Unlike human-driven growth, which is limited by population and waking hours, AI agents can operate, replicate, and call each other endlessly. This creates a potentially infinite demand for compute infrastructure, far exceeding previous models and leading to massive, unpredictable strains on providers.

AI agents eliminate the physical work of typing and coding, but introduce a new form of burnout. The constraint on output is no longer time spent "doing," but the limited human capacity for high-stakes decision-making, context switching, and verification, which drains mental energy much faster.

An initial era of AI-driven superabundance will eventually end as the machine economy hits new resource limits (e.g., land, energy). At this point, the opportunity cost of allocating resources to "unproductive" legacy humans will skyrocket, and they will be outcompeted by more efficient virtual beings.

For the first time in history, AI could create a world where our ability to produce goods and services outstrips our capacity to consume them. This poses a fundamental challenge to traditional economic models built on scarcity and resource allocation.

Even if AI can autonomously generate thousands of viable companies, their success is constrained by the scarce resource of customer attention. The proliferation of AI-generated businesses creates a discovery problem, as potential customers lack the time to find and evaluate them, making marketing the key barrier.

Despite massive infrastructure investments, Greg Brockman believes demand for AI will consistently outstrip supply, leading to a long-term state of "compute scarcity." As AI tackles bigger problems like curing diseases, the appetite for computation will prove effectively infinite, making it a chronically scarce resource.

As AI commoditizes execution and intellectual labor, the only remaining scarce human skill will be judgment: the wisdom to know what to build, why, and for whom. This shifts economic value from effort and hard work to discernment and taste.

The key to predicting AI's economic impact is not focusing on the abundance it creates, but identifying what will remain scarce. As automation made goods cheap, the economy shifted to scarce services. The next economic transformation will similarly be driven by whatever human skills or experiences AI cannot replicate.

As AI agents increasingly automate tasks, the cost of 'doing' work plummets. Greg Brockman argues the most valuable and scarce resource becomes human attention for oversight, judgment, and ensuring AI actions align with high-level goals and values. The core of future work will be deciding 'what' and 'why', not 'how'.