On a bright morning in Prague or Budapest, you could be forgiven for missing the quiet but pervasive shift underway. It is not a political coup or a military confrontation, but something subtler: the steady expansion of China’s artificial intelligence (AI) influence across Central and Eastern Europe (CEE). DeepSeek, Alibaba’s Qwen, and other Chinese AI pioneers are making strategic inroads, offering technological advancements that promise efficiency gains, economic modernization, and research collaboration. The question is not whether CEE countries should engage, but how to balance opportunity with sovereignty risks – and at what cost.
For years, China’s presence in CEE was defined by physical infrastructure: bridges, railways, and highways under the Belt and Road Initiative (BRI). Today, the battleground has shifted to the digital realm through the Digital Silk Road (DSR), with AI, cloud computing, and smart cities taking center stage. Chinese tech is now deeply embedded in CEE’s digital backbone: Huawei dominates Hungary’s 5G networks and partners with its National University on AI research, Alibaba’s cloud services optimize Polish logistics via a $65M DHL partnership, and DeepSeek’s models enhance automation for Chinese automakers like BYD operating in the region.
The economic appeal is undeniable. DeepSeek-R1’s low-cost AI promises to trim industrial inefficiencies – a lure for countries like Hungary, which hosts Huawei’s European supply hub and CATL’s $8.2B EV battery plant. Poland, meanwhile, leverages Alibaba Cloud’s data analytics for healthcare and logistics.
On the surface, it’s a win-win: CEE nations gain cutting-edge tech without the EU’s regulatory delays. Yet beneath lies a Faustian bargain – every Huawei router or Alibaba cloud server consolidates Beijing’s influence. As Hungary’s foreign minister stated, “Nobody should be excluded based on their country of origin,” but CEE counties cannot ignore that China’s tech comes with tacit control over data flows and infrastructure.
To engage with Chinese AI is to navigate a dense web of dependencies and geopolitical risk. Under China’s 2017 Cybersecurity Law, companies – including foreign entities – must share data with state authorities upon request, transforming tools like DeepSeek or Huawei’s 5G infrastructure into potential conduits for information gathering.
The Baltic states, wary of Beijing’s reach, have drawn clear lines. Estonia and Lithuania banned Huawei from critical networks and mandated data localization for sensitive sectors, while Latvia aligns with EU 5G security guidelines. Beyond the Baltics, however, responses in CEE fracture. Serbia’s digital infrastructure, built on Huawei AI systems since 2020, exemplifies deep reliance, while Hungary actively courts AI and semiconductor collaborations with China.
The real danger lies not just in data leaks but in systemic alignment with China’s technological standards. As seen in Serbia – where Huawei’s AI platforms anchor critical infrastructure with minimal local R&D – CEE nations risk becoming permanent clients rather than innovators. First-mover advantage compounds this: Chinese firms like DeepSeek and Huawei set the rules for AI deployment, leaving little room for homegrown alternatives.
An alternative path exists but demands unity. A CEE AI consortium, pooling resources for regional cloud infrastructure and talent development, could reduce dependency. Regulatory alignment with Brussels’ AI Act would enforce ethical guardrails, while partnerships with South Korea (e.g., Samsung’s Budapest R&D hub) and Japan (Toyota’s stake in Croatian AI startups) offer technological counterweights.
Yet leadership remains fractured. Poland, though historically a regional driver, hesitates amid China-U.S. tensions, with its AI sector squeezed between U.S. chip sanctions and Beijing’s allure. Hungary’s Viktor Orban, meanwhile, openly champions Chinese partnerships, recently upgrading ties to an “all-weather” strategic status. The Baltics, though vocal in advocating EU-centric tech policies, lack the economic heft to sway larger neighbors. Without coordinated vision, CEE’s AI future may be decided by default rather than design.
The choices made today will determine whether Central and Eastern Europe becomes an innovation hub or a digital dependency. AI, like all transformative technologies, does not arrive neutrally. It comes embedded with governance models, political influence, and long-term strategic implications.
The EU may continue to debate AI ethics and regulatory frameworks in Brussels committee rooms, but meanwhile, Chinese AI firms are embedding themselves deeper into CEE economies. The risk is not an immediate crisis but a gradual erosion of technological sovereignty. If CEE nations want to chart their own path, they will need more than investment – they will need strategy, coordination, and the political will to choose wisely.
The future of AI in CEE is not just a technological question. It is a question of power.