The Numbers
Anthropic is at $30 billion annualized run-rate revenue. OpenAI sits at $24 billion ($2B monthly, confirmed). A year ago, the gap looked insurmountable: Anthropic was at roughly $1 billion ARR, OpenAI at $6 billion.
That gap closed in April 2026.
Anthropic got there without a viral consumer app. No 900 million weekly users. Instead: enterprise API contracts, developer adoption, and Claude Code. The company most sales professionals could not name two years ago now generates more run-rate revenue than the one that invented consumer AI.
What This Means for Sales Teams
Enterprise is the engine for both companies. OpenAI says enterprise now makes up over 40% of revenue, up from 30% last year. Anthropic was enterprise-first from day one: eight of the Fortune 10 are Claude customers, with 500+ companies spending over $1 million annually.
The convergence matters. Consumer virality gets you big user numbers fast. Enterprise contracts get you durable, high-ACV revenue that compounds. Both companies are proving the B2B motion is where the money actually is.
The Coding Tool Factor
Claude Code launched publicly in May 2025. By February 2026, it hit $2.5 billion annualized run-rate. A product that did not exist 11 months ago now generates more revenue than most public SaaS companies ever will. It now authors 4% of all public GitHub commits, with projections of 20%+ by year-end.
OpenAI is seeing similar traction with Codex: two million weekly users, up 5x in three months, growing 70% month over month.
For sales teams evaluating AI tools: the coding category went from zero to multi-billion dollar market in under a year. That is not a feature release. That is a new layer of the software stack.
The Profitability Reality
Neither company is profitable. OpenAI is burning approximately $17 billion this year, projecting a $14 billion loss for 2026. Free cash flow is not expected until 2029. Anthropic has raised over $18 billion in funding. The $30 billion run-rate is real, but so is the cost structure.
Investors are making a specific bet: compute costs fall per unit of intelligence, revenue compounds faster than burn, and whoever owns the AI infrastructure layer captures enormous enterprise spend.
For sales professionals: the AI tools you are evaluating today are backed by companies burning billions while scaling revenue at unprecedented rates. That creates opportunity (rapid product development, aggressive pricing to gain market share) and risk (vendor stability, pricing changes as burn rates compress).
ANZ Context
No specific ANZ presence, headcount, or sales leadership details are public for either company. Enterprise traction is global, with cloud provider partnerships (Google Cloud, AWS) driving distribution. Worth tracking: as these companies scale enterprise sales, expect ANZ hiring to follow deal flow.