OpenAI’s Q1 2026: $5.7 billion revenue (3x YoY). $3.7 billion cash burn (3x YoY). For every dollar earned, $1.65 spent. The ratio didn’t improve.
$1.65
Spent for every $1 earned
With $73 billion in cash, OpenAI has ~5 years of runway. The IPO pressure eases β but the unit economics question remains: can inference revenue grow faster than compute costs?
$5.7B revenue (3x YoY) but $3.7B cash burn (also 3x YoY). Ratio didn’t improve
$73B cash on hand = ~5 years runway. IPO pressure eased but economics unproven
Microsoft exploring DeepSeek as cheaper model. The cost pressure is industry-wide
The Dynamo Doctrine’s factory multiple: AI factories are fab-like, not SaaS-like. Negative margins during buildout phase β same arc as electrification.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
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