Post #6531

📈The Wall Street Journal accessed private financial documents for OpenAI and Anthropic ahead of their public debut. OpenAI is projected to burn $665 billion in cash before turning a profit by 2030, potentially losing $170 billion in a single year. Valued at $852 billion, the company is structurally designed for unprecedented losses. Model training costs alone will reach $440 billion by decade's end, with costs rising as AI becomes smarter. Anthropic faces similar trends, with training costs exceeding $100 billion before 2030 and a delayed break-even date. Crucially, OpenAI's gross margins dropped from 40% to 33% in one year. Unlike normal software companies (75–80% margins), AI infrastructure operates like a utility. Despite this, revenue is explosive: OpenAI hit $13.1 billion in 2025 and projects $62 billion by 2027; Anthropic projects $55 billion next year. However, costs currently outpace revenue. Both companies plan IPOs before late 2026 to fund the gap. The strategy hinges on a 2030 assumption: collapsing inference costs and flipped margins. Who is likely to win this race? @aipost🏴