Identifying Nonobvious AI Winners

Key Concepts

• AI-Driven Drug Discovery: Utilizing machine learning to predict clinical trial outcomes and identify therapeutic compounds.
• Distribution-Led AI: The strategy of integrating AI into existing, widely-used platforms (e.g., Canva) to achieve mass adoption.
• World Models vs. Language Models: A shift in AI focus from text-based generation to models that understand and interact with the physical world.
• Contrarian Investing: Seeking high-impact, non-obvious applications of AI, particularly in life sciences, rather than focusing solely on software or legal tech.

1. AI in Biotechnology and Life Sciences

The discussion highlights a strategic shift toward using AI to solve complex biological problems. The speaker emphasizes that while many focus on software or legal applications, the most significant potential lies in curing life-threatening diseases.

• Formation Bio: A drug discovery company that uses AI to predict clinical trial results. They have identified a drug capable of regrowing knee cartilage, potentially eliminating the need for knee replacement surgeries.
• Strand Therapeutics: A company utilizing AI to optimize the creation of mRNA-based cancer drugs.
• Invea: A firm that leverages AI to identify potential drug candidates derived from natural ingredients.
• Investment Philosophy: The speaker notes that these investments are "non-obvious" and "contrarian," focusing on high-impact outcomes rather than standard software trends.

2. The Evolution of Canva

Canva is presented as a primary case study in how established software companies are successfully pivoting to become AI-first platforms.

• Mass Adoption: Canva is currently the third most accessed platform for AI, trailing only ChatGPT and Google.
• Distribution Advantage: The speaker argues that Canva’s success stems from its massive existing user base (particularly those under 35), which allows it to distribute AI tools to a wider audience than standalone AI startups.
• Technological Integration: Canva has expanded its capabilities through acquisitions, such as the purchase of Leonardo, to build proprietary models alongside those developed in the US.

3. Global AI Ecosystem and US Leadership

The speaker addresses the competitive landscape of AI development:

• US Dominance: Despite global interest, the speaker asserts that the US maintains a "fantastic lead" because most global companies are building upon foundational models developed in the United States.
• Geographic Decentralization: The speaker’s portfolio companies are distributed globally (e.g., Boulder, Boston, New York, Australia), proving that high-level AI talent is not confined to a single hub.

4. Future Outlook: HumanX and World Models

The discussion touches on the "HumanX" event and the future trajectory of AI technology.

• World Models: The speaker highlights a significant industry shift toward "world models"—AI that understands physical environments—as opposed to the current focus on Large Language Models (LLMs).
• Unpredictability: Drawing a parallel to the mobile revolution 10 years ago, the speaker notes that it is impossible to predict the exact utility of AI a decade from now. Just as no one predicted the mobile phone would be used to "book a car" (ride-sharing), the current imagination of AI’s potential is likely only scratching the surface.

5. Notable Quotes

• "Canva is an AI company today... It is the third most accessed way people access AI." — On the shift from design tool to AI platform.
• "It’s such a non-obvious use of AI... We’re thinking about it, how do we cure life-threatening diseases using AI and that’s a very non-obvious contrarian insight." — On the investment strategy in biotech.
• "If you think about what AI will be 10 years from now you don’t know what the heck it’s going to do... the imagination’s wonderful." — On the long-term potential of AI.

Synthesis and Conclusion

The core takeaway is that AI is transitioning from a novelty software feature to a foundational tool for scientific and medical breakthroughs. By focusing on "non-obvious" applications like drug discovery and leveraging existing distribution channels like Canva, investors are finding ways to integrate AI into the fabric of daily life and critical healthcare. The industry is moving toward a future defined by "world models," where the true impact of AI will likely exceed current expectations, much like the unforeseen evolution of mobile technology.