Sou Hu Cai Jing·2026-03-08 08:04Core Insights - Nvidia's recent $30 billion investment in OpenAI is likely its last, with CEO Jensen Huang stating that the previously mentioned $100 billion investment is "unlikely" to materialize [1] - OpenAI's head of robotics and consumer hardware, Karlinowski, resigned, citing insufficient discussions before deploying AI models to the U.S. Department of Defense's secure network [1] Financial Performance - Nvidia reported record revenue of $68.1 billion for Q4 of fiscal year 2026, a 73% year-over-year increase, with a GAAP net profit of $42.96 billion, up 94% [3] - For the entire fiscal year 2026, Nvidia's revenue reached $215.9 billion, also a 65% increase, with a GAAP net profit of $120.07 billion [3] - The data center revenue for Q4 was $62.3 billion, a 75% increase year-over-year, marking a historical high [6] Market Reactions - Nvidia's stock rose by 1.44% on the day of the earnings report, briefly exceeding a 2% increase before narrowing [5][12] - The earnings report is viewed as a barometer for AI demand, with analysts noting that Nvidia's performance exceeded market expectations [6] Business Segments - Nvidia's data center revenue for fiscal year 2026 was $193.7 billion, a 68% increase, while gaming revenue was $16 billion, up 41% [7] - The professional visualization segment saw revenue of $3.2 billion, a 70% increase, and automotive and robotics revenue reached $2.3 billion, up 39% [7] Industry Trends - There is a growing concern about an AI bubble, with significant capital expenditures from tech giants like Google, Microsoft, Meta, and Amazon projected to reach nearly $700 billion this year [10] - A recent Bank of America survey indicated that 23% of fund managers view the threat from an AI bubble as their primary concern, up from 9% in December [10] Future Outlook - Nvidia's CFO expressed confidence in continued demand for AI infrastructure, noting that the company's data center revenue has increased nearly 13 times since the launch of ChatGPT [7] - Huang mentioned that the demand for AI computing is at a turning point, with significant growth expected in the coming years [11]