TSMC Commits $1 Billion to Anthropic and OpenAI

China’s Singles Day promotions generated 1.78 trillion yuan ($267 billion) in sales from October 7 to November 11, up 4.8% year over year, according to Syntun. Growth slowed from 14.2% the year before as weak consumer confidence, job worries and low income expectations weighed on spending. AI products drew attention: JD.com reported more than 50 million AI-related products sold and over 300 million service orders, with transaction values for several device categories more than doubling and sales of large-language-model token packages rising more than tenfold. Alibaba said 333 brands launched in the past three years ranked first in specialist categories, including robot maker Fuzozo and smart-sleep company Eight Sleep. Platforms also used chatbots, though their impact on sales was unclear. Service purchases such as AI computing, tourism, medical consultations, check-ups, home cleaning and moving also featured; service retail grew 5% in China’s first three quarters of 2026, versus 1.1% for overall retail sales.

Amazon is expanding tools for AI development and deployment. A guide for Java teams shows how Amazon Bedrock AgentCore and Spring AI can support agents that plan tasks, use APIs and retain conversation context, with examples including a travel agent and a five-specialist document-processing system. Natera used AgentCore to build SWARM for lab support: it reports first responses about 130 times faster and automated coverage for 96.2% of support tickets. Its two runtimes prepare diagnostic reports and let engineers investigate interactively, connecting with Jira and Confluence on HIPAA-eligible AWS services. Separately, AWS introduced SGLang-Neuron, a plugin connecting SGLang with Trainium chips; its example serves OpenAI’s gpt-oss-120b model on a Trainium3 EC2 instance.

AI demand is also showing up in semiconductor suppliers’ results and plans. Aehr Test Systems said fiscal first-quarter 2027 sales tripled to about $33 million, bookings reached $46.7 million and effective backlog stood at $109.3 million. It raised its full-year sales outlook to $150 million. A major supplier of AI accelerators, CPUs and network processors plans to evaluate Aehr’s FOX-XP burn-in system in early 2027, but no larger order is confirmed. Probe-card maker Technoprobe reported third-quarter 2026 revenue of €323.3 million, up 130% year over year; AI and data-center uses account for more than half of production. It plans capacity of about €1.6 billion by Q1 2027 and €2 billion by year-end, while warning that an ERP transition will reduce Q4 revenue by about €50 million.

TSMC committed $1 billion to Anthropic and OpenAI as it plans about $40.93 billion in capital investment to expand manufacturing. OpenAI develops custom chip architectures that require advanced foundry capacity. Anthropic reported $17 billion in Q3 2026 revenue and a $536 million operating loss as it scales ahead of a planned public debut. TSMC also joined Google, Nvidia, AMD, Broadcom, Micron and Microsoft in Anthropic’s private placement. More broadly, SBI Funds Management estimates average annual AI capital spending will equal about 3.6% of US GDP from 2025 to 2032—above the 1.1% share during the 2000 dotcom cycle and 2.2% during the 19th-century railroad boom. Large technology-company borrowing has lifted long-term bond yields, while investors question whether AI revenues will justify the spending.

Other organizations are weighing AI’s operational and workforce effects. CNBC President K.C. Sullivan said the network is exploring AI for its data, newsroom production and content distribution, including possible interview summaries, stories and live transcripts; he said CNBC has no AI-company partnership. Security guidance describes monitoring AI services, models and agents for threats such as unapproved use, prompt injection and sensitive-data exposure. Seceon says its aiTRiSM360 product can discover AI agents and machine identities in under 60 seconds and respond through aiSOAR in under 90 seconds. In the UK, NHS England removed a claim that 137 hospital trusts benefit from Palantir’s health data system after reporting found 29 trusts were not using it or used little of it; the Office for Statistics Regulation is examining NHS claims. Ministers are considering extending Palantir’s £330 million contract to 2029, amid opposition and a provision campaigners say could allow it to end in 2027. Separately, executive Gonzalo Diaz calls for leaders to identify skills gaps, plan and fund reskilling, foster continuous learning and lead by example, emphasizing critical and systems thinking.

