US AI Export Controls Could Backfire, Impacting Southeast Asian Cloud Markets

The United States' proposed expansion of export controls to include 'remote access' to AI technologies could inadvertently bolster Chinese cloud operators, potentially displacing U.S. tech globally. This move, aimed at preventing adversarial nations from training AI models using U.S. cloud infrastructure, faces scrutiny for its potential unintended consequences. Reports have indicated China's use of cloud computing infrastructure in Southeast Asian nations like Singapore to circumvent U.S. export bans on advanced AI chips. The proposed Remote Access Security Act (RASA) seeks to close this 'cloud compute loophole' by authorizing the U.S. government to regulate not only the export of AI capabilities but also their usage. This is a logical extension of existing hardware and software export controls, intended to prevent U.S. adversaries from accessing American technologies for AI model training. However, historical precedents suggest that such restrictive policies might not yield the desired outcomes. For instance, when the Trump administration tightened export controls on specific Nvidia chips in April 2025, the industry warned that it would accelerate China's adoption of domestic alternatives. The administration later reversed course, but China's response was to delay or block purchases of U.S. chips, favoring its burgeoning domestic suppliers like Huawei and Cambricon. Nvidia founder Jensen Huang later lamented a "zero" market share in China. While there are valid reasons to restrict the export of advanced AI chips and manufacturing technologies to adversaries, AI chips and cloud services are distinct. Moreover, heavy-handed restrictions on U.S. cloud and facility operators, who dominate the global market, could be devastating. If legislation like RASA forces these companies to deny services to broad categories of legitimate commercial users, rather than targeting specific bad actors, it could drive users and friendly nations to reduce their dependence on U.S. firms. Instead, these third parties might build their own AI ecosystems around Chinese technologies or turn to Chinese cloud providers such as Huawei Cloud and AliCloud. This would represent a significant setback for the U.S. goal of exporting its full-stack AI technology package. The underlying principle is that China ultimately seeks to develop its own indigenous firms to displace American leaders globally. Therefore, U.S. policy must be carefully designed to avoid indirectly aiding Beijing's objectives. In the highly competitive global AI race, the focus should be on maintaining U.S. technological leadership, ensuring an open global market for American firms, and making U.S. technology the preferred choice worldwide. Overly cautious measures aimed solely at slowing adversaries could inadvertently slow down U.S. progress. For countries like Indonesia, which are rapidly developing their digital economies, access to robust and competitive cloud infrastructure is crucial. The evolving U.S. export control landscape could have indirect implications for Indonesia's technology supply chains and domestic digital service providers.