Dassault Systèmes has collaborated with Apple to integrate its industrial 3D software with the Vision Pro headset. Widely used across manufacturing, life sciences and urban planning, the software allows engineers and designers to create precise digital twins of real-world objects.
The French company serves hundreds of thousands of customers designing cars, aircraft and factories.
A new app called 3DLive is set for release this summer, enabling real-time collaboration on 3D models. Engineers and designers will be able to work remotely on industrial projects, detecting potential issues early in the design process.
The technology aims to streamline workflows, particularly for manufacturing, where maintenance challenges often arise too late.
Deep integration with Apple’s Vision Pro will allow 3DLive to leverage its advanced sensors and computing power. The software’s high level of scientific accuracy ensures it can be used for complex applications such as aircraft design, where precision is crucial.
Apple executives highlighted its potential to reduce costs and rework by facilitating earlier design decisions.
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Alibaba has announced plans to invest at least 380 billion yuan ($52.44 billion) in cloud computing and AI infrastructure over the next three years. This significant investment, revealed on Monday, follows the company’s earnings announcement on Friday, where it reported revenue of 280.15 billion yuan for the quarter ending December 31, slightly surpassing analysts’ expectations. The investment in AI and cloud computing will exceed the company’s total spending in these areas over the past decade.
The announcement marks a strategic push for Alibaba in the rapidly growing AI sector, positioning the company as a key player in China’s AI race. This has already paid off in the stock market, with Alibaba’s shares climbing over 68% so far this year, reflecting strong investor confidence. The move also comes as other Chinese tech giants, such as ByteDance, are making similar investments, with ByteDance reportedly allocating over 150 billion yuan this year to enhance its AI capabilities.
This wave of investment underscores the growing importance of AI and cloud computing to China’s tech landscape. It also highlights the competitive race between Chinese firms to dominate these sectors and secure their positions in the global technology arena.
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STMicroelectronics has announced the launch of a new computer chip aimed at the rapidly expanding AI data centre market. Developed in collaboration with Amazon Web Services (AWS), the photonics chip uses light rather than electricity, which helps increase speed and reduce power consumption in AI data centres. These chips are expected to be used in transceivers, which are crucial components in data centre infrastructure.
As top US software companies plan to invest $500 billion into AI infrastructure, there is rising demand for specialised chips, not only for computing but also for memory, power, and communications applications. ST’s new chip targets the communications sector, with a focus on improving the efficiency of transceivers, which are essential in AI data centres. The company also has a collaboration agreement with AWS to deploy this technology in their infrastructure later this year.
ST is working with a leading provider of optical solutions, although the company’s name has not been disclosed, to integrate the new chip into next-generation transceivers. The market for such devices, valued at $7 billion in 2024, is expected to grow significantly, reaching $24 billion by 2030. ST will begin mass production of these chips at its facility in Crolles, France.
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Europe is on track for an unprecedented expansion in data centre capacity this year, according to new research from CBRE. The commercial real estate firm projects that 937 megawatts of new capacity will come online in 2025, a 43% increase from 2024. This surge is being fuelled by growing demand for artificial intelligence and cloud computing, despite challenges in securing power and land.
Over half of this new capacity is expected in key markets such as Frankfurt, London, Amsterdam, Paris, and Dublin. Secondary markets, including Milan and Madrid, are also experiencing rapid growth, with seven locations forecast to surpass 100MW of supply by the end of the year.
The ongoing boom is driven by several factors, including government incentives, land availability, and the ambitions of major cloud providers. ‘The data centre construction boom will continue unabated,’ said Kevin Restivo, CBRE’s head of European data centre research, highlighting the sector’s resilience despite infrastructure challenges.
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US electric utilities are significantly increasing their capital investment plans to expand power generation and strengthen the grid as AI and cloud computing drive up electricity consumption.
Companies such as PPL Corp, Dominion, and Exelon have revised their spending plans upward, with PPL announcing a nearly 40% increase to $20 billion through 2028.
The surge in demand is largely fuelled by data centres, which are now being built at an unprecedented scale, reaching capacities of up to 1 gigawatt per site.
Utility executives have dismissed concerns that market disruptions, such as Chinese AI startup DeepSeek’s recent emergence, would weaken demand from major tech firms.
