AI News on September 24th
1. NVIDIA Announces $100 Billion Investment in OpenAI Partnership
#NVIDIA #OpenAI #Investment
NVIDIA CEO Jensen Huang and OpenAI CEO Sam Altman have finalized a $100 billion partnership after intensive negotiations. The agreement involves NVIDIA making incremental investments of $10 billion each, while supplying advanced processors for OpenAI's expanding data center infrastructure. The deal was finalized with minimal advance notice to Microsoft, OpenAI's major shareholder and cloud provider.
2. OpenAI, Oracle and SoftBank Announce Five New "Stargate" Data Centers
#OpenAI #Stargate #DataCenters
OpenAI, Oracle, and SoftBank will build five new AI data centers across the United States as part of the "Stargate" project, now valued at $400-500 billion. Three centers will be developed with Oracle in Texas, New Mexico, and the Midwest, while two with SoftBank in Ohio and Texas. These facilities aim to achieve 7 GW of computing capacity, eventually targeting 10 GW, with each GW costing approximately $50 billion to develop.
3. Musk Claims xAI Will Lead in Scaling to Terawatt Computing
#Musk #xAI #ComputingScale
Elon Musk responded to OpenAI's 10 GW data center plans by asserting that xAI will be first to achieve not just 10 GW but 100 GW and eventually 1 terawatt of coherent training compute capacity. Musk's statement came after an X user questioned whether xAI was falling behind in the AI infrastructure race, to which he confidently outlined xAI's scaling roadmap.
4. US Stock Market Declines Amid AI Sustainability Concerns
#StockMarket #AICorrection #Investors
Major US indices declined with Nasdaq dropping 0.95% as investors questioned AI sustainability. NVIDIA fell 2.8% and Oracle dropped 4.4% despite recent AI announcements. Analysts expressed concerns about OpenAI's dependency on NVIDIA as "lender of last resort" and whether AI companies have sufficient energy resources for expansion plans.
5. Micron Technology Reports 46% Revenue Growth Driven by AI Demand
#Micron #AIChips #Earnings
Micron Technology reported Q4 revenue of $113.2 billion, a 46% year-over-year increase, exceeding expectations. The company credited strong AI-driven demand and noted DRAM supply constraints. Micron projected Q1 2026 revenue between $122-128 billion with adjusted gross margins of 50.5-52.5%, highlighting continued AI-related growth.
6. Sam Altman Declares AI Access Will Become "Economic Fundamental"
#Altman #AIEconomy #Vision
OpenAI CEO Sam Altman published "Abundant Intelligence," arguing that AI access will become an economic fundamental driver and potentially a basic human right. He envisioned factories capable of producing 1 GW of AI infrastructure weekly and promised to reveal financing plans for OpenAI's ambitious expansion later this year.
7. EU Proposes Strict AI Liability Framework for High-Risk Applications
#EULiability #AIRegulation #Policy
The European Union has proposed a comprehensive AI liability directive establishing clear accountability mechanisms for damages caused by high-risk AI systems. The framework requires detailed audit trails and imposes strict liability standards, setting global precedents for corporate responsibility in AI deployment.
8. UK Establishes AI Safety Certification Mandate for Critical Infrastructure
#UK #AISafety #Certification
The UK's AI Safety Institute released mandatory certification requirements for AI systems used in critical national infrastructure. The framework includes rigorous testing for model alignment, robustness, and safety protocols, with the government seeking international recognition from allied nations.
9. Germany Commits €10 Billion to Domestic AI Chip Production
#Germany #AIChips #Sovereignty
Germany announced a €10 billion investment in domestic AI chip manufacturing facilities to reduce foreign semiconductor dependence. The initiative includes new fabrication plants and research centers focused on developing next-generation processors optimized for European industrial applications.
10. Bain Report Highlights $800 Billion Annual AI Funding Gap by 2030
#Bain #AIFunding #Forecast
Bain & Company's latest tech report projects that meeting 2030 AI computing demands will require $2 trillion in annual revenue, leaving an $800 billion funding gap even after accounting for AI-related cost efficiencies. The report estimates the US will account for half of the global 200 GW additional AI power demand.