Technology.

Large-cap technology is the most heavily covered yet frequently misunderstood sector in global equity markets. Consensus models focus on quarterly revenue beats and earnings multiples while missing the structural dynamics that actually drive long-term value creation: the depth of platform moats, the economics of cloud margin expansion, the return profile of AI capital expenditure cycles, and the regulatory vectors that could reshape market structure over a decade.

We approach technology differently. Every platform company is a system of interlocking network effects, switching costs, and data advantages that compound at different rates. Apple's ecosystem lock-in through hardware-software-services integration creates different durability characteristics than Google's information retrieval monopoly or Meta's social graph density. Understanding these moat architectures at a granular level — which are strengthening, which are eroding, and where new competitive vectors are emerging — is what allows us to distinguish between genuine compounders trading at fair multiples and consensus favorites priced for perfection.

The current technology landscape is being reshaped by the most significant platform shift since mobile: artificial intelligence. The magnitude of capital being deployed — over $200 billion in combined hyperscaler capex in 2025 alone — creates both enormous opportunity and significant risk. Our research focuses on identifying which companies will generate returns on this investment that exceed their cost of capital, and which are engaged in a capex arms race that will ultimately destroy shareholder value. History shows that not every dollar spent on transformative technology earns a return — the fiber optic buildout of 1999-2001 proved that infrastructure investment and equity returns are not the same thing.