Instead, companies including American Electric Power (AEP) and Duke Energy have received assurances from technology customers that their expansion plans remain unchanged. AEP is considering adding $10 billion to its existing $54 billion capital plan, while Duke is increasing its five-year spending by $10 billion.
Rising demand for electricity is expected to reach record levels in the US by 2026, driven not only by data centres but also by manufacturing and electrification in sectors like transportation.
While utilities race to expand power supplies, regulatory approval remains a challenge, and increased investment could lead to higher electricity costs for households and businesses.
Some utilities are also exploring whether data centres should bear a greater share of the costs associated with grid expansion.
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Baidu, China’s tech giant, is set to unveil the next version of its AI model, Ernie 5, in the second half of 2025. This new iteration will introduce multimodal capabilities, allowing it to process and convert a variety of formats such as text, video, images, and audio, offering significant advancements in AI technology.
The release is timed to respond to increasing competition in China’s rapidly developing AI sector, particularly from the startup DeepSeek. The company has gained attention with a reasoning model that rivals OpenAI’s GPT while offering lower costs. Despite being one of the first to enter the AI space in China after the debut of ChatGPT in 2022, Baidu has faced challenges in gaining widespread adoption of its Ernie model.
Baidu’s AI offerings have struggled to keep pace with competitors like ByteDance’s Doubao chatbot and DeepSeek in terms of user uptake. The company maintains that its latest version, Ernie 4, is comparable to OpenAI’s GPT-4, but the adoption rate has been slower than anticipated. CEO Robin Li acknowledged the unpredictable nature of innovation, noting DeepSeek’s rise as a reminder that the future of AI is uncertain and can emerge from unexpected places.
Li also stressed the importance of continued investment in data centres and cloud infrastructure to keep up with the evolving demands of AI, even as newer models, such as DeepSeek’s, challenge the cost-efficiency of large AI models.
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Baidu CEO Robin Li stated on Tuesday that investment in data centres and cloud infrastructure remains crucial despite the challenge posed by Chinese AI startup DeepSeek. Speaking at the World Government Summit in Dubai, Li emphasised that smarter AI models require increased computing power, or “compute,” to function effectively. His comments come as DeepSeek has gained attention for creating language models that perform similarly to OpenAI’s GPT while using much less computing power, prompting debate over the need for large-scale AI infrastructure.
Baidu, a key player in China’s AI development, was quick to launch its own AI products after the release of OpenAI’s ChatGPT in late 2022. However, its own language model, Ernie, has seen limited public adoption, despite claims that it rivals GPT-4 in capability. Li, who previously argued that no OpenAI-like company would emerge from China, admitted at the summit that innovation in AI is unpredictable, as shown by DeepSeek’s rapid rise.
In a shift from his earlier stance on AI development, Li acknowledged that open-source models could play a significant role in accelerating AI adoption. While he had previously advocated for closed-source approaches, he now recognises that allowing greater access could foster wider experimentation and faster technological spread. This marks a notable change in Baidu’s approach to the evolving AI landscape.
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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.
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.
Chinese companies are increasingly backing DeepSeek‘s AI, marking a pivotal moment for the industry. Firms like Moore Threads and Hygon Information Technology are enabling their computing clusters to support DeepSeek’s R1 and V3 models, which use domestically produced graphic processing units (GPUs). Analysts have hailed this as a ‘watershed moment,’ particularly as these models rival those run on global high-end chips.
Huawei has also joined the trend, integrating DeepSeek’s models with its Ascend cloud service and partnering with AI infrastructure start-up SiliconFlow. This integration showcases the growing potential of Chinese-made chips to support competitive large language models, reducing reliance on US hardware. Additionally, major Chinese tech companies such as Alibaba, Baidu, and Tencent have made DeepSeek’s models available through their cloud services.
DeepSeek’s rise has captured significant attention, especially after the launch of its free AI assistant, which surpassed ChatGPT in app downloads within days. The company’s approach, requiring far less computing power than its US counterparts, has further fueled its success. While DeepSeek is gaining traction globally, some countries, including Italy and the Netherlands, have raised privacy concerns, leading to investigations and blocks on its app.
