Japan’s AI adoption lags behind global trends

Despite 61 percent of Japanese people being aware of generative AI, only 9 percent have used it, a recent survey by the Nomura Research Institute revealed. Younger generations show higher adoption rates, but overall public hesitation remains, particularly among older age groups.

As Japan faces a declining workforce, the government and businesses see AI as a potential solution to boost productivity. However, concerns over privacy, security, and misinformation have slowed adoption. Financial market disruptions and regulatory actions against AI models, such as China’s DeepSeek, have further intensified scepticism.

While some companies, particularly in labour-strapped industries, are beginning to implement AI, a shortage of specialists and a lack of reliable information present significant challenges. Despite these hurdles, Japan is pushing forward with AI development, with initiatives like SoftBank’s partnership with OpenAI and government plans to regulate and promote AI use in a ‘safe and secure’ manner.

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Vision pro to get AI and guest mode upgrade in April

Apple is set to introduce AI-driven features to its Vision Pro headset, including a new spatial content app and an enhanced guest user mode. The update, expected in April, may be available in beta for developers as early as this week, according to sources cited by Bloomberg.

The AI integration, dubbed ‘Apple Intelligence,’ will bring tools such as Writing Tools, Genmojis, and the Image Playground app to the Vision Pro. This move aligns with Apple’s broader push to incorporate AI into its ecosystem, as the company also explores AI partnerships for iPhones in China.

The Vision Pro, which launched in February 2024 with a hefty price tag of $3,499, initially saw strong sales but has since faced slowing demand. By enhancing its software with AI and new content features, Apple hopes to reignite consumer interest and better compete with more affordable alternatives, such as Meta’s Quest headsets.

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Tiger Brokers embraces AI with DeepSeek integration

Tiger Brokers has integrated DeepSeek’s AI model into its TigerGPT chatbot, marking a significant step in the race to adopt AI in the financial industry. The DeepSeek-R1 model is already being used by over 20 Chinese brokers and fund managers, transforming areas such as market analysis, risk management, and client interaction. The technology, developed at a fraction of the cost of Western AI models, is expected to revolutionise how financial firms operate, with DeepSeek tapping into valuable data to enhance decision-making and trading strategies.

Tiger Brokers, supported by investors like Xiaomi and Jim Rogers, views this AI breakthrough as a game changer. The upgraded TigerGPT, which will initially be available for free in China and Singapore, now offers enhanced logical reasoning capabilities, allowing for more accurate market predictions and investment opportunities. CEO Wu Tianhua described the impact as transformative, helping users understand market shifts and boosting the overall investment experience.

As AI adoption accelerates, financial IT spending in China is forecasted to rise by 24% in the next five years, a trend expected to benefit tech companies like Hundsun Technologies. The integration of DeepSeek’s models is reshaping the financial industry, with firms such as Sinolink Securities and CICC Wealth Management already exploring AI’s potential to improve efficiency, from risk management to investment advisory services.

Despite the promise, the financial industry faces challenges in standardising data for AI models. However, companies are moving quickly to implement AI solutions, eager to unlock the full potential of their data and enhance their internal operations, marketing, and investing strategies.

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Ray-Ban Meta sales drive smart glasses growth

EssilorLuxottica is set to ramp up production of its smart glasses, driven by the success of its Ray-Ban Meta range developed in partnership with Meta. Since their launch in September 2023, over two million units have been sold, with growing user engagement indicating a shift towards mainstream adoption.

The eyewear giant, which has collaborated with Meta since 2019, aims to expand its smart glasses portfolio with new brands and features. The company is also considering subscription-based services and additional functionalities to enhance user experience.

To meet rising demand, EssilorLuxottica plans to increase production capacity to 10 million units annually by the end of next year. Manufacturing will be expanded across China and Southeast Asia, enabling the company to support future product releases, including the development of Nuance Audio glasses with integrated hearing solutions.

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AI push in China planned by Apple

Apple is preparing to introduce its AI features to iPhones in China by mid-year. Efforts include significant software adaptations and collaboration with local partners to meet the country’s unique requirements.

Teams based in China and the US are actively working to customise the Apple Intelligence platform for the region. Insiders suggest the launch could happen as early as May, provided technical and regulatory challenges are resolved.

Regulatory compliance remains a critical hurdle for Apple. The project reflects the company’s growing emphasis on localising its technology for key international markets, including China.

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Trump administration eyes changes to CHIPS Act deals

The Trump administration is reevaluating the conditions of CHIPS and Science Act subsidies, which allocate $39 billion to boost domestic semiconductor production. Sources indicate that ongoing projects under the 2022 law are being reviewed for compliance with new policy priorities, potentially leading to renegotiations or delays.

GlobalWafers, a Taiwanese company set to receive $406 million for projects in Texas and Missouri, noted that Washington has not yet communicated any changes.

However, new White House policies are reportedly under review, including those related to unionised labour and childcare for factory workers. Each subsidy agreement has unique milestones that recipients must meet to secure funding.

