E-commerce and trade

China bets big on humanoid robots to transform factories

Chinese start-up AgiBot is leading the charge in humanoid robotics, using data-intensive training to develop machines capable of everyday tasks like folding clothes and making sandwiches.

Backed by strong government support and over $20 billion in recent subsidies, China sees these AI-powered robots as a way to maintain its manufacturing edge amid demographic decline and global trade tensions. President Xi Jinping’s recent visit to AgiBot underlined the political significance of this push.

Humanoid robots in China are rapidly advancing beyond demonstration, with models already performing somersaults and quality checks on production lines. With the cost of components falling and state-backed funding expanding, firms like Unitree and UBTech are entering or preparing for mass production.

Analysts predict global sales of humanoid robots could reach one million annually by 2030, with China dominating both manufacturing and the underlying supply chains. The rise of humanoids has raised concerns over job displacement in a nation with over 120 million factory workers.

Lawmakers are debating AI-related unemployment insurance, while others argue robots can fill roles that are dull, dangerous or undesirable. The technology is also being positioned as a solution for elderly care, with firms like Ant Lingbo developing service robots for ageing populations.

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Google tests AI tool to automate software development

Google is internally testing an advanced AI tool designed to support software engineers through the entire development cycle, according to The Information. The firm is also expected to demonstrate integration between its Gemini chatbot in voice mode and Android-powered XR headsets.

The agentic AI assistant is said to handle tasks such as code generation and documentation, and has already been previewed to staff and developers ahead of Google’s I/O conference on 20 May. The move reflects a wider trend among tech giants racing to automate programming.

Amazon is developing its own coding assistant, Kiro, which can process both text and visual inputs, detect bugs, and auto-document code. While AWS initially targeted a June launch, the current release date remains uncertain.

Microsoft and Google have claimed that around 30% of their code is now AI-generated. OpenAI is also eyeing expansion, reportedly in talks to acquire AI coding start-up Windsurf for $3 billion.

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M&S urges password reset after major cyber incident

Marks & Spencer has confirmed that hackers accessed personal customer information in a cyber-attack that began in late April. The retailer stated that no payment details or account passwords were compromised, and there is currently no evidence the stolen data has been shared.

Customers will be prompted to reset their passwords as a precaution. Chief executive Stuart Machin called the breach a result of a sophisticated attack and apologised for the disruption, which has impacted online orders, app functionality, and some in-store services.

Although stores remain open, the company has been unable to process online purchases since 25 April. A hacking group known as Scattered Spider is believed to be behind the incident.

M&S has contacted affected customers and provided guidance on online safety. The company said it is working ‘around the clock’ to resolve the issue and restore normal operations. Customers are thanked for their patience and continued support.

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US scraps Biden AI chip export rule

The US Department of Commerce has scrapped the Biden administration’s Artificial Intelligence Diffusion Rule just days before it was due to come into force.

Introduced in January, the rule would have restricted the export of US-made AI chips to many countries for the first time, while reinforcing existing controls.

Rather than enforcing broad restrictions, the Department now intends to pursue direct negotiations with individual countries.

The original rule divided the world into three tiers, with countries like Japan and South Korea spared restrictions, middle-tier countries such as Mexico and Portugal facing new limits, and nations like China and Russia subject to tighter controls.

According to Bloomberg, a replacement rule is expected at a later date.

Instead of issuing immediate new regulations, officials released industry guidance warning companies against using Huawei’s Ascend AI chips and highlighted the risks of allowing US chips to train AI in China.

Secretary Jeffrey Kessler criticised the Biden-era policy, promising a ‘bold, inclusive’ AI strategy that works with allies while limiting access for adversaries.

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US Copyright Office avoids clear decision on AI and fair use

The US Copyright Office has stopped short of deciding whether AI companies can legally use copyrighted material to train their systems under fair use.

