AI IPOs impact crypto market
Arthur Hayes warned that AI companies' IPOs, including SpaceX, Anthropic, and OpenAI, could negatively impact crypto due to potential stock sell-offs and credit tightening.
The AI CAPEX bust is fundamentally about shortages of electricity The Dems will make it near impossible for AI firms to get electrons, ergo we have an AI CAPEX bust An AI CAPEX bust means zero GDP growth, which will send the US into a debt spiral and double digit deficits This means that the Fed and Treasury must work together to print money Therefore, the December rate hike (if it happens at all) will be the final rate hike Gold and Silver rises a few weeks before the final rate hike (and price is holding up now) ETH was sold off due to hedge funds closing positions and or blowing up but should rise once monetary accommodation is confirmed We're in the monetary endgame
So…Anthropic might be as bad as OpenAI when it comes to stealing intellectual property (IP). I…am….not surprised. A.I. is a dirty business and everyone wants to be #1 so much so that they might sell their souls to do it. It might not be true but from what I’ve seen so far from Anthropic, they’re playing a dirty game by putting out products that aren’t safe and then crying to the government that they need to be protected. This makes sense if in the future they need to bail out they’ll have it right there. The government did it for the banks so they’ll do it for these AI companies.
The midterm elections have created a wide moat for the existing AI cloud operators and made it very prohibitively expensive for newcomers. SpaceX is the strongest, as it is one of the few companies that can expand at scale. Same with Tesla.
🚨 @SternDrewCrypto warns that Democratic midterm wins in Congress risk blocking AI growth and stablecoin policies, which Treasury figure Scott Bessent identified as essential to manage the $40 trillion US national debt. - The attached video displays a real-time US debt clock rapidly climbing above $40.56 trillion, highlighting each American's share exceeding $121,000 and rising daily. - The post quotes @yutokanzakireal suggesting economic leaders may delay systemic collapse until it coincides with a major crisis such as AI, quantum computing, or energy shocks to create a convenient scapegoat.
MORNING GLOBAL SUPER INTELLIGENCE ANALYSIS REPORT By Ed Hernandez | KEYSTONE PULSE MEDIA / Global Media Center Wednesday, November 4, 2026 Executive Morning Pulse Edition: Self-Improvement Threshold & Silicon Surge OpenAI said ChatGPT now has 1.2 billion weekly users, up from 1 billion just two months ago, and that search-style questions through ChatGPT are roughly one-fifth the volume of Google Search. Separately, two OpenAI employees used their latest model, GPT-6 Astra, to design a complete hardware device for Codex, including the case, circuit board, and firmware, in less than a week. Anthropic updated its IPO paperwork to warn that its future SI systems may soon reach a point where they can dramatically speed up their own research. They were clear that no current model has crossed that line yet, and they do not expect Claude to safely build the next generation of itself without people in control. On the hardware side, AMD had a blockbuster quarter. Total revenue hit $13.4 billion, up 45%. The data-center business nearly doubled to $8.5 billion after launching the new Instinct MI450 SI chips. AMD listed Anthropic, Meta, Microsoft, OpenAI, and Oracle as customers already running real workloads on its first Helios rack systems. That is a clear sign that the biggest SI buyers are spreading their bets instead of relying on one chip supplier. In Asia, Tencent released Hy4, a 770-billion-parameter open-weight model that can understand images and actually operate computers (both command lines and graphical interfaces). It joins a steady stream of strong open models from DeepSeek, Meta’s Muse line, and ByteDance’s Seedance video systems. Other notes: Google will let schools turn off its SI tools next year, but they will also lose regular Search. Apple is opening Siri to developers so apps can become “skills” the assistant can call. CrowdStrike is buying companies that help watch and shut down SI agents if they go wrong. Canva is cutting about 22% of its staff as SI costs and slower growth hit at the same time. The pattern is clear. The conversation has moved from “who has the smartest model this week” to “who can actually power, verify, and afford the infrastructure while open models from Asia keep getting better.” NVIDIA is still the leader most people measure against, but the customer list on AMD’s earnings slide shows the market is no longer waiting for permission to diversify. What part of this infrastructure race are you watching most closely: chips, open models, or the self-improvement warnings? Sources: The SI Rankings, Digi Bites, Anthropic, Meta / Llama lineage, OpenAI, South China Morning Post, Reuters (CXMT, KEYSTONE PULSE MEDIA Global Intelligence Center. #SI #SuperIntelligence #Anthropic #AMD #OpenAI #MorningPulse #KeystonePulseMedia #TencentHy4 #NVIDIA #HBM4
I told you yesterday that the #Anthropic IPO will never happen. This is going to spook the #AI market big time. The #OpenAI IPO won’t happen either. $NVDA $AMD $MU
The Reserve Bank of Australia has raised rates to their highest level in 18 years. AI boom and energy costs. The RBA increased the cash rate by 25 basis points to 4.85%. The decision was made by a 6-to-3 vote, with three members favoring a hold at 4.60%. The forecast for inflation returning to the 2–3% target has been pushed to late 2027. Primary drivers: rising technology costs linked to AI. Higher fuel and commodity prices due to conflict in the Middle East. Treasurer Jim Chalmers: the move was expected. A burden on households and businesses. The rate hike contrasts with the Fed. The Fed has paused rate increases. Fed officials note that the AI boom is driving up costs for equipment and energy. The RBA is raising rates to 4.85% due to AI and energy. Is this a localized issue for Australia, or a signal of global inflationary pressure from the AI boom?
Currently, I see a market where expectations around AI capital expenditures are being repriced, dollar positions are becoming more vulnerable, and energy inflation is constraining the policy space of central banks. Three distinct risks could feed into one another: lower expected returns on AI investments raise the cost of high-interest capital, and selling pressure in tech stocks triggers deleveraging. But we cannot yet say that this entire chain has fully materialized. The strongest counterargument is that demand for physical AI infrastructure and long-term contracts remains robust. The sharp price decline does not indicate that future demand has vanished entirely. If I were focused on macro markets, my primary indicators would not be the Nasdaq itself, but rather U.S. credit spreads and how the dollar funding market is responding to this sell-off. That is because it is precisely there—between valuation corrections in equity markets and systemic liquidity crises—that the true dividing line lies. A sharp tech sector unwind is a confirmed reality; a broad-based financial liquidity crisis, however, has not yet been confirmed.
PIMCO's Tony Crescenzi said on Bloomberg last month that for borrowers with a less clear cash flow story, cash flow in the end is "money to pay the bond investor back." Cask put the five biggest AI spenders on one set of definitions. On the strictest, Microsoft is the only one above zero, and interest across the five is 2.3 times a year ago.