Concerns over companies expanding operations in China despite receiving CHIPS funding have also emerged. Intel, for example, announced a $300 million investment in a Chinese facility after receiving substantial subsidies.

The Semiconductor Industry Association has expressed its willingness to collaborate with the Trump administration to streamline program requirements and maintain progress.

Industry giants such as TSMC, Samsung, and Intel continue to navigate the shifting landscape of the CHIPS Act, with no immediate clarity on how changes will affect existing agreements. The White House has yet to respond to requests for further comment on these developments.

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DeepSeek models boost competition for Chinese AI chipmakers

The rise of DeepSeek’s AI models is offering Chinese chipmakers like Huawei a better chance to compete in the domestic market against the powerful processors from US companies like Nvidia. For years, Huawei and other Chinese manufacturers have struggled to match Nvidia’s high-end chips, which are essential for training AI models. However, DeepSeek’s focus on ‘inference’ rather than raw processing power has led analysts to believe that it could help close the gap between Chinese-made processors and their US counterparts. Inference refers to the phase where AI models use trained data to make predictions, a process less reliant on heavy computational resources.

Several Chinese AI chipmakers, including Huawei, EnFlame, and Moore Threads, have recently stated that their products will support DeepSeek models, although few details have been disclosed. Industry executives predict that DeepSeek’s open-source nature and its low fees will drive the adoption of AI, helping Chinese companies bypass US export restrictions on advanced chips. In fact, Chinese chips like Huawei’s Ascend 910B have already been recognised as better suited for inference tasks, which require less computational power than training.

Despite these developments, Nvidia still dominates the global AI chip market. Analysts point out that while Chinese chips are cost-effective for inference tasks, Nvidia’s superior chips remain the preferred choice even for inference. Nvidia’s CUDA platform, which provides developers with a robust software environment, remains a key advantage, and Chinese companies like Huawei have struggled to convince developers to abandon CUDA in favour of their platforms, such as Huawei’s Compute Architecture for Neural Networks (CANN). The software performance of Chinese AI chips continues to lag behind, making it challenging for them to directly challenge Nvidia’s dominance.

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Chinese tech giant Tencent wins US court battle

Tencent, a leading Chinese tech giant, has won a significant copyright infringement case in a US district court. The ruling resulted in nearly $85 million in compensation after a Taiwan-based TV box firm, Unblock Tech, and its distributors were found guilty of violating copyrights on over 1,500 Tencent shows, including ‘Little Days’ and ‘Three Body Problem’.

The judgement was handed down by the US District Court for the Western District of Texas. Tencent units, including Tencent Penguin Film and Tencent Technology, brought the case against the defendants for copying, distributing, and importing the content without permission.

Neither Tencent nor Unblock Tech provided comments regarding the ruling.

Analyst Vivian Toh highlighted the challenges of addressing cross-border infringement, stating that Tencent’s success underscores its commitment to protecting intellectual property.

The win reflects the broader issue of video content piracy, which remains a persistent problem across global markets.

Tencent has also pursued similar cases in China, targeting TikTok and Douyin-owner ByteDance over unauthorised use of its content. The outcomes of those lawsuits have yet to be publicly disclosed.

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China’s semiconductor spending faces decline

China’s spending on chipmaking equipment is expected to fall by 6% in 2025, marking its first decline since 2021, according to Canadian research firm TechInsights. The drop follows years of aggressive stockpiling as Chinese firms sought to bypass tightening US export controls. Last year, China accounted for 40% of global semiconductor equipment purchases, but its share is projected to shrink significantly.

Analysts attribute the decline to a combination of overcapacity and the impact of US sanctions, which aim to limit China’s ability to develop advanced chips with potential military applications. Despite these restrictions, companies like SMIC and Huawei have continued to push forward, achieving technological breakthroughs by relying on more expensive and labour-intensive manufacturing processes.

China has made strides in producing mature-node chips and expanding its domestic semiconductor industry, with firms like Naura Technology Group gaining global market share. However, the country remains dependent on foreign suppliers for critical tools such as lithography machines, highlighting ongoing challenges in its push for self-sufficiency.

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AI development is outpacing our understanding, says expert

Dario Amodei, CEO of AI firm Anthropic, has warned that the race to develop AI is moving faster than efforts to fully understand it. Speaking at an event in Paris, he stressed the need for deeper research into AI models, describing it as a race between expanding capabilities and improving transparency. ‘We can’t slow down development, but our understanding must match our ability to build,’ he said.

Amodei rejected the notion that AI safety measures hinder progress, arguing instead that they help refine and improve models. He pointed to earlier discussions at the UK’s Bletchley Summit, where risk assessment strategies were introduced, and insisted they had not slowed technological growth. ‘Better testing and measurement actually lead to better models,’ he said.

The Anthropic CEO also discussed the evolving AI market, including competition from Chinese firm DeepSeek, whose claims of dramatically lower training costs he dismissed as ‘not based on facts.’ Looking ahead, he hinted at upcoming improvements in AI reasoning, with a focus on creating more seamless transitions between different types of models. He remains optimistic, predicting that AI will drive innovation across industries, from healthcare to finance and energy.

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