Foxconn subsidiary Shunsin has submitted a request for an $80 million investment permit to establish an integrated circuit manufacturing plant in Bac Giang province, northern Vietnam. This development is detailed in a document from Vietnam’s environment ministry and represents a significant expansion of Foxconn’s operations in the region. The proposed facility aims to produce and process electronic components, particularly integrated circuit boards and is expected to commence full-scale operations by December 2026, with an annual production capacity of 4.5 million units.
This move aligns with Foxconn’s ongoing strategy to diversify its manufacturing base outside of China, especially in Southeast Asia, where it has already made substantial investments. The products manufactured at the new Shunsin plant will be designated for export, targeting major markets including the US, EU, and Japan. This export focus underscores Foxconn’s commitment to meeting the growing global demand for advanced electronic components.
Foxconn, officially known as Hon Hai Precision Industry, is recognised as the world’s largest contract electronics manufacturer. Since entering Vietnam in the early 2000s, the company has invested over $3.2 billion in various operations across the country. Its manufacturing footprint is primarily concentrated in northern provinces like Bac Ninh and Bac Giang, which have become key hubs for electronics production. In July, Foxconn also received a license to invest $383 million in a factory dedicated to printed circuit boards, further enhancing its capabilities in the region.
The UAE’s energy giant ADNOC is pioneering the use of highly autonomous agentic AI in the energy sector through a partnership with G42, Microsoft, and AIQ, as announced by CEO Sultan Al Jaber at an industry event in Abu Dhabi. This move is part of a broader UAE strategy to reduce reliance on oil, with support from G42, which secured a $1.5 billion investment from Microsoft to fuel the nation’s tech industry diversification.
Agentic AI, viewed as the future of artificial intelligence, allows systems to operate independently and make proactive decisions. According to Jaber, this advanced AI will significantly enhance operations by analysing vast amounts of data, reducing seismic survey times from months to days, and improving production forecasts by up to 90%.
The UAE’s government is investing billions in AI, including regional language-specific chatbots, positioning the Gulf state to remain economically influential as global demand for oil wanes.
Leading tech giants are racing to expand their AI infrastructure, with companies like Microsoft, Meta, and Amazon dedicating billions to meet rising demand. However, the heavy spending on data centres and computing power is sparking concern among investors who are eager for quicker returns. Big Tech’s significant capital investments come with mounting costs, threatening profitability and raising questions about how quickly these ventures will yield results.
Despite exceeding recent earnings forecasts, Big Tech stocks dropped on Thursday, underlining the pressure they face to balance AI expansion with shareholder expectations. Microsoft and Meta reported increased spending in their latest quarters, yet their shares fell, with Microsoft dropping 6% and Meta 4%. Amazon’s shares saw a brief dip before recovering on news of a strong third-quarter performance. Analysts point to a challenging road ahead as these firms juggle AI ambitions with market demands for near-term gains.
The challenges extend to capacity issues, with firms like Microsoft struggling to keep up with demand due to data centre constraints. Meanwhile, Meta forecasts that its AI-related expenses will increase significantly next year, and chip manufacturers like Nvidia and AMD are racing to fulfil orders. This supply bottleneck highlights the complex task of scaling up AI services, adding a layer of unpredictability to Big Tech’s efforts.
Despite short-term risks, companies remain committed to AI. Amazon CEO Andy Jassy described AI as a “once-in-a-lifetime” opportunity, while Meta’s Mark Zuckerberg likened today’s investment climate to the early days of cloud computing. As firms continue to ramp up infrastructure spending, they are counting on long-term returns, hoping to transform initial scepticism into eventual success.
Nvidia is seeking antitrust approval from the European Union for its planned acquisition of Israeli AI startup Run:ai valued at approximately $700 million. The European Commission has raised concerns that the merger could harm competition in the markets where both companies operate, prompting increased scrutiny of tech giants acquiring startups. This move reflects a broader regulatory trend aimed at preventing potential monopolistic practices in the tech sector.
Although the acquisition does not meet the EU’s turnover threshold for automatic review, it was flagged by Italy’s competition agency, which requested the EU to investigate further. The Commission has accepted this request, indicating that the transaction could significantly impact competition across the European Economic Area.
In response to the regulatory review, Nvidia expressed its readiness to cooperate and answer any questions regarding the acquisition. The company is committed to ensuring that AI technologies remain accessible across various platforms, emphasising its role as a leader in the chip industry, particularly for AI applications like ChatGPT.
Thailand’s Board of Investment (BOI) announced on Friday it has approved $2 billion in new investments aimed at bolstering the nation’s data centre and electronics manufacturing sectors. Among these, a significant investment comes from a subsidiary of Alphabet Inc., which will allocate 32.8 billion baht ($968 million) toward the development of a hyperscale data centre. This facility is expected to strengthen Thailand’s data infrastructure, accommodating the growing demand for digital services and data management across Southeast Asia.
The BOI highlighted that these investments align with Thailand’s strategic vision to transform into a regional tech and manufacturing hub. By enhancing its digital infrastructure and encouraging foreign investment in high-tech sectors, the country hopes to create a more resilient, future-ready economy. The addition of hyperscale data centres, in particular, will enable Thailand to meet increasing demands from cloud service providers, e-commerce companies, and other data-intensive industries.
