Market Overview - US stock markets closed higher with all three major indices rising nearly 1%, marking a new closing high for the S&P 500 index at 6502.08 points, which is the 21st time this year it has closed at a record high [1] - The Dow Jones index rose by 0.77% to 45621.29 points, while the Nasdaq index increased by 0.98% to 21707.69 points, both near historical highs [1] Employment Data - The ADP private sector employment report for August showed an increase of 54,000 jobs, significantly below the market expectation of 68,000, indicating a cooling labor market [3][16] - Initial jobless claims rose to 237,000, the highest level since June, exceeding the expected 230,000, with the four-week moving average also reaching its highest since July at 231,000 [17] Federal Reserve Outlook - Analysts suggest that the Federal Reserve can no longer ignore changes in the labor market, with expectations for a rate cut in September being reinforced by the weak employment data [6] - The market pricing indicates a 97% probability of a rate cut by the Federal Reserve following the ADP report [16] Trade Developments - President Trump signed an executive order to implement a US-Japan trade agreement, which includes a 15% tariff on most Japanese imports and a commitment from Japan to increase its purchase of US rice by 75% [9][20] Notable Stocks - Nvidia shares rose by 0.61%, while Amazon saw a significant increase of 4.29% [11] - In contrast, Alibaba's stock fell by 4.04%, and Tencent's shares dropped by 1.00% [13] Global Market Indices - European markets showed mixed results, with the UK FTSE 100 up by 0.42% and the French CAC 40 down by 0.27% [12] - Asian markets experienced declines, with the Hang Seng Index down by 1.12% [12]

Company News - Amazon (AMZN.O) has deployed 1 million robots globally [2] - Circle (CRCL.N), a stablecoin issuer, has applied to establish a national trust bank in the U.S. [2] - Vodafone (VOD.O) has partnered with AST SpaceMobile to form a new joint satellite venture called SatCo [2] - Boeing (BA.N) has appointed Jesus Jay Malave as the successor to the Chief Financial Officer (CFO), set to take office on August 15 [2] - Xpeng Motors (XPEV.N) delivered 34,611 vehicles in June, a year-on-year increase of 224%, marking the eighth consecutive month of deliveries exceeding 30,000 [2] - Li Auto (LI.O) delivered 36,279 vehicles in June, a year-on-year decrease of 24%, with a total of 111,074 vehicles delivered in the second quarter [2] - NIO (NIO.N) delivered 24,925 vehicles in June, a year-on-year increase of 17.5%, with 72,056 vehicles delivered in the second quarter of 2025, representing a year-on-year growth of 25.6% [2] - OpenAI spokesperson stated that while the company is using some of Google's (GOOG.O) tensor processing units (TPUs) for early testing, there are currently no plans for large-scale deployment of these chips [2] - Tesla (TSLA.O) saw a 64.4% year-on-year decline in new car registrations in Sweden for June, a 61.57% decline in Denmark, while experiencing a 53.8% increase in Norway and a 60.7% increase in Spain [2]

Core Insights - Morgan Stanley indicates that OpenAI, supported by Microsoft, may utilize Google's Tensor Processing Units (TPUs) for its AI inference tasks, marking a significant endorsement of Google's hardware technology [1] - The use of Google's TPUs signifies a diversification of OpenAI's suppliers, which previously relied solely on NVIDIA's chips for training and inference calculations [1][2] - This partnership is expected to accelerate the growth of Google Cloud's business and enhance market confidence in Google's AI chip capabilities [1] Company and Industry Analysis - OpenAI is recognized as one of the most notable TPU customers, alongside Apple, Safe Superintelligence, and Cohere, highlighting Google's decade-long development of AI infrastructure [2] - Despite not being able to access Google's most advanced TPUs, OpenAI's choice to collaborate with Google underscores the latter's leading position in the broader Application-Specific Integrated Circuit (ASIC) ecosystem [2] - The decision to use Google's TPUs may be influenced by the limited supply of NVIDIA GPUs due to high demand, which could negatively impact Amazon's AWS and its custom Trainium chips [2] - OpenAI's collaboration with Google allows it to run AI workloads across major cloud service providers, including Google Cloud, Microsoft Azure, Oracle, and CoreWeave, with Amazon being a notable absence [2]

Core Insights - OpenAI has begun utilizing Google-made AI chips, specifically Tensor Processing Units (TPUs), for its products including ChatGPT, marking a significant shift from its previous reliance on NVIDIA chips [1][2] - This collaboration indicates OpenAI's strategy to diversify its suppliers, as it has historically depended on NVIDIA for both training AI models and executing inference calculations [1] - OpenAI anticipates that leasing TPUs from Google Cloud will help reduce inference-related costs, potentially positioning TPUs as a cheaper alternative to NVIDIA GPUs [1] Group 1 - The partnership between OpenAI and Google represents a surprising collaboration between two major competitors in the AI field, aimed at addressing OpenAI's growing computational needs [1] - Morgan Stanley has released a report supporting Google, suggesting that if the agreement is confirmed, it would reflect Google's confidence in its long-term search business and accelerate the growth of Google Cloud, with a valuation exceeding 18 times [1] Group 2 - For Google, this collaboration coincides with its efforts to expand the external availability of its self-developed TPUs, which were previously used mainly for internal projects [2] - The partnership has attracted interest from other tech giants like Apple and competitors of ChatGPT, indicating a broader market interest in Google's TPU technology [2] - However, Google has reportedly not leased its most powerful TPU models to OpenAI, indicating a strategy to reserve its advanced versions for internal projects, including its own Gemini large language model [2]