The current global compute shortage is driven by a very small, concentrated group of early adopters. As AI diffuses from this niche to the 1.5 billion knowledge workers worldwide, the supply-demand imbalance is poised to become exponentially more severe.

Mamoon Hamid views AI's true market size not as a software category, but as a portion of the $60 trillion global labor market. Frontier models sell "units of labor," which is why companies like Anthropic can scale revenue so rapidly by tapping into a much larger pool of value.

The enormous spend on AI for coding is already approaching a substantial percentage (e.g., 20%) of the total US software engineering wage bill. This hyper-growth trajectory suggests AI companies might exhaust their primary addressable market far faster than any previous technology wave.

Framing AI as the next evolution of software dramatically underestimates its market size. AI's true TAM is the vast, multi-trillion-dollar labor economy it is augmenting and automating. This market is orders of magnitude larger than traditional SaaS, justifying massive valuations and investment.

The economic incentive for VCs funding AI is replacing human labor, a $13 trillion market in the US alone. This dwarfs the $300 billion SaaS market, revealing the ultimate goal is automating knowledge work, not just building software.

Projections of AI reaching trillion-dollar revenues based on a "billion knowledge workers" are flawed. A more realistic model is to take the US software budget as 50% of the world's total, as the rest of the world cannot afford the same software per capita. This grounds market sizing in actual spending power, not population.

Despite the hype around enterprise AI, the vast majority of current inference workloads are driven by new, AI-native application companies. This indicates that the broader enterprise adoption market is still in its infancy, representing a massive future growth opportunity.

AI platforms like Anthropic and OpenAI are seeing unprecedented revenue growth because they're augmenting and competing with human labor costs. This is a far larger market than traditional IT budgets, enabling multi-billion dollar revenue months.

The narrative of a zero-sum battle between AI giants is misleading because the market is in its infancy. With less than 3% penetration, there is enormous room for growth for all players. New model releases currently lift the entire ecosystem rather than stealing market share from competitors.