Capacity development

Chinese investors turn to AI for stock market edge

Chinese retail investors are rapidly embracing AI tools like DeepSeek to navigate the stock market, marking a striking shift from last year’s government crackdown on computer-driven quantitative trading.

Online courses and packed training rooms reflect a growing eagerness among small-time traders to use AI-powered models, with many seeing them as essential in the digital age.

DeepSeek, developed by a hedge fund in Hangzhou, has not only boosted Chinese stocks but also reshaped perceptions of the country’s $700 billion hedge fund industry.

Despite the initial backlash against quant funds, which were previously blamed for market volatility, investors are now paying thousands of yuan to attend AI trading seminars.

Social media is flooded with courses teaching traders how to use DeepSeek to analyse companies, pick stocks, and even code their own trading strategies.

While major US funds like BlackRock and Renaissance Technologies have long used AI for investments, DeepSeek’s open-source model makes these tools accessible to China’s smaller asset managers and individual traders.

Financial institutions are also adapting to the AI-driven shift. Brokers are rushing to integrate AI models into their platforms, with industry leaders predicting a complete transformation in how Chinese investors make decisions.

Many now seek trading advice from DeepSeek instead of human wealth managers, reflecting a deep trust in the technology. However, experts warn that AI models still have limitations and could create market risks, especially if large numbers of traders act on the same signals.

While some remain cautious about AI’s role in investing, DeepSeek has undeniably changed public attitudes towards quant fund managers.

Many now view them as contributors to market efficiency rather than as culprits behind retail losses. As China’s stock market continues to evolve, AI looks set to play an increasingly dominant role in shaping investor behaviour.

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Meta has developed an AI chip to cut reliance on Nvidia, Reuters reports

Meta, the owner of Facebook, Instagram, and WhatsApp, is testing its first in-house chip designed for training AI systems, sources told Reuters.

The social media giant has started a limited rollout of the chip, planning to scale up production if testing delivers positive results. The move represents a crucial step in Meta’s strategy to lessen dependence on external suppliers like Nvidia and lower substantial infrastructure costs.

The company has projected expenses between $114 billion and $119 billion for 2025, with up to $65 billion dedicated to AI infrastructure.

The chip, part of Meta’s Meta Training and Inference Accelerator (MTIA) series, is a dedicated AI accelerator, meaning it is specifically designed for AI tasks rather than general processing. This could make it more power-efficient than traditional GPUs.

Meta is collaborating with Taiwan-based chip manufacturer TSMC to produce the new hardware. The test phase follows Meta’s first ‘tape-out’ of the chip, a crucial milestone in silicon development where an initial design is sent to a chip factory.

However, this process is costly and time-consuming, with no guarantee of success, and any failure would require repeating the tape-out step.

Meta has previously faced setbacks in its custom chip development, including scrapping an earlier version of an inference chip after poor test results. However, the company has since used another MTIA chip for AI-powered recommendations on Facebook and Instagram.

The new training chip aims to first enhance recommendation systems before expanding to generative AI applications like the chatbot Meta AI.

Meta executives hope to implement their own chips for AI training by 2026, although the company continues to be one of Nvidia’s biggest customers, investing heavily in GPUs for its AI operations.

The development comes as AI researchers increasingly question whether scaling up large language models by adding more computing power will continue to drive progress. The recent emergence of more efficient AI models, such as those from Chinese startup DeepSeek, has intensified these debates.

While Nvidia remains a dominant force in AI hardware, fluctuating investor confidence and broader market concerns have caused turbulence in the company’s stock value.

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New York MTA partners with Google to detect track problems

The Metropolitan Transportation Authority (MTA) in New York City has partnered with Google Public Sector on a pilot program designed to detect track defects before they cause significant disruptions. Using Google Pixel smartphones retrofitted onto subway cars, the system captured millions of sensor readings, GPS locations, and hours of audio to identify potential problems. The project aimed to improve the efficiency of the MTA’s response to track issues, potentially saving time and money while reducing delays for passengers.

