Sustainable development

OpenAI weighs governance changes to block takeover

OpenAI is considering granting special voting rights to its non-profit board as part of new governance measures aimed at protecting the power of its directors amid a potential takeover bid from Elon Musk. The company’s CEO Sam Altman and board members are reportedly evaluating the move as OpenAI transitions to a for-profit structure. This would allow the non-profit board to retain control over key decisions, potentially blocking hostile takeovers, including Musk’s recent $97.4 billion acquisition offer.

The proposal comes after Musk’s consortium attempted to acquire OpenAI, with the company rejecting the offer, stating that it is not for sale and dismissing future bids. Musk’s bid appears to be driven by concerns over OpenAI’s shift toward profitability, as the company seeks to secure more funding to remain competitive in the AI sector. The special voting rights would give the non-profit board the ability to overrule major investors such as Microsoft and SoftBank, ensuring that OpenAI’s leadership retains influence over key decisions.

This move reflects OpenAI’s efforts to maintain control over its future direction while fending off external pressures from investors and potential acquirers. No final decision has been made yet, but the proposal is seen as a key strategy to safeguard the company’s independence as it navigates the evolving AI landscape.

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Taiwanese companies eye expansion in Texas

Taiwanese electronics companies are preparing to increase investments in Texas, with major announcements expected in May, coinciding with President Donald Trump’s first 100 days in office. Richard Lee, head of the Taiwan Electrical and Electronic Manufacturers’ Association, revealed that several large Taiwanese companies, particularly those in the AI server industry, are looking to expand their operations in Texas. This follows proactive efforts by Texas’ Republican-led government to attract Taiwanese investment.

The move comes as Trump has criticised Taiwan for its semiconductor business and threatened tariffs on trade partners with significant trade deficits, potentially targeting Taiwan. Last week, Taiwan’s President Lai Ching-te pledged to invest more in the US, adding to the momentum. Companies like Foxconn, Compal, and Inventec, which already have operations in Texas, are expected to announce further expansions, particularly to accommodate the growing demand for AI-related technologies.

Foxconn, which manufactures products for major tech companies like Apple and Nvidia, has already made a $33 million investment in land and factory buildings in Texas. With the demand for AI servers rising, Taiwanese manufacturers are eyeing Texas as a strategic location to meet the growing market needs. However, neither Foxconn nor Compal has yet provided specific details on their plans.

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Indian music industry joins lawsuit against OpenAI

Several of India’s leading Bollywood music labels, including T-Series, Saregama, and Sony, seek to join a lawsuit against OpenAI in New Delhi. They are concerned that the company’s AI models may have used their sound recordings without permission, potentially violating copyright laws. The legal action follows a previous lawsuit filed by Indian news agency ANI, which accused OpenAI’s ChatGPT of using content without authorisation to train its models. The music labels argue that this issue has significant implications for the global music industry.

The music companies, which represent major Indian and international music acts, claim that OpenAI’s AI systems could extract lyrics, compositions, and sound recordings from the internet without consent. T-Series, known for releasing thousands of songs annually, and Saregama, which holds a vast catalogue of iconic Indian music, are leading the charge. The Indian Music Industry (IMI), which also represents global labels like Sony Music and Warner Music, is pushing for the case to be heard in court, as the outcome could impact the future use of copyrighted content in AI training.

OpenAI, backed by Microsoft, argues that it adheres to fair-use principles by using publicly available data to build its AI models. However, the company is facing increasing legal pressure from multiple sectors worldwide, including recent lawsuits in Germany, where GEMA accused OpenAI of unlicensed use of song lyrics. OpenAI has opposed the Indian lawsuit, claiming that Indian courts do not have jurisdiction over the matter, given the company’s US base.

The next court hearing, which could shape the future of AI and copyright law in India, is scheduled for 21 February. This legal battle is gaining attention, particularly as OpenAI’s chief, Sam Altman, recently visited India to discuss the country’s plans for developing low-cost AI technology.

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Study warns of AI’s role in fueling bank runs

A new study from the UK has raised concerns about the risks of bank runs fueled by AI-generated fake news spread on social media. The research, published by Say No to Disinfo and Fenimore Harper, highlights how generative AI can create false stories or memes suggesting that bank deposits are at risk, leading to panic withdrawals. The study found that a significant portion of UK bank customers would consider moving their money after seeing such disinformation, especially with the speed at which funds can be transferred through online banking.

The issue is gaining traction globally, with regulators and banks worried about the growing role of AI in spreading malicious content. Following the collapse of Silicon Valley Bank in 2023, which saw $42 billion in withdrawals within a day, financial institutions are increasingly focused on detecting disinformation that could trigger similar crises. The study estimates that a small investment in social media ads promoting fake content could cause millions in deposit withdrawals.

The report calls for banks to enhance their monitoring systems, integrating social media tracking with withdrawal monitoring to better identify when disinformation is impacting customer behaviour. Revolut, a UK fintech, has already implemented real-time monitoring for emerging threats, urging financial institutions to be prepared for potential risks. While banks remain optimistic about AI’s potential, the financial stability challenges it poses are still a growing concern for regulators.

As financial institutions work to mitigate AI-related risks, the broader industry is also grappling with how to balance the benefits of AI with the threats it may pose. UK Finance, the industry body, emphasised that banks are making efforts to manage these risks, while regulators continue to monitor the situation closely.