Key Takeaways

  • China’s Singles Day sales rose 4.8% to 1.78 trillion yuan ($267 billion), slower than the prior year’s 14.2% growth; JD.com reported 50 million-plus AI-related products sold and more than 300 million service orders.
  • AI device transaction values more than doubled in several categories, while large-language-model token-package sales increased more than tenfold; service retail grew 5% in China’s first three quarters of 2026, versus 1.1% for overall retail.
  • Amazon Bedrock AgentCore supports Java AI agents, and Natera’s AgentCore-based SWARM reports 130-times-faster first responses and automated coverage for 96.2% of support tickets.
  • AWS introduced SGLang-Neuron to connect SGLang serving with Trainium; its example runs OpenAI’s gpt-oss-120b model on a Trainium3 EC2 instance.
  • Aehr Test Systems tripled fiscal Q1 2027 sales to about $33 million and raised its full-year outlook to $150 million; a potential customer’s FOX-XP evaluation is planned for early 2027, with no production order confirmed.
  • Technoprobe’s Q3 2026 revenue rose 130% to €323.3 million, and AI and data centers now account for more than half of its production; it plans capacity of €2 billion by the end of 2027.
  • TSMC committed $1 billion to Anthropic and OpenAI and plans about $40.93 billion in capital investment; Anthropic reported $17 billion in Q3 revenue and a $536 million operating loss.
  • SBI Funds Management estimates AI capital spending will average 3.6% of US GDP annually from 2025 to 2032, while raising concerns about whether AI revenues will support the investment.
  • CNBC is exploring AI for newsroom production and distribution but says it has no AI-company partnership; Seceon says its tools detect AI agents in under 60 seconds and can respond in under 90 seconds.
  • NHS England removed its claim that 137 trusts benefit from Palantir’s system; leaders are also urged to address AI-related skills gaps through reskilling, continuous learning and stronger critical and systems thinking.

China’s Singles Day sales grow 4.8% as AI shopping gains ground

China’s Singles’ Day sales rose 4.8% to 1.78 trillion yuan, or $267 billion, during promotions from October 7 to November 11, Syntun said. Growth slowed from 14.2% the year before, as weak consumer confidence, job worries and the property downturn weighed on spending. JD.com reported selling more than 50 million AI-related products and generating over 300 million service orders. Sales of several AI devices more than doubled, while sales of large-language-model token packages rose more than tenfold. Alibaba also said 333 brands launched within the past three years ranked first in specialized categories during part of the promotion.

AI products and chatbots feature in China’s Singles Day sales growth

China’s Singles’ Day sales rose 4.8% to 1.78 trillion yuan, or US$267 billion, during the October 7 to November 11 promotion, data provider Syntun said. The increase was slower than last year’s 14.2% growth, amid weak consumer confidence and job insecurity. JD.com said it sold more than 50 million AI-related products and completed over 300 million service orders. Transaction values for AI PCs, workstations, cameras, glasses and recording devices more than doubled, while sales of large-language-model token packages increased more than tenfold. Alibaba said 333 brands launched within the past three years ranked first in specialized categories, including Fuzozo and Eight Sleep.

China Singles Day sales rise 4.8% as AI products draw attention

Sales during China’s Singles’ Day shopping festival grew 4.8% to 1.78 trillion yuan, Syntun said, compared with 14.2% growth the previous year. The October 7 to November 11 event took place as weak consumer confidence, low income expectations and job insecurity weighed on spending. JD.com reported more than 50 million AI-related products sold and over 300 million service orders. Transaction values for several AI devices more than doubled, and sales of large-language-model token packages increased more than tenfold. Alibaba said 333 brands launched within three years ranked first in specialized categories, including AI robot maker Fuzozo and smart-sleep company Eight Sleep.

Services from AI to cleaning drive Singles Day spending

China’s Singles’ Day shopping event saw growth in services such as AI computing, tourism, medical consultations and home cleaning, as retail demand remained subdued. Shoppers also used e-commerce platforms to buy medical check-ups and moving services, according to retailers and domestic media. The event, also called Double 11, runs over several weeks and centers on November 11. In the first three quarters of 2026, service retailing grew 5%, faster than the 1.1% rise in overall retail sales, National Bureau of Statistics figures showed.