The AI-powered program, called TrackInspect, analyses the sounds and vibrations from the subway to pinpoint areas that could signal defects, such as loose rails or worn joints. Data collected during the pilot, which ran from September 2024 to January 2025, showed that the AI system successfully identified 92% of defect locations found by human inspectors. The system was trained using feedback from MTA inspectors, helping refine its ability to predict track issues.

While the pilot was considered a success, the future of the program remains uncertain due to financial concerns at the MTA. Despite this, the success of the project has sparked interest from other transit systems looking to adopt similar AI-driven technologies to improve infrastructure maintenance and reduce delays. The MTA is now exploring other technological partnerships to enhance its track monitoring and maintenance efforts.

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Nagasaki University launches AI program for medical student training

Nagasaki University in southwestern Japan, in collaboration with a local systems development company, has unveiled a new AI program aimed at enhancing medical student training.

The innovative program allows students to practice interviews with virtual patients on a screen, addressing the growing difficulty of securing simulated patients for training, especially in regional areas facing population declines.

In a demonstration earlier this month, an AI-powered virtual patient exhibited symptoms such as fever and cough, responding appropriately to questions from a medical student.

Scheduled for introduction by March 2026, the technology will allow students to interact with virtual patients of different ages, genders, and symptoms, enhancing their learning experience.

The university plans to enhance the program with scoring and feedback functions to make the training more efficient and improve the quality of learning.

Shinya Kawashiri, an associate professor at the university’s School of Medicine, expressed hope that the system would lead to more effective study methods.

Toru Kobayashi, a professor at the university’s School of Information and Data Sciences, highlighted the program as a groundbreaking initiative in Japan’s medical education landscape.

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NHS looks into Medefer data flaw after security concerns

NHS is investigating allegations that a software flaw at private medical services company Medefer left patient data vulnerable to hacking.

The flaw, discovered in November, affected Medefer’s internal patient record system in the UK, which handles 1,500 NHS referrals monthly.

A software engineer who found the issue believes the vulnerability may have existed for six years, but Medefer denies this claim, stating no data has been compromised.

The engineer discovered that unprotected application programming interfaces (APIs) could have allowed outsiders to access sensitive patient information.

While Medefer has insisted that there is no evidence of any breach, they have commissioned an external security agency to review their systems. The agency confirmed that no breach was found, and the company asserts that the flaw was fixed within 48 hours of being discovered.

Cybersecurity experts have raised concerns about the potential risks posed by the flaw, emphasising that a proper investigation should have been conducted immediately.

Medefer reported the issue to the Information Commissioner’s Office (ICO) and the Care Quality Commission (CQC), both of which found no further action necessary. However, experts suggest that a more thorough response could have been beneficial given the sensitive nature of the data involved.

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China expands university enrolment to boost AI talent

China’s top universities are set to expand undergraduate enrolment to develop talent in key strategic fields, particularly AI.

The move follows the rapid rise of AI startup DeepSeek, which has drawn global attention for producing advanced AI models at a fraction of the usual cost.

The company’s success, largely driven by researchers from elite institutions in China, is seen as a major step in Beijing’s efforts to boost its homegrown STEM workforce.

Peking University announced it would add 150 undergraduate spots in 2025 to focus on national strategic needs, particularly in information science, engineering, and clinical medicine.

Renmin University will expand enrolment by over 100 places, aiming to foster innovation in AI. Meanwhile, Shanghai Jiao Tong University plans to add 150 spots dedicated to emerging technologies such as integrated circuits, biomedicine, and new energy.

This expansion aligns with China’s broader strategy to strengthen its education system and technological capabilities. In January, the government introduced a national action plan to enhance education efficiency and innovation by 2035.

Additionally, authorities plan to introduce AI education in primary and secondary schools to nurture digital skills and scientific curiosity from an early age.

