Sustainable development

Data infrastructure growth in India raises environmental concerns

India’s data centre market is expanding rapidly, driven by rapid AI adoption, mobile internet growth, and massive foreign investment from firms such as Google, Amazon and Meta. The sector is projected to expand 77% by 2027, with billions more expected to be spent on capacity by 2030.

Rapid expansion of energy-hungry and water-intensive facilities is creating serious sustainability challenges, particularly in water-scarce urban clusters like Mumbai, Hyderabad and Bengaluru. Experts warn that by 2030, India’s data centre water consumption could reach 358 billion litres, risking shortages for local communities and critical services in India.

Authorities and industry players are exploring solutions including treated wastewater, low-stress basin selection, and zero-water cooling technologies to mitigate environmental impact. Officials also highlight the need to mandate renewable energy use to balance India’s digital ambitions with decarbonisation goals.

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Oracle and Ci4CC join forces to advance AI in cancer research

Oracle Health and Life Sciences has announced a strategic collaboration with the Cancer Center Informatics Society (Ci4CC) to accelerate AI innovation in oncology. The partnership unites Oracle’s healthcare technology with Ci4CC’s national network of cancer research institutions.

The two organisations plan to co-develop an electronic health record system tailored to oncology, integrating clinical and genomic data for more effective personalised medicine. They also aim to explore AI-driven drug development to enhance research and patient outcomes.

Oracle executives said the collaboration represents an opportunity to use advanced AI applications to transform cancer research. The Ci4CC President highlighted the importance of collective innovation, noting that progress in oncology relies on shared data and cross-institution collaboration.

The agreement, announced at Ci4CC’s annual symposium in Miami Beach US, remains non-binding but signals growing momentum in AI-driven precision medicine. Both organisations see the initiative as a step towards turning medical data into actionable insights that could redefine oncology care.

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Companies call back workers as AI fails to replace jobs

As interest in AI grows, many companies that previously cut staff are now rehiring some of the same employees. Visier data shows about 5.3 percent of laid-off workers have returned, marking a steady but rising trend.

The findings suggest AI adoption has not yet replaced human labour at the scale some executives anticipated.

Visier’s analysis of 2.4 million employees across 142 global companies indicates that AI tools often automate parts of tasks rather than entire jobs. Experts say organisations are realising that AI implementation costs, including infrastructure, data systems, and security, often exceed initial projections.

Many companies now rely on experienced staff to manage or complement AI tools effectively.

Industry observers highlight a gap between expectations and outcomes. MIT research shows around 95 percent of firms have yet to see measurable financial returns from AI investments.

Cost-cutting measures such as layoffs also carry hidden expenses, with estimates suggesting companies spend $1.27 for every $1 saved when reducing staff.

Executives are urged to carefully assess AI’s true impact before assuming workforce reductions will deliver long-term savings. Rehiring former employees has become a practical response to bridge skill gaps and ensure technology integration succeeds without disrupting operations.

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AI conference in Egypt promotes innovation for a greener future

The National Telecommunication Institute (NTI) and Misr University for Science and Technology (MUST) jointly hosted a conference titled Artificial Intelligence for Environmental Sustainability.
The event focused on using technology to tackle global environmental challenges.

The conference aimed to advance research and innovation in applying artificial intelligence (AI) to support sustainable development.

Experts and academics discussed how AI can enhance environmental protection through smarter data analysis, improved monitoring systems, and reduced carbon emissions. The sessions explored AI’s role in promoting sustainability and highlighted new applications designed to manage resources more efficiently.

Students from MUST’s Faculty of Information Technology presented projects that showcased practical AI solutions for building a greener future. Their work reflected the conference’s goal of encouraging collaboration and applied research to address urgent environmental issues.

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UNDP and Algorand launch blockchain training for 24,000 staff

The United Nations Development Programme (UNDP) has officially expanded its Blockchain Academy to reach 24,000 personnel worldwide, including staff from UNDP, UN Volunteers, and the United Nations Capital Development Fund (UNCDF).

The initiative, launched in partnership with the Algorand Foundation, aims to strengthen understanding and practical use of blockchain technology to support sustainable development goals.

The academy’s expanded curriculum builds on a successful beta phase that certified over 30 UN personnel and introduced 18 hours of specialised training. It now offers advanced modules to help UN staff design transparent and efficient blockchain solutions for real-world challenges.

The training also fosters a collaborative network where participants share best practices and develop blockchain-driven projects across global programmes.

UNDP has used blockchain since 2015 to boost transparency and inclusion, from tracking supply chains to supporting energy trading and digital investments. Through its Algorand partnership, UNDP aims to speed up blockchain adoption by offering technical support and project incubation for scalable sustainable impact.

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Anthropic strengthens European growth through Paris and Munich offices

AI firm Anthropic is expanding its European presence by opening new offices in Paris and Munich, strengthening its footprint alongside existing hubs in London, Dublin, and Zurich.

An expansion that follows rapid growth across the EMEA region, where the company has tripled its workforce and seen a ninefold increase in annual run-rate revenue.

The move comes as European businesses increasingly rely on Claude for critical enterprise tasks. Companies such as L’Oréal, BMW, SAP, and Sanofi are using the AI model to enhance software, improve workflows, and ensure operational reliability.