China’s Singles Day sales reach 1.78 trillion yuan as AI grows

China’s Singles’ Day sales rose 4.8% from a year earlier to 1.78 trillion yuan, or $267 billion, Syntun said. The estimate covered major e-commerce platforms, including JD.com, Alibaba’s Taobao and Tmall, and Pinduoduo, and showed AI-related sales taking a larger share. Also known as the 11.11 shopping festival, Singles’ Day is one of the world’s largest online shopping events. Its sales first exceeded $1 trillion in 2020, and the figures serve as an indicator of consumer spending and economic health in China.

China Singles Day sales grow 4.8% as AI shopping gains ground

Sales during China’s Singles Day festival rose 4.8% from a year earlier to 1.78 trillion yuan, or $267 billion, according to data provider Syntun. The estimate covers major e-commerce platforms from October 7 to November 11, and growth was slower than last year’s 14.2%. Platforms used chatbots and other AI tools during the weeks-long promotion, though their effect on sales was unclear. JD.com reported selling more than 50 million AI-related products, while sales of several AI product types more than doubled. Alibaba also highlighted young brands, including AI robot maker Fuzozo and smart-sleep company Eight Sleep.

Java teams can build production AI agents with Amazon Bedrock and Spring AI

Amazon Bedrock and Spring AI give Java teams tools to build AI agents that can plan tasks, use tools and APIs, and remember information across conversations. The article explains how to use Amazon Bedrock AgentCore, which provides managed runtime, memory, browser automation, code execution, and identity management. Its examples include a travel agent and a document processing system with five specialist agents for legal, mortgage, insurance, tax, and general tasks. The walkthrough covers agent tools, conversation memory, resilience, and deployment to AWS. It requires Java 21, Spring Boot 4.1, Spring AI 2.0, Maven 3.9 or later, and other listed development tools.

Natera uses Amazon Bedrock AgentCore to speed lab support

Natera built SWARM, an agentic AI system for lab operations, using Amazon Bedrock AgentCore. The system delivers a first response about 130 times faster and provides automated coverage for 96.2 percent of support tickets. It uses two runtimes that share a skill library: swarm-agent creates diagnostic reports before engineers open tickets, while swarm-hive lets engineers investigate issues interactively. SWARM connects with tools such as Jira and Confluence and runs on HIPAA-eligible AWS services under a Business Associate Agreement. The managed AgentCore runtime provides security, identity management, and monitoring without requiring Natera to run its own agent infrastructure.

Aehr Test Systems triples quarterly sales and raises 2027 outlook

Aehr Test Systems said first-quarter fiscal 2027 sales tripled from a year earlier to about $33 million, beating estimates near $27.5 million. Shares rose 26.5% after the report, and the company raised its full-year sales outlook to $150 million from a previous midpoint of $140 million. Bookings reached $46.7 million, and effective backlog stood at $109.3 million. Aehr also said it is working with a major supplier of AI accelerators, CPUs, and network processors, which plans to evaluate a FOX-XP burn-in system in early 2027 before deciding on a larger order. The potential supplier order remains an opportunity, not a confirmed production order.

Technoprobe Q3 sales jump 130% as AI demand drives growth

Technoprobe reported third-quarter 2026 revenue of EUR 323.3 million, up 130% from a year earlier and 16.7% from the previous quarter. Gross margin reached 61.1%, and EBITDA margin was 52.6%. The Italian probe-card maker said AI and data center uses now account for more than half of its production. It plans to raise manufacturing capacity to about EUR 1.6 billion by the first quarter of 2027 and EUR 2 billion by the end of 2027. Management warned that a new ERP system transition would reduce fourth-quarter revenue by about EUR 50 million, while a major hiring program would also weigh on results.

