The race to build the next trillion dollar company

Key Concepts

• Venture Capital (VC) Investment Horizon: Typically 10 years, focusing on long-term growth.
• AI Disruption: Artificial Intelligence is a transformative technology impacting various industries.
• Value Layer in AI: Identifying where true value is created within AI applications, not just the technology itself.
• "Sleepier Industries": Less obvious sectors that AI can disrupt, offering potentially higher returns due to less competition.
• Job Ramifications of AI: AI is expected to automate parts of jobs, leading to increased efficiency and potential job displacement.
• Founder Archetype: The "perfect founder" is not universal but is the right fit for a specific idea, possessing both a "microscope" (execution) and "telescope" (vision).
• Diversity in Founding Teams: Diverse backgrounds, skill sets, and viewpoints lead to better outcomes and stronger companies.
• Public vs. Private Markets: Differences in valuation, competition, and the role of established tech giants.
• "Swim Lanes": Identifying niche areas where startups can compete effectively against large tech companies.
• M&A in Tech Cycles: Acquisitions by larger corporations are expected to increase as startups mature.
• Risk and Probability-Adjusted Outcomes: A key consideration for VCs when deciding to invest or exit.

Market Outlook and AI Investment

Carter Ree, co-founder of M13, discusses the current market sentiment, noting that while metrics have been rising, the focus is heavily on AI and hyper-growth. He contrasts this with the longer, 10-year time horizons typical in venture capital. Ree emphasizes that simply investing in "AI" is not a guaranteed path to success, as many areas are overheated, similar to the 2020-2021 period. The critical aspect for early-stage investors (seed and Series A) is to identify the "value layer" within AI and understand its implications and use cases, rather than just the technology itself.

The Pace of Innovation and AI's Impact

The conversation highlights the rapid pace of innovation in AI, with what happened six months ago being significantly different from today. This accelerated pace of change and disruption is a new reality. Ree believes that companies emerging from this AI innovation cycle have the potential to become trillion-dollar entities, not just billion-dollar ones.

Identifying Next Big Opportunities in AI

M13's investment thesis focuses on AI disrupting "sleepier industries" where competition is less intense. An example provided is Prepared, a company using AI to disrupt 911 call centers, which was recently acquired by a strategic buyer. Another example is Nural, which uses AI to disrupt the "employee of record" space. The strategy is to find less obvious applications of AI that can lead to new business models and innovations.

AI and Job Ramifications

Ree acknowledges that AI will undoubtedly lead to job displacement, comparing it to historical technological shifts like the industrial revolution. He estimates that the bottom 20-25% of most jobs could be automated. While this may lead to companies becoming leaner, it also presents an opportunity for individuals to focus on more impactful tasks. The future may involve managing a combination of human employees and AI agents.

Founder Selection and Investment Process

M13 receives thousands of pitches annually but makes only 10-15 investments. The selection process relies heavily on "pattern recognition" and understanding the nuances of why a particular founder is the right fit for their idea. A key question asked is, "Why wouldn't somebody else do this?"

Competition in the Current Innovation Cycle

This AI innovation cycle is distinct from previous ones (e.g., the iPhone era) where innovators competed with other innovators. Now, innovators are competing with the largest, most well-funded, and powerful technology companies (like Google and Apple) that possess capital, talent, and vast data sets. This makes it increasingly challenging for startups to find their "swim lanes" and compete effectively.

Motivation for Founders and M&A

The motivation for founders in this environment is evolving. While creating a great product is still key, the increasing dominance of large tech companies suggests a potential rise in mergers and acquisitions (M&A). Ree anticipates more companies will be acquired by multinationals as they scale. He references their book, "Shortcut Your Startup," which statistically suggests the difficulty of founding a unicorn.

The "Perfect Founder" Archetype

Ree defines the "perfect founder" not as a universal ideal but as the ideal fit for a specific idea. He uses the "wins above replacement" analogy from baseball. Founders need to possess both a "microscope" (for day-to-day execution) and a "telescope" (for long-term vision and anticipating future competition). The Prepared example illustrates how a founder's personal experience (surviving a school shooting) informed their drive to create a solution.

Diversity in M13's Portfolio

A significant aspect of M13's philosophy is backing diverse founders. Approximately 40% of their portfolio companies have at least one female co-founder, and 39% have at least one non-white co-founder. This is viewed not only as a moral imperative but also as good business, leading to better outcomes and stronger companies. This contrasts with the lack of diversity often seen in public company boards.

Public Company Landscape and AI Capital

Ree describes the current landscape for large public tech companies as a "game of chess" with constant disruption from new models. He reiterates that big tech companies are becoming stronger due to their resources. Regarding AI capital raises, he finds Open AI's valuations "mind-blowing." He notes that capital is coalescing around a few key names, with investors anticipating that future winners in this cycle will be significantly larger than in previous ones, potentially reaching trillion-dollar valuations.

Exiting Investments and Risk Management

When deciding to exit an investment, VCs consider "risk and probability-adjusted outcomes." They assess the future "J curve" of a company. While acknowledging Warren Buffett's adage about selling too early, M13 prides itself on consistently returning capital to its investors.

Hot Takes and Future Outlook

If not in VC, Ree would likely be in private equity, following a more traditional career path. His current focus is on identifying the implications of technology and undiscovered business models. He reiterates that while Nvidia is a significant player, the private market conversation is dominated by AI. He expresses excitement about the future and the ongoing fun of his job.