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.
Big technology firms, including Microsoft and Meta, are significantly increasing their investments in AI data centres to meet soaring demand, but Wall Street is looking for quicker returns on these expenditures. Both companies reported rising capital expenses due to their AI initiatives, with Alphabet also indicating that its costs would remain elevated. Amazon is expected to follow suit in its upcoming earnings report.
This surge in capital spending could impact profit margins, causing concern among investors. Shares of major tech companies, including Meta and Microsoft, fell by around 4% in premarket trading, despite reporting better-than-expected profits for the July-September quarter. Analysts warn that while the race to build AI capacity is intensifying, it will take time for these investments to yield returns.
Microsoft’s capital expenditures for a single quarter now surpass its total annual spending from prior years. The company noted a 5.3% increase in spending, amounting to $20 billion, while also predicting further increases related to AI. However, they warned of potential slowdowns in growth for their Azure cloud business due to data centre capacity constraints. Similarly, Meta anticipates a “significant acceleration” in AI infrastructure costs next year.
The tech industry is experiencing bottlenecks, particularly as chipmakers like Nvidia struggle to keep up with the demand for AI chips. Advanced Micro Devices has also reported that AI chip demand is outpacing supply, limiting growth potential. Despite these challenges, both Microsoft and Meta maintain that it is still early in the AI cycle and emphasise the long-term benefits of their investments, echoing earlier experiences during the development of cloud technology.
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.
AMD’s shares dropped 8% on Wednesday as the chip giant’s revenue forecast fell short of investor hopes, despite strong gains from the AI-driven chip boom. The forecast suggests AMD’s AI chip sales could hit $5 billion by 2025, but CEO Lisa Su warned that production would struggle to meet demand, likely tightening supply through next year. This cautious outlook could see AMD lose up to $20 billion in market value, underscoring investor concerns.
Analysts noted that while AMD’s AI performance is promising, demand may outpace supply, raising risk for the company’s growth prospects. Stacy Rasgon of Bernstein observed that for an “AI name” like AMD, even modest guidance could raise eyebrows, especially with expectations for business “lumpiness” through 2025. Unlike AMD, Nvidia—a key AI chip competitor—showed little market impact, reflecting investor confidence in its supply stability.
AMD’s stock, up nearly 156% since late 2022, is now trading at around 32 times its forward earnings, slightly lower than Nvidia’s 36 times. Despite the recent dip, analysts still see upside potential, with the median target price set at $187.50, or about 13% above AMD’s last close.
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.
Intel is expected to report its largest revenue drop in five quarters, signalling a possible decline in its market position in data centres and personal computers. CEO Pat Gelsinger faces mounting pressure from shareholders to revive Intel’s status as a leading chipmaker, especially as rivals like AMD capitalise on the surging demand for AI-driven chips. Wall Street analysts anticipate an 8% revenue decline to $13.02 billion, highlighting the urgency for Intel to advance its manufacturing technology and regain competitiveness.
Despite recent moves, including job cuts and securing a chipmaking contract with Amazon, investors remain sceptical. Intel’s market value has fallen below $100 billion, and its stock is down over 50% this year. Calls are growing for Intel to spin off its struggling foundry business, which posted a significant operating loss of $2.55 billion due to high production costs. This manufacturing segment is often blamed for Intel’s weakened gross margins, which are expected to dip to 37.9%.
Intel’s struggles are compounded by a 17% decline in data centre revenue, the company’s 10th straight quarterly drop. Meanwhile, AMD has gained momentum, with its data centre revenue projected to double due to its AI-focused chips. With half of the analysts covering Intel lowering their revenue forecasts, expectations are already low, leaving investors hoping for a strategic turnaround in Intel’s business model.
San Francisco-based startup Untether has unveiled a new artificial intelligence chip, the 240 Slim, tailored for energy-efficient use in edge applications like autonomous vehicles and agricultural equipment. Unlike the large-scale data center chips produced by giants like Nvidia and AMD, Untether’s product is optimised to run pre-trained AI models, which means it focuses on inference, the process of applying existing AI models rather than training new ones.
