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OpenAI and Meta Bet on AI Agents First, Hardware Later

The Verge reports that OpenAI and Meta plan to use cute software agents in the coming year to pave the way for physical AI hardware. OpenAI unveiled its agent platform Dots at DevDay and is partnering with former Apple designer Jony Ive; public documents show the hardware could ship as early as February 2027. Meta, meanwhile, has tied its recently released Muse agent directly to a pendant-style device called Muse Charm, which it plans to launch before this year's holiday shopping season. Both companies hope to first get users accustomed to and dependent on agents, then guide them toward accepting physical forms.

After Meta's personal agent Muse went viral, who is most likely to build a Chinese version of Muse

Meta's personal AI agent Muse launched on September 8, surpassing 2.5 million downloads in 13 days, with 642,000 daily active users on the US mobile end, nearly 3 times that of ChatGPT in its early launch period; on September 21, Meta's market value rose by more than $190 billion in a single day. The article benchmarks domestic players across four items—entry point, payments, ecosystem, and execution capability—arguing that Tencent's Xiaowei has the most similar foundation but is constrained by WeChat's boundaries, Alibaba's Qwen is closest to transactions but lacks lifestyle scenarios, and ByteDance's Doubao phone relies on simulated operations and faces platform risk controls; in the short term, it is more likely that butlers within each ecosystem will coexist.

Why Meta's Muse Alerts Chinese Tech Companies

On September 8, Meta launched Muse, a consumer-grade personal agent app. It surpassed 902,000 downloads within six days of launch, and ten days later became the top free iPhone app on the U.S. App Store, ahead of ChatGPT, Gemini, and Claude. Meta's stock rose more than 25% by September 24. Muse is based on Meta's self-developed Muse Spark model and runs in a separate cloud virtual machine for each user. It can access email, Facebook, and Instagram, and uses an independent Sentinel agent to approve networked operations. It is free to use, with additional tiers at $20 and $100 per month. The author believes that Chinese tech companies with end-to-end ecosystems are well positioned to launch their own assistants amid this wave of personal agents, and notes that ByteDance's Doubao team is reportedly rushing to build a similar product.

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Who Is Really Eating the AI Dividend: Looking at Profit Distribution Through Tech Giants' Financial Reports

The article reviews the latest financial reports of tech giants such as Meta, Amazon, and Google, noting that AWS revenue grew 39% year-over-year, but the group's free cash flow over the past 12 months turned negative at -$42.4 billion, and Alphabet's stock price fell 12.64% in a single day. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, a year-over-year increase of 1300%; compute and infrastructure costs during the same period reached $8.945 billion, and it signed minimum purchase commitments totaling $269.4 billion with Google, Amazon, and Microsoft. In a McKinsey survey, 80% of respondents said AI improved work efficiency, but only 37% believed AI made a positive contribution to corporate EBIT.

Who Is Really Eating the AI Dividend?

Combining the latest financial reports from giants such as Amazon, Google, and Meta with surveys from multiple institutions, the article sorts out how the AI dividend is distributed among leading model companies, upstream chip and cloud vendors, enterprises adopting AI, and ordinary workers. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, up 1,300% year over year, but compute and infrastructure costs reached $8.945 billion, accounting for 55% of revenue. In a McKinsey survey, 80% of respondents said AI improved efficiency, while only 37% believed AI made a positive contribution to their company's EBIT.

Microsoft, Google, and Amazon Earnings Side by Side: The AI Infrastructure Race Reaches a Watershed

The latest earnings reports from the three cloud providers Microsoft, Google, and Amazon show cloud businesses accelerating across the board: AWS third-quarter revenue was $45.98 billion, up 39.3% year over year; Azure posted $33.165 billion for the quarter, up 48%; Google Cloud revenue was $30.71 billion, more than doubling year over year; and their backlogs reached $578 billion, $677 billion, and $561 billion, respectively. Over the same period, all three posted negative free cash flow: Amazon had a net outflow of $42.36 billion over the past 12 months, Alphabet was negative $9.07 billion, and Meta had a net outflow of $2.12 billion, while only Microsoft remained positive at $18.6 billion. Market reactions diverged; Alphabet fell 12.64% in a single day on slowing advertising growth and its swing to negative cash flow, and the article argues that the competitive bottleneck is shifting from chips to power, land, and grid-connection approvals.

Anthropic's revenue in the first half of 2026 is nearly 400 times its full-year 2023 revenue

Rohan Paul, citing a Bloomberg chart, states that Anthropic's revenue in the first half of 2026 is nearly 400 times its full-year 2023 revenue, and no other company in the chart comes close to this multiple. Nvidia, with the second-fastest growth, remained below 50 times throughout its first three years before going public, while Alphabet, Meta, Microsoft and SpaceX essentially stayed near the 1x baseline. Anthropic's full-year 2025 revenue was about 100 times that of 2023, so its revenue in just six months of 2026 was about 4 times its full-year 2025 revenue.

Goldman Sachs Assesses AI Data Center Investment Growth Will Peak in Q4 2026

Goldman Sachs Chief Economist Jan Hatzius said that the year-over-year change in hyperscale data center AI investment as a share of U.S. GDP is expected to peak in the fourth quarter of 2026 at about 1.5%. AI infrastructure capital expenditure by Amazon, Microsoft, Alphabet, Meta, Oracle and SpaceX this year is expected to reach about $725 billion to $800 billion, up 64% from 2025, and to push U.S. investment-grade bond issuance up to $1.76 trillion. Goldman Sachs also estimates that if the data center investment boom ends, the level of U.S. GDP could fall by about 2 percentage points.

The agents helping users snag iPhone foldables are shaping the future of e-commerce in the AI era

Shopping agents such as Meta's Muse and xAI's Grok Bot snapped up inventory during the iPhone Duo pre-order; Amazon banned external agents on the grounds of violating its terms of use, while Shopify chose deep collaboration with Muse. Shopify disclosed that in the first quarter of this year, orders driven by AI search grew nearly 13-fold year over year and AI-driven store traffic grew 8-fold, but in the second quarter these two multiples fell back to 3-fold, and agentic commerce transaction volume remains very small relative to the platform's GMV. The article argues that Amazon guarding its advertising shelves and Shopify building an open pipeline are the most rational choices for each of the two business models, and outlines the position of the UCP protocol, Shopify Catalog and Shop Pay in agent transactions.

AI capex panic pushes down US Treasury yields, market lowers expectations of Fed rate hikes

The AI capex panic triggered a plunge in US Treasury yields, with the 10-year Treasury yield falling 19 basis points in a single day, the largest one-day drop since the Silicon Valley Bank crisis in early 2023, and the market now sees a 24% probability that the Fed will not raise rates this year. After Meta gave guidance that capex would require "hundreds of billions of dollars," its stock fell nearly 7%, CoreWeave dropped 10%, and credit spreads across the computing infrastructure sector widened across the board. The article argues that the Fed faces a dilemma between fighting inflation and avoiding pricking the AI bubble, while international oil prices hitting their highest level since 2008 provide ammunition for the hawks.

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