Global infrastructure specialist Roxtec has recorded unprecedented growth in data centre projects as demand accelerates for facilities capable of handling AI workloads and expanding cloud computing.
The company supplies sealing, fire-protection and modular transit systems, critical components that help keep data centres compliant with safety and performance standards.
Roxtec executives say the surge reflects the broader AI infrastructure boom, with organisations investing in new facilities and upgrades to house specialised servers, cooling systems and connectivity required for generative AI applications.
The company’s expanded order book and project pipeline are being attributed directly to heightened capacity planning from hyperscale providers, enterprise cloud tenants and edge-compute deployments.
This growth underscores how AI-driven compute demand is reshaping physical infrastructure markets beyond chips and software, spanning construction, power, cooling, and safety components integrated into modern data centres.
Roxtec sees sustained demand ahead as AI use cases proliferate and organisations prioritise resilient, compliant compute environments.
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In a collaboration between Alder Hey Children’s NHS Foundation Trust and the Science and Technology Facilities Council’s Hartree Centre, a new AI-based staff scheduling system has been developed to address the complex task of roster planning in one of Europe’s busiest children’s hospitals.
Clinicians traditionally spend substantial time creating rotas manually, juggling annual leave, absences, working patterns and on-call rules.
The AI system automatically generates balanced on-call schedules by incorporating real-world constraints such as staff skills, availability and patterns, producing fairer and more predictable rotas.
The interface allows clinicians to review and adjust schedules while maintaining human oversight, freeing up time previously spent on spreadsheets and administrative tasks, and potentially improving staff wellbeing and operational efficiency.
Future phases aim to expand the tool toward full workforce management, with the potential for NHS-wide scaling.
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Global sportswear brand Puma has unveiled a new AI-enabled co-creation platform designed to engage customers more directly in product ideation, feedback and development.
The system uses AI to aggregate community input, analyse preferences and suggest design directions that reflect consumer sentiment, allowing Puma to tailor future products to what users actually want.
By turning static feedback loops into interactive, data-informed dialogues, the platform enhances brand-consumer engagement, unlocks deeper insights into style and function preferences, and enables Puma to respond quickly to trends.
The company sees this as a way to blend creativity with customer insight at scale, combining human design expertise with AI-driven analytics to strengthen loyalty and drive innovation.
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The UN 2.0 Data & Digital Community AI Expo examined how AI is currently embedded within the operational, analytical and institutional work of the United Nations system. The session brought together a range of AI applications already in use across UN entities, offering a consolidated view of how data-driven tools are supporting mandates related to development, humanitarian action, human rights and internal organisational capacity.
Designed as a fast‑paced showcase, the event presented eight specific AI projects from various UN organisations within a one-hour window. These featured programmes were selected by the UN AI Resource Hub, which is a significant collaborative initiative involving over 50 UN entities. The hub serves to strengthen coordination and coherence regarding AI technologies across the entire UN system.
The Expo highlighted how AI interacts with data availability, governance frameworks, and legal obligations. The session therefore functioned as an overview of current practice, revealing both the scope of AI use and the constraints shaping its deployment within a multilateral institution.
UN 2.0, data and digital capacity
UN 2.0 frames data and digital capability as core institutional functions necessary for addressing complex global challenges. Increasing volumes of information, rapidly evolving risks and interconnected crises require tools that support analysis, coordination and timely decision-making.
Within this framework, AI is treated as one component of a broader digital ecosystem. Its effectiveness depends on data quality, governance structures, organisational readiness and ethical oversight. The AI Expo reflected this approach by consistently situating the use of AI within existing mandates and institutional responsibilities, rather than presenting technology as a standalone solution.
UNICEF: Guidance on AI and children
UNICEF addressed how AI systems affect children across education, health, protection, and social services. The guidance focuses on governance frameworks that protect children’s rights in digital environments where automated systems increasingly shape access and outcomes.
Key risks highlighted include profiling, algorithmic bias, data misuse, and exclusion from digital benefits. Safeguards such as transparency, accountability, accessibility, and human oversight are emphasised as essential conditions for any AI system involving children.
The guidance, now in its third edition from December 2025, draws on the Convention on the Rights of the Child and sets out 10 requirements for child-centred AI, including safety, data privacy, non-discrimination, transparency, inclusion, and support for children’s well-being and development.
By anchoring AI governance within established child rights frameworks, the guidance positions technological development as subject to existing international obligations rather than discretionary policy choices. It highlights both the risks of AI, such as harmful content, CSAM, and algorithmic bias, and the opportunities, including enhanced learning, accessibility for children with disabilities, and improved child well-being.