TSMC invests $1 billion in Anthropic and OpenAI

Taiwan Semiconductor Manufacturing Company (TSMC) committed $1 billion to Anthropic and OpenAI, building closer ties with the AI companies as a chip supplier. The move comes as TSMC plans about $40.93 billion in capital investments to expand its manufacturing capacity. OpenAI designs and deploys custom chip architectures that need advanced foundry manufacturing. Anthropic reported $17 billion in revenue in Q3 2026 and a $536 million operating loss as it scales ahead of a planned public debut. TSMC joined Google, Nvidia, AMD, Broadcom, Micron, and Microsoft in Anthropic’s private placement.

AI spending could reach 3.6% of US GDP through 2032

AI investment is helping drive economic growth, especially in the United States, but borrowing by large technology companies has also pushed up long-term bond yields. SBI Funds Management estimates that average yearly AI capital spending will equal about 3.6% of US GDP from 2025 to 2032. That is above the 1.1% share recorded during the 2000 dotcom cycle and the 2.2% share during the 19th-century railroad boom. A central concern is whether AI companies will earn enough revenue to justify their large investments.

AI monitoring helps security teams spot threats to AI systems

AI security monitoring tracks activity involving AI services, models, and agents to find misuse, manipulation, and data loss. It helps security operations centers detect risks that traditional tools may miss, including unapproved AI use, prompt injection, and sensitive data sent to AI tools. The process collects and checks activity, connects it with identity, network, and endpoint data, then alerts security teams and supports a response. The article says platforms should offer real-time detection, useful alerts, integration with SIEM and SOAR tools, and response options such as blocking access or isolating an agent. Seceon aiTRiSM360 can discover AI agents and machine identities in under 60 seconds and respond through aiSOAR in under 90 seconds, with SaaS, on-premises, and air-gapped deployment options.

CNBC considers AI for newsroom and content delivery

CNBC President K.C. Sullivan said the network is exploring ways to use artificial intelligence to deliver content in formats its audience wants. At the Web Summit in Lisbon, Portugal, he described three areas of focus: using CNBC’s data, helping the newsroom create its own content, and distributing content to consumers. CNBC may use AI to summarize interviews with CEOs and executives and produce stories and live transcripts. Sullivan said CNBC has no AI company partnership but is examining options.

AWS brings SGLang support to Trainium for serving AI models

Amazon announced SGLang-Neuron, a plugin that connects the SGLang serving system with AWS Trainium chips. SGLang continues to handle the API server, request flow, RadixAttention, and prefix-cache records, while the plugin provides Trainium-specific models, attention, mixture of experts, and graph running. The guide uses a Trainium3 Amazon EC2 instance and a `pytorch-inference-sglang-neuronx` container. Its example starts a server for the `openai/gpt-oss-120b` model and sends it a chat request. AWS points readers to the SGLang-Neuron setup guide and documentation for supported models, features, and tested configurations.

NHS England removes claim that 137 trusts benefit from Palantir tools

NHS England removed a website claim that 137 hospital trusts benefit from Palantir’s health data system. The Guardian reported that 29 trusts were not using the technology or were using little of it, and the Office for Statistics Regulation is examining NHS claims about its use. Ministers are considering whether to extend Palantir’s £330 million contract to 2029. Critics, including Labour MP Ben Coleman and the union Unison, oppose the deal, while campaign groups say it could end in 2027 under a contract provision that would help trusts move away from the technology.

Five leadership rules to close the AI skills gap

Gonzalo Diaz says the gap between workers’ current skills and those needed for future jobs is a serious challenge. He outlines five rules for executives: recognize the gap, create a plan to address it, invest in upskilling and reskilling, build a culture of continuous learning, and lead by example. Diaz argues that leaders must act to prepare their organizations for the future and prevent workers from being displaced by automation. He says workers need stronger critical and systems thinking skills.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Artificial intelligence Singles Day AI commerce AI agents Amazon Bedrock AgentCore Spring AI AWS Trainium SGLang-Neuron AI semiconductor demand Aehr Test Systems Technoprobe TSMC Anthropic OpenAI AI infrastructure investment AI cybersecurity AI in journalism Palantir NHS contract Workforce reskilling AI data centers

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