Its newly released report acknowledges that some uses—such as non-commercial research—may qualify, while others, like replicating expressive works from pirated content to produce market-ready AI output, likely won’t.

Rather than offering a definitive answer, the Office said such cases must be assessed by the courts, not through a universal standard.

The latest report is the third in a series aimed at guiding how copyright law applies to AI-generated content. It reiterates that works entirely created by AI cannot be copyrighted, but human-edited outputs might still qualify.

The 108-page document focuses heavily on whether AI training methods transform content enough to justify legal protection, and whether they harm creators’ livelihoods through lost sales or diluted markets.

Instead of setting new policy, the Office highlights existing legal principles, especially the four factors of fair use: the purpose, the nature of the work, the amount used, and the impact on the original market.

It notes that AI-generated content can sometimes alter original works meaningfully, but when styles or outputs closely resemble protected material, legal risks remain. Tools like content filters are seen as helpful in preventing infringement, even though they’re not always reliable.

The timing of the report has been overshadowed by political turmoil. President Donald Trump reportedly dismissed both the Librarian of Congress and the head of the Copyright Office days before the report’s release.

Meanwhile, creators continue urging the government not to permit fair use in AI training, arguing it threatens the value of original work. The debate is now expected to unfold further in courtrooms instead of regulatory offices.

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Alphabet stock dips as AI tools begin to dent Google search volumes

Alphabet shares fell sharply on Wednesday following courtroom testimony that Google searches on Apple’s Safari browser declined in April—reportedly for the first time ever.

Apple’s senior executive Eddy Cue said the drop came as users increasingly turned to AI tools like ChatGPT and Perplexity instead of traditional search engines.

The market reaction was swift, with Alphabet losing ground before partially recovering after Google clarified that overall search volumes remain on the rise.

Several analysts argued the sell-off may have been exaggerated, noting Apple’s incentive to downplay Google’s dominance as the companies face antitrust scrutiny. In 2022, Google reportedly paid Apple $20 billion to remain Safari’s default search provider.

Still, some analysts warn of a longer-term shift. Tech veteran Gene Munster called it the ‘beginning of the decline’, arguing that the way people find information is undergoing a fundamental change. Unlike search results pages, AI assistants provide direct answers—undermining Google’s ad-driven revenue model.

While Alphabet still owns a broad portfolio including YouTube, Android, Google Cloud and autonomous driving company Waymo, its core business is facing structural headwinds.

Investors are already adjusting expectations. Alphabet’s price-to-earnings ratio has dropped to 18, down from a 10-year average of 28, reflecting growing concerns around disruption.

Some see an opportunity; others, a reckoning. Whether this moment marks a short-term dip or a longer-term revaluation will depend on how Google adapts to the AI-driven shift in how people search for—and monetise—information.

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Scale AI expands into Saudi Arabia and UAE

Scale AI, a San Francisco-based startup backed by Amazon, plans to open a new office in Riyadh by the end of the year as part of its broader Middle East expansion.

The company also intends to establish a presence in the United Arab Emirates, although it has yet to confirm the timeline for that move.

Trevor Thompson, the company’s global managing director, said the Gulf is among the fastest-growing regions for AI adoption outside of the US and China.

Gulf states like Saudi Arabia have been investing heavily in tech startups, data centres and computing infrastructure, urging companies to set up local operations and create regional jobs. Salesforce, for instance, has already begun hiring for a $500 million investment in the kingdom.

Founded in 2016, Scale AI provides data-labelling services essential for training AI products, relying on a vast network of contract workers. Its clients include OpenAI and Microsoft.

The company hit a $13.8 billion valuation last year after a $1 billion funding round backed by Amazon, Meta and others.

In 2024, it generated about $870 million in revenue and is reportedly in talks for a deal that could nearly double its value.

Scale AI is also strengthening its regional ties. In February, it signed a five-year agreement with Qatar to enhance public services, followed by a partnership with Abu Dhabi-based Inception in March.

