Alibaba Group Holding Ltd. (NYSE: BABA) is reportedly offloading its gaming unit, Lingxi Games, to Asian private-equity firm Trustar Capital for a minimum of $1.5 billion. The transaction is part of Alibaba’s strategy to sharpen its focus on artificial intelligence (AI) and e-commerce by divesting non-core assets.

Lingxi Games Chief Executive Zhou Bingshu stated that the sale aligns with Alibaba’s overall roadmap. The Wall Street Journal reported on Monday, citing an internal memo, that the exact transaction size was not disclosed beyond the minimum figure. Alibaba stock rose 1.08% during Monday pre-market trading.

Strategic Shift Toward AI

The divestiture coincides with significant expansion in Alibaba’s AI sector. Over the last six months, Alibaba’s AI model downloads have surpassed those of Meta Platforms Inc. (NASDAQ: META) and Alphabet Inc. (NASDAQ: GOOG). The company now hosts more than 460 open-source models, the largest collection globally, which have generated over 300,000 derivatives.

Adoption has accelerated after Apple Inc. (NASDAQ: AAPL) began using Alibaba’s models in China. Apple is reportedly developing its own AI models for the Chinese market with Alibaba’s support.

Portfolio Streamlining

Alibaba has been systematically reducing exposure to non-core businesses to free up capital for high-growth areas. In late 2024, the company sold stakes in Sun Art and Intime for a combined $2.6 billion. This follows a similar pattern seen elsewhere in the tech sector, such as ByteDance’s earlier sale of its gaming studio Moonton.

What the Numbers Show

The scale of Alibaba’s recent divestitures highlights a clear capital reallocation strategy. The reported minimum value of the Lingxi Games sale ($1.5 billion) represents approximately 58% of the combined $2.6 billion raised from the Sun Art and Intime stake sales in late 2024. This indicates that gaming remains a substantial asset class for the group, even as it exits the sector to fund AI infrastructure, evidenced by the massive derivative generation from its open-source model library.

Alibaba Group Holding Limited (NYSE: BABA; HKEX: 9988) will announce its unaudited financial results for the quarter ended June 30, 2026, before the U.S. market opens on Thursday, August 20, 2026. This disclosure provides investors with critical insight into the company’s performance in AI + Cloud and consumption segments during the second quarter of fiscal year 2027. The announcement precedes a conference call scheduled for 7:30 a.m. U.S. Eastern Time (7:30 p.m. Hong Kong Time) on the same day, where management will discuss the financial outcomes.

Conference Call Details

All participants must pre-register to join the conference call. Upon registration, each participant will receive dial-in numbers, a conference call passcode, and a unique access PIN. To join, participants must dial the provided number, enter the passcode, followed by their PIN.

A live webcast of the earnings conference call can be accessed at https://www.alibabagroup.com/en/ir/earnings . An archived webcast will be available through the same link following the call. A replay of the conference call will be available for one week from the date of the conference. The dial-in number for the replay is +1 855 883 1031; the English conference PIN is 10055637, and the Chinese conference PIN is 10055638.

Investor Resources

Investors are advised to visit Alibaba Group’s Investor Relations website at https://www.alibabagroup.com/en/ir/home on August 20, 2026, to view the earnings release and accompanying slides prior to the conference call. This allows stakeholders to review the detailed financial data before management’s commentary.

Alibaba Group is a global technology company focused on AI + Cloud and consumption. It provides technology infrastructure and marketing reach to help merchants, brands, retailers, and other businesses engage with users and operate efficiently. The company empowers consumers and enterprises with full-stack AI capabilities and services. Its AI technology, based on Qwen (Chinese: Qianwen), a family of large language and multimodal models, powers intelligence behind services across enterprise solutions, e-commerce, and other Internet platforms.