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GlobalWafers confirms US investments are on track

Taiwan’s GlobalWafers confirmed on Friday that its investments in the US are proceeding as planned, despite potential changes under the US CHIPS Act. The company has been awarded $406 million in government grants to expand its silicon wafer production in Texas and Missouri. However, the Biden administration is considering changes to some CHIPS Act funding, which has raised concerns for GlobalWafers, as sources indicated there could be delays or renegotiations of some semiconductor-related disbursements.

GlobalWafers CEO Doris Hsu stated that the company has not yet received any notifications regarding changes to its subsidy terms. She emphasised that, if adjustments to the CHIPS Act do occur, the company would need to reassess its investment strategy in the US. Hsu added that the decision would depend on factors such as US demand, pricing conditions, and potential tariffs, though she noted that these scenarios are still hypothetical at this stage.

The company is moving forward with its expansion plans across three US plants, with funding tied to specific milestones. Hsu reassured that the planned investments are continuing according to schedule, with no immediate changes to the company’s strategy. GlobalWafers remains optimistic about its US operations, bolstered by its existing factories in the country and its strong global presence.

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US utilities boost spending to meet surging AI energy demand

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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Taiwan President vows to address US semiconductor concerns

Taiwan‘s President Lai Ching-te has pledged to address concerns raised by former US President Donald Trump regarding Taiwan’s semiconductor industry. Speaking after a National Security Council meeting, Lai acknowledged the importance of global semiconductor supply chains and vowed to work with Taiwan’s semiconductor sector to develop strategies to address US concerns. He emphasised the need for democratic nations, including the US, to collaborate on creating a “democratic supply chain” for advanced chips, particularly in the growing AI sector.

Lai also reassured the US of Taiwan’s commitment to contributing to the international economy, noting that Taiwan, home to the world’s largest contract chipmaker, TSMC, plays a vital role in the semiconductor market. TSMC is heavily invested in the US, including a $65 billion investment in new factories in Arizona. Despite these efforts, Taiwan’s defence spending remains a topic of criticism, particularly from Trump, who has repeatedly highlighted Taiwan’s insufficient military expenditure amid increasing threats from China.

In response to US concerns, Lai revealed plans to propose a special budget to raise Taiwan’s defence spending from 2.5% of GDP to 3%. This proposal is currently being debated in parliament, where opposition parties hold a majority. Lai stressed that Taiwan’s determination to defend itself must be clear, as international allies continue to voice concerns over its defence readiness.

Finally, Lai reiterated Taiwan’s key role as a reliable trading partner to the US, especially in high-tech exports such as semiconductors. Taiwan’s trade surplus with the US surged by 83% last year, with exports reaching a record $111.4 billion.

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AI revolutionising the wealth management industry

AI is set to revolutionise wealth management by lowering the barriers to entry for new players, according to a Microsoft executive. Martin Moeller, head of AI for financial services at Microsoft, highlighted that AI’s ability to process vast amounts of data could allow small teams or even individuals to offer services that traditionally required entire teams at banks. This shift is expected to reshape the competitive landscape, much like the internet did decades ago.

AI is already being used in the financial sector, with Swedish payment provider Klarna employing AI from OpenAI to handle tasks previously carried out by 700 employees. UBS, the world’s largest asset manager, also sees significant potential in AI to boost productivity and ease job functions. AI is expected to reduce operational costs for startups and allow banks that have not been involved in wealth management to enter the market with minimal investment.

Customer behaviour is also changing, with younger entrepreneurs increasingly managing their own investments. In response, banks are using AI to enable customers to consolidate financial information independently. While AI currently does not provide specific investment advice, ‘agentic AI’ is expected to be developed in the next two years, which will make independent decisions without human input, further transforming the industry.

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Alibaba secures major AI deal with Apple

Alibaba has announced a new partnership with Apple to support the development of AI services for iPhones in China, a move that aims to help Apple counter declining smartphone sales in its crucial market. The collaboration is seen as a significant win for Alibaba, which is gaining ground in China’s competitive AI industry, dominated by local players like DeepSeek. This deal comes after months of speculation regarding Apple’s AI strategy in the region, as the tech giant held discussions with other Chinese companies such as Baidu, ByteDance, and Tencent.

While the specifics of the partnership are still unclear, Alibaba’s chairman Tsai noted that Apple chose their AI technology to power its phones in China. The two companies have already submitted necessary regulatory materials to Chinese authorities, as consumer-facing AI products in the country require approval. Alibaba’s stock saw a notable rise following the announcement, reflecting investor optimism about the deal.

The timing of this collaboration is crucial for Apple, which has faced challenges in China, including falling iPhone sales and increased competition from domestic rivals like Huawei. Analysts suggest that Apple’s struggles in the region are partly due to the lack of advanced AI features in its phones, a growing demand in the Chinese market. Apple’s sales in Greater China dropped significantly in late 2024, and the company lost its top position in the market to local players like Vivo and Huawei.

For Alibaba, the partnership underscores its growing strength in AI, with its stock price surging in 2025. The company’s Qwen 2.5 AI model, which surpassed the capabilities of competitors, has become a focal point of its recent success. As Apple seeks to re-establish its presence in China, the effectiveness of this AI collaboration will likely play a critical role in its future in the market.

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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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