The massive demand for AI data centers is pushing unconventional property owners, like a Pennsylvania haunted house proprietor, to pivot. They de-risk the initial stages (zoning, grid connection) to create valuable, shovel-ready sites for hyperscalers, showcasing a new real estate niche.

Instead of selling software to traditional industries, a more defensible approach is to build vertically integrated companies. This involves acquiring or starting a business in a non-sexy industry (e.g., a law firm, hospital) and rebuilding its entire operational stack with AI at its core, something a pure software vendor cannot do.

Unlike scalable digital businesses, real estate has a hard ceiling on returns. You can't innovate on a property to dramatically increase revenue without massive capital expenditure. This lack of operational leverage limits its upside compared to businesses where profits can be reinvested into growth initiatives.

ReSeed finds significant opportunities in the sub-institutional market driven by operational incompetence, not just market cycles. Assets are often mispriced due to unsophisticated owners, brokers who don't understand the property's potential, or busted sales processes like listing on residential MLS.

Real estate owners were skeptical of new tech. Instead of focusing on operational cost savings, Metropolis's go-to-market strategy centered on proving they could capture more revenue by eliminating leakage (e.g., when gates are up), which directly increased the underlying value of the real estate asset.

Real estate investors focus on AI for operational efficiency, but its largest financial impact will be on the underlying assets. AI will fundamentally alter property values by changing work patterns and residential demand, an effect that dwarfs any potential operational savings from automating management.

As AI commoditizes software development, the traditional VC model of taking minority stakes in asset-light companies is becoming outdated. The new opportunity lies in building entire businesses from scratch in capital-intensive sectors like real estate and healthcare, moving from investors to company builders.

As AI commoditizes software creation, the primary source of sustainable value shifts from the software itself to the unique, high-quality data that AI agents use for decision-making. Businesses must re-center their strategy around data as the core asset.

The next generation of category-defining real estate businesses will likely originate from the tech world, not the traditional property sector. This is because creating value in areas like edge computing requires a deep understanding of how technology reshapes the fundamental use of physical space.