France, Energy Leader for AI in Europe

France, a Strategic Choice for AI Data Centers

While Germany has chosen to shut down its nuclear power plants, France has kept its own operational. This strategic decision has allowed companies like MGX and Mistral to select Paris for their AI data centers, rather than Munich. This choice is not trivial and reveals crucial energy stakes.

In the global race for artificial intelligence, access to cutting-edge chips like the H100 or Blackwell orders from Nvidia is often highlighted. However, an equally essential but less publicized aspect is the energy supply for these chips.

High-performance GPUs consume about 700 W each, while an entire rack can require between 30 and 60 kW. An AI data center campus demands continuous power in the tens of megawatts, 24 hours a day. To power these infrastructures, a stable, abundant, economical, and low-carbon energy source is necessary. France possesses this resource, the result of thirty years of coherent energy policies.

Energy, a Key Factor for AI

According to the "Energy and AI" report by the IEA published in 2025, the electricity consumption of data centers is expected to rise from 415 TWh in 2024 to 945 TWh by 2030, representing nearly 3% of global demand. For AI data centers specifically, this consumption is projected to triple. In Europe, an increase of 45 TWh is anticipated by 2030, marking a 70% rise compared to 2024.

In the next five years, renewable energies are expected to cover nearly half of this additional demand, with the remainder supplied by gas and coal. The IEA emphasizes that the technology sector is becoming a major driver for nuclear and advanced geothermal energy. American hyperscalers have already begun signing long-term contracts with nuclear operators.

For a player looking to host an AI training cluster in Europe, three criteria are essential: latency, water for cooling, and the cost of MWh over 10 years. On this last point, France stands out significantly.

French Nuclear Production in 2025

According to the RTE electricity report for 2025, published on February 25, 2026, France produced 373 TWh of nuclear electricity, an increase of 11.3 TWh compared to 2024. Total production in metropolitan France amounts to 547.5 TWh, with nuclear covering nearly 68% of this output. Low-carbon production reached 521.1 TWh, or 95.2% of the energy mix, a historic record. Additionally, fossil thermal production has hit its lowest level in 75 years.

In terms of costs, Eurostat figures for the second half of 2025 show that Germany had a price of 22.64 c€/kWh for businesses, one of the highest in the EU, and about 23% above the European average of 18.37 c€/kWh. In France, non-domestic prices fell by -14.1% year-on-year, one of the largest decreases in Europe, while the EU average only dropped by -5.4%. This gap between France and Germany is particularly significant for AI data centers operating on a long-term basis.

Germany and Its Energy Transition

On April 15, 2023, Germany shut down its last three nuclear power plants: Emsland, Isar II, and Neckarwestheim II, a decision made in the 2000s and confirmed after the Fukushima accident. Although this transition did not lead to an immediate price shock, Germany has achieved records in renewable energy and reduced its coal consumption to its lowest level in 60 years.

However, for industry, electricity remains more expensive than in France, and the German grid relies more on intermittent renewables and gas, which are less suited to the constant load of an AI data center. Industry players are aware of this, and France is increasingly appearing on shortlists for the establishment of new European campuses.

The Economic Impact of AI on SMEs

As the head of marketing for a B2B SME, I manage an infrastructure composed of about 17 MCP servers, an AI editor, API Search Console, automated Lighthouse audits, and visual generation via Gemini. Every operation, whether it involves model queries, embeddings, or image generation, relies on a data center somewhere, which is reflected in the bills.

For a B2B SME aiming to provide a comprehensive marketing service with a small team and AI, the cost of compute is crucial. This cost directly depends on the price of MWh in the region where the servers are located. Thus, the location of workloads influences both the viability of the business model and the choice of AI model.

The EPR2 Project: A Massive Investment

On February 10, 2022, in Belfort, Emmanuel Macron announced the construction of six new EPR2 reactors of 1.6 GW, with an option for eight more. The sites chosen for the first three pairs are Penly in Normandy, Gravelines in Hauts-de-France, and Bugey in Auvergne-Rhône-Alpes.

By April 2025, EDF estimated the cost of the program at €72.8 billion for the first six reactors. The first nuclear concrete is expected in March 2029, with the first EPR2 at Penly anticipated to be operational by 2038. The final investment decision is expected by the end of 2026.

Although this project is costly and controversial, it addresses the need for an electrical system capable of supporting the growth of AI without destabilizing the grid. The 2038 timeline aims to anticipate energy needs for the 2040s.

Mistral AI and the AI Summit: A Thriving Ecosystem

Energy infrastructure alone is not enough. Talent, investment, and a market are also required. On these fronts, France has made rapid progress.

Mistral AI was founded in Paris in April 2023 by three French researchers from prestigious laboratories: Arthur Mensch, a former Google DeepMind employee, Guillaume Lample, and Timothée Lacroix, former Meta AI Research. By September 2025, Mistral was valued at €12 billion after a funding round of €2 billion, including $1.5 billion from ASML.

Two years after its creation, Mistral has become the largest AI startup in Europe, with competitive open models like Mistral Large, Mixtral, and Codestral. In March 2026, the company raised $830 million in debt to finance a data center in Bruyères-le-Châtel.

The AI Action Summit: A Turning Point

At the AI Action Summit at the Grand Palais in February 2025, France announced €109 billion in private commitments, comparable to the American Stargate plan. 61 countries signed the final declaration for inclusive and sustainable AI, although the United States and the United Kingdom did not sign.

Macron's phrase, "We don't need to drill baby, drill, here we just plug baby, plug!", resonated, highlighting the importance of low-carbon energy for the development of AI.

Abu Dhabi Chooses France for Its AI Campus

On May 19, 2025, a joint venture was announced to build the largest AI campus in Europe, bringing together MGX, Bpifrance, Mistral AI, and NVIDIA. With a planned capacity of 1.4 GW, this campus will be located in the Paris region, with commissioning starting from 2028.

This geographical choice is significant, showing that even a sovereign fund from the Gulf prefers to invest in France for its AI infrastructure rather than in other regions of the world.