Critical infrastructure

Nvidia brings AI supercomputer production to the US

Nvidia is shifting its AI supercomputer manufacturing operations to the United States for the first time, instead of relying on a globally dispersed supply chain.

In partnership with industry giants such as TSMC, Foxconn, and Wistron, the company is establishing large-scale facilities to produce its advanced Blackwell chips in Arizona and complete supercomputers in Texas. Production is expected to reach full scale within 12 to 15 months.

Over a million square feet of manufacturing space has been commissioned, with key roles also played by packaging and testing firms Amkor and SPIL.

The move reflects Nvidia’s ambition to create up to half a trillion dollars in AI infrastructure within the next four years, while boosting supply chain resilience and growing its US-based operations instead of expanding solely abroad.

These AI supercomputers are designed to power new, highly specialised data centres known as ‘AI factories,’ capable of handling vast AI workloads.

Nvidia’s investment is expected to support the construction of dozens of such facilities, generating hundreds of thousands of jobs and securing long-term economic value.

To enhance efficiency, Nvidia will apply its own AI, robotics, and simulation tools across these projects, using Omniverse to model factory operations virtually and Isaac GR00T to develop robots that automate production.

According to CEO Jensen Huang, bringing manufacturing home strengthens supply chains and better positions the company to meet the surging global demand for AI computing power.

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Trump eyes tariffs on semiconductors in push to boost US tech manufacturing

US President Donald Trump is preparing to introduce new tariffs on semiconductor imports, aiming to shift more chip production back to the United States.

Semiconductors, or microchips, are essential components in everything from smartphones and laptops to medical devices and renewable energy systems.

Speaking aboard Air Force One, Trump said new tariff rates would be announced soon as part of a broader effort to end American reliance on foreign-made chips and strengthen national security.

The global semiconductor supply chain is heavily concentrated in Asia, with Taiwan’s TSMC producing over half of the world’s chips and supplying major companies like Apple, Microsoft, and Nvidia.

Trump’s move signals a more aggressive stance in the ongoing ‘chip wars’ with China, as his administration warns of the dangers of the US being dependent on overseas production for such a critical technology.

Although the US has already taken steps to boost domestic chip production—like the $6.6 billion awarded to TSMC to build a factory in Arizona—progress has been slow due to a shortage of skilled workers.

The plant faced delays, and TSMC ultimately flew in thousands of workers from Taiwan to meet demands, underscoring the challenge of building a self-reliant semiconductor industry on American soil.

Why does it matter?

Trump’s proposed tariffs are expected to form part of a wider investigation into the electronics supply chain, aimed at shielding the US from foreign control and ensuring long-term technological independence. As markets await the announcement, the global tech industry is bracing for potential disruptions and new tensions in the international trade landscape.

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Nvidia expands AI chip production in the US amid political pressure and global shifts

Nvidia is significantly ramping up its presence in the United States by commissioning over a million square feet of manufacturing space in Arizona and Texas to build and test its powerful AI chips. The tech giant has begun producing its Blackwell chips at TSMC facilities in Phoenix and is developing large-scale ‘supercomputer’ manufacturing plants in partnership with Foxconn in Houston and Wistron in Dallas.

The company projects mass production to begin within the next 12 to 15 months, with ambitions to manufacture up to half a trillion dollars’ worth of AI infrastructure in the US over the next four years. CEO Jensen Huang emphasised that this move marks the first time the core components of global AI infrastructure are being built domestically.

He cited growing global demand, supply chain resilience, and national security as key reasons for the shift. Nvidia’s decision follows an agreement with the Trump administration that helped the company avoid export restrictions on its H20 chip, a top-tier processor still eligible for export to China.

Nvidia joins a broader wave of AI industry leaders aligning with the Trump administration’s ‘America-first’ strategy. Companies like OpenAI and Microsoft have pledged massive investments in US-based AI infrastructure, hoping to secure political goodwill and avoid regulatory hurdles.

Trump has also reportedly pressured key suppliers like TSMC to expand American operations, threatening tariffs as high as 100% if they fail to comply. Despite the enthusiasm, Nvidia’s expansion faces headwinds.

