In the wake of OpenAI’s November 2022 release of its GPT 3.5 model, the United States appeared to have a commanding lead in AI technology, with subsequent models from Meta, Anthropic, and Google reinforcing this position. However, the January 20 announcement of a high-performing model developed by Hangzhou-based DeepSeek demonstrated that China is rapidly catching up with its US competitors, leading observers to compare this situation to a ‘Sputnik moment.’
The Paris AI Action Summit—held a short three weeks after the DeepSeek release—confirmed that we are indeed in an AI arms race, with near universal invocations for a more aggressive pace of innovation and relative silence on regulation. In fact, the summit’s “AI Action Summit” branding suggested a shift towards urgency and action over caution. Vice President JD Vance, in his Paris speech, emphasized the need to move away from risk aversion, stating, “When conferences like this convene to discuss cutting-edge technology, oftentimes I think our response is to be too self-conscious, too risk averse. But never have I encountered a breakthrough in tech that so clearly calls us to do precisely the opposite”. Furthermore, the US and the UK refused to sign a watered-down Statement on Inclusive and Sustainable Artificial Intelligence.
The Paris Summit’s choice of location served as an inconvenient contrast between increasingly advanced US and Chinese innovation versus technological stagnation in Europe. According to McKinsey, Europe lags behind the US and China in adopting practical AI applications, such as facial recognition, voice recognition, and fintech. This stagnation is most clearly manifested by the fact that no EU company founded in the past 50 years has a market capitalization exceeding €100 billion, while all six US companies valued above $1 trillion were created during this period.
The question remains whether Europe can adapt to this rapidly changing environment. With talented engineers and AI labs like Mistral, which plans to invest billions in its own data centre, Europe has the potential to compete. However, significant regulatory and infrastructural hurdles must be overcome to do so. The continent’s fragmented digital markets and lack of unified data policies hinder its ability to compete globally.
Like Europe benefited from US nuclear technology and military infrastructure during Cold War-era competition, European application developers can leverage America’s foundational AI models. However, Europe must still decide whether to maintain its current path or rise to the challenge of becoming a competitive force in the global AI landscape. The stakes are high, and the decisions made now will shape the future of AI development worldwide.
