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A simple but worrying indicator for AGI is AI company revenue. If Anthropic's revenue growth continues its current exponential trend for just two more years, it would reach a level ($10 trillion) plausibly associated with having developed AGI, highlighting the speed of progress.
Brad Gerstner argues that Anthropic, the 'fastest growing company in the history of capitalism,' was the critical data point that buoyed the entire AI market narrative when OpenAI and Google's numbers were merely 'good,' not exceptional.
Anthropic's annualized revenue run rate has surged to $30 billion, a 3x increase since late 2023, potentially surpassing OpenAI. This unprecedented growth, annualized at 9700%, is driven by enterprise customers, with those spending over $1M annually doubling in just two months, signaling a major shift in the AI market.
Anthropic's growth to a $30 billion annualized run rate in just over a year is unprecedented. It added $11 billion in run rate in March 2025 alone—the equivalent of Databricks and Palantir combined. This signals that enterprise demand for intelligence has a near-infinite Total Addressable Market (TAM).
Anthropic CEO Dario Amadei's two-year AGI timeline, far shorter than DeepMind's five-year estimate, is rooted in his prediction that AI will automate most software engineering within 12 months. This "code AGI" is seen as the inflection point for a recursive feedback loop where AI rapidly improves itself.
The explosive, profitable revenue growth of major AI labs like Anthropic invalidates the theory that AI is a niche toy. This growth is happening despite rising hardware costs, demonstrating that businesses are deriving massive, tangible value from AI and are willing to pay a premium for it.
Anthropic's $6 billion revenue in a single month surpasses the annual revenue of established enterprise software giants like Snowflake and Databricks. This highlights an unprecedented velocity of growth in the AI sector, resetting the benchmark from the old "triple, triple, double, double" to a new "10x, 10x" standard.
Anthropic is set to post its first operating profit amid massive revenue growth, directly challenging widespread skepticism that large language models are unsustainable money pits. This milestone suggests the AI industry is moving from a phase of pure R&D and cash burn to one of demonstrated economic value and profitability.
Anthropic's 10x year-over-year revenue growth for three consecutive years is a feat unmatched even by early Microsoft or Google, causing Wall Street to bet on a "singularity" event. This momentum trade rationalizes otherwise astronomical valuations.
Despite AI's limited adoption (<5%) in the broader economy, leading model companies are already adding more monthly revenue than established giants like Meta, Google, or Microsoft. This signals that the ultimate market size for AI will be extraordinarily large, potentially consuming 10% of Fortune 500 profits.
Investors in the AI space are less concerned with current revenue figures and more focused on the trajectory. A 'super-linear' (exponential) growth curve, like Anthropic's, is viewed more favorably than a larger but linear growth pattern. This indicates that future potential and market capture velocity are the key valuation metrics.