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Taco Bell parent company invests $1 billion in AI-powered restaurant technology

Taco Bell is ramping up its use of AI as part of a broader $1 billion investment by parent company Yum Brands in digital and technology.

At a recent investor event in New York, executives showcased the company’s ‘Byte by Yum’ AI tools, which aim to improve labour management and inventory tracking. Taco Bell’s Chief Digital and Technology Officer, Dane Mathews, said AI is already being used to streamline operations without reducing labour costs.

Around 500 Taco Bell locations in the United States now use AI-driven voice technology to handle drive-through orders, a significant increase from 100 locations in mid-2024.

During the investor event, executives presented a video skit demonstrating how AI could assist managers by suggesting staffing adjustments and optimising inventory. Analysts found the presentation both innovative and slightly unsettling, with Yum suggesting AI would help free up employees for other tasks rather than replace them.

Fast food chains are increasingly adopting AI to modernise operations, with companies like McDonald’s and Chipotle also investing in automation and digital tools. While Yum’s AI technology is currently used in nearly 25,000 of its 61,000 global restaurants, executives acknowledged there is still a long road ahead.

Analysts believe Yum may eventually commercialise its AI software beyond its own restaurant network. Taco Bell’s AI-driven strategy comes as the chain projects an 8% rise in same-store sales for the current quarter.

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AI to support China’s social welfare system

China is stepping up the use of AI and big data in elderly and social care as it seeks to address economic challenges posed by a shrinking workforce and an ageing population.

Civil affairs minister Lu Zhiyuan announced the initiative at the ‘Two Sessions’ political gathering, highlighting efforts to make services more accessible and efficient.

The country’s population has declined for a third consecutive year, with over 310 million people now aged 60 and above.

Officials are increasingly turning to technology to drive future growth. Local governments have moved swiftly to integrate AI into public services, with DeepSeek‘s chatbot gaining traction since its latest version was released in January.

Despite restrictions on AI chip sales imposed by the United States, DeepSeek’s cost-effective model has outperformed several Western competitors, reinforcing China’s position in AI development.

President Xi Jinping has reaffirmed the government’s support for AI, recently meeting with leaders from top technology firms, including DeepSeek, Tencent, Huawei and Xiaomi.

The push for AI adoption in social welfare services reflects a broader strategy to maintain economic stability and innovation in the face of demographic challenges.

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Indonesia approves Apple’s local content certificates

Indonesia has granted local content certificates for 20 Apple products, including the iPhone 16 after the company met requirements for locally-made components.

Apple still needs further approvals from the communications and trade ministries before it can officially sell the devices in the country.

The certification follows Apple’s recent pledge to invest over $300 million in Indonesia, including funding component manufacturing plants and a research and development centre.

Last year, the country had banned iPhone 16 sales due to non-compliance with local content rules.

Industry ministry spokesperson Febri Hendri Antoni Arief confirmed that Apple received certificates for 11 phone models and nine tablets.

However, negotiations had been ‘tricky’, according to Indonesia’s industry minister. Apple remains outside the top five smartphone brands in Indonesia, according to research firm Canalyst.

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Reddit launches new tools to improve user engagement

Reddit has introduced new tools to help users follow community rules and track content performance, aiming to boost engagement on the platform. The update comes after a slowdown in user growth due to Google’s algorithm changes, though traffic from the search engine has since recovered.

Among the new features is a ‘rules check’ tool, currently being tested on smartphones, which helps users comply with subreddit guidelines. Additionally, a post-recovery option allows users to repost content in alternative subreddits if their original submission is removed. Reddit will also suggest subreddits based on post content and clarify posting requirements for specific communities.

The company has enhanced its post insights feature, offering detailed engagement metrics to help users refine their content. This follows Reddit’s December launch of Reddit Answers, an AI-powered search tool designed to provide curated summaries of community discussions, which is still in beta testing.

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