The massive CapEx from companies like Alphabet and Amazon isn't just to compete in the existing software market. The scale of investment only makes sense when viewed as an attempt to capture a significant portion of the $6 trillion U.S. white-collar labor market through automation.

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.

For AI companies experiencing explosive growth like Harvey (tripling ARR in a year), traditional TAM analysis is an obstacle, not a tool. Such growth signals the company is capturing a new budget pool (e.g., labor costs) that dwarfs the existing software market. In these cases, the revenue trajectory itself becomes the best indicator of the true TAM.

Unlike traditional B2B markets where only ~5% of customers are buying at any time, the AI boom has pushed nearly 100% of companies to seek solutions at once. This temporary gold rush warps perception of market size, creating a risk of over-investment similar to the COVID-era software bubble.

The true market opportunity for AI is not merely replacing existing software but automating human labor. This reframes the total addressable market (TAM) from the ~$400 billion global software industry to the $13 trillion US-only labor market, representing a thirty-fold increase in potential value.

The AI industry's exponential growth in consuming compute, electricity, and talent is unsustainable. By 2032, it will have absorbed most available slack from other industries. Further progress will require potentially un-fundable trillion-dollar training runs, creating a critical period for AGI development.

The initial explosion in AI spending was largely additive, not a replacement for existing budgets. Going forward, this will change. Companies will start substituting AI spend for traditional SaaS licenses and human capital as they rationalize operating expenses and seek higher ROI.

The value generated by 30 million developers worldwide is estimated at $3 trillion. AI tools that augment or disrupt this work are tapping into a market equivalent to the GDP of a major economy, making it the first truly massive market for AI.

Unlike traditional software that supports workflows, AI can execute them. This shifts the value proposition from optimizing IT budgets to replacing entire labor functions, massively expanding the total addressable market for software companies.