World Information Services Unlimited
Daily AI & Technology News Edition No. 32
Monday, October 26, 2026
Lead story: Anthropic files for its IPO — with a 93-page warning about AI’s risks
Anthropic filed for an initial public offering on Monday, setting the stage for the maker of the Claude chatbot to begin trading on the Nasdaq under the ticker ANT as soon as the week of November 16. The filing did not disclose how many shares Anthropic intends to sell or at what price, but it could rank among the largest stock market debuts in history.
What makes this filing stand out is how plainly it states the stakes. Anthropic’s filing lays out four major categories of AI risk — misuse, such as bioweapons or cyberattacks; loss of human control; authoritarian abuse, such as surveillance states; and economic disruption — and includes 93 pages of risk factors, including “catastrophic or existential risks to humanity.” The company warns that if its models cause extreme harm, its liability could exceed what its insurance can cover.
The numbers behind the filing are just as striking. Anthropic’s revenue grew 1,300% year-on-year in the first six months of 2026 to $16.3 billion, while the company reported a net loss of over $80 billion, driven by the steep cost of the computing infrastructure behind its AI advances. The IPO will test Wall Street’s appetite for AI at a moment when the public, policymakers, and the industry’s own technologists are all asking whether the buildout should slow down.
Source: CNN — https://www.cnn.com/2026/10/26/tech/anthropic-files-ipo
Meta plans up to $95 billion in stock offerings to fund its AI buildout
Meta Platforms unveiled a plan on Monday to raise up to $95 billion in waves of stock offerings to fund its massive AI infrastructure investments. About $35 billion would come through public offerings — $22.5 billion of Class A common stock and $12.5 billion of depositary shares representing mandatory convertible preferred stock — with a further at-the-market program of up to $60 billion potentially beginning in the first quarter of 2027, selling shares of a new nonvoting “Class C” stock over time.
Meta said it plans to fund its AI investments through a mix of operating cash flow, investment-grade debt, strategic partnerships, and equity capital, and that Nvidia, Advanced Micro Devices, and Broadcom have indicated interest in purchasing up to $5 billion worth of common stock in the offering. The plan lands after investors grew anxious over how Meta and its peers will pay for the AI race, and Meta expects capital expenditures of $135 billion to $145 billion this year.
Source: The Wall Street Journal — https://www.wsj.com/tech/ai/meta-plans-35-billion-stock-offering-to-power-ai-buildout-eyes-95-billion-total-plan-10b8947e
Musk says SpaceX closed $40 billion in GPU debt — and warns most “neoclouds” won’t survive
Elon Musk said on X on Sunday that SpaceX has closed $40 billion in debt financing to buy graphics processing units for its AI data centers, with deliveries expected in the first and second quarters of 2027. Musk credited SpaceX’s investment-grade credit rating and its revenue from Starlink and space launches for getting the deal done, and said he expects most of the debt to be repaid early.
In the same post, Musk warned that debt markets have “almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers,” and predicted that “200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.” Neoclouds rent specialized GPU computing capacity to AI developers, often funded with borrowed money — and Musk added that SpaceX is not buying any neoclouds: “Pointless.”
Source: SiliconANGLE — https://siliconangle.com/2026/10/25/elon-musk-predicts-neocloud-shakeout-as-credit-for-ai-infrastructure-dries-up/
OpenAI is winning big coding customers from Anthropic — with steep discounts, not just benchmarks
OpenAI is pulling major enterprise customers away from Anthropic through aggressive discounts, The Information reported. Replit shifted AI spending to OpenAI after receiving more than 30% off a contract worth over $100 million a year, and at Rippling, OpenAI’s share of coding work rose from 16% in May to 52%, while Anthropic’s share fell from 57% to 18%.
DataCamp’s chief executive said OpenAI’s pricing cut his company’s costs by 80% to 90%, and a U.S. bank with over $7 billion in assets doubled its ChatGPT allocation to 500 employees at no extra charge, paying under $7 per user rather than the standard $20 or more. The report notes OpenAI is partly buying market share at the expense of its margins, even as efficiency gains from its newer model lines help — and both labs face cheaper competing models from China’s DeepSeek and Kimi.
Source: SiliconReport (reporting on The Information) — https://www.siliconreport.com/openai-reportedly-pulls-major-customers-from-anthropic-with-discounts
Apollo economist: AI has delivered “zero financial payoff” outside Big Tech — so far
AI hasn’t benefited the bottom line of big corporations outside the tech industry, according to a note from Apollo Global Management chief economist Torsten Slok. Slok focuses on what he calls the “S&P 493” — the S&P 500 minus Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla — finding that profit margins and revenue per worker appear flat, with no evidence yet that AI is improving productivity.
“Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech,” Slok wrote. He argues it will be tough for corporate America to “turn increasingly cheap intelligence into higher revenue growth and higher profit margins,” adding: “AI may be a great calculator, but in business, intelligence is mostly judgment.” Slok’s argument is one economist’s reading of aggregate data, not a company-by-company audit — but it lands as investors scrutinize exactly when the AI spending boom pays off.
Source: TechCrunch — https://techcrunch.com/2026/10/25/ai-delivers-zero-financial-payoff-to-most-companies-according-to-apollo-economist/
Elvis Presley’s estate sues Anthropic over 274 songs used to train AI
The owners of Elvis Presley’s music have sued Anthropic for $41 million, claiming the AI company trained its models on 274 Elvis songs without permission, The New York Times reported. Stakeholders in the catalog include Authentic Brands Group, Raleigh Music Publishing, multiple trusts, and at least one individual, and they accuse Anthropic of bypassing DRM protections and removing or altering copyright management information from 247 songs — including hits like “Don’t Be Cruel,” “Can’t Help Falling in Love,” and “A Little Less Conversation,” according to the lawsuit filed on October 23.
Lead attorney Richard Busch wrote that the plaintiffs are acting “to enforce these exclusive rights against the Defendant that has built its entire business model based on copyright infringement at a scale never seen before.” Anthropic has previously argued that training AI models on copyrighted material can constitute fair use, and it told the Times it disagrees with the claims and intends to defend the case. The suit joins a growing line of music-industry copyright cases against AI companies, but it is notable for centering on a single artist who died decades before AI existed.
Source: Engadget — https://www.engadget.com/2296535/elvis-presley-estate-suing-ai-company-for-copyright-infringement/
A single file in the Downloads folder can hijack an AI coding agent
A malicious instruction file sitting in a developer’s Downloads folder tried to make an AI coding agent install a known-malicious npm package, security firm Forever Security said in a report published last week. The firm caught the attempt on a real customer’s machine and stopped the agent before any code ran. It could not determine how the file got into the folder.
The file was AGENTS.md, a plain-text instructions file that coding agents such as OpenAI’s Codex read when they start in a folder and follow as directions. Disguised as ordinary engineering notes, it told the agent to add a server to its own configuration and install a package called function-color, part of a documented malware campaign. In tests, Codex followed the planted instructions in more than 90% of attempts, and a related technique against Anthropic’s Claude Code redirected the agent’s API traffic and exposed authentication tokens in about half of tests. The lesson for anyone running a coding agent: never start one in the Downloads folder, and treat instruction files from untrusted places as untrusted.
Source: CSO Online — https://www.csoonline.com/article/4240222/malicious-downloads-can-trick-ai-coding-agents-into-compromising-themselves.html
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