ai

Reliance set for $50 billion growth with AI and green energy

According to analysts at Morgan Stanley, Reliance Industries is set to grow its market value by $50 billion through large-scale investments in AI infrastructure and new energy. The conglomerate, led by Mukesh Ambani, is retooling its energy and digital units as part of a long-term transformation strategy.

Central to this growth is constructing a generative AI data centre in Jamnagar, India, which will feature 1GW of capacity powered by 1.3GW of green energy. Reliance plans to source this power from its rapidly scaling renewable ecosystem, including solar and green hydrogen.

The firm aims to integrate 10GW of solar capacity by 2026 and has launched lithium battery and green hydrogen projects on a 2,000-acre site in Gujarat. Nvidia’s Blackwell chips will power the upcoming data centres, signalling Reliance’s ambition to make India a hub for next-gen digital infrastructure.

Morgan Stanley estimates up to $60 billion in value creation from the clean energy vertical alone, as Reliance uses electricity to drive data centres, refineries, and chemical facilities. The strategy reflects a broader vision to replace traditional operations with AI-driven, sustainable systems at a global scale.

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Capgemini invests in AI-driven operations with WNS

Capgemini has announced it will acquire Indian IT firm WNS for $3.3 billion to accelerate its leadership in agentic AI. The acquisition will significantly enhance Capgemini’s business process services (BPS) by integrating advanced AI capabilities into core operations.

The boards of both companies have approved the deal, which offers WNS shareholders a 28% premium over the 90-day average share price. Completion is expected by the end of 2025, pending regulatory approvals.

The company sees strong potential in embedding AI into enterprise operations, with BPS becoming a key showcase. The integration will strengthen Capgemini’s US presence and unlock cross-selling opportunities across the combined client networks.

Both firms emphasised a shared vision of intelligent operations powered by agentic AI, aiming to help clients shift from automation to AI-driven autonomy. Capgemini’s existing partnerships with tech giants like Microsoft, Google and NVIDIA will support this vision.

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Podcast-based training helps improve AI dialogue

Researchers have developed PodGPT, a new AI model designed to enhance reasoning and dialogue skills by training on scientific podcasts. The project aims to integrate dynamic, conversational audio data into language models to boost their performance in STEMM subjects.

The team used over 3,700 hours of English-language STEMM podcast transcripts, alongside material from the New England Journal of Medicine. Transcripts were generated using Whisper large-v3 and fed into open-source AI models such as Gemma, Mixtral, and LLaMA.

PodGPT improves multilingual understanding and factual accuracy, particularly in answering science-based queries. It also performs better at retrieving evidence from long documents and engaging in human-like scientific dialogue.

The researchers suggest that podcast-based training provides more realistic language use and diverse reasoning patterns than traditional datasets. Their work demonstrates the value of spoken, expert-led content in preparing models for advanced scientific applications.

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East Meets West: Reimagining education in the age of AI

At the WSIS+20 High-Level Event in Geneva, the session ‘AI (and) education: Convergences between Chinese and European pedagogical practices’ brought together educators, students, and industry experts to examine how AI reshapes global education.

Led by Jovan Kurbalija of Diplo and Professor Hao Liu of Beijing Institute of Technology (BIT), with industry insights from Deloitte’s Norman Sze, the discussion focused on the future of universities and the evolving role of professors amid rapid AI developments.

Drawing on philosophical traditions from Confucius to Plato, the session emphasised the need for a hybrid approach that preserves the human essence of learning while embracing technological transformation.

Professor Liu showcased BIT’s ‘intelligent education’ model, a human-centred system integrating time, space, knowledge, teachers, and students. Moving beyond rigid, exam-focused instruction, BIT promotes creativity and interdisciplinary learning, empowering students with flexible academic paths and digital tools.

Jovan Kurbalija at WSIS+20 High-Level Event 2025
Jovan Kurbalija, Executive Director of Diplo

Meanwhile, Norman Sze highlighted how AI has accelerated industry workflows and called for educational alignment with real-world demands. He argued for reorienting learning around critical thinking, ethical literacy, and collaboration—skills that AI cannot replicate and remain central to personal and professional growth.

A key theme was whether teachers and universities remain relevant in an AI-driven future. Students from around the world contributed compelling reflections: AI may offer efficiency, but it cannot replace the emotional intelligence, mentorship, and meaning-making that only human educators provide.

As one student said, ‘I don’t care about ChatGPT—it’s not human.’ The group reached a consensus: professors must shift from ‘sages on the stage’ to ‘guides on the side,’ coaching students through complexity rather than merely transmitting knowledge.

The session closed on an optimistic note, asserting that while AI is a powerful catalyst for change, the heart of education lies in human connection, dialogue, and the ability to ask the right questions. Participants agreed that a truly forward-looking educational model will emerge not from choosing between East and West or human and machine, but from integrating the best of all to build a more inclusive and insightful future of learning.

Track all key events from the WSIS+20 High-Level Event 2025 on our dedicated page.

Google hit with EU complaint over AI Overviews

After a formal filing by the Independent Publishers Alliance, Google has faced an antitrust complaint in the European Union over its AI Overviews feature.

The group alleges that Google has been using web content without proper consent to power its AI-generated summaries, causing considerable harm to online publishers.

