Who Will Actually Make Money From AI?
Lucas Swisser, co-head of growth investing at CO2, discusses where value will accrue in the AI stack, between foundational models and application layers. He challenges the fear of widespread job loss due to AI, arguing for increased productivity and new job creation, and predicts a shift in top market players beyond the current "Mag 7." Swisser also delves into critical infrastructure bottlenecks like power and chips, and offers investment insights for navigating the rapidly evolving AI landscape.
- Lucas Swisser and David Weisburd reveal why top AI talent chooses mission over money, making specific culture the ultimate leverage for founders to build companies that last. Read →
- Counterintuitive data from CO2's analysis shows companies above $10 billion in market cap are statistically more likely to deliver 10x returns than those below. The odds increase further for companies over $100 billion. Read →
- The fear of massive job loss from AI is a common misconception, often rooted in a zero-sum view of the economy. Read →
- Anthropic's widely publicized $50 billion ARR alone overshadows the total revenue of all independent AI application companies, showing the immense value being captured by frontier LLMs. Read →
- The so-called "Mag 7" tech giants are no longer a cohesive investment unit, with none matching the NASDAQ's 18% growth over the last six months, according to Lucas Swisser. Read →