China’s chipmaking equipment purchases are expected to decline in 2025, following three years of growth, due to overcapacity and increasing restrictions from US sanctions. After purchasing $41 billion in equipment in 2024, which accounted for 40% of global sales, China’s spending is predicted to fall by 6% to $38 billion this year, marking the first decline since 2021. The drop in demand is attributed to reduced purchases in response to export controls and an excess of manufacturing capacity.
Despite these challenges, China has been a key driver for the global wafer fabrication equipment market over the past few years, even as other sectors saw downturns. Much of China’s equipment buying has been linked to stockpiling efforts in response to US sanctions aimed at limiting China’s ability to produce advanced chips, particularly for military use. Chinese firms, like SMIC and Huawei, have continued to advance in chip production, although at a higher cost and with more effort, while also focusing on expanding in the mature-node chip market.
In addition to growing its domestic production capabilities, China’s leading equipment manufacturers, such as Naura Technology Group and AMEC, are expanding internationally. However, the country still faces significant challenges in self-sufficiency, particularly in areas like lithography systems, testing, and assembly tools. While China’s domestic companies have made strides in equipment sales, they still rely heavily on foreign suppliers for advanced technology in these areas.
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Apple has partnered with Chinese tech giant Alibaba to develop AI features for iPhones in China, aiming to bolster its presence in a highly competitive market. The collaboration follows months of uncertainty over Apple’s AI strategy in the country, where rivals like Huawei have already integrated AI tools into their devices. The move marks a shift from Apple’s earlier preference for Baidu, which reportedly fell short of the company’s expectations.
The partnership could help Apple regain lost ground after a decline in iPhone sales during the holiday season, a period typically strong for the company. The AI-powered features have been submitted for regulatory approval in China, a crucial step before their rollout. Apple’s stock saw a 1.5% rise following the news, while Alibaba’s US-listed shares gained 2.6%.
Apple’s decision to work with Alibaba was reportedly influenced by the e-commerce giant’s vast datasets on user shopping and payment habits, which could enhance AI model training and improve personalised services. As Apple anticipates strong sales growth in the current quarter, this partnership could play a key role in driving renewed demand for iPhones in China.
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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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Brazil’s finance minister, Fernando Haddad, has dismissed claims that the country is considering taxing US tech companies in retaliation for new American tariffs on steel imports. The report, published by Folha de S.Paulo, suggested that President Luiz Inácio Lula da Silva’s administration was weighing levies on firms such as Amazon, Meta, and Google. Haddad stated that the information was incorrect and reaffirmed that the government would only make decisions based on concrete developments.
The United States is expected to introduce new 25% tariffs on steel and aluminium imports, adding to existing trade restrictions. As one of the largest suppliers of steel to the United States, Brazil has been closely monitoring the situation. Haddad emphasised that the government would adopt a measured approach, making announcements only when appropriate to avoid misinterpretation.
Previous discussions within Brazil‘s finance ministry have explored the possibility of taxing big tech firms as part of broader fiscal policies. However, no formal decision has been made, and Haddad’s comments suggest that any future action will depend on concrete economic considerations rather than speculation.
China has expressed its willingness to share advancements in artificial intelligence with the world, emphasising the importance of international collaboration. Speaking at an AI summit in Paris, Vice Premier Zhang Guoqing stated that China aims to safeguard security in the field while building ‘a community with a shared future for mankind,’ a key principle of President Xi Jinping’s foreign policy.
The statement highlights China’s push for deeper global partnerships in emerging technologies amid growing competition and regulatory scrutiny. AI has become a focal point in international relations, with nations balancing innovation with security concerns. Zhang’s comments suggest China is positioning itself as a cooperative player in shaping AI’s future.
As AI continues to reshape industries and societies, China’s call for collaboration signals its intent to engage with global stakeholders. Whether these efforts will lead to concrete partnerships remains to be seen, but the message from Beijing is clear: China is open to working with the world on artificial intelligence.
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AI chip startup Positron has raised $23.5 million in a bid to compete with industry leader Nvidia. The Reno-based company, which manufactures its chips in Arizona, claims its processors consume less than a third of the power of Nvidia’s high-performance H100 chips while maintaining similar capabilities. Investors in the funding round included Valor Equity Partners, Atreides Management, and Flume Ventures.
