against political opposition. Why bird-safe glass could prevent up to one to two billion bird deaths per year in the US alone, and what makes it an investable category. Tools & Frameworks Covered: Biodiversity Venture Thesis: A three-pillar investment framework targeting companies that disrupt industries driving biodiversity loss, operate at the overlap of climate and nature, or build enabling deep techn…