Taiwan tightens rules on chip shipments to China

Taiwan has officially banned the export of chips and chiplets to China’s Huawei and SMIC, joining the US in tightening restrictions on advanced semiconductor transfers.

The decision follows reports that TSMC, the world’s largest contract chipmaker, was unknowingly misled into supplying chiplets used in Huawei’s Ascend 910B AI accelerator. The US Commerce Department had reportedly considered a fine of over $1 billion against TSMC for that incident.

Taiwan’s new rules aim to prevent further breaches by requiring export permits for any transactions with Huawei or SMIC.

The distinction between chips and chiplets is key to the case. Traditional chips are built as single-die monoliths using the same process node, while chiplets are modular and can combine various specialised components, such as CPU or AI cores.

Huawei allegedly used shell companies to acquire chiplets from TSMC, bypassing existing US restrictions. If TSMC had known the true customer, it likely would have withheld the order. Taiwan’s new export controls are designed to ensure stricter oversight of future transactions and prevent repeat deceptions.

The broader geopolitical stakes are clear. Taiwan views the transfer of advanced chips to China as a national security threat, given Beijing’s ambitions to reunify with Taiwan and the potential militarisation of high-end semiconductors.

With Huawei claiming its processors are nearly on par with Western chips—though analysts argue they lag two to three generations behind—the export ban could further isolate China’s chipmakers.

Speculation persists that Taiwan’s move was partly influenced by negotiations with the US to avoid the proposed fine on TSMC, bringing both countries into closer alignment on chip sanctions.

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Coreweave expands AI infrastructure with Google tie‑up

CoreWeave has secured a pivotal role in Google Cloud’s new infrastructure partnership with OpenAI. The specialist GPU cloud provider will supply Nvidia‑based compute resources to Google, which will allocate them to OpenAI to support the rising demand for services like ChatGPT.

Already under a $11.9 billion, five‑year contract with OpenAI and backed by a $350 million equity investment, CoreWeave recently expanded the deal by another. 

Adding Google Cloud as a customer helps the company diversify beyond Microsoft, its top client in 2024.

The arrangement positions Google as a neutral provider of AI computing power amid fierce competition with Amazon and Microsoft.

CoreWeave’s stock has surged over 270 percent since its March IPO, illustrating investor confidence in its expanding role in the AI infrastructure boom.

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Meta hires top AI talent from Google and Sesame

Meta is assembling a new elite AI research team aimed at developing artificial general intelligence (AGI), luring top talent from rivals including Google and AI voice startup Sesame.

Among the high-profile recruits is Jack Rae, a principal researcher from Google DeepMind, and Johan Schalkwyk, a machine learning lead from Sesame.

Meta is also close to finalising a multibillion-dollar investment in Scale AI, a data-labelling startup led by CEO Alexandr Wang, who is also expected to join the new initiative.

The new group, referred to internally as the ‘superintelligence’ team, is central to CEO Mark Zuckerberg’s plan to close the gap with competitors like Google and OpenAI.

Following disappointment over Meta’s recent AI model, Llama 4, Zuckerberg hopes the newly acquired expertise will help improve future models and expand AI capabilities in areas like voice and personalisation.

Zuckerberg has taken a hands-on approach, personally recruiting engineers and researchers, sometimes meeting with them at his homes in California. Meta is reportedly offering compensation packages worth tens of millions of dollars, including equity, to attract leading AI talent.

The company aims to hire around 50 people for the team and is also seeking a chief scientist to help lead the effort.

The broader strategy involves investing heavily in data, chips, and human expertise — three pillars of advanced AI development. By partnering with Scale AI and recruiting high-profile researchers, Meta is trying to strengthen its position in the AI race.

Meanwhile, rivals like Google are reinforcing their defences, with Koray Kavukcuoglu named as chief AI architect in a new senior leadership role to ensure DeepMind’s technologies are more tightly integrated into Google’s products.

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Apple brings AI tools to apps and Siri

Apple is rolling out Apple Intelligence, its generative AI platform, across popular apps including Messages, Mail, and Notes. Introduced in late 2024 and expanded in 2025, the platform blends text and image generation, redesigned Siri features, and integrations with ChatGPT.

The AI-enhanced Siri can now edit photos, summarise content, and interact across apps with contextual awareness. Writing tools offer grammar suggestions, tone adjustments, and content generation, while image tools allow for Genmoji creation and prompt-based visuals via the Image Playground app.

Unlike competitors, Apple uses on-device processing for many tasks, prioritising privacy. More complex queries are sent to its Private Cloud Compute system running on Apple Silicon, with a visible fallback if offline. Additional features like Visual Intelligence and Live Translation are expected later in 2025.

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Quantum cybersecurity goes live in Paris

Orange Business and Toshiba Europe have launched France’s first commercial quantum-safe network service in Paris.

The Orange Quantum Defender, now living in the greater Paris region, aims to shield organisations from cyber threats posed by future quantum computing capabilities.

The service combines Toshiba’s Quantum Key Distribution and Post-Quantum Cryptography technologies to protect sensitive data with a multi-layered approach. A major French financial institution already uses the network to safeguard its critical infrastructure.

After years of testing, the partners confirmed the system works over existing fibre networks, cutting costs and easing enterprise adoption.

Leaders at both companies say the launch marks a turning point in cybersecurity preparedness for the quantum age.

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IBM sets 2029 target for quantum breakthrough

IBM has set out a detailed roadmap to deliver a practical quantum computer by 2029, marking a major milestone in its long-term strategy.

The company plans to build its ‘Starling’ quantum system at a new data centre in Poughkeepsie, New York, targeting around 200 logical qubits—enough to begin outperforming classical computers in specific tasks instead of lagging due to error correction limitations.

