AI is fundamentally shifting business models, making software moats indefensible and prioritizing compute over human labor.
The future of most AI inference lies not with large frontier models, but with commoditized, open-source, and specialized models.
Mercor is a 'legendary independent company' in the making, focused on long-term growth and profitability rather than a near-term acquisition.
The cost structure of modern tech companies is inverting, with AI-related expenses like API token spend now exceeding traditional costs like employee salaries.
AI capabilities are advancing at an exponential rate, soon enabling the complete replication of complex SaaS applications and simultaneously creating novel security vulnerabilities.
2023-09
Mercor raised a $2.3 million seed round at a $23 million valuation from General Catalyst when it had approximately $1 million in ARR.
2024-05
Mercor raised a Series A at a $250 million valuation from Benchmark with $2.5 million in ARR.
circa 2024-09
Four months after its Series A, Foody claims Mercor received a term sheet from Felicis at a $2 billion valuation when at $20 million in ARR.
Recent Past
Mercor experienced a security incident where an attacker used a swarm of coding agents, prompting the company to engage Mandiant and add security as a core value.
Last 60 Days
Following the security incident, Foody claims Mercor added $300 million in net new ARR.
Claimed: 2025-10
Foody states that in October 2025, Felicis provided Mercor with a term sheet at a $10 billion valuation when the company was at a $400 million revenue run rate.
▶AI-Driven Business Model DisruptionJun 2026
Foody argues that AI is fundamentally rewriting the rules of business, rendering traditional software moats obsolete and shifting value from human capital to computational power. He believes companies without network effects will be easily replicated, and enterprises will soon spend more on compute than employees.
This perspective suggests a high-risk, high-reward investment environment where incumbent SaaS companies are vulnerable, and new AI-native companies with strong network effects or foundational model access hold the advantage.
▶Mercor's Hyper-Growth and AmbitionJun 2026
Foody portrays Mercor as a company on an extraordinary growth trajectory, citing rapid increases in ARR, massive valuation jumps, and significant cash reserves. He emphasizes a long-term vision of building a 'legendary independent company,' rejecting large acquisition offers to maintain control.
The narrative of hyper-growth, profitability, and long-term independence is designed to position Mercor as a dominant future player, but the rapid succession of high-valuation term sheets also points to a frothy, perhaps unsustainable, funding environment.
▶The Commoditization of the AI StackJun 2026
Foody predicts a future where the API layer for foundation models becomes a commodity due to zero switching costs. He believes the majority of AI work will shift to cheaper, specialized open-source or distilled models, rather than relying solely on expensive frontier models.
This view challenges the long-term defensibility of AI labs that only sell API access and suggests that value will accrue to companies that can effectively orchestrate or fine-tune these commoditized resources for specific applications.
▶Emerging AI-Native Threats and OpportunitiesJun 2026
Foody highlights the dual nature of advanced AI, pointing to new security threats like 'swarms of coding agents' while also seeing an 'enormous boom' in AI security engineering tools. His own company's security incident serves as a case study for this new reality.
This theme indicates that the AI arms race extends beyond capabilities to security, creating a new, lucrative market for AI-specific defense mechanisms and making robust security a critical differentiator for any company operating in the space.