
The News Items Podcast Episode Ten: Daniel Adamson
Apr 18, 2026
Daniel Adamson, venture investor and founder of Collective Global who partners with top managers worldwide. He explains a network-driven investment model. The conversation covers nuanced views of AI, AI’s strengths in data-rich science and drug discovery, automated robotic labs, risks to real estate and infrastructure, and cultural bets like fashion and pop culture.
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Episode notes
Judge AI By Problem Type Not Hype
- AI progress should be analyzed by the kinds of problems it solves rather than utopian/dystopian labels.
- Adamson compares today's AI investment scale to 19th-century rail and electrification, noting similarly transformative outcomes but faster timing.
AI Strength In Rule Based Combinatorics
- AI excels at rule-based, high-data, combinatorial problems like chess, Go, and biological sequence design.
- These problems have clear rules and massive search spaces that AI can search more effectively than humans.
Humanitarian Uses Fit AI's Strengths
- AI can address large humanitarian combinatorial problems like matching orphans with families by processing many languages and bureaucratic rules.
- Adamson highlights 154 million orphans as an example where scale and rules make AI useful.


