Keep pulling the thread on CJ Desai.
Sarah Guo states that a dominant thesis among investors is anxiety that AI-native application companies will struggle because most of the value will be captured by the foundational model layer.
CJ Desai asserts that the number of pure-play software companies with more than $10 billion in annual revenue is in the single digits.
CJ Desai believes that predictions of some software companies having a terminal value of zero due to the rise of AI are overblown.
CJ Desai's business philosophy is that platforms are inherently sticky and defensible, whereas individual products are not.
A CTO at a large bank in London told CJ Desai that the bank runs 300 critical applications on MongoDB out of a total of 9,000 applications.
Sarah Guo observes a theory that "vibe coding" and code generation will enable companies to create many of their niche software applications on-demand internally, rather than buying standardized products.
Large enterprise customers, particularly in banking, often require multi-cloud resiliency (e.g., support for AWS and GCP) and on-premise, air-gapped deployment options, which can be a barrier for new software vendors.
CJ Desai states that a key question investors are asking incumbent software companies is whether AI will re-accelerate their growth.
CJ Desai asserts that MongoDB is the only truly disruptive force in the database market, which has been established for over 50 years.
According to former CEO Dave, MongoDB is the only disruptive database company to have surpassed $1 billion and then $2 billion in revenue.
CJ Desai asserts that the data layer and the LLM layer are two permanent, essential components of the modern AI software stack.
Based on his customer conversations, CJ Desai reports that many Fortune 500 and Global 2000 companies have received unclear or limited value from office productivity AI co-pilots.