E-commerce and trade

Deutsche Telekom expands partnership with Google Cloud

Deutsche Telekom has strengthened its collaboration with Google, moving more of its services to the Google Cloud platform as part of its transformation into an ‘AI-first company.’ The expanded partnership aims to improve the agility and efficiency of Deutsche Telekom’s operations through AI-driven solutions.

Stefan Schloter, Chief Infrastructure Officer for Europe at Deutsche Telekom, highlighted how leveraging data and AI will enhance digital solutions across business entities, software engineering, and customer interfaces.

The MyMagenta app, for example, will integrate Google’s AI-powered Gemini assistant, further improving customer experience.

Google Cloud will also serve as the technical foundation of Deutsche Telekom’s new AI platform, the ‘One Data Ecosystem.’ However, this platform consolidates data systems and enhances data processing speed while ensuring compliance with privacy and data-sharing regulations.

Marianne Janik, Vice President of Google Cloud for Northern Europe, expressed excitement about the partnership, noting how cloud technology is pivotal for communications providers in driving innovation, flexibility, and growth for enhanced user experiences.

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Microsoft rethinks AI data centre strategy amid market shifts

Microsoft has reportedly scaled back or delayed several major data centre projects, just three months after announcing plans to invest $80 billion in AI infrastructure through the current fiscal year.

According to Bloomberg, the company has paused developments in multiple locations, including Australia, Indonesia, the United Kingdom, and US states such as Illinois, North Dakota, and Wisconsin.

Instead of denying the report, Microsoft confirmed adjustments to its plans, citing the need for long-term flexibility. A spokesperson said the company continuously reviews future infrastructure needs to ensure alignment with growing AI demand, adding that the changes reflect Microsoft’s adaptable strategy.

The halted projects include negotiations for high-performance AI chip facilities in the UK and a site near Chicago, along with construction delays in Jakarta and Wisconsin.

These moves come amid growing scrutiny over whether the AI sector is entering a bubble, especially as emerging models challenge the assumption that vast computing power is always necessary for innovation.

Instead of sticking to high-cost development, Microsoft may be responding to a new trend: efficient, lower-cost AI models from Chinese firms that rival those of Western tech giants.

With AI development costs dropping and access expanding, Microsoft’s strategic pause could reflect a shift towards a more sustainable and agile future in AI infrastructure.

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India among few developing nations with strong AI investment

India and China were the only developing nations to attract notable private investment in AI in 2023, according to the UN’s Technology and Innovation Report 2025. Instead of the US simply leading the field, it dominated with $67 billion in AI investment, accounting for 70 per cent of the global total.

China followed with $7.8 billion, while India ranked tenth worldwide with $1.4 billion. Instead of being evenly distributed, access to AI infrastructure and research remains heavily concentrated in a handful of countries, mainly the US and China.

India’s rise in the AI space stems from policy-driven innovation and education rather than organic growth alone. It climbed to 36th place out of 170 on the UNCTAD Frontier Technologies Readiness Index in 2024, improving from 48th in 2022.

Instead of only focusing on economic size, the index measures readiness through ICT availability, skills, R&D, industrial capacity, and financing. India performed well in R&D and industrial capacity but fell behind in ICT access and skill development.

India has supported its AI ecosystem through collaboration between the government, academia, and the private sector. The country hosts a large developer base, around 13 million, and contributes actively to generative AI projects on platforms like GitHub.

Programmes such as the India AI Mission aim to boost AI education and innovation in smaller cities, instead of keeping progress limited to major urban centres. Institutes like IIT Hyderabad and IIT Kharagpur were named among the country’s key centres of AI excellence.

Still, India faces challenges in expanding its AI capabilities across all sectors. Instead of allowing AI to widen inequalities, the report urges investment in workforce reskilling and inclusion. While AI can boost productivity, it may also displace jobs unless paired with supportive policies.

The technology, if harnessed wisely, could create new industries and strengthen employment rather than replace it.

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Apple and Samsung brace for impact as US tariffs take effect

US President Donald Trump has announced new import tariffs that could significantly impact smartphone prices and the profit margins of leading manufacturers.

Apple and Samsung, which dominate United States smartphone sales, are particularly vulnerable due to their heavy reliance on production in China and Vietnam. Under the new tariff scheme, China faces a 34 per cent import levy, while Vietnam is subject to a 46 per cent fee.

Industry analysts warn that if the tariffs remain unchanged, consumers will likely see higher prices on smartphones and other electronic devices.

Ben Wood, chief analyst at CCS Insight, noted that Apple and Samsung may attempt to cushion some of the added costs, but this would put pressure on their profit margins.

Foxconn, Apple’s primary manufacturing partner, has been shifting production to India in an effort to reduce reliance on China. However, India is also affected by the tariffs, facing a 26 per cent reciprocal rate.

Samsung faces similar challenges, with limited options to offset the impact of the new tariffs. Even if the company moved all production back to South Korea, it would still be subject to a 25 per cent import duty.

The new tariff measures are expected to have broad implications for the consumer electronics industry, potentially reshaping global supply chains and pricing structures.

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Siemens buys Dotmatics to boost AI drug research

Siemens announced on Wednesday its acquisition of US software firm Dotmatics for $5.1 billion, aiming to enhance its AI capabilities for drug discovery.

The German company described the deal as complementary to its expansion into Life Sciences, positioning itself in a market increasingly reliant on digital transformation to meet growing medical needs.

Siemens expects Dotmatics to generate $100 million annually in the mid-term, rising to $500 million in the long run, and said the acquisition would be immediately profitable. The transaction is set to be completed in the first half of next year.

