AI chip production begins at TSMC’s Arizona facility

Nvidia has announced a major initiative to produce AI supercomputers in the US in collaboration with Taiwan Semiconductor Manufacturing Co. (TSMC) and several other partners.

The effort aims to create up to US$500 billion worth of AI infrastructure products domestically over the next four years, marking a significant shift in Nvidia’s manufacturing strategy.

Alongside TSMC, other key contributors include Taiwanese firms Hon Hai Precision Industry Co. and Wistron Corp., both known for producing AI servers. US-based Amkor Technology and Taiwan’s Siliconware Precision Industries will also provide advanced packaging and testing services.

Nvidia’s Blackwell AI chips have already begun production at TSMC’s Arizona facility, with large-scale operations planned in Texas through partnerships with Hon Hai in Houston and Wistron in Dallas.

The move could impact Taiwan’s economy, as many Nvidia components are currently produced there. Taiwan’s Economic Affairs Minister declined to comment specifically on the project but assured that the government will monitor overseas investments by Taiwanese firms.

Nvidia said the initiative would help meet surging AI demand while strengthening semiconductor supply chains and increasing resilience amid shifting global trade policies, including new US tariffs on Taiwanese exports.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Apple’s $2 billion iPhone airlift from India dodges Trump’s tariffs

Apple has airlifted nearly $2 billion worth of iPhones from India to the US, dodging President Trump’s looming tariffs with a clever sidestep. 

Customs data reveals that in March 2025, Apple’s key Indian partners, Foxconn and Tata, shipped a record-breaking haul to ensure the tech giant’s shelves stay stocked in one of its biggest markets. 

Foxconn, Apple’s primary supplier in India, exported $1.31 billion worth of iPhones—models 13, 14, 16, and 16e—in March alone, matching the combined total of January and February. 

Tata Electronics wasn’t far behind, sending $612 million worth of iPhone 15 and 16 models, a 63% surge from the previous month. 

Together, their efforts pushed Foxconn’s year-to-date shipments from India to the US to $5.3 billion, a testament to India’s growing role as a manufacturing hub amid Apple’s pivot away from China.

The operation was a logistical feat, with Apple chartering at least six cargo jets to ferry 600 tons of iPhones from Chennai’s air cargo terminal to US cities like Los Angeles, New York, and Chicago, which took the lion’s share. 

To pull it off, Apple worked with Indian authorities to slash customs clearance times at Chennai airport from 30 hours to just six, ensuring the iPhones beat the tariff clock. 

One source described the move as a strategic play to ‘beat the tariffs,’ a gambit to keep costs down as Trump’s trade policies tighten the screws.

Trump’s tariffs tell a tale of their own—while April 2025 saw a 26% duty on Indian imports, far lighter than the 100 %+ rates slapped on China, the president later paused most duties except for China’s for three months. 

Yet, he also granted temporary exemptions for smartphones and electronics from Chinese imports, though he hinted those breaks might not last.

Apple’s reliance on India signals a deeper strategy to diversify production and outmanoeuvre the unpredictable winds of US trade policy in a global market fractured by high tax impositions.

Nvidia hit by the new US export rules

Nvidia is facing fresh US export restrictions on its H20 AI chips, dealing a blow to the company’s operations in China.

In a filing on Tuesday, Nvidia revealed it now needs a licence to export these chips indefinitely, after the US government cited concerns they could be used in a Chinese supercomputer.

The company expects a $5.5 billion charge linked to the controls in its first fiscal quarter of 2026, which ends on 27 April. Shares dropped around 6% in after-hours trading.

The H20 is currently the most advanced AI chip Nvidia can sell to China under existing regulations.

Last week, reports suggested CEO Jensen Huang might have temporarily eased tensions during a dinner at Donald Trump’s Mar-a-Lago resort, by promising investments in US-based AI data centres instead of opposing the rules directly.

Just a day before the filing, Nvidia announced plans to manufacture some chips in the US over the next four years, though the specifics were left vague.

Calls for tighter controls had been building, especially after it emerged that China’s DeepSeek used the H20 to train its R1 model, a system that surprised the US AI sector earlier this year.

Government officials had pushed for action, saying the chip’s capabilities posed a strategic risk. Nvidia declined to comment on the new restrictions.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

AI firm DeepSeek opens up on model deployment tech

Chinese AI startup DeepSeek has announced its intention to share the technology behind its internal inference engine, a move aimed at enhancing collaboration within the open-source AI community.

The company’s inference engine and training framework have played a vital role in accelerating the performance and deployment of its models, including DeepSeek-V3 and R1.

Built on PyTorch, DeepSeek’s training framework is complemented by a modified version of the vLLM inference engine originally developed in the US at UC Berkeley.

While the company will not release the full source code of its engine, it will contribute its design improvements and select components as standalone libraries.

These efforts form part of DeepSeek’s broader open-source initiative, which began earlier this year with the partial release of its AI model code.

Despite this contribution, DeepSeek’s models fall short of the Open Source Initiative’s standards, as the training data and full framework remain restricted.

The company cited limited resources and infrastructure constraints as reasons for not making the engine entirely open-source. Still, the move has been welcomed as a meaningful gesture towards transparency and knowledge-sharing in the AI sector.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

AI giant Nvidia rebounds but challenges remain

Shares in Nvidia soared by nearly 20 per cent following a 90-day suspension of new US tariffs, lifting Wall Street to one of its strongest single-day performances in decades. The tech giant, whose chips underpin much of the AI boom from tools like ChatGPT to drone technologies, added $440bn to its market value in just one session, underlining its pivotal role in the global AI race.

Despite the rally, serious concerns remain. While some tariffs were temporarily halted, President Donald Trump raised levies on Chinese imports to as high as 125 per cent. For Nvidia, whose supply chain relies heavily on advanced manufacturing in Asia, particularly Taiwan and South Korea, the move threatens to disrupt both costs and production timelines. Analysts caution that such trade friction could deter investment in AI infrastructure, which is still in early stages of commercial return.

Even with strong revenues and continued dominance in AI hardware, Nvidia faces growing headwinds. The firm’s recent share slump reflected broader anxiety over whether AI spending is peaking, alongside the rise of cheaper, open-source alternatives. Added pressure from high energy demands, regulatory risks, and tighter capital markets could further complicate growth. Industry watchers warn that tariffs may undermine the very conditions AI needs to flourish: stable supply chains, affordable power, and investor confidence.

For more information on these topics, visit diplomacy.edu.

Anker raises prices amid rising US tariffs

Chinese tech company Anker, one of Amazon’s largest sellers, has raised prices on a fifth of its products on the platform since last Thursday. The price hikes, averaging 18%, are a direct result of the recent increase in US tariffs on Chinese goods.

The majority of the price rises occurred after 7 April, when President Donald Trump imposed an additional 50% import duty on Chinese imports.

It follows a broader trend where US import tariffs on Chinese goods have now reached 145%, while Beijing retaliated by raising tariffs on US products to 125%.

In response, China’s largest cross-border e-commerce association warned that many Chinese businesses selling on Amazon are considering price hikes or may leave the US market altogether.

Anker, a major player in the e-commerce space since its founding in 2011, has leveraged its bargaining power to implement these price increases.

With 5,000 employees and annual revenues of 22.17 billion yuan ($3 billion), Anker is able to absorb some of the tariff pressure while many of its competitors face similar challenges.

The company has also hinted at expanding into non-US markets, including Europe and Southeast Asia, as it seeks to navigate the increasingly challenging trade environment.

Anker and Amazon did not immediately respond to requests for comment.

For more information on these topics, visit diplomacy.edu.