Rohan Paul

Mark Zuckerberg: "Most businesses will not own frontier AI in the way Meta or OpenAI does. But many will end up with something that feels like their own AI: a customized operational layer that reflects how that company actually works." --- The model itself may become replaceable faster than the agent’s execution environment. If Zuck is right, most companies will be building an AI operating layer around the business, its workflows, permissions, institutional context, internal tools, customer relationships, policies, and ways of making decisions. As models become faster and cheaper, an increasing share of the complexity of enterprise AI may sit outside the model: orchestration, identity, state, tool execution, observability, authorization, memory and recovery when something goes wrong. The real monetization shift is from selling intelligence to taxing executed intent. Monetize action rather than attention. Once an agent can buy, book, pay, renew, or cancel on a user’s behalf, the economically valuable asset is no longer the conversation—it is the delegated authority to complete the transaction. Consumer AI today largely monetizes through subscriptions and advertising, whereas agents create the possibility of monetizing transactions — buying products, booking travel, paying bills or managing recurring services on behalf of the user. And then for the hardare side of the industry, agentic workloads are structurally different from chatbot workloads because agents continuously browse, retrieve, plan and execute actions. That will push compute demand beyond pure model inference and toward CPUs, memory, networking, packaging, cooling and the broader data-center stack. --- From 'Cleo Abram' YT channel (link in comment)