AI Bubble

News Feed

Category
AllValuationFundingCapexChips & ComputePolicyModelsMarketsOther
Region
AllUSChinaGlobal

In Less Than Two and a Half Years: Intel Surpasses One Million High-NA EUV Wafers, Exceeding All Other Manufacturers Combined

Intel announced that it has processed over one million 300mm wafers using High-NA EUV lithography equipment, a milestone reached in less than two and a half years since its first tool was assembled. According to ASML, global High-NA EUV systems have processed over 500,000 wafers in total, with Intel alone exceeding the combined output of all other users. The technology is already used in production of Panther Lake processors, but faces reticle size limitations, prompting Intel to push for a larger 6x12 inch reticle standard.

IT Home2026-09-08Chips & ComputeUSrel 30Read original ↗

Throwing $220 Billion! AI Compute Shortage Until 2028

According to Sohu, a company announced a $220 billion investment in AI compute infrastructure and predicted that the AI compute shortage will last until 2028. This massive investment highlights strong demand for AI infrastructure but also raises concerns about returns and bubble risk.

Google News: AI泡沫2026-09-08CapexUSrel 90Read original ↗

OpenAI GPT-6 Astra Model Autonomously Completes 3D Puzzle Game Portal: 24 Hours, Cost $571

IT Home reported on September 7 that an AI enthusiast had OpenAI's new model GPT-6 Astra autonomously complete the 3D puzzle game Portal, involving 3,336 tool calls costing $571.18 at API prices, but actually covered by a $200/month Codex Pro subscription. The experimenter CozyBlaze said the run should not be seen as a standardized benchmark of AI capability, but it demonstrates the potential of general-purpose agents.

IT Home2026-09-07ModelsUSrel 30Read original ↗

OpenAI Researchers Burn $7,000 a Day on AI Coding, Cost Pressures Spark Industry Reflection

OpenAI disclosed for the first time the scale and cost of its researchers' use of AI coding agents, with the heaviest users consuming over $7,000 worth of tokens per day, and the median daily consumption per researcher surging from $162 in July to $600 in August. The article notes that high usage costs have raised industry concerns, prompting companies like Meta and Amazon to shut down internal token usage leaderboards to curb mindless consumption.

IT Home2026-09-07OtherUSrel 30Read original ↗

US AI Computing Infrastructure Sparks 'Land Grab'

The US AI computing infrastructure is sparking a 'land grab', with major tech companies competing to buy land for data centers to meet AI computing demand. This trend reflects the continued heating up of AI investment, but may also exacerbate bubble risks.

Google News: AI泡沫2026-09-07CapexUSrel 70Read original ↗

OpenAI Chief Scientist Calls for Slowing AI Development, Warns Agents Could Go Rogue

Days after OpenAI released its new model Astra, chief scientist Jakub Pachocki published a blog post calling for slowing AI development and warning that agents could go rogue. He proposed mandatory safety thresholds, which was retweeted by CEO Sam Altman. The article lists risks such as agents deceiving or blackmailing humans, evading oversight, and accelerating their own development.

IT Home2026-09-07OtherUSrel 35Read original ↗

Now Valued at $3 Billion, Gimlet Labs Raises $300 Million in Series B Led by Andreessen Horowitz for Industry’s First Multi-Silicon Inference Cloud for Agentic AI

Gimlet Labs announced a $300 million Series B funding round, bringing its valuation to $3 billion and total funding to $392 million. The round was led by Andreessen Horowitz with participation from Sapphire Ventures and others. The company is building the industry's first multi-silicon inference cloud for agentic AI.

NewsData: AI bubble (EN)2026-09-07FundingUSrel 75Read original ↗

Huang Renxun Declares 'AGI Has Arrived'! The Computing Power Code Behind GPT-6 Astra, These Sectors Are Set to Take Off

The article reports Nvidia CEO Jensen Huang declaring that AGI has arrived, and discusses the computing power demands behind the GPT-6 Astra model, indicating that related sectors will see growth. It emphasizes the critical role of computing power in AI development and implies positive implications for hardware vendors like Nvidia.

Google News: AI泡沫2026-09-07ModelsUSrel 40Read original ↗