A shortage of skilled workers and potential retaliation from China—particularly over raw material access—pose serious risks. Meanwhile, Trump’s recent moves to undermine the Chips Act, which provides critical funding for domestic chipmaking, have raised concerns about the long-term viability of US semiconductor investment.

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US exempts key electronics from China import taxes

Smartphones, computers, and key tech components have been granted exemption from the latest round of US tariffs, providing relief to American technology firms heavily reliant on Chinese manufacturing.

The decision, which includes products such as semiconductors, solar cells, and memory cards, marks the first major rollback in President Donald Trump’s trade war with China.

The exemptions, retroactively effective from 5 April, come amid concerns from US tech giants that consumer prices would soar.

Analysts say this move could be a turning point, especially for companies like Apple and Nvidia, which source most of their hardware from China. Industry reaction has been overwhelmingly positive, with suggestions that the policy shift could reshape global tech supply chains.

Despite easing tariffs on electronics, Trump has maintained a strict stance on Chinese trade, citing national security and economic independence.

The White House claims the reprieve gives firms time to shift manufacturing to the US. However, electronic goods will still face a separate 20% tariff due to China’s ties to fentanyl-related trade. Meanwhile, Trump insists high tariffs are essential leverage to renegotiate fairer global trade terms.

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Rapid AI growth raises global energy demands

The global demand for AI technology is set to consume nearly as much energy by 2030 as Japan does today, with much of that coming from data centres. According to the International Energy Agency (IEA), electricity demand from data centres will more than double by 2030, driven largely by AI.

Some AI data centres will require up to 20 times more energy than the average one, raising concerns about the environmental impact.

While AI’s rapid adoption could increase energy consumption, the IEA believes it also holds the potential for reducing overall greenhouse gas emissions. AI could improve energy efficiency, assist in designing grids for renewable energy, and optimise industrial processes.

However, the report warns that without careful regulation, AI’s growth could strain energy systems and harm the environment, particularly if fossil fuel-powered plants are used to meet energy demand.

Efforts to mitigate the impact of AI include harnessing its capabilities to design energy-efficient systems, optimise transport, and assist in critical infrastructure management. Yet, some experts argue that AI’s energy demands might outpace these benefits unless governments take proactive steps.

Claude Turmes, former Luxembourg energy minister, warned that the IEA’s optimistic outlook overlooks the severe risks to energy systems, urging stronger regulatory measures.

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Microsoft pauses $1 billion data centre project in Ohio

Microsoft has announced it is ‘slowing or pausing’ some data centre construction projects, including a $1 billion plan in Ohio, amid shifting demand for AI infrastructure.

The company confirmed it would halt early-stage development on rural land in Licking County, near Columbus, and will repurpose two of the sites for farmland.

The decision follows Microsoft’s rapid scaling of infrastructure to meet the soaring demand for AI and cloud services, which has since softened. The company acknowledged that such large projects require continuous adaptation to align with customer needs.

While Microsoft did not specify other paused projects, it revealed the suspension of later stages of a Wisconsin data centre expansion.

The slowdown also coincides with changes in Microsoft’s partnership with OpenAI, with the two companies revising their agreement to allow OpenAI to build its own AI infrastructure. This move reflects broader trends in AI computing needs, which are expensive and energy-intensive.

Despite the pause in Ohio, Microsoft plans to invest over $80 billion in AI infrastructure this fiscal year, continuing its global expansion, though it will now strategically pace its growth to align with evolving business priorities.

Local officials in Licking County expressed their disappointment, as the area had been a hub for significant tech investments, including those from Google and Meta.

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Brinc drones raises $75M to boost emergency drone tech

Brinc Drones, a Seattle-based startup founded by 25-year-old Blake Resnick, has secured $75 million in fresh funding led by Index Ventures.

Known for its police and public safety drones, Brinc is scaling its presence across emergency services, with the new funds bringing total investment to over $157 million. The round also includes participation from Motorola Solutions, a major player in US security infrastructure.

The company, founded in 2017, is part of a growing wave of American drone startups benefiting from tightened restrictions on Chinese drone manufacturers.

Brinc’s drones are designed for rapid response in hard-to-reach areas and boast unique features, such as the ability to break windows or deliver emergency supplies.

The new partnership with Motorola will enable tighter integration into 911 call centres, allowing AI systems to dispatch drones directly to emergency scenes.

