Nvidia CEO Jensen Huang has urged South Korea’s SK Hynix to speed up the delivery of its next-generation HBM4 memory chips by six months, according to SK Group Chairman Chey Tae-won. Initially scheduled for the latter half of 2025, the HBM4 chips are in high demand as Nvidia’s GPUs require them for advancing AI technology. Nvidia, which holds a dominant share of the AI chip market, relies on SK Hynix’s high-bandwidth memory to support AI processing.
Facing growing competition from Samsung and Micron, SK Hynix is working to deliver its latest HBM3E chips this year, with plans to release improved 16-layer versions early next year. Samsung has also announced progress on a new supply deal and aims to roll out its HBM4 products by the second half of 2024.
Shares of SK Hynix surged 5.1% on the news, reflecting strong investor confidence in its strategic response to the booming demand for advanced memory technology.
United States energy regulators have rejected an amended plan for an Amazon data centre to be powered directly from Talen Energy’s Susquehanna nuclear plant in Pennsylvania. The Federal Energy Regulatory Commission (FERC) cited potential risks to both consumer costs and grid reliability, concluding that diverting power from the regional grid to Amazon’s facility could raise public energy bills and create supply challenges.
The proposal came as Big Tech companies like Amazon seek rapid ways to meet growing energy demands for data centres, particularly those needed to expand AI technologies. Co-locating data centres with power plants has emerged as an appealing solution, yet FERC Commissioner Mark Christie warned that this arrangement could bring complex repercussions, including significant impacts on reliability and costs.
FERC Chairman Willie Phillips, however, dissented, arguing that blocking the project could hinder US leadership in AI and harm national security. The decision leaves questions about funding and infrastructure upgrades necessary to ensure reliable supply to such high-demand centres.
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.
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.
Google Cloud has launched its first in-house Arm-based CPU, called the Axion chip, now available to all cloud customers, including streaming services like Spotify and Paramount. Designed with Arm Holdings technology, the Axion chip offers about 60% greater energy efficiency than traditional processors from Intel and AMD, allowing developers to save power for other intensive tasks, such as AI, according to Mark Lohmeyer, Google Cloud‘s vice president of compute and AI infrastructure.
Google joins Amazon, Microsoft, and Ampere Computing in offering Arm-based processors that provide high performance with lower electricity usage. The Axion chip, delivered via a service called an ‘instance,’ represents Google Cloud’s growing focus on energy-efficient computing solutions. Though Google Cloud has used Ampere’s Arm-based chips in the past, it intends to shift more focus to its own Axion chip as the primary option for cloud customers moving forward.
Google Cloud has already been using the Axion chip internally, powering various cloud services for some time. Lohmeyer stated the Axion chip’s enhanced efficiency and integration into Google’s infrastructure mark a significant milestone in Google’s cloud technology portfolio.
The Biden administration is investing $825 million in a new semiconductor research facility in Albany, New York, as part of a broader push to bolster US chip production and reduce reliance on foreign technology. The Albany facility will serve as a primary hub within the National Semiconductor Technology Center (NTSC), which aims to accelerate advancements in chip design and manufacturing, supporting initiatives laid out in the CHIPS and Science Act passed in 2022. Senator Chuck Schumer, a key advocate for the Albany location, said the facility will advance US leadership in semiconductor technology and support high-tech manufacturing jobs.
The Albany site, based at the Albany NanoTech Complex, will focus on developing cutting-edge machinery to enhance chip production. Additional hubs for chip design and packaging will be announced soon. The complex will also feature a state-of-the-art ‘High NA’ machine from ASML, allowing chip makers to create densely packed semiconductors capable of advanced computing. Schumer believes this investment could make New York a significant chip production centre, with companies like GlobalFoundries, Micron, and Wolfspeed also planning expansions in the state.
The CHIPS Act allocated $11 billion for semiconductor R&D and an additional $39 billion for manufacturing subsidies, though the rollout of these funds has faced criticism for delays. Despite challenges, the Biden administration views this program as essential to sustaining growth in high-tech manufacturing, especially in areas like AI, while also reducing design and production costs for American companies. With Albany set to lead the charge, federal officials are hopeful this investment will help the US regain its competitive edge in the global semiconductor industry.
Amid growing geopolitical tensions, Rick Tsai, CEO of Taiwan’s top chip designer MediaTek, emphasised the company’s commitment to regulatory compliance in a recent earnings call. Tsai acknowledged the complex challenges posed by international relations but reassured stakeholders that MediaTek’s strong compliance program is designed to uphold ethical standards across diverse markets. He added that the company “will not do, shall we say, strange things” and is focused on protecting shareholder interests.
Taiwan, home to leading semiconductor firms like MediaTek and TSMC, plays a pivotal role in the global tech landscape, supplying major players in AI, including Nvidia. However, the tech sector faces rising pressures as Taiwan grapples with increasing military threats from China, which claims the island as its territory. Additionally, the upcoming US presidential election adds uncertainty; candidate Donald Trump has criticised Taiwan’s impact on the US chip market, proposing tariffs on imports and suggesting greater restrictions on international tech firms.
MediaTek, a TSMC customer, also contends with existing US limits on partnerships with Chinese tech companies such as Huawei. Recently, TSMC suspended shipments to a client after finding a chip intended for a different product had reached Huawei. Despite these challenges, MediaTek’s stock has risen by 27% this year, reflecting investor confidence in Taiwan’s enduring role within the tech industry.
OpenAI is collaborating with Broadcom and TSMC to develop its first custom-designed chip, while supplementing its infrastructure with AMD chips alongside those from Nvidia to meet high computing demands. OpenAI initially considered establishing its own chip-manufacturing network but set the idea aside due to costs and time requirements. Instead, the company is focused on partnerships and in-house chip design to reduce costs, similar to strategies from industry giants like Amazon, Google, and Microsoft.
Broadcom’s stock rose 4.5% following news of the collaboration, while AMD shares gained 3.7%. The partnership will leverage Broadcom’s experience in fine-tuning chip designs for manufacturing and secure production capacity with TSMC, aiming for the first in-house chips by 2026. OpenAI’s increased use of AMD chips on Microsoft’s Azure platform underscores the growing competition Nvidia faces in the AI chip market, where it currently holds over 80% market share.
With soaring expenses from training and deploying models, OpenAI is seeking to streamline operations and cut compute costs. Nvidia remains an essential partner for OpenAI’s advanced Blackwell GPUs, even as OpenAI expands its chip sourcing to support more affordable, efficient AI development.
