OpenAI: reportedly losing $12 billion a quarter. 🥵

Also OpenAI: reportedly going public at a $1 trillion market cap. 🤑

The math aint mathin, right? 

Or is it?

Join Everyday AI for our Hot Take Tuesday breaking down OpenAI's new structure, its new deal with Microsoft, and whether they're likely to keep losing money or be Wall Street's next darling. 

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Topics Covered in This Episode:

1. OpenAI's $1.4 Trillion AI Infrastructure Bet
2. Transition to Public Benefit Corporation
3. OpenAI's $1 Trillion IPO Valuation Plans
4. Microsoft Stake and Cloud Partnerships Breakdown
5. OpenAI’s $12 Billion Quarterly Loss Explanation
6. User Growth: 800 Million Weekly Active Users
7. AGI Race: OpenAI vs Google Analysis
8. Enterprise Adoption and Market Dominance Strategy
9. Sora Launch, Social Features, and Agent Builder
10. OpenAI’s Revenue Projections and Profit Timeline

Timestamps:
00:00 "OpenAI: Profit vs Market Dominance"

03:58 OpenAI's Evolution and Expansion

07:10 Race to AGI Leadership

10:31 OpenAI's Valuation and Microsoft Stake

14:07 OpenAI's Strategy: Consumers First

19:50 OpenAI's Profitability Under Scrutiny

22:39 Satya Nadella: Microsoft’s AI Vision

25:02 OpenAI Ads: Future Rival Giants

28:49 AI Advancements and Market Outlook

33:55 OpenAI Monetization with GPT Advances

38:31 OpenAI's Enterprise Growth Potential

39:36 OpenAI's Shift: Mission to Monopoly

43:28 "AGI: Revolutionizing Work and Life"

46:34 "OpenAI's Trillion-Dollar Future"

Keywords:
OpenAI, OpenAI IPO, trillion dollar valuation, AGI, artificial general intelligence, $1.4 trillion AI infrastructure, nonprofit to public benefit corporation, OpenAI recapitalization, Microsoft partnership, SoftBank funding, enterprise adoption, ChatGPT, 800 million weekly active users, Sora app, AI social network, adult mode, hardware initiatives, cloud provider, Azure contract, CoreWeave partnership, Oracle cloud, AWS contract, Anthropic competitor, Google Gemini, model pricing, SaaS margins, agent builder, enterprise market share, retrieval augmented generation, internal company knowledge, business productivity, future revenue potential, circular funding, vendor financing, compute costs, GPT model, model velocity, code generation, AI agent automation, advertising platform, 

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