Founded in 2005, Dotmatics employs 800 people and specialises in AI-driven R&D software designed to accelerate drug research. This move follows Siemens’ recent $10 billion purchase of another AI-powered US software firm, Altair Engineering.

As Siemens’ industrial software faces slowing demand, its digital division has been driving revenue growth instead of its traditional factory automation products. The company, Germany’s second-largest by market value, continues expanding its software portfolio to capitalise on AI-driven innovations.

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Are digital taxes the new frontline in global trade warfare?

While President Trump’s tariffs on goods dominate headlines, a more consequential battle is brewing over digital services. US tech giants like Meta, Google, and Amazon wield unparalleled global dominance in this sector.

In just-in-time analysis, Jovan Kurbalija argues that Trump’s fixation on traditional trade levers (steel, cars) overlooks a critical vulnerability for the United States: the use of digital services taxes (DSTs) and regulatory pressure by the EU and other trading partners to counterbalance new US tariff.

The collapse of OECD-led multilateral tax negotiations in 2024 has triggered a resurgence of unilateral DSTs, from Canada’s retroactive levy to India’s expanded ‘equalization levy’ and revived EU proposals for bloc-wide digital taxes.

Kurbalija analyses how digital taxation redefines trade diplomacy, with implications ranging from recalibrated leverage (host nations exploiting US tech dependence) to governance gaps (WTO rules ill-equipped for digital disputes). It poses new challenges for digital diplomacy, AI negotiations, and internet governance.

He warns that failure to address this ‘invisible trade war’ could escalate tit-for-tat measures, jeopardizing both physical goods trade and the digital economy. The rise of data and sovereignty will be inevitable.

Ultimately, the piece underscores a paradigm shift: in the 21st-century economy, algorithms, and data flows are as strategically vital as steel beams—and more impactful for economic well-being and global prosperity.

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Retail stocks slump after tariff shock

Retail giants are facing sharp declines in after-hours trading as new tariffs from the US on imports from China, the European Union, and Vietnam begin to rattle markets. Walmart and Amazon both saw their shares fall, with Nike also heavily impacted due to its dependence on Chinese manufacturing.

Walmart’s drop of over 4% reflects its heavy reliance on Chinese imports, with roughly 70% of its merchandise tied to the country. Amazon, similarly exposed through its third-party sellers, dipped close to 5% amid fears that rising costs will force sellers to raise prices, dampening consumer demand. These developments could severely affect the upcoming holiday shopping season.

Nike, meanwhile, saw shares fall by more than 6% as news emerged that many of its products, including popular sneakers, are produced in China and Vietnam. Although the company has been diversifying production to Vietnam, the move offers little relief now, as Vietnam faces an even steeper 46% tariff. The new policies may force widespread price hikes, putting further pressure on consumers and the broader retail sector.

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Chinese tech firm Honor bets big on AI devices

Chinese smartphone maker Honor has unveiled a $10 billion investment plan aimed at advancing AI technologies across its product ecosystem. The announcement was made by CEO James Li at the Mobile World Congress in Barcelona, where he outlined the company’s ambition to evolve beyond smartphones and expand into AI-powered PCs, tablets, and wearables.

The major funding initiative comes as Honor prepares for a public listing, following a shareholder restructuring completed in December. While a date for the IPO has yet to be confirmed, the company appears to be positioning itself as a key player in China’s AI race, spurred by growing domestic interest in large language models like those developed by DeepSeek.

Despite slipping to fourth place in China’s smartphone market last year, Honor continues to receive strong backing from the Shenzhen local government. Support has included R&D funding, tax incentives, and assistance with international expansion. The company’s strategic pivot to AI reflects broader trends in China’s tech sector, as firms seek to integrate smart features into a wider range of consumer devices.

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OpenAI CEO says India leads in AI creativity

Sam Altman sparked interest among Indian users on X after praising the country’s rapid AI adoption and sharing an AI-generated image of himself playing cricket. In his 2 April post, the OpenAI CEO called India’s AI creativity an ‘explosion,’ claiming the country was outpacing the world in adoption rates.

Users questioned why Altman singled out India, with some turning to AI chatbots like Perplexity and Grok for verification. His comments followed a February visit to India, where he met IT Minister Ashwini Vaishnaw and highlighted India as OpenAI’s second-largest market.

Altman’s remarks also came shortly after OpenAI’s GPT-4o update, which enhanced AI-generated images and illustrations. To showcase this, he shared an anime-style image of himself as a cricket player, sporting a Team India jersey.

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Emergence AI launches platform that builds AI with AI

The startup Emergence AI has launched a new no-code platform that allows users to generate custom AI agents simply by describing tasks in natural language.

These agents can then autonomously create other, more specialised agents to complete complex work, in real time and without requiring human coding expertise.

The system, which the company calls a breakthrough in ‘recursive intelligence’, checks its registry of agents for task compatibility. If existing agents aren’t suitable, new ones are created instantly to handle the job.

These can also anticipate related tasks, boosting automation across enterprise operations. Emergence AI claims the platform can seamlessly orchestrate collaboration among multiple agents, bringing a new level of efficiency to data transformation, migration, analytics, and even code generation and verification.

Users can select from a range of major large language models including OpenAI’s GPT-4.5, Anthropic’s Claude, and Meta’s Llama. Enterprises can also integrate their own models.

With safety and oversight in mind, Emergence AI has built in access controls, performance verification tools, and human review processes to ensure responsible deployment. Pricing has yet to be disclosed, but interested parties are encouraged to contact the firm directly.

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