Instead of betting on which AI models or applications will win, Karmel Capital focuses on the infrastructure layer (neocloud companies). This "pick and shovel" strategy provides exposure to the entire ecosystem's growth with lower valuations and less risk, as infrastructure is essential regardless of who wins at the top layers.
The true differentiator for top-tier companies isn't their ability to attract investors, but how efficiently they convert invested capital into high-margin, high-growth revenue. This 'capital efficiency' is the key metric Karmel Capital uses to identify elite performers among a universe of well-funded businesses.
Beyond automating data collection, investment firms can use AI to generate novel analytical frameworks. By asking AI to find new ways to plot and interpret data inputs, the team moves from rote data entry to higher-level analysis, using the technology as a creative and strategic partner.
A common mistake in venture capital is investing too early based on founder pedigree or gut feel, which is akin to 'shooting in the dark'. A more disciplined private equity approach waits for companies to establish repeatable, business-driven key performance metrics before committing capital, reducing portfolio variance.
Go beyond analyzing the founding team by treating the entire employee base as a key asset. By measuring metrics like employee retention rates, hiring velocity, and geographical or role-based growth, investors can build a quantitative picture of a company's health and culture, providing a powerful comparative tool.
For companies wondering where to start with AI, target the most labor-intensive, process-driven functions. Customer support is an ideal starting point, as AI can handle repetitive tasks, leading to lower costs, faster response times, and an improved customer experience while freeing up human agents for more complex issues.