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.

Companies like Sierra can't justify a 100x ARR valuation by targeting the existing software market (e.g., $8B Service Cloud). The bet is that they will capture a significant portion of the much larger human labor market ($200B+ for support agents). This represents a fundamental transition of spend from human capital to software.

Sequoia Capital highlights that the next trillion-dollar companies will sell automated services ("autopilots"), not just software tools ("copilots"). They are pursuing the massive total addressable market of human labor, which is ten times larger than the entire software market.

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.

Airtable CEO Howie Lu dismisses the $1 trillion TAM estimate for AI agents. He argues the true market is the entire GDP of white-collar labor, amounting to tens of trillions of dollars. This reframes the opportunity from a large new market to a complete replacement of an existing economic structure.

Anthropic's and OpenAI's massive revenue forecasts ($300B+ combined) aren't about displacing existing software spend. The core bet is that AI will capture a large portion of the trillion-dollar consulting and services budget, dramatically expanding the total addressable market for technology.

Anthropic is expected to claim a $30 trillion Total Addressable Market (TAM) for its IPO. This isn't just an inflated number; it's a strategic narrative positioning AI as capable of absorbing all human economic activity. The key insight is that the financial markets, once skeptical, no longer flinch at this world-eating argument, signaling a major shift in investor perception.

While simulation can disrupt the $100B market research industry, its true total addressable market (TAM) is far larger. The ultimate goal is to inform every decision made by humans, for humans, making the potential value proposition nearly boundless.

Elad Gil argues that the total addressable market for AI companies is not limited to traditional seat-based software pricing. Instead, it encompasses the multi-trillion dollar human labor market that AI can augment or automate.