UN-Habitat: BEAM AI (Building & Establishment Automated Mapper)
UN-Habitat presented BEAM, a machine-learning system designed to analyse satellite and aerial imagery to identify buildings and settlement patterns. Rapid urbanisation and the growth of informal settlements often outpace traditional data collection methods, leaving governments without accurate information for planning and service delivery.
AI-supported mapping addresses these gaps by generating up-to-date spatial data at scale. Outputs support decisions related to housing, water, sanitation, infrastructure investment, and risk reduction. It identifies and geo-references rooftops, generating shapefiles for urban planning processes.
Applied in South Africa and Central America, the system has mapped millions of previously unrecorded buildings, providing comprehensive spatial data where none existed before and supporting evidence-based decision-making in rapidly evolving urban areas.
UNFPA: AI platform for adolescents and youth
UNFPA focused on AI-supported platforms designed to improve access to information for adolescents and youth, particularly in areas related to sexual and reproductive health and mental well-being. Many young people face barriers linked to stigma, lack of confidentiality and uneven access to services.
UNFPA India’s JustAsk! AI chatbot provide guidance that is age-appropriate, culturally sensitive, and aligned with ethical and rights-based standards. The system helps users navigate health information, counter misinformation, and connect with relevant services when needed, including mental health support and sexual health facilities.
The design of these platforms emphasises privacy, safety, and responsible AI use, ensuring that interactions remain trustworthy and secure for young people. By leveraging AI, UNFPA supports youth-facing services, reaching populations that may otherwise have limited access to accurate and confidential information, particularly in regions where traditional in-person services are scarce or difficult to access.
IOM: Donor intelligence
IOM showcased an emerging AI project designed to strengthen donor intelligence and improve funding strategies. Following significant funding cuts and increasing competition for resources, the organisation explored new ways to diversify funding, identify opportunities and better align proposals after years of consistent rejections.
To ensure the solution addressed real operational needs, the team organised discovery workshops to identify pain points and opportunities for technological support. Using a rapid‑iteration approach known as ‘vibe coding’, developers built and tested prototypes quickly, incorporating continuous user feedback and daily improvements.
A multi-agent AI system integrates internal and external data to generate comprehensive, up-to-date donor profiles. Specialised agents research, synthesise, and refine information, enabling the organisation to monitor donor priorities and shifts in real-time.
Better alignment of project designs with donor interests has successfully reversed the trend of frequent rejections. Securing new funding has allowed the organisation to resume previously suspended activities and restore essential support to migrant and displaced communities.
UNDP: AI Sprint
UNDP launched the AI Sprint as a strategic initiative to accelerate the adoption of AI across the organisation and to build internal capacity for the responsible and effective use of AI. The AI Sprint is designed to equip UNDP staff with the tools, knowledge and governance frameworks needed to harness AI in support of sustainable development and organisational transformation.
The AI Sprint is structured around multiple components, including building foundational AI awareness and skills, establishing ethical principles and frameworks for AI use, and supporting the deployment of high-impact AI initiatives that address key development challenges. It also contributes to country-level enablement by helping partner countries develop AI strategies, strengthen public sector AI capacity and scale AI-related programmes.
The initiative reflects UNDP’s effort to position the organisation as a leader in responsible AI for development, with the dedicated AI Working Group established to oversee responsible use, legal compliance, risk management and transparency in AI adoption.
The UNDP AI Sprint Initiative forms part of broader efforts to build AI capability and accelerate digital transformation across regions, offering training, strategy support and practical tools in countries worldwide.
Described as a dedicated data service, HRDx aims to consolidate data that is currently fragmented, siloed, unverified and often collected manually into a single, more reliable resource. This will allow for earlier detection and monitoring of patterns, thereby supporting human rights initiatives in the digital era.
Given that human rights are currently at a crossroads and increasingly at risk, with only 15% of the Sustainable Development Goals (SDGs) on track for 2030, the design prioritises data protection, security and accountability. This approach reflects the sensitive nature of such information, particularly as technology can also accelerate inequality, disinformation and digital surveillance.
HRDx forms part of a broader OHCHR strategy to utilise technology and data to identify trends rapidly and facilitate coordinated action. The initiative seeks to establish human rights data as a global public good, ensuring that ethical data governance and the protection of personal data remain fundamental requirements for its operation.
UN Global Pulse: DISHA (Data Insights for Social & Humanitarian Action)
UN Global Pulse has established a collaborative coalition known as DISHA, or Data Insights for Social and Humanitarian Action, to bridge the gap between experimental technology and its practical application.
