JPMorgan Chase: Maintains Overweight Rating on Tencent; WeChat AI Agent Launch Reduces Risk Premium
Related
Tencent shares surged over 5% intraday, marking a narrative reversal: WorkBuddy users increased by two orders of magnitude, and WeChat's AI "Xiaowei" opens up greater possibilities.
According to BlockBeats, on July 6th, Bitget data showed that Tencent Holdings' Hong Kong-listed shares rose over 5% intraday, reaching HK$453. Tencent, once criticized for its "slow AI development," is experiencing a narrative reversal. In May, at the shareholders' meeting, Ma Huateng frankly admitted, "A year ago we thought we were on a ship, but then we found it was leaking, and now we're standing on it but can't sit down." However, in just a few months, WorkBuddy's monthly active users (MAU) exceeded 20 million, daily active users (DAU) exceeded 13 million, and the DAU/MAU ratio reached 65%-75%, with stickiness comparable to Slack-level office tools. With 43 versions released in three months and updates continuing even during the May Day holiday, Tencent internally positions it as its third phenomenal product after QQ and WeChat. WorkBuddy's success hinges on two key barriers: first, its extremely simple installation—a desktop client plus a WeChat mini-program, with commands sent from the phone after WeChat authorization and executed automatically on the PC, completely bypassing the high command-line deployment hurdles of similar foreign products; second, the activation of Tencent's entire ecosystem in the Agent era—integrating with Tencent Docs, Tencent Meeting, WeChat Work, and over 30 external tools, expanding the SkillHub skill library from 79,000 to 790,000, allowing for automatic data retrieval, file generation, and distribution with a simple command like "create a PPT of last week's sales data and send it to colleagues at a meeting." This leap from a chat bot to a tool that gets things done transforms a fragmented toolchain into a competitive advantage. Furthermore, this groundbreaking product, the first in Tencent's history to conduct on-the-ground promotion, reflects a genuine commitment to penetrating the B2B market. Even greater potential lies in WeChat AI. WeChat's AI assistant, "Xiaowei," launched a small-scale gray-scale test on June 20th, supporting voice or text messaging, Moments posting, and accessing mini-programs for appointment booking and food delivery. It even generates mini-program prototypes using natural language. This marks the first time this super app with 1.43 billion monthly active users has entered the intelligent agent arena. JPMorgan Chase estimates, based on probability weighting, that WeChat's AI Agent could generate approximately 126 billion yuan in incremental revenue and 88 billion yuan in incremental operating profit by 2030. However, Goldman Sachs warns of three major concerns: the potential resource duplication from the parallel operation of its self-developed WeLM model and the mixed-source model; the possibility that inference costs after full rollout could erode 5%-17% of the projected adjusted operating profit for Q4; and the unclear short-term monetization path. The core difference between the two institutions lies in the timing: JPMorgan Chase believes the public beta has transformed WeChat AI from an "abstract option" into a "traceable milestone," while Goldman Sachs believes the short-term cost-benefit asymmetry requires further quarterly verification. In terms of the underlying model, Hunyuan 3 Preview has been integrated into 131 Tencent products, with token usage increasing tenfold compared to the second generation. It ranks first in usage on the OpenRouter platform. However, the prediction that Ma Huateng (Pony Ma) might not be able to maintain his position even after taking the lead still holds true. The ecosystem is the natural foundation for Tencent to act as an agent, but WeChat AI faces complex challenges in handling transactions, advertising, payments, merchants, fairness, and regulation.
*Jpmorgan Chase Recently Evaluated Pursuing Its Own Stablecoin, Sources SAY: BBG
AggrNews News, *Jpmorgan Chase Recently Evaluated Pursuing Its Own Stablecoin, Sources SAY: BBG
Morgan Stanley reiterated its "overweight" rating on RKLB and raised its bullish price target to $293.
Odaily Odaily that Morgan Stanley reiterated its "Overweight" rating on Rocket Lab (RKLB) and maintained its target price of $105, but raised its most bullish target price from $185 to $293. Morgan Stanley analysts believe that the acquisition of Iridium will expand Rocket Lab's potential market space and reposition the company as a vertically integrated space platform. While SpaceX has significant scale and cost advantages over Rocket Lab, the latter is moving closer to the former's model.
JPMorgan: Open source weight commercialization exhibits a "winner-takes-all" phenomenon; Zhipu target price raised to HK$2,000, MiniMax target price cut to HK$300.
According to BlockBeats, on July 8th, JPMorgan Chase released a research report stating that currently competitive models in the market can expand adoption through open-source weighting and continue to monetize through official APIs, partner channels, enterprise deployments, and workflow products; while weaker models face faster price comparisons and traffic fragmentation. JPMorgan Chase raised its revenue forecasts for Zhipu from 2026 to 2030 by 3% to 9%, and narrowed its adjusted loss forecasts for 2026 and 2027 to RMB 3.711 billion and RMB 3.141 billion respectively. The 2028 forecast was revised from a loss of RMB 1.287 billion to a profit of RMB 2.367 billion. The target price was raised from HKD 1800 to HKD 2000, maintaining an "Overweight" rating. The report believes that the performance of GLM-5.5/6, KimiK3, and DeepSeekV4.1 will be key indicators of whether Zhipu can maintain its leading position. JPMorgan lowered its revenue forecasts for MINIMAX-W (2027-2030) by 2% to 8%, and reduced its target price from HK$400 to HK$300, while maintaining a "neutral" rating. The company noted that the M3 model offers a permanent 50% discount, reflecting that the model has not yet created a significant capability premium for leading domestic competitors. JPMorgan believes that if MiniMax can narrow the capability gap, normalize the discount, maintain API usage, and demonstrate stronger workflow stickiness through MiniMaxCode, its outlook could turn positive.
JPMorgan Chase: Raises Apple's price target from $325 to $345
According to Mars Finance, on July 7, JPMorgan Chase raised its target price for Apple (AAPL.O) from $325 to $345.
Bank of America Securities: Maintains "Buy" rating on MINIMAX, target price HK$500
According to BlockBeats, on July 7, Bank of America Securities issued a research report stating that the six-month lock-up period for the MINIMAX-W will expire tomorrow (July 8), which is expected to cause stock price volatility. However, it is possible that it will be included in the Hong Kong Stock Connect on August 6, which may also provide liquidity support. The report maintains a "buy" rating on MiniMax with a target price of HK$500.