Meta Platforms Inc.META
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Oppenheimer's Helfstein is skeptical Meta can reach ~115M paying Muse subscribers for $28B AI revenue, and Meta's Q2 EPS missed consensus with margin compression and capex surge.
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Artificial Intelligence▼ · 1 stocks
Meta Platforms Inc.Digital Finance & Tokenization▲ · 1 stocks
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OpenAI's ChatGPT Hits $1 Billion in Annualized Ad Revenue in Under Seven Months
OpenAI's ChatGPT reached $1 billion in annualized ad revenue less than seven months after launching its ad product, a milestone that may make it the fastest business ever to hit that mark with a digital product. Alphabet, Meta Platforms, and Amazon each took several years from ad launch to reach $1 billion in annual revenue, and ChatGPT hit the figure while selling ads only in North America. Among its biggest advertisers are Booking Holdings, Intuit, Home Depot, and L.L. Bean, and the chatbot has reached 1 billion weekly active users. At the start of the month OpenAI expanded ads to more than 40 countries, including India, and across Europe, the Middle East, and North Africa, and it opened the ad product to small and medium-sized businesses, which now represent a significant share of the business. The article argues the success should support the broader AI ecosystem, including chip stocks, and names Nvidia as the most obvious beneficiary given its $30 billion investment in OpenAI and OpenAI's plans to deploy at least 10 Gigawatts of Nvidia systems.
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Four Paid Subscribers Sue Anthropic, OpenAI, SpaceXAI and Google Over AI Slowdown
Four paid subscribers to major AI platforms filed a class-action lawsuit, Buist et al. v. Anthropic PBC et al., in the Northern District of California on September 18, 2026, alleging that Anthropic, OpenAI, SpaceXAI and Google entered an unlawful agreement to restrain trade by collectively slowing the pace of AI development. The plaintiffs—Charles Buist, Nick Spetsas, Cheyenne Hunt and Christine Bullock—argue the labs are artificially reducing output and stifling product improvements, harming consumers who pay for frontier-model access. The suit follows Anthropic CEO Dario Amodei's September 12 essay, We Must Pace the Frontier, which advocated deliberate deceleration in model deployment, and same-day public endorsements of the pacing strategy from Elon Musk, Sam Altman and Demis Hassabis. On September 15, OpenAI's Chris Lehane confirmed to TechCrunch and Bloomberg that the major labs had been coordinating on safety protocols for weeks, and the lawsuit landed three days later, testing whether that coordination is a valid safety defense or a violation of Section 1 of the Sherman Act. Days before the filing, Senators Josh Hawley and Ted Cruz blocked a national-security antitrust exemption for AI companies within the NDAA manager's package, with Hawley declaring, "No antitrust exemptions for AI. Not a chance." The defendants have yet to respond and the case remains in the early pleading stage with no merits ruling in sight.
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Trump to appoint AI policy chief, dismisses safety risks as 'made up'
US President Trump has said he will appoint a director to oversee AI policy, maintaining his stance of pushing technology companies to accelerate development even as concerns over AI safety grow. In a social media post on the 19th, Trump stressed, "We will not do anything to hinder or hold back the growth of this incredible industry in any way," adding, "AI is the next industrial revolution, or perhaps the internet, but its scale and impact will be even greater, and it could account for as much as 25% of our country's gross domestic product." He dismissed concerns that rapidly evolving AI technology poses risks to humans as made up, likening them to warnings about climate change and the scandal that led to two impeachment proceedings during his first term. He also said he would create an AI Force modeled on the Space Force, a branch of the US military established during his first term, though its organizational form and specific role remain unclear. Over the past week, Alphabet's Google, OpenAI, Anthropic, and Meta Platforms have all disclosed cases in which their AI agents improperly infiltrated other companies' systems, calling for a need to slow the pace of developing cutting-edge and highly profitable models.