Quantum computers rely on qubits to perform complex calculations, but high error rates have held back their potential. IBM shifted its approach in 2019, designing error-correction algorithms based on real, manufacturable chips instead of theoretical models.

The change, as the company says, will significantly reduce the qubits needed to fix errors.

With confidence in its new method, IBM will build a series of quantum systems until 2027, each advancing toward a larger, more capable machine.

Vice President Jay Gambetta stated the key scientific questions have already been resolved, meaning what remains is primarily an engineering challenge instead of a scientific one.

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Sam Altman predicts AI will discover new ideas

In a new blog post titled The Gentle Singularity, OpenAI CEO Sam Altman predicted that AI systems capable of producing ‘novel insights’ may arrive as early as 2026.

While Altman’s essay blends optimism with caution, it subtly signals the company’s next central ambition — creating AI that goes beyond repeating existing knowledge and begins generating original ideas instead of mimicking human reasoning.

Altman’s comments echo a broader industry trend. Researchers are already using OpenAI’s recent o3 and o4-mini models to generate new hypotheses. Competitors like Google, Anthropic and FutureHouse are also shifting their focus towards scientific discovery.

Google’s AlphaEvolve has reportedly devised novel solutions to complex maths problems, while FutureHouse claims to have built AI capable of genuine scientific breakthroughs.

Despite the optimism, experts remain sceptical. Critics argue that AI still struggles to ask meaningful questions, a key ingredient for genuine insight.

Former OpenAI researcher Kenneth Stanley, now leading Lila Sciences, says generating creative hypotheses is a more formidable challenge than agentic behaviour. Whether OpenAI achieves the leap remains uncertain, but Altman’s essay may hint at the company’s next bold step.

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Europe’s new digital diplomacy: From principles to power

In a decisive geopolitical shift, the European Union has unveiled its 2025 International Digital Strategy, signalling a turn from a values-first diplomacy to a focus on security and competitiveness. As Jovan Kurbalija explains in his blog post titled ‘EU Digital Diplomacy: Geopolitical shift from focus on values to economic security‘, the EU is no longer simply exporting its regulatory ideals — often referred to as the ‘Brussels effect’ — but is now positioning digital technology as central to its economic and geopolitical resilience.

The strategy places special emphasis on building secure digital infrastructure, such as submarine cables and AI factories, and deepening digital partnerships across continents. Unlike the 2023 Council Conclusions, which promoted a human-centric, rights-based approach to digital transformation, the 2025 Strategy prioritises tech sovereignty, resilient supply chains, and strategic defence-linked innovations.

Human rights, privacy, and inclusivity still appear, but mainly in supporting roles to broader goals of power and resilience. The EU’s new path reflects a realpolitik understanding that its survival in the global tech race depends on alliances, capability-building, and a nimble response to the rapid evolution of AI and cyber threats.

In practice, this means more digital engagement with key partners like India, Japan, and South Korea and coordinated global investments through the ‘Tech Team Europe’ initiative. The strategy introduces new structures like a Digital Partnership Network while downplaying once-central instruments like the AI Act.

With China largely sidelined and relations with the US in ‘wait and see’ mode, the EU seems intent on building an independent but interconnected digital path, reaching out to the Global South with a pragmatic offer of secure digital infrastructure and public-private investments.

Why does it matter?

Yet, major questions linger: how will these ambitious plans be implemented, who will lead them, and can the EU maintain coherence between its internal democratic values and this outward-facing strategic assertiveness? As Kurbalija notes, the success of this new digital doctrine will hinge on whether the EU can fuse its soft power legacy with the hard power realities of a turbulent tech-driven world.

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OpenAI’s revenue almost doubles to $10 billion

OpenAI has revealed that its annualised revenue has surged to $10 billion as of June 2025, nearly doubling since December 2024, when it stood at $5.5 billion.

The rapid growth is driven by the widespread adoption of its ChatGPT AI models across consumer and business markets, putting the company on course to meet its earlier goal of $12.7 billion in revenue for the whole year.

The $10 billion figure excludes licensing income from Microsoft, a major investor, and some large one-off contracts, according to an OpenAI spokesperson. Despite recording a loss of about $5 billion last year, OpenAI’s impressive revenue scale places it well ahead of many rivals benefiting from the AI boom.

Other players in the AI space are also seeing strong growth. For instance, Anthropic recently surpassed $3 billion in annualised revenue, driven by startup demand using its code-generation models. Meanwhile, OpenAI plans to raise up to $40 billion in new funding, valuing the company at $300 billion.

Since launching ChatGPT over two years ago, OpenAI has expanded its offerings with various subscription plans and services. The company reported 500 million weekly active users as of March 2025, underscoring its dominant position in the AI market.

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AI chip boom fuels TSMC revenue surge

Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s leading contract chipmaker, reported a significant 39.6% year-over-year surge in May revenue, reaching NT$320.52 billion ($10.70 billion).

This robust growth is primarily attributed to sustained high demand for its AI chips. The company, a key supplier to tech giants like Apple and Nvidia, has seen its US-listed shares rise over 2% in premarket trading, extending their 5% gain so far this year.

Despite May’s revenue being down 8% from April’s figure, the chipmaker’s January-to-May revenue climbed nearly 43% compared to the same period last year, reaching NT$1.51 trillion.

This strong performance underpins TSMC’s ambitious expansion plans, including a previously announced intent to invest $100 billion in U.S.-based chip-manufacturing facilities.

TSMC CEO C.C. Wei reiterated the company’s full-year 2025 revenue projection in April, anticipating an increase of ‘close to mid-20s percent in US dollar terms.’

The continued strong demand for AI chips is expected to be a major driver in achieving these financial targets, solidifying TSMC’s critical role in the global technology landscape.

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