Despite growing competition from other US startups like Flock Safety and Skydio, Brinc remains confident in the market’s potential.

With its enhanced funding and Motorola collaboration, the company is aiming to position itself as a leader in AI-integrated public safety technology while helping shift drone manufacturing back to the US.

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DeepSeek highlights the risk of data misuse

The launch of DeepSeek, a Chinese-developed LLM, has reignited long-standing concerns about AI, national security, and industrial espionage.

While issues like data usage and bias remain central to AI discourse, DeepSeek’s origins in China have introduced deeper geopolitical anxieties. Echoing the scrutiny faced by TikTok, the model has raised fears of potential links to the Chinese state and its history of alleged cyber espionage.

With China and the US locked in a high-stakes AI race, every new model is now a strategic asset. DeepSeek’s emergence underscores the need for heightened vigilance around data protection, especially regarding sensitive business information and intellectual property.

Security experts warn that AI models may increasingly be trained using data acquired through dubious or illicit means, such as large-scale scraping or state-sponsored hacks.

The practice of data hoarding further complicates matters, as encrypted data today could be exploited in the future as decryption methods evolve.

Cybersecurity leaders are being urged to adapt to this evolving threat landscape. Beyond basic data visibility and access controls, there is growing emphasis on adopting privacy-enhancing technologies and encryption standards that can withstand future quantum threats.

Businesses must also recognise the strategic value of their data in an era where the lines between innovation, competition, and geopolitics have become dangerously blurred.

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Hydropower infrastructure vulnerable to cyberattacks

Cybersecurity threats to hydropower dams are becoming more frequent and severe, with attacks linked to state-backed actors from Iran, Russia, and elsewhere causing concern worldwide.

Recent incidents, including a major cyberattack on Hydro Quebec in 2023 and a thwarted attempt at Ethiopia’s Grand Renaissance Dam, show how vulnerable critical infrastructure has become.

The integration of Internet of Things (IoT) devices has only heightened these risks, expanding attack surfaces and introducing new vulnerabilities through outdated systems, dispersed equipment, and inconsistent security standards.

In the United States, authorities are growing increasingly alarmed at the lack of coordinated cybersecurity oversight for dams. Senator Ron Wyden, chairing a subcommittee hearing in April 2024, warned that many non-federal hydropower dams have never been audited for cybersecurity.

With only four cybersecurity experts overseeing 2,500 dams, and with outdated rules that only apply to internet-managed sites, he criticised the Federal Energy Regulatory Commission (FERC) for lacking the capacity and tools to safeguard the sector effectively.

Experts from the Idaho National Laboratory and FERC agree that the fragmented regulatory landscape poses a major challenge. Different agencies oversee various parts of dam operations, with no unified framework in place.

Cyberattacks on dams can cause more than just blackouts—they can also trigger devastating floods, disrupt water supplies, and endanger lives.

Calls are growing for Congress to address this vulnerability by improving funding, updating regulations, and implementing a national strategy to protect critical hydropower infrastructure from increasingly sophisticated cyber threats.

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Minister urges Indian start-ups to shift focus from ice cream to semiconductors

India’s Commerce Minister Piyush Goyal has sparked controversy by questioning whether Indian start-ups should focus on semiconductor chips instead of gluten-free ice creams and food delivery apps.

Speaking at a start-up conference, he compared India’s consumer internet boom unfavourably with China’s advances in robotics and AI, urging entrepreneurs to pursue more ambitious tech innovations instead of safe lifestyle products.

While acknowledging the position of India as the world’s third-largest start-up ecosystem, Goyal faced pushback from founders who argued consumer apps often evolve into tech pioneers.

Quick-commerce CEO Aadit Palicha noted that companies like Amazon began as consumer platforms before revolutionising cloud computing. However, investors admitted deep-tech struggles for funding, with most capital chasing quick-return ventures instead of long-term hardware or AI projects.

The debate highlights India’s innovation crossroads. Despite having 4,000 deep-tech start-ups, projected to reach 10,000 by 2030, they attracted just 5% of 2023 funding instead of China’s 35%.

Experts suggest the government could help by offering tax incentives instead of criticism, and building research bridges between academia and start-ups to compete globally in advanced technologies

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