Beijing’s scrutiny of AI deals raises risks for foreign buyers

Beijing has escalated scrutiny of cross-border purchases targeting China-origin artificial intelligence and other advanced-technology companies, signaling a sharper regulatory tilt that increases legal and commercial risk for foreign buyers. Authorities are widening the scope of national security and data reviews to include not just onshore transactions but deals structured through third jurisdictions, a practice commonly called Singapore-washing.

Regulators’ concerns center on three areas: transfer of core algorithms and high-value know-how, cross-border flows of data and personal information, and the circumvention of Chinese controls when firms relocate corporate domicile offshore before sale. China’s Personal Information Protection Law and Data Security Law, both adopted in 2021, underpin these reviews by setting stricter thresholds for cross-border data transfers and by giving authorities broad discretion to classify certain technology and data as critical to national security.

The instruments used are familiar to dealmakers: the Ministry of Commerce’s national security review can scope acquisitions that threaten public security; the Cyberspace Administration of China can require data security assessments; and a range of sectoral regulators can demand conditions or block access to domestic markets. What has changed is the increased attention to corporate structure and place of incorporation. Transactions structured through Singapore or other regional hubs are now drawing deeper examination to determine ultimate beneficial ownership, loci of R&D, and where training datasets are stored.

For foreign acquirers, the immediate market implications are tangible. Deal timelines are lengthening as firms must factor in multi-agency reviews; buyers face higher transaction costs from extensive legal and technical due diligence; and post-closing integration carries the risk of operational constraints or mandated divestitures. Investment bankers and legal advisers report tougher negotiation stances from sellers who must secure regulatory approvals in multiple jurisdictions before closing, eroding deal certainty and often lowering valuations.

At a macroeconomic level, Beijing’s stance fits a broader global pattern of technology sovereignty and regulatory competition. Policymakers in the United States and European Union have introduced parallel controls on outbound transfers of sensitive technology and foreign investment screening. China’s approach, however, targets the cross-border routes once used to preserve market access while transferring advanced capabilities abroad. The effect may be to accelerate fragmentation in key technology supply chains as firms and investors shift to regional hubs, dual-listing structures, or onshoring of sensitive activities.

Policy trade-offs are evident. Tighter controls aim to protect strategic capabilities and sensitive data, but they risk chilling foreign direct investment into cutting-edge sectors and deterring the open exchange of talent and capital that has historically driven innovation. For U.S. and other foreign acquirers, the calculus of returns must now internalize regulatory tail risk: longer hold periods, conditional approvals, and possible limits on commercialization in China.

Longer term, expect companies to build more robust compliance architectures, to keep R&D and raw data segmented, and to favor joint ventures or local partnerships where full ownership invites review. For policymakers, the challenge will be to articulate clearer, predictable rules that balance security concerns with the investment certainty needed to sustain high-value technology ecosystems. Without that clarity, cross-border dealmaking in AI and advanced technology will increasingly migrate to structures that prioritize regulatory resilience over pure commercial logic.