US-China Tech War Drives Amazon, McKinsey AI Pullback from China

US-China tech rivalry prompts Amazon and McKinsey to curb AI development in China, signaling a strategic decoupling.

July 23, 2025

US-China Tech War Drives Amazon, McKinsey AI Pullback from China
A deepening technological divide between the United States and China is prompting major American technology and consulting firms to curtail their artificial intelligence operations in mainland China, signaling a significant strategic shift in the global AI landscape. Amazon Web Services has confirmed the closure of its AI research lab in Shanghai, a move that coincides with reports that consulting giant McKinsey & Company has prohibited its China-based offices from engaging in generative AI projects for clients. These developments underscore the growing impact of U.S. government pressure and escalating geopolitical tensions on corporate strategies in the world's second-largest economy.
Amazon’s decision to shutter its seven-year-old AWS AI Shanghai Lablet was framed by the company as a difficult business decision resulting from a review of its organization and priorities.[1] However, a senior scientist at the lab, Wang Minjie, offered a more direct explanation on social media, stating the team was "being dissolved due to strategic adjustments amid US-China tensions."[2][3] The Shanghai lab, established in 2018, was AWS's only AI research group outside of the United States and played a notable role in open-source projects like the Deep Graph Library and fundamental research on graph neural networks.[1][4] Over its tenure, the lab published over 100 academic papers and developed an open-source framework that reportedly contributed nearly $1 billion in revenue for Amazon.[5][6] While the exact number of employees affected by the closure has not been disclosed, Amazon has committed to supporting them through the transition.[1] This move is part of a broader trend of Western tech companies scaling back their research and development activities in China. Microsoft, for instance, previously closed its IoT & AI Insider Lab in Shanghai and offered relocation packages to hundreds of its China-based AI staff.[1] Similarly, IBM has also downsized its research operations in the country.[1][5]
In a parallel development reflecting the same geopolitical pressures, McKinsey & Company has reportedly instructed its mainland China business to avoid projects involving generative AI.[7][8] This directive, which extends to work with multinational clients' offices in China, is said to be a response to increasing scrutiny from the U.S. government over American companies operating in sensitive tech sectors within China, such as AI and quantum computing.[7][9][8][10] The ban, however, does not apply to more established forms of artificial intelligence.[9][8] McKinsey, which employs over 1,000 people in China across six locations, has stated that it follows the "most rigorous client selection policy" in its profession and continuously evolves its approach.[7][11] This self-imposed restriction on generative AI projects highlights the difficult position multinational consulting firms find themselves in as they navigate the complex and often conflicting regulatory and political environments of the world's two largest economies.[10][11] The move could potentially limit McKinsey's participation in China's rapidly growing AI market, which is projected to exceed $30 billion by 2026.[10]
The actions by Amazon and McKinsey are not isolated incidents but rather symptoms of a much larger and more complex issue: the escalating tech rivalry between the U.S. and China. Washington has implemented a series of increasingly stringent export controls aimed at restricting China's access to advanced semiconductor technology, which is crucial for developing sophisticated AI models.[12][13][14] These controls have targeted high-performance chips and the equipment needed to manufacture them, affecting not only U.S. companies like Nvidia but also key international players in the semiconductor supply chain.[15][13] The U.S. government's rationale is rooted in national security concerns, specifically the potential for China to leverage advanced AI for military purposes.[14][16] This has created a challenging environment for American companies operating in China, forcing them to make difficult decisions about their research and business activities in the country.[6] The "high fence" approach of limiting access to key technologies is a cornerstone of the U.S. strategy to maintain its technological edge.[17]
The retreat of American tech firms could create a vacuum that Chinese companies are eager to fill. While U.S. export controls have undoubtedly created hurdles for China's AI development, they have also spurred a concerted effort within the country to achieve technological self-sufficiency.[5][18] China has demonstrated a remarkable ability to adapt and innovate within these constraints, focusing on practical AI applications and leveraging its vast domestic market.[12] The Chinese government has designated AI as a strategic priority and is investing heavily in domestic research and development to close the technology gap with the U.S.[19][20] The rise of Chinese AI firms like DeepSeek and the country's vibrant AI ecosystem suggest that despite the restrictions, China remains a formidable competitor in the global AI race.[19][21]
In conclusion, the closure of AWS's Shanghai AI lab and McKinsey's ban on generative AI projects in China are clear indicators of a broader strategic decoupling in the technology sector. Driven by geopolitical tensions and a U.S. policy aimed at curbing China's technological advancement, American companies are increasingly finding it untenable to maintain the same level of research and development collaboration in China as they once did. This trend is reshaping the global AI landscape, potentially slowing the pace of collaborative innovation while intensifying the competition for technological supremacy. As the U.S. and China continue on their divergent paths, the implications for the future of artificial intelligence—from research and development to global standards and applications—will be profound and far-reaching.[10]

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