Aiman Ezzat, CEO of Capgemini, has criticised the European Union’s AI regulations, claiming they are overly restrictive and hinder the ability of global companies to deploy AI technology in the region. His comments come ahead of the AI Action summit in Paris and reflect increasing frustration from private sector players with EU laws. Ezzat highlighted the complexity of navigating different regulations across countries, especially in the absence of global AI standards, and argued that the EU’s AI Act hailed as the most comprehensive worldwide, could stifle innovation.
As one of Europe’s largest IT services firms, Capgemini works with major players like Microsoft, Google Cloud, and Amazon Web Services. The company is concerned about the implementation of AI regulations in various countries and how they affect business operations. Ezzat is hopeful that the AI summit will provide an opportunity for regulators and industry leaders to align on AI policies moving forward.
Despite the regulatory challenges, Ezzat spoke positively about DeepSeek, a Chinese AI firm gaining traction by offering cost-effective, open-source models that compete with US tech giants. However, he pointed out that while DeepSeek shares its models, it is not entirely open source, as there is limited access to the data used for training the models. Capgemini is in the early stages of exploring the use of DeepSeek’s technology with clients.
As concerns about AI’s impact on privacy grow, European data protection authorities have begun investigating AI companies, including DeepSeek, to ensure compliance with privacy laws. Ezzat’s comments underscore the ongoing tension between innovation and regulation in the rapidly evolving AI landscape.
France is set to announce private sector investments totalling around 109 billion euros ($112.5 billion) in its AI sector at the Paris AI summit, according to President Emmanuel Macron. The investment package includes 20 billion euros from Canadian investment firm Brookfield and up to 50 billion euros from the United Arab Emirates, which will also fund a 1-gigawatt data centre.
Brookfield’s investment is expected to focus on developing data centre infrastructure, crucial for AI technology that requires massive amounts of energy to operate.With the demand for AI technology rising, Europe is aiming to secure necessary investments to meet the growing need for energy and infrastructure.
This comes amid global competition, as US President Donald Trump recently announced that companies like OpenAI, SoftBank, and Oracle would invest $500 billion in AI infrastructure over the next four years to ensure the US stays ahead in the global AI race.
Oracle has introduced new AI features to its NetSuite corporate finance software, aiming to streamline common business tasks. Unlike competitors focused on developing general-purpose AI assistants, Oracle is integrating targeted tools to automate tedious processes. One of the latest additions helps generate price quotes for complex purchases through chatbot-driven interactions, making it easier for businesses and consumers to configure products like customised bicycles.
The AI-powered quoting tool allows sales professionals to quickly compile prices based on customer requirements, reducing time spent on manual calculations. Oracle‘s approach focuses on enhancing efficiency rather than competing in the race to build massive AI models. Instead, the company partners with firms like Canadian startup Cohere to power its AI tools.
Oracle’s recent collaboration with OpenAI to build large data centres has raised speculation about further AI partnerships. While no formal announcements have been made, Oracle executives have indicated a willingness to work with OpenAI in the future. The company’s AI strategy prioritises practical applications that help businesses close deals faster and lower operational costs.
Meta has launched a new initiative with UNESCO to enhance AI language recognition and translation, focusing on underserved languages. The Language Technology Partner Program invites collaborators to provide speech recordings, transcriptions, and translated texts to help train AI models. The finalised models will be open-sourced, allowing broader accessibility and research.
The government of Nunavut in Canada is among the early partners, contributing recordings in Inuktut, a language spoken by some Indigenous communities. Meta is also releasing an open-source machine translation benchmark to evaluate AI performance across seven languages, available on Hugging Face.
While Meta presents the initiative as a philanthropic effort, improved AI language tools could benefit the company’s broader goals. Meta AI continues to expand multilingual support, including automatic translation for content creators. However, the company has faced criticism for its handling of non-English content, with reports highlighting inconsistencies in content moderation across languages.
More than 100 organisations, including Amnesty International and the AI Now Institute, have called on the AI industry and regulators to address the technology’s growing environmental impact. In an open letter published ahead of a major AI conference in Paris, the signatories highlight concerns over emissions, reliance on fossil fuels, and resource depletion caused by AI infrastructure.
The letter urges tech companies and governments to ensure that data centres operate without fossil fuels, warning that electricity demand from AI could double by 2026, reaching levels equivalent to Japan‘s annual consumption. The expansion of AI infrastructure is also straining water and land resources, with data centres requiring vast amounts of water for cooling and humidity control. Transparency on AI’s full environmental impact is another key demand.
Despite these warnings, the US government appears committed to AI expansion, with President Donald Trump pushing for faster approvals of new power stations, including those reliant on coal. The letter’s signatories stress that unchecked AI growth disproportionately affects communities most vulnerable to climate change and call for a shift towards responsible and sustainable AI development.
OpenAI announced on Thursday that it is evaluating US states as potential locations for data centres supporting its ambitious Stargate project, which aims to secure the US’s lead in the global AI race. The project is seen as crucial for ensuring that AI development remains democratic and open, rather than falling under authoritarian control, according to Chris Lehane, OpenAI’s chief global affairs officer.