The complaint claims that publishers have lost traffic, readers and advertising revenue due to these summaries. It also argues that opting out of AI Overviews is not a real choice unless publishers are prepared to vanish entirely from Google’s search results.

AI Overviews were launched over a year ago and now appear at the top of many search queries, summarising information using AI. Although the tool has expanded rapidly, critics argue it drives users away from original publisher websites, especially news outlets.

Google has responded by stating its AI search tools allow users to ask more complex questions and help businesses and creators get discovered. The tech giant also insisted that web traffic patterns are influenced by many factors and warned against conclusions based on limited data.

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EU rejects delay for AI Act rollout

The EU has confirmed it will enforce its originally scheduled AI Act, despite growing calls from American and European tech firms to delay the rollout.

Major companies, including Alphabet, Meta, ASML and Mistral, have urged the European Commission to push back the timeline by several years, citing concerns over compliance costs.

Rejecting the pressure, a Commission spokesperson clarified there would be no pause or grace period. The legislation’s deadlines remain, with general-purpose AI rules taking effect this August and stricter requirements for high-risk systems following August 2026.

The AI Act represents the EU’s effort to regulate AI across various sectors, aiming to balance innovation and public safety. While tech giants argue that the rules are too demanding, the EU insists legal certainty is vital and the framework must move forward as planned.

The Commission intends to simplify the process later in the year, such as easing reporting demands for smaller businesses. Yet the core structure and deadlines of the AI Act will not be altered.

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BRICS calls for AI data regulations amid challenges with de-dollarisation

BRICS leaders in Rio de Janeiro have called for stricter global rules on how AI uses data, demanding fair compensation for content used without permission.

The group’s draft statement highlights growing frustration with tech giants using vast amounts of unlicensed content to train AI models.

Despite making progress on digital policy, BRICS once again stalled on a long-standing ambition to reduce reliance on the US dollar.

After a decade of talks, the bloc’s cross-border payments system remains in limbo. Member nations continue to debate infrastructure, governance and how to work around non-convertible currencies and sanctions.

China is moving independently, expanding the yuan’s international use and launching domestic currency futures.

Meanwhile, the rest of the bloc struggles with legal, financial and technical hurdles, leaving the dream of a unified alternative to the dollar on hold. Even a proposed New Investment Platform remains mired in internal disagreements.

In response to rising global debt concerns, BRICS introduced a Multilateral Guarantees Initiative within the New Development Bank. It aims to improve credit access across the Global South without needing new capital, especially for countries struggling to borrow in dollar-dominated markets.

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Ooredoo launches local AI cloud service in Qatar

Ooredoo has unveiled a new sovereign AI cloud service powered by NVIDIA Hopper GPUs, hosted locally in Qatar’s data centres. The move supports the country’s broader aim to advance digital transformation and position itself as a regional leader in AI innovation.

The service accelerates AI adoption across key sectors such as energy, finance, logistics, healthcare and smart cities. As an NVIDIA Cloud Partner, Ooredoo now provides customers access to cutting-edge GPU technology and the NVIDIA AI Enterprise platform for developing and scaling AI solutions.

Use cases include real-time financial analysis, supply chain optimisation and chatbot development, all supported by high-performance cloud computing infrastructure operated by Syntys. These capabilities aim to deliver robust local AI services that meet national security and sovereignty requirements.

The initiative aligns with the Qatar Digital Agenda 2030 and the National AI Strategy, which advocate for local hosting, advanced digital infrastructure and responsible AI development. Ooredoo’s CEO, Sheikh Ali Bin Jabor Al-Thani, said the project will drive economic growth and innovation across all levels of society.

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Vietnam adopts AI in elite sports training

Vietnam is integrating AI technology into its national sports training programmes to improve performance in international competitions. A new partnership between the Sports Authority of Việt Nam (SAV) and Dreamax Company will see AI applied from 2025 to 2030.

The Vietnamese technology will analyse performance data, monitor adaptation to training, and predict injury risk using devices that collect environmental and spatial indicators. The first implementations are set to begin next week, marking a shift towards data-driven performance evaluation and coaching.

SAV Director Nguyễn Danh Hoàng Việt said the initiative addresses outdated systems and builds on the country’s recent sporting successes by offering more sophisticated and personalised training. Dreamax stated that the AI system supports national management and provides public insight into sporting progress.

Collected data, managed as national security information, will be analysed to measure the programme’s impact over its first year. If successful, the AI-based approach may expand to other teams as Vietnam targets greater achievements in future Asian Games and Olympic events.

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AI tool could change marine forecasting methods

An AI-driven forecasting tool developed by the Met Office and the University of Exeter is poised to reshape how marine operations are planned. The low-cost model, MaLCOM, has successfully predicted ocean currents in the Gulf of Mexico.

Designed initially to forecast regional wave patterns around the UK, the framework’s adaptability is now helping model ocean currents in new environments.

The tool’s ability to run on a laptop makes it highly accessible, offering real-time insights that could aid offshore energy.

Researchers emphasise the importance of the model’s transparency, which allows users to inspect how it processes data and generates forecasts. This design supports trust in its outputs and offers a strong foundation for ongoing development.

The project began five years ago and has grown through collaboration between academia, government and industry.

Its recent recognition with the ASCE Offshore Technology Conference Best Paper Award underscores the value of partnerships in accelerating progress in AI-based weather and climate tools.

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