The news coincides with former President Donald Trump’s upcoming visit to Saudi Arabia, where his team is considering lifting export controls on advanced AI chips, potentially boosting the Gulf’s access to cutting-edge technology.

Notably, Scale AI’s former managing director, Michael Kratsios, now advises Trump on tech matters.

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Microsoft and OpenAI rework billion dollar deal

OpenAI and Microsoft are renegotiating the terms of their multibillion-dollar partnership in a move designed to allow the ChatGPT maker to pursue a future public listing, while ensuring Microsoft retains access to its most advanced AI technology.

According to the Financial Times, the talks are centred around adjusting Microsoft’s equity stake in OpenAI’s for-profit arm.

The software giant has invested over US$13 billion in OpenAI and is reportedly prepared to reduce its stake in exchange for extended access to AI developments beyond the current 2030 agreement.

The revisions also include changes to a broader agreement first established in 2019 when Microsoft committed US$1 billion to the partnership.

The restructuring reflects OpenAI’s shift in strategy as it prepares for potential independence from its largest investor. Recent reports suggest the company plans to share a smaller portion of its future revenue with Microsoft, instead of maintaining current terms.

Microsoft has declined to comment on the ongoing negotiations, and OpenAI has yet to respond.

The talks follow Microsoft’s separate US$500 billion joint venture with Oracle and SoftBank to build AI data centres in the US, further signalling the strategic value of securing long-term access to cutting-edge models.

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Microsoft expands cloud push across Europe

Microsoft has unveiled a new set of commitments aimed at strengthening its digital presence across Europe, pledging to expand cloud and AI infrastructure while supporting the region’s economic competitiveness.

Announced by Microsoft President Brad Smith in Brussels, the ‘European Digital Commitments’ include a promise to increase European data centre capacity by 40% within two years, bringing the total to over 200 across 16 countries.

Smith explained that Microsoft’s goal is to provide technology that helps individuals and organisations succeed, rather than simply expanding its reach. He highlighted AI as essential to modern economies, describing it as a driving force behind what he called the ‘AI economy.’

Alongside job creation, Microsoft hopes its presence will spark wider economic benefits for customers and partners throughout the continent.

To ease concerns around data security, particularly in light of US–EU geopolitical tensions, Microsoft has added clauses in agreements with European institutions allowing it to legally resist any external order to halt operations in Europe.

If such efforts failed, Microsoft has arranged for European partners to access its code stored securely in Switzerland, instead of allowing disruptions to affect vital digital services.

Although Microsoft’s investments stand to benefit Europe, they also underscore the company’s deep dependence on the region, with over a quarter of its business based there.

Smith insisted that Microsoft’s global success would not have been possible without its European footprint, and called for continued cooperation across the Atlantic—even in the face of potential tariff disputes or political strains.

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Google pays around $1.4 billion over privacy case

Google has agreed to pay $1.375 billion to settle a lawsuit brought by the state of Texas over allegations that it violated users’ privacy through features such as Incognito mode, Location History, and biometric data collection.

Despite the sizable sum, Google denies any wrongdoing, stating that the claims were based on outdated practices which have since been updated.

Texas Attorney General Ken Paxton announced the settlement, emphasising that large tech firms are not above the law.

He accused Google of covertly tracking individuals’ locations and personal searches, while also collecting biometric data such as voiceprints and facial geometry — all without users’ consent. Paxton claimed the state’s legal challenge had forced Google to answer for its actions.

Although the settlement resolves two lawsuits filed in 2022, the specific terms and how the funds will be used remain undisclosed. A Google spokesperson maintained that the resolution brings closure to claims about past practices, instead of requiring any changes to its current products.

The case comes after a similar $1.4 billion agreement involving Meta, which faced accusations of unlawfully gathering facial recognition data. The repeated scrutiny from Texas authorities signals a broader pushback against the data practices of major tech companies.

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