A new five-level scale ranks AI labs by commercial ambitions, placing OpenAI and Anthropic at the most profitable Level 5, while Thinking Machines Lab experiences executive exodus amid internal disputes over company direction and newer startups like Humans& and World Labs occupy middle tiers with varying market clarity.
Leading AI models achieve only 24% accuracy on real white-collar tasks in new benchmark testing, with Gemini 3 Flash and GPT-5.2 struggling most when tracking information across multiple workplace tools like Slack and Google Drive in consulting, banking, and legal scenarios.
OpenEvidence, the AI medical platform dubbed 'ChatGPT for doctors,' raises $250 million in funding that doubles its valuation to $12 billion as the Miami-based startup now serves 40% of US physicians and generates over $100 million annually through advertising revenue.
Verata launches relationship intelligence platform mapping 30+ million professional connections to help private equity firms leverage warm introductions for deal sourcing, already attracting 3 of the top 10 mega funds.
Indian AI startup Emergent rockets to $300 million valuation after raising $70 million from SoftBank and Khosla Ventures, tripling its worth in just four months as its no-code platform reaches $50 million in annual revenue serving 5 million users worldwide.
Elon Musk demands up to $134 billion from OpenAI and Microsoft, claiming the AI company defrauded him by abandoning its nonprofit mission after he provided $38 million in seed funding and early technical expertise, while OpenAI dismisses the lawsuit as harassment ahead of April's trial.
Sequoia Capital abandons its own investment principles by joining Anthropic's massive $25 billion funding round at a $350 billion valuation, despite already backing AI rivals OpenAI and xAI, marking a dramatic shift from the firm's previous stance of avoiding competing portfolio companies.
AI wrapper companies face imminent collapse by 2026 as big tech platforms absorb their features, while the $600 billion global infrastructure investment remains protected and foundation models consolidate into just 2-3 dominant players.
Oracle teeters on junk bond status after borrowing heavily for $50 billion AI infrastructure spending to serve unprofitable OpenAI, while CoreWeave drowns in $15 billion debt and multiple AI companies trade at extreme valuations despite minimal revenue, signaling dangerous cracks in the tech sector's AI spending bubble.
HSBC analysts predict OpenAI will burn through $207 billion and remain unprofitable until 2030 despite reaching 44% of global adults, as the AI giant faces staggering $1.4 trillion compute costs and $620 billion data-center expenses that dwarf projected $213 billion revenues.