Positron’s chips are designed for AI inference, the stage where trained AI models are used rather than developed. While demand is currently higher for training chips, analysts predict that inference chips could soon become the more sought-after option as AI applications expand. This shift has led major players such as OpenAI, Google, and Meta to invest heavily in AI infrastructure, with spending expected to reach tens of billions of dollars this year.
Although Nvidia dominates roughly 80% of the AI chip market, rising costs and concerns over reliance on a single supplier have pushed major tech firms to seek alternatives. With its latest funding, Positron positions itself as a strong contender in the growing US and global AI chip industry, offering a more energy-efficient option for future AI applications.
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Toyota Financial Services is set to issue its first blockchain-powered security token bonds next month, marking a significant step in the company’s embrace of blockchain technology. The offering will be a 1 billion yen ($6.6 million) unsecured bond, with Daiwa Securities and Mitsubishi UFJ Bank collaborating on the project.
The token will be launched on the Progmat platform, operated by Mitsubishi UFJ. Toyota aims to strengthen its ties with individual investors by offering special benefits for token holders who also use the Toyota Wallet app. Those investing over 1 million yen will receive bonus credits in the app, adding an extra incentive.
Sales for the token will run from 20 February to 27 February, with the bond maturing on 3 March 2025. This offering is part of a broader push by Japanese companies to explore security tokens, as the government supports blockchain innovation.
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Foxconn, the world’s largest contract electronics manufacturer and Apple’s main iPhone maker, is prepared to adjust its production strategies in response to new US tariffs. Chairman Young Liu stated that the company is capable of planning its manufacturing around these changes, particularly with US President Donald Trump’s recently announced 25% tariff on all imports from Mexico and Canada, which has been paused until March 4.
Liu explained that Foxconn operates factories in both the United States and Mexico and will adjust production capacities based on the impact of the tariffs. He emphasised that Foxconn has the flexibility to move its operations between countries, minimising the overall effect of the tariffs on the company. However, Liu also warned that such tariffs are detrimental to the global economy, potentially shrinking markets.
Foxconn remains committed to working with US partners to align its manufacturing strategies with President Trump’s push for more domestic production. Despite the uncertainty around the tariffs, the company is prepared to adapt as necessary.
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France has positioned itself as a major player in artificial intelligence, attracting over €100 billion in investment, thanks in part to its reliable nuclear energy. At the AI Action Summit in Paris, President Emmanuel Macron highlighted the country’s clean power supply as a key advantage in luring tech firms. Among recent investments is a $10 billion supercomputer project by UK-based Fluidstack, expected to require 1 gigawatt of electricity, equivalent to one of France’s smaller nuclear reactors.
However, experts warn that delays in connecting power-hungry data centres to the grid could hinder progress. While data centres can be built in under a year, constructing the necessary transmission lines often takes five years due to permitting and public consultation requirements. The United States is seen as having a clear advantage in fast-tracking infrastructure development.
In response, state-owned utility EDF has designated four sites with pre-existing grid connections, potentially cutting project timelines by several years. While these efforts may help, the challenge of scaling infrastructure remains a significant obstacle to France’s AI ambitions.
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At the AI summit in Paris, French President Emmanuel Macron announced that Europe would reduce regulations to foster the growth of AI in the region. He called for more investment, particularly in France, and highlighted the importance of simplifying rules to stay competitive globally. Macron drew comparisons to the rapid reconstruction of the Notre-Dame cathedral, stating that a similar streamlined approach would be adopted for AI and data centre projects across Europe.
European Union digital chief Henna Virkkunen echoed Macron’s comments, promising to cut red tape and implement business-friendly policies. With the US pushing ahead with lighter AI regulations, there is increasing pressure on Europe to follow suit. Sundar Pichai, CEO of Alphabet, emphasised the need for more ecosystems of AI innovation, similar to the one emerging in France. The EU had previously passed the AI Act, which is the world’s first comprehensive set of AI regulations, but many at the summit urged a more flexible approach.
At the summit, France announced a major push for AI investment, including €109 billion from the private sector, and the launch of the Current AI partnership. This initiative, backed by countries like France and Germany, aims to ensure AI remains inclusive and sustainable. However, not all voices at the summit supported reducing regulations. Concerns were raised about the potential risks of weakening safeguards, particularly for workers whose jobs might be affected by AI advancements.
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