Stargate, a venture backed by SoftBank, OpenAI, Oracle, and other investors, is set to receive up to $500 billion for AI infrastructure. A significant portion of this investment, $100 billion, will be deployed immediately, with the rest scheduled over the next few years. Texas has been designated as the flagship location for Stargate’s data centres. An initial site under construction in Abilene is expected to begin operations later this year.
The announcement follows the rise of DeepSeek, a Chinese AI model that challenges the traditional view that AI development requires large, specialised data centres. DeepSeek’s use of cheaper chips has raised concerns among investors, leading to a significant drop in tech stock values, including a record $593 billion loss for Nvidia, the leading AI chipmaker.
OpenAI is considering data centre locations in approximately 16 states, with plans to expand the Stargate network to five to ten campuses in the coming months.
Vice President JD Vance will lead the US delegation to a major AI summit in Paris next week, but technical staff from the AI Safety Institute will not be included. Around 100 countries will take part in discussions on AI’s potential during the event on 10 and 11 February.
Representatives from the White House Office of Science and Technology Policy will attend, including Principal Deputy Director Lynne Parker and Senior Policy Advisor Sriram Krishnan. However, the Trump administration has scrapped plans for officials from the Commerce and Homeland Security departments to join, including members of the AI Safety Institute.
The institute, created under former President Joe Biden, focuses on AI risk mitigation and has collaborated with companies like OpenAI and Anthropic. Its future under the new administration remains uncertain, especially following Trump’s decision to revoke a Biden-era AI executive order.
The absence of Commerce Department officials may reflect ongoing transitions following the 20 January inauguration. The Paris summit will focus less on AI dangers than previous meetings in Bletchley Park and Seoul, a topic dismissed by some in the technology sector.
France and the United Arab Emirates have reached an agreement to develop a 1 gigawatt artificial intelligence data centre, with investments estimated between $30 billion and $50 billion. President Emmanuel Macron met with Emirati leader Sheikh Mohamed bin Zayed al-Nahyan in Paris to discuss the project, ahead of an upcoming AI summit.
The February 10-11 summit will bring together representatives from around 100 countries, aiming to highlight France and Europe’s role in the AI sector. The initiative is part of broader efforts to compete with the US and China, which currently dominate the industry. Both nations expressed their commitment to strategic AI collaboration and future investments in the sector.
Planned investments will cover AI advancements in France and the UAE, including high-performance chips, data centres, and talent development. The agreement also involves creating virtual data embassies to strengthen cloud and AI sovereignty. The first investment announcements are expected at the Choose France summit later this year.
The French government has identified 35 potential sites for AI data centres, supporting the country’s ambition to become a major AI hub.
Chinese Vice Premier Zhang Guoqing will visit France from Sunday until February 12 to attend the AI Action Summit as a special representative of President Xi Jinping. The summit will bring together representatives from nearly 100 countries to discuss the safe development of AI.
A foreign ministry spokesperson, Lin Jian, said China is eager to strengthen communication and collaboration with other nations at the event. China also aims to foster consensus on AI cooperation and contribute to the implementation of the United Nations Global Digital Compact.
Vice President JD Vance is leading the US delegation to the summit, but reports suggest that the US team will not include technical staff from the AI Safety Institute.
Sberbank, Russia’s largest bank, has announced plans to collaborate with Chinese researchers on AI projects. The move comes as China’s DeepSeek has disrupted the global tech industry with its low-cost AI models, challenging US rivals like Nvidia. Sberbank, which has transformed from a Soviet-era state savings bank into a major AI player under CEO German Gref, aims to leverage its network of scientists to join forces with China’s AI researchers.
Sberbank’s First Deputy CEO, Alexander Vedyakhin, confirmed the plans but refrained from naming specific Chinese partners. DeepSeek, a startup based in Hangzhou, has gained significant attention for its ability to produce advanced AI models at a fraction of the cost of American counterparts. This development could further fuel competition in the AI sector, especially amid growing tensions between the West and nations like Russia and China.
The strategic partnership between Russia and China is deepening, with both countries emphasising AI as a key area of cooperation. As Moscow faces Western sanctions due to the war in Ukraine, collaboration with China is seen as essential for advancing in AI and other technological fields. However, Russia’s AI projects remain somewhat secretive, making it difficult to assess their true capabilities. Despite this, Sberbank’s First Deputy CEO noted that DeepSeek’s models have outperformed Russia’s GigaChat in scientific tasks, though Sberbank’s model remains competitive in banking applications.
Vedyakhin also highlighted the efficiency of DeepSeek’s approach, noting that its success proves high-quality AI can be achieved without massive investments in infrastructure. This philosophy aligns with Sberbank’s strategy, which focuses on low-cost AI solutions rather than the large-scale projects seen in the US. The bank’s AI platforms, like its Kandinsky text-to-image model and GigaChat Lite, are publicly available, following the transparent approach that has made DeepSeek successful.
