AliExpress, a subsidiary of BABA-W (09988.HK), released a poster with a “boxing duel” theme, displaying two boxing gloves, one black and one red, clashing violently, with the caption “See You in Hangzhou on January 7”.

The red and black boxing gloves in the poster correspond to the brand colors of AliExpress and Amazon, respectively, suggesting that AliExpress is openly challenging Amazon, Chinese media reported, citing industry insiders.

AliExpress will purportedly hold a Brand Globalization Conference in Hangzhou on January 7, 2026, inviting mainly large sellers who stock up for overseas markets. Meanwhile, Amazon's annual merchant conference had been previously held in Hangzhou.
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US bourse started lower but trended higher on Tuesday as the market absorbed the US 3Q GDP annual growth rate of 4.3%, which beat expectations. The DJIA finished up 79 points or 0.2%, at 48,442. Led by Nvidia (NVDA.US), the Nasdaq concluded 133 points or 0.6% higher, at 23,561. The S&P 500 ended up 31 points or 0.5%, at 6,909, marking a historic closing high.

Techs traded mixed. Nvidia soared 3%. Amazon (AMZN.US) and Alphabet (GOOG.US) gained over 1%. Apple (AAPL.US) went up 0.5%. Tesla (TSLA.US) dipped 0.7%. Oracle (ORCL.US) retreated 1.5%.

Novo Nordisk (NVO.US) rallied 7.3% as its oral weight-loss drug received FDA greenlight.
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Driven by the growth in EV registrations in Germany, Italy, Spain and other markets, new car sales in Europe recorded YoY growth for the 5h consecutive month in November, rising by 2.4% to 1.1 million units, as announced by the European Automobile Manufacturers' Association (ACEA).

In November, new car registrations for Volkswagen and Renault increased by 4.1% and 3%, while Stellantis and Tesla (TSLA.US) dropped by 2.7% and 11.8%, respectively. BYD COMPANY (01211.HK)'s new car registrations surged by 221.8%.
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US bourse opened higher and trended higher on Monday as Thursday marks the beginning of Christmas holiday. The DJIA finished up 227 points or 0.5%, at 48,362. The Nasdaq closed up 121 points or 0.5%, at 23,428. The S&P 500 added 43 points or 0.6%, settling at 6,878.

Tesla (TSLA.US) shot up as much as 3.7% to peak at US$498.83, nearing the US$500 mark, with the day's upswing ebbing to 1.6% at US$488.73. Other major techs showed mixed trends, with Apple (AAPL.US) down 1%, Microsoft (MSFT.US) down 0.2%, and Alphabet (GOOG.US) up 0.9%.

AI stocks had a good run, with NVIDIA (NVDA.US) up 1.5%, reportedly set to start shipping H200 chips to China in mid-February; Oracle (ORCL.US) up 3.3%; and Micron (MU.US) up 4%.

Oracle founder Larry Ellison provided a US$40.4 billion guarantee for Paramount's (PSKY.US) acquisition offer for Warner Bros (WBD.US), with Paramount up 4.3% and Warner Bros also up 3.5%.
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Google's parent company Alphabet (GOOG.US) announced on Monday that it will acquire the data center and energy infrastructure company Intersect for US$4.75 billion in cash and assume its debt.

Alphabet stated that Intersect will continue to operate independently, but this acquisition will help accelerate the deployment of more data centers and power generation capacity.

The transaction is anticipated to be completed in the first half of 2026, subject to certain conditions being met.
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The US government has begun the approval process for Nvidia (NVDA.US) to export its H200 chips to China, Reuters quoted sources as saying.

The US Department of Commerce has submitted the chip export license application to the State Department, Department of Energy and Department of Defense for review.

It is believed that these departments have 30 days to conduct their evaluations, and US President Donald Trump will have the right of final decision.
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As the US inflation rate for November unexpectedly fell to 2.7% and Micron (MU.US) delivered benign results, the US stock market was booming across the board Thursday.

The DJIA closed up 65 points or 0.1% at 47,951. The Nasdaq rose 313 points or 1.4% to close at 23,006. The S&P 500 climbed 53 points or 0.8%, closing at 6,774, ending a four-day losing streak.

Micron's 1FQ earnings beat expectations, lifting the company's stock price by 10% for the day. Other AI stocks were also on the rise. Oracle (ORCL.US) grew nearly 1%. AMD (AMD.US) and Nvidia (NVDA.US) advanced nearly 2%.
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To better meet the consumer demand for car purchases, and in accordance with Guangzhou's second round of auto consumption promotion activity implementation details for Guangdong Quality Products Purchase, as well as the overall arrangement of provincial and municipal budget funds, it has been decided to supplement the activity funds by RMB300 million, according to Nanfang+.

Of which, the subsidy standards of RMB4,000 and RMB5,000 each have a fund limit of RMB150 million, with 37,500 and 30,000 quotas respectively.
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American billionaire Elon Musk said at a company-wide meeting held at the headquarters of xAI in San Francisco last week that xAI will surpass all competitors if it can endure the next 2-3 years, according to foreign media reports.

Sources revealed that Musk hailed xAI's receipt of an annual fund of around USD20-30 billion and close ties with his other companies, edges that make it advantageous over other AI companies. Previously, Tesla (TSLA.US) had integrated the Grok model developed by xAI into its vehicles.

It is also said that Musk estimated xAI to achieve general AI that reaches or surpasses human intelligence within a few years, possibly as early as next year.
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Alphabet (GOOGL.US)'s Google is advancing a project codenamed TorchTPU, Reuters quoted sources as saying.

This initiative aims to make its TPU AI chips better suited for the world's most widely used AI software framework, PyTorch, ensuring full compatibility with customers who have already built their technology architecture based on PyTorch, with an effort to make its TPU a viable alternative to Nvidia (NVDA.US)'s GPU.

PyTorch is an open-source project supported by Meta Platforms (META.US), and is one of the most commonly used tools by AI model developers. The project consists of a set of pre-written code libraries and frameworks that automate many common tasks in developing AI software.
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