MORNING GLOBAL SUPER INTELLIGENCE (SI) ANALYSIS REPORT By Ed Hernandez | KEYSTONE PULSE MEDIA / Global Media Center Sunday, November 8, 2026 Executive Morning Pulse Edition: Recursive Acceleration Meets the Power & Memory Wall The biggest story overnight and this morning is that Super Intelligence is getting better at making itself better, while the real-world things it needs. Electricity, memory chips, and factories, are struggling to keep up. At the same time, Anthropic agreed to spend $3.4 billion on gas-fired generators that can supply 1.7 gigawatts of power for its data centers. That is the largest known single purchase of power equipment by any SI lab. The company has also committed nearly $900 billion in total computing commitments. OpenAI, the company behind ChatGPT, closed the first $11 billion of a new funding round that values the business at $1.25 trillion. That is still enormous, but it is lower than the $1.4 trillion and $30 billion raise it originally targeted after markets cooled on SI spending. On the model side, DeepSeek’s 284-billion-parameter system can now run on an ordinary computer with 64 gigabytes of regular RAM and no graphics card, thanks to clever software optimizations. ByteDance’s Seedance 2.5 video model continues to produce longer clips (up to 30 seconds) with sound and the ability to follow multiple reference images and videos. Meta’s Muse agents have added real-time voice and avatar calls. The silicon side is where the pressure is most visible. Nvidia still supplies the majority of the world’s SI computing power. It has been asking memory makers to use TSMC’s most advanced processes for parts of its custom high-bandwidth memory and has been linked to reports that TSMC itself is studying how to make advanced 3D DRAM. TSMC has said it remains focused on logic chips, but the fact that the discussion is happening shows how tight memory supply has become. High-bandwidth memory from the leading South Korean and U.S. makers is effectively sold out for years. AMD continues to grow strongly in data-center chips and has a large partnership with Anthropic. Intel, Qualcomm, MediaTek, Samsung, Apple, and others remain active, but the bottlenecks right now are power plants, advanced memory stacks, and packaging capacity. That is the morning pulse. The race is no longer only about who has the smartest model. It is about who can actually power, cool, and feed that model with enough memory and silicon. What do you think will slow the industry down first: electricity, memory chips, or the money required to build both? Sources: Financial Times, Bloomberg, METR, The Verge, Reuters, Generation Impact Global News, and KEYSTONE PULSE MEDIA Global Intelligence Center. #SuperIntelligence #AIAcceleration #Anthropic #NVIDIA #TSMC #HBM #DeepSeek #KeystonePulseMedia #EnterpriseAI #AIStrategy #Procurement #OpenSource