Panel
Venture Capital: Investing in AI | RAISE Summit 2024 | Paris
- Merantix projects that the application layer will generate the greatest value within the AI value chain over the next 10 to 20 years, predicting that current high valuations in infrastructure and model layers driven by hype will contrast with low valuations in vertical industry-specific applications where adoption remains limited.
- The market currently operates in a "full price discovery mode" with no established benchmarks, as most AI companies possess zero revenue, forcing valuations to rely on assumptions that these entities will become monumental in the very near future.
- Regulated sectors including medical, healthcare, biotech, and legal are viewed as high-potential areas for new business models, though they face significant headwinds regarding compliance and the necessity of overcoming regulatory barriers to reach mainstream utility.
- The venture capital industry is transitioning from reliance on luck and instinct toward data-driven strategies, utilizing machine learning to screen millions of startups, automate lead generation from social media, and enhance portfolio management through real-time comparative analysis.
- Alpha Intelligence Capital and Merantix are developing proprietary data models and smart algorithms that leverage communities of thousands of data scientists to formulate market theses, identify founders, and flag risks with reduced bias and increased speed.
- Future operational models envision direct communication between VC and developer agents utilizing blockchain infrastructure for automated capital allocation, alongside a broader ecosystem where AI agents manage transportation and capital decisions.
- While the US ecosystem is characterized by high capital velocity and investment enthusiasm, the European entrepreneurial ecosystem is assessed as several generations behind, hindered by a cultural aversion to failure and government hesitancy in deploying funds.
- Funds such as Lightspeed intend to apply decades of infrastructure investment experience to the current AI wave, anticipating that new categories will initially appear as toys before rapidly evolving into material, utility-based systems.
- Machine learning is expected to augment, rather than replace, human investors by processing data signals while human judgment remains critical for assessing culture and relationships, with Lightspeed maintaining presence in London, Paris, India, and Israel to access early talent.