Chinese tech conglomerates, including Alibaba and ByteDance, are shedding gaming assets to fund massive artificial intelligence infrastructure. Meanwhile, researchers warn that rapid advancements in artificial intelligence models could eventually pose severe existential risks to humanity if left unchecked by sufficient safeguards.
Corporate Divestments Fuel Massive Artificial Intelligence Infrastructure Push
Chinese technology leaders are aggressively restructuring their portfolios to fund the global generative AI market. Companies are divesting peripheral holdings—such as Alibaba’s gaming developer Lingxi Games and ByteDance’s Shanghai Moonton—to channel capital into data center buildouts, artificial general intelligence (AGI), and cloud services, as reported by Nikkei Asia.
Massive capital is being redirected from legacy consumer and entertainment ventures into data center buildouts, artificial general intelligence (AGI), and cloud services. Tencent is scaling back external media partnerships to preserve focus and capital. Leading Chinese technology conglomerates are undergoing major portfolio restructurings, paring back video game studios and physical retail assets to channel financial resources into the global generative AI market. The industry-wide shift comes as executive suites prioritize artificial general intelligence infrastructure over multi-industry expansion, Nikkei Asia reported.
Private equity buyout firms and sovereign investment vehicles have increasingly absorbed these consumer assets as tech companies free up cash. Private equity firm Trustar Capital, linked to the state-affiliated conglomerate CITIC, announced an agreement to purchase Alibaba Group Holding’s gaming division, Lingxi Games, at a minimum of $1.5 billion, Bloomberg reported. Alibaba originally acquired the predecessor to Lingxi Games in 2017 for about 1 billion yuan ($148 million) to strengthen its digital media ecosystem.
Financial Inflections and Capital Expenditure Surges at Alibaba
Corporate priorities at Alibaba have shifted sharply toward next-generation computing. In a May address to shareholders, Alibaba Chairman Joe Tsai and CEO Eddie Wu said the company had reached an inflection point in AGI development.
To support this strategic direction, Alibaba expanded its capital expenditures. For the fiscal year ending March 31, the company’s capital spending surged 47% to 126 billion yuan, driven largely by cloud computing expansions and data center infrastructure.
Broader Industry Shifts Across ByteDance and Tencent
This divestment pattern extends across the domestic tech landscape. ByteDance agreed to divest game developer Shanghai Moonton Technology to a firm owned by Saudi Arabia’s Public Investment Fund. Founded in 2014, Moonton established a strong foothold in Southeast Asian mobile gaming, but underperforming earnings prompted ByteDance to seek a buyer and redirect focus to its own data centers and AI capabilities.

Meanwhile, Tencent Holdings, which maintains gaming as a primary pillar, has become far more selective in deploying capital, Nikkei reported. The firm dissolved a long-standing capital tie-up with Japanese studio Marvelous, reducing its ownership position from a 20% stake obtained in 2020 to under 1%, signaling a market-wide trend toward leaner operations focused on next-generation computing.
Existential Fears and Safety Warnings in Artificial Intelligence Labs
While corporate giants pour billions into infrastructure, parallel concerns mount within research labs regarding the speed of technological advancement. Researchers and officials in American companies have renewed warnings that future superintelligent models could become difficult to contain, potentially threatening human existence in extreme scenarios.
Hundreds of industry experts and researchers signed a 2023 statement warning about the risk of AI-related extinction, urging governments to treat these risks with the same seriousness as pandemics and nuclear weapons.
Statement on AI extinction risk
AI experts and industry officials
Russell noted that an uncontrolled system could use robotics for dangerous ends.
Manufacturing and deploying new pathogens
Stuart Russell, University of California, Berkeley
Internal friction is also surfacing within top labs. Jacob Coxon, aged 27, resigned from Anthropic, stating that the risks are well understood,
but concluding that major labs have become trapped in a race to reach the most advanced systems first.