As AI becomes more embedded in everyday technologies, demand for inference-focused chips is skyrocketing. Untether’s VP of product, Bob Beachler, anticipates the inference chip market to expand to $102B by 2027, far surpassing the training sector. The 240 Slim chip is built on the open-source RISC-V architecture, positioning it as a competitor to chips using Arm Holdings’ technology. Early tests by nonprofit MLCommons have shown promising performance results for Untether’s hardware.
Untether has already gained traction in the automotive sector; Mercedes-Benz plans to use Untether’s chips in its future autonomous vehicles. With these chips, the company aims to deliver cutting-edge performance with minimal power demands, a combination that could help drive innovation in autonomous tech, agriculture, and select data center applications.
The Biden administration announced on Monday new rules restricting US investments in specific technology sectors in China, including AI, semiconductors, and quantum computing, citing national security concerns. These rules, effective from 2 January, aim to prevent US capital and expertise from aiding China’s development of military and intelligence capabilities. Issued under an executive order from August 2023, the regulations will be managed by the Treasury’s new Office of Global Transactions.
The targeted technologies are considered crucial to future military and cyber defence. Treasury officials note that US investments often include more than money—managerial support, network access, and intellectual expertise—that could benefit Chinese advancements in sensitive sectors. A senior Treasury official, Paul Rosen, emphasised that these restrictions curb potential US involvement in developing cutting-edge technologies for adversarial nations.
The US Commerce Secretary Gina Raimondo has previously highlighted the importance of these measures, viewing them as essential to slowing China’s progress in military technologies. The new regulations allow for investments in publicly traded Chinese securities; however, existing rules still restrict transactions involving certain Chinese firms deemed to support military development.
Additionally, the rules respond to recent criticism from the House Select Committee on China, which has scrutinised American index providers for funnelling US investments into Chinese companies linked to military advancements. With these regulations, the administration underscores its intent to protect US interests by limiting China’s access to critical technology expertise and capital.
Nvidia overtook Apple on Friday to become the world’s most valuable company, driven by soaring demand for its AI chips. The chipmaker’s market value briefly reached $3.53 trillion, slightly surpassing Apple’s $3.52 trillion. Nvidia closed the day at $3.47 trillion, while Apple ended with $3.52 trillion after a modest stock increase.
Market fluctuations among the tech giants have been ongoing for months, with Apple, Nvidia, and Microsoft exchanging positions. Microsoft’s market value currently stands at $3.18 trillion. Nvidia dominates the market for processors used in AI computing, competing with major players like Microsoft, Alphabet, and Meta for leadership in this rapidly expanding field.
The company’s stock has surged by 18% this month, partly fuelled by news of OpenAI raising $6.6 billion in fresh funding. Nvidia shares also benefited from optimism around data centre demand, boosted by Western Digital’s better-than-expected earnings report on Friday.
Investment analysts suggest Nvidia is well-positioned to thrive as AI adoption grows. Russ Mould from AJ Bell highlighted the company’s strategic advantage, noting that if the US economy remains stable, investment in AI technologies will continue, further supporting Nvidia’s success.
Nvidia has deepened its ties with major Indian firms, including Reliance Industries, as it seeks to capitalise on the country’s growing AI market. At an AI summit in Mumbai, CEO Jensen Huang announced the launch of a new Hindi-focused AI model, Nemotron-4-Mini-Hindi-4B, designed to help businesses develop language-specific AI tools. This is part of Nvidia’s broader strategy to boost computing infrastructure in India, which Huang said will expand nearly 20 times by the end of this year.
The new model is tailored for Hindi, one of India’s 22 official languages, and aims to support companies in creating AI-driven solutions for customer service and content translation. Tech Mahindra is the first to adopt Nvidia’s offering, using it to develop a custom AI model, Indus 2.0, which also focuses on Hindi and its various dialects. Nvidia is also working with major IT players like Infosys, TCS, and Wipro to train half a million developers in AI.
In addition, companies such as Reliance and Ola Electric will use Nvidia’s “Omniverse” technology for virtual factory simulations, enhancing their industrial planning capabilities. The summit highlighted India’s growing significance in the global AI landscape as the country accelerates efforts to develop its semiconductor industry and AI infrastructure.
