i’d say the opposite: the real white space is at the application layer. everyone wants to sell shovels, but the gold is in how people actually use them. the infra race is a knife fight between hyperscalers: openai, google, anthropic, meta, amazon. they’ll undercut each other on price, latency, context window, and token cost until margins collapse. developer tooling looks safer, but it’s crowding fast and every improvement gets absorbed upstream by the foundation models or downstream by open-source forks. meanwhile, applications are where behavioural moats form. data isn’t the only barrier. habits are: -users don’t live in apis or eval dashboards; they live in experiences. -context, workflow, brand, and trust compound fast -distribution and feedback loops create data advantages that scale locally even when models converge globally. you win if you own feedback surface to capture every edit, action, and intent/ build domain depth/ embed in daily workflows/ collect proprietary exhaust (behaviour and telemetry that the model providers will never see). some infra will break through- security, evals, low-latency edge, compliance- but the broader white space is still at the application layer, where people, agents, and systems actually interact. go deep enough that a foundation model can’t care, and sticky enough that users won’t leave even when it can.