Artificial Intelligence

Anthropic’s S-1 filing has drawn attention for combining red-hot growth with steep losses and very large computing costs. Coverage notes the prospectus still carries warnings about existential risk to humanity, echoing the company’s long-running public position on advanced AI development. Analysts are weighing whether a company with this growth profile and cost structure can support the valuation the market has been willing to pay for frontier model developers.

Elon Musk said on October 20 that Tesla and SpaceX have each formed special committees to weigh a potential merger, with independent directors evaluating the combination. Musk described the outcome as not a certainty. The discussion follows SpaceX’s first-ever quarterly profit, with revenue up 161 percent as its AI-related business scaled and capital spending coming in below expectations. Press reports put the potential combined value in the range of 3.5 trillion dollars. Tesla shares slid while SpaceX stock surged after the disclosure.

Super Micro Computer disclosed preliminary results showing it sold roughly 4 billion dollars more than expected last quarter, and guided first-quarter fiscal 2027 net sales to 18.5 to 19.5 billion dollars against a consensus near 15 billion. Adjusted gross margin is expected at 12 to 12.5 percent, above the prior 14.5 to 15.5 billion revenue outlook. Shares jumped about 12 percent, with Dell and Hewlett Packard Enterprise following the rally. The update underlines how sharply AI platform demand is running ahead of supply-side planning.

Copper is up 15.8% year to date and more than 30% over the past 12 months, while gold futures are down 4.11% and 4.52% respectively over the same periods. Investors attribute the shift to AI, grid and defence demand, tight supply and US tariff-driven stockpiling.

The artificial-intelligence-driven data centre investment boom is showing its first clear signs of cooling. HSBC chief executive Georges Elhedery said AI is a transformative technology worth investing in, but that investors must be selective in the infrastructure underpinning it, focusing on the quality of tenancy agreements and contract pricing rather than assuming every project is sound. At the same time, South Korean data centre builder Elice fell about 30% on its trading debut, a signal that investors are repricing the sustainability of the compute build-out.

The US Department of Homeland Security on October 19, 2026 published an administrative order requiring federal civilian agencies to remove DeepSeek-related technology from their information systems and prohibiting procurement of the company’s products and services. The order was first issued on July 24, 2026 and covers agencies including the Treasury, State and Justice departments, while explicitly excluding the Department of Defense. China’s Foreign Ministry said it would safeguard the rights and interests of Chinese companies and opposed politicising technology and trade issues.

CoreWeave’s corporate bonds have come under heavy selling pressure as credit default swap spreads climbed to distressed levels, raising systemic concerns over the financing model behind the AI buildout. The episode exposes Wall Street’s growing disagreement over how to value highly leveraged AI infrastructure providers and signals a sharper contest between bubble bears and super-cycle bulls.

Federal Reserve Chair Kevin Warsh said on October 16 that artificial intelligence is delivering a structural shock to the US economy, offering both the prospect of a productivity jump and the risk of new uncertainty for inflation and the labor market. He pledged to use monetary policy tools to contain inflation and signaled that future rate decisions will pay closer attention to how AI transmits through prices and the labor market.

China’s September exports surged on AI-driven demand, with mechanical and high-tech products as main contributors, reflecting sustained Chinese manufacturing competitiveness amid tech supply chain restructuring.

Anthropic’s Oct 14 safety report warns mainstream AI models can be modified for extremist activity, with smart appliances facing new attack vectors; industry calls for cross-vendor misuse monitoring.