Germany and France, both among the top 20 countries in Claude usage per capita, are now at the centre to Anthropic’s strategic expansion.

Anthropic is also strengthening its leadership team across Europe. Guillaume Princen will oversee startups and digital-native businesses, while Pip White and Thomas Remy will lead the northern and southern EMEA regions, respectively.

A new head will soon be announced for Central and Eastern Europe, reflecting the company’s growing regional reach.

Beyond commercial goals, Anthropic is partnering with European institutions to promote AI education and culture. It collaborates with the Light Art Space in Berlin, supports student hackathons through TUM.ai, and works with the French organisation Unaite to advance developer training.

These partnerships reinforce Anthropic’s long-term commitment to responsible AI growth across the continent.

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Meta invests $600 billion to expand AI data centres across the US

A $600 billion investment aimed at boosting innovation, job creation, and sustainability is being launched in the US by Meta to expand its AI infrastructure.

Instead of outsourcing development, the company is building its new generation of AI data centres domestically, reinforcing America’s leadership in technology and supporting local economies.

Since 2010, Meta’s data centre projects have supported more than 30,000 skilled trade jobs and 5,000 operational roles, generating $20 billion in business for US subcontractors. These facilities are designed to power Meta’s AI ambitions while driving regional economic growth.

The company emphasises responsible development by investing heavily in renewable energy and water efficiency. Its projects have added 15 gigawatts of new energy to US power grids, upgraded local infrastructure, and helped restore water systems in surrounding communities.

Meta aims to become fully water positive by 2030.

Beyond infrastructure, Meta has channelled $58 million into community grants for schools, nonprofits, and local initiatives, including STEM education and veteran training programmes.

As AI grows increasingly central to digital progress, Meta’s continued investment in sustainable, community-focused data centres underscores its vision for a connected, intelligent future built within the US.

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Inside OpenAI’s battle to protect AI from prompt injection attacks

OpenAI has identified prompt injection as one of the most pressing new challenges in AI security. As AI systems gain the ability to browse the web, handle personal data and act on users’ behalf, they become targets for malicious instructions hidden within online content.

These attacks, known as prompt injections, can trick AI models into taking unintended actions or revealing sensitive information.

To counter the issue, OpenAI has adopted a multi-layered defence strategy that combines safety training, automated monitoring and system-level security protections. The company’s research into ‘Instruction Hierarchy’ aims to help models distinguish between trusted and untrusted commands.

Continuous red-teaming and automated detection systems further strengthen resilience against evolving threats.

OpenAI also provides users with greater control, featuring built-in safeguards such as approval prompts before sensitive actions, sandboxing for code execution, and ‘Watch Mode’ when operating on financial or confidential sites.

These measures ensure that users remain aware of what actions AI agents perform on their behalf.

While prompt injection remains a developing risk, OpenAI expects adversaries to devote significant resources to exploiting it. The company continues to invest in research and transparency, aiming to make AI systems as secure and trustworthy as a cautious, well-informed human colleague.

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A €358 million EU investment strengthens the clean energy transition

The EU has announced more than €358 million in new funding for 132 environmental and climate projects under the LIFE Programme.

The investment covers over half of the total €536 million required, with the remainder coming from national and local governments, private partners and civil society.

A project that will advance the transition of the EU to a clean, circular and climate-resilient economy while supporting biodiversity, competitiveness and long-term climate neutrality.

Funding includes €147 million for nature and biodiversity, €76 million for circular economy initiatives, €58 million for climate resilience and €77 million for clean energy transition projects.

Examples include habitat restoration in Sweden and Poland, sustainable farming in France, and renewable energy training in France’s new LIFE SUNACADEMY. Other projects will tackle pollution, restore peatlands, and modernise energy systems across Europe, from rural communities to remote islands.

Since its launch in 1992, the LIFE Programme has co-financed over 6,500 projects that support environmental innovation and sustainability.

The current programme runs until 2027 with a total budget of €5.43 billion, managed by the European Climate Infrastructure and Environment Executive Agency (CINEA).

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Cars.com launches Carson AI to transform online car shopping

The US tech company, Cars.com, has unveiled Carson, a multilingual AI search engine designed to revolutionise the online car shopping experience.

Instead of relying on complex filters, Carson interprets natural language queries such as ‘a reliable car for a family of five’ or ‘a used truck under $30,000’, instantly producing targeted results tailored to each shopper’s needs.

A new AI feature that already powers around 15% of all web and mobile searches on Cars.com, with early data showing that users engaging with Carson return to the site twice as often and save three times more vehicles.

They also generate twice as many leads and convert 30% more frequently from search to vehicle detail pages.

Cars.com aims to simplify decision-making for its 25 million monthly shoppers, 70% of whom begin their search without knowing which brand or model to choose.

Carson helps these undecided users explore lifestyle, emotional and practical preferences while guiding them through Cars.com’s award-winning listings.

Further updates will introduce AI-generated summaries, personalised comparisons and search refinement suggestions.

Cars.com’s parent company, Cars Commerce, plans to expand its use of AI-driven tools to strengthen its role at the forefront of automotive retail innovation, offering a more efficient and intelligent marketplace for both consumers and dealerships.

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