Lerer Hippeau's Eric Hippeau on AI's Second Wave of Startups

Eric Hippeau, Managing Partner at Lerer Hippeau, is witnessing a transformative period in the venture capital world, particularly within the artificial intelligence sector. In a recent discussion, Hippeau highlighted the immense activity and the emergence of a 'second generation of AI startups.' He noted that while the current enthusiasm for AI is palpable, leading to what he describes as 'nonsensical' early-stage valuations, discerning genuine potential amidst the hype remains critical.

The AI Investment Boom and Valuation Challenges

Hippeau pointed out the current trend where "seed stage is very hot, valuations in some cases are extremely high." He elaborated that this frenzy is driven by a collective belief in the transformative power of AI, but it presents a challenge: "We can debate how high is too high." This sentiment underscores the difficulty in assessing the true worth of nascent AI companies, especially when their ambitious valuations are not yet backed by proven business models or substantial traction.

The full discussion can be found on Bloomberg Technology's YouTube channel.

The core issue, as Hippeau explained, is the duality of the situation: "Companies can raise these rounds at these crazy valuations, but then they don't achieve the high growth that would allow them to raise a Series A because the valuation that they started with was too high." This creates a potential disconnect where the initial capital injection may not be sufficient to bridge the gap to the next stage of funding if the company fails to meet its ambitious growth targets, leaving them in a precarious position.

Lerer Hippeau's Investment Philosophy

Lerer Hippeau, a firm with a long history of successful seed-stage investing, is adapting its strategy to navigate this dynamic market. Hippeau stated, "We've been doing this now for 17 years. We're looking for that needle in a haystack, that exceptional founding team." The firm's approach emphasizes not just the market opportunity or the technological innovation, but fundamentally the quality of the founders. "It's not just the quality of the person in terms of thinking and their ability to execute, but also their personality and their ability to build a business," Hippeau elaborated.

He further elaborated on the firm's focus, stating, "We avoid investing in things that don't have much of a moat, and we're looking for people who have domain expertise, who have a passion, and that are going to be building a business that leverages AI." This indicates a preference for startups with a defensible competitive advantage, founders with deep understanding of their respective fields, and a clear strategy for integrating AI to solve real-world problems. The firm is essentially seeking companies that can demonstrate a clear path to product-market fit and sustainable growth, rather than those simply riding the AI wave.

The Second Generation of AI Startups

Hippeau sees a distinct shift towards a 'second generation' of AI companies, drawing parallels to previous technological cycles. "We saw this in mobile, we saw this in previous technological cycles," he noted. This new wave of AI startups is characterized by their ability to create products that were not feasible with older technologies. "We're looking for founders who invent products that could not be made possible without the technology of today, and the technology of today is AI," Hippeau explained.

He continued to elaborate on this, stating, "We are looking for people who have the domain expertise, who have a passion, and that are going to be building a business that leverages AI, and that most people, you know, today are going to be using AI to launch their product." This suggests a focus on companies that are not just incorporating AI as a feature, but are fundamentally built around AI capabilities, creating novel solutions and user experiences. The firm is looking for founders who can identify and capitalize on the unique advantages that current AI technology offers.

Navigating the Seed-to-Series A Hurdle

A significant challenge for these high-valuation seed-stage companies is the transition to Series A funding. Hippeau articulated this concern: "We're looking for founders that don't have to be building the compute themselves, that can rent the compute and are going to be able to run through their product or their tokens, which are a measurement of compute." This implies a preference for companies that can efficiently access and utilize AI resources without the massive upfront capital expenditure of building their own infrastructure, allowing them to focus on product development and market penetration.

The critical question for investors, as Hippeau posed, is whether these early-stage companies can justify their valuations through tangible progress. "The question is, can they command a Series A at that scale?" he asked. "Can they justify that valuation with a Series A that doesn't have to be built on compute, that they're going to be able to rent the compute?" This highlights the need for a clear growth trajectory and a viable path to monetization that can support the high initial valuations. The success of these AI startups will hinge on their ability to demonstrate not only a great idea but also a robust execution strategy that can translate into significant returns for early investors.