Thailand has seen a surge in interest from global tech giants looking to establish operations in Southeast Asia, a region marked by rapid digital adoption and economic growth. BOI’s continued support for high-tech projects like these reflects the country’s focus on building a sustainable ecosystem for digital and electronics manufacturing, positioning Thailand as a key player in Asia’s digital economy.
OpenAI has introduced new search functions to its popular ChatGPT, making it a direct competitor with Google, Microsoft’s Bing, and other emerging AI-driven search tools. Instead of launching a separate search engine, OpenAI chose to integrate search capabilities directly into ChatGPT, which will pull information from the web and relevant sources based on user questions.
Initially, ChatGPT’s search feature will be available to Plus and Team users, with plans to expand access to enterprise and educational users, as well as free users, in the coming months. OpenAI’s partnerships with major publishers like Condé Nast, Time, and the Financial Times aim to provide a rich pool of content for ChatGPT’s search.
This launch follows OpenAI’s selective testing of SearchGPT, an AI-based search prototype, earlier in the year. With its recent funding round boosting its valuation to an estimated $157 billion, OpenAI continues to strengthen its standing as a leading private AI company.
Indonesia has banned sales of Google’s Pixel smartphones due to regulations requiring a minimum of 40% locally manufactured components in devices sold within the country. This decision follows a similar ban on Apple’s iPhone 16 for failing to meet these content standards. According to Febri Hendri Antoni Arief, a spokesperson for Indonesia’s industry ministry, the rules aim to ensure fairness among investors by promoting local sourcing and partnerships.
Google stated that its Pixel phones are not officially distributed in Indonesia, though consumers can still import them independently if they pay applicable taxes. Officials are also considering measures to deactivate unauthorised imports to enforce compliance.
Despite Google and Apple not being leading brands in Indonesia, the market holds significant potential for global tech firms due to its large, tech-savvy population. However, Bhima Yudhistira from the Centre of Economic and Law Studies warned that these restrictions may deter foreign investment, creating what he calls ‘pseudo protectionism’ that could dampen investor sentiment in the region.
China’s People’s Liberation Army (PLA) has adapted Meta’s open-source AI model, Llama, to create a military-focused tool named ChatBIT. Developed by researchers from PLA-linked institutions, including the Academy of Military Science, ChatBIT leverages an earlier version of Llama, fine-tuned for military decision-making and intelligence processing tasks. The tool reportedly performs better than some alternative AI models, though it falls short of OpenAI’s ChatGPT-4.
Meta, which supports open innovation, has restrictions against military uses of its models. However, the open-source nature of Llama limits Meta’s ability to prevent unauthorised adaptations, such as ChatBIT. In response, Meta affirmed its commitment to ethical AI use and noted the need for US innovation to stay competitive as China intensifies its AI research investments.
China’s approach reflects a broader trend, as its institutions reportedly employ Western AI technologies for areas like airborne warfare and domestic security. With increasing US scrutiny over the national security implications of open-source AI, the Biden administration has moved to regulate AI’s development, balancing its potential benefits with growing risks of misuse.
Coframe, an AI startup focused on optimising websites and marketing, announced it has raised $9.3 million in seed funding. The funding round was co-led by Khosla Ventures and NFDG, the AI fund launched by former GitHub CEO Nat Friedman and ex-Apple executive Daniel Gross. Coframe’s platform uses generative AI to automatically test and refine website content, visuals, and code, enhancing personalisation and boosting user engagement for clients.
CEO Josh Payne noted that Coframe’s recent trial with a major international firm showed impressive results, with campaigns increasing click-through rates by an average of 42%, while some segments saw a 352% improvement. Coframe has also collaborated with OpenAI to develop a specialised AI model that generates custom user interface code, ensuring on-brand and visually consistent website elements.
Currently in a limited testing phase, Coframe is working closely with growth and marketing teams to fine-tune its platform. The company aims to redefine how businesses design user experiences by tailoring website interfaces based on users’ profiles and intent.
Toyota and Nippon Telegraph and Telephone (NTT) plan to invest 500 billion yen ($3.27 billion) by 2030 to create an AI-driven platform to reduce traffic accidents. Announced in a joint statement, the Japanese automaker and telecom giant aims to launch the platform by 2028, using extensive data to support driver-assistance technology. This project, initiated amid rising pressure on Japanese automakers to compete in the autonomous driving space, is expected to enhance safety features such as improved visibility in urban areas and smoother expressway merging.
The companies intend the platform to benefit not only their own operations but also government and industry partners, setting a long-term goal to minimise traffic accidents. Toyota and NTT, who first collaborated on 5G-connected car technology in 2017, see this project as part of a broader vision for zero-accident mobility, aiming for widespread adoption by 2030.
Toyota’s existing investments in autonomous technology include Woven by Toyota, a unit established in 2021 focused on AI mobility. Woven by Toyota is also developing the Arene automotive software platform and Woven City, a testing hub in Shizuoka. As part of these advancements, NTT and Toyota also plan to test self-driving technology as early as 2025.