This partnership focuses on refining and deploying AI-enabled analytics to support critical humanitarian decision-making, ensuring that the most effective tools transition from mere pilots to routine operational use. By fostering cross-sector partnerships and securing authorised access to dynamic data, the project aims to equip humanitarian organisations with the high-level insights necessary to respond to crises with greater speed and precision.
The practical utility of this effort is demonstrated through several key analytical applications designed to address immediate needs on the ground. One such tool significantly accelerates disaster damage assessment, reducing the time required for analysis from weeks or days to just a few hours. In the Philippines, the initiative uses an evergreen data partnership with Globe Telecom to monitor population mobility and dynamically track displacement trends following a disaster.
Furthermore, a shelter-mapping pilot project uses satellite imagery to automatically identify refugee shelters at scale, providing a clearer picture of humanitarian requirements in real time.
A central focus of the DISHA initiative is to overcome the persistent barriers that prevent the humanitarian sector from adopting these advanced solutions. By addressing these governance considerations and focusing on the productisation of AI approaches, the initiative ensures that analytical outputs are not only technically sound but also directly aligned with the live operational requirements of responders during a crisis.
WIPO: Breaking language barriers with AI
The World Intellectual Property Organization (WIPO) has implemented an AI system to automate the transcription and translation of international meetings. Developed by the Advanced Technology Applications Center (ATAC), the WIPO Speech-to-Text tool produces automated transcripts in minutes. These custom models are specifically trained on UN terminology and are designed to function despite background noise or non-native language accents.
The system captures spoken language directly from interpretation channels and publishes the results to the WIPO webcast platform, providing searchable access with timestamps for every word. When used alongside the WIPO Translate engine, the tool can generate machine translations in multiple additional languages.
Since its adoption for most public WIPO meetings in 2022, the initiative has delivered savings of several million Swiss francs. The infrastructure supports highly confidential content and allows for installation within an organisation’s secure framework. WIPO is currently sharing this technology with other organisations and developing a software-as-a-service (SaaS) API to expand its availability.
Across the UN system, initiatives demonstrate a shift toward a more capable, data‑driven, and ethically grounded approach to global operations, highlighting the use of technological tools to strengthen human rights, accountability and multilateral cooperation.
When applied responsibly, AI enhances human expertise, enabling more precise monitoring, planning and decision-making across development, humanitarian action, human rights and internal organisational functions. Ethical safeguards, governance frameworks and oversight mechanisms are embedded from the outset to ensure that innovations operate within established norms.
Overall, these developments reflect a broader institutional transformation, with the UN increasingly equipped to manage complexity, respond to crises with precision, and uphold its mandates with agility in the digital era.
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WordPress has released new guidelines to shape how AI is used across plugins, themes, documentation and media assets. The framework focuses on transparency, accountability and maintaining the project’s open source foundations.
Contributors remain fully responsible for AI-assisted work and are expected to disclose meaningful AI use during submissions. Reviewers are encouraged to assess such contributions with awareness of how automated tools influenced the output.
Strong emphasis is placed on licensing, with all AI-generated material required to remain compatible with GPLv2 or later. Tools that restrict redistribution or reproduce incompatible code are explicitly ruled out.
The guidance also targets so-called AI slop, including untested code, fabricated references and unnecessarily complex solutions. Maintainers are authorised to reject low-quality submissions that lack apparent human oversight.
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A major international AI safety report warns that AI systems are advancing rapidly, with sharp gains in reasoning, coding and scientific tasks. Researchers say progress remains uneven, leaving systems powerful yet unreliable.
The report highlights rising concerns over deepfakes, cyber misuse and emotional reliance on AI companions in the UK and the US. Experts note growing difficulty in distinguishing AI generated content from human work.
Safeguards against biological, chemical and cyber risks have improved, though oversight challenges persist in the UK and the US. Analysts warn advanced models are becoming better at evading evaluation and controls.
The impact of AI on jobs in the UK and the US remains uncertain, with mixed evidence across sectors. Researchers say labour disruption could accelerate if systems gain greater autonomy.
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About 50 residents of Quilicura, an urban community near Chile’s capital, spent a day answering thousands of questions and creating hand-drawn images through a human-powered chatbot called Quili.AI, designed to demonstrate alternatives to instant AI responses and raise awareness of the hidden environmental toll of AI infrastructure.
Participants responded to more than 25,000 global requests, often taking minutes for answers and sketches that would be instantaneous with commercial AI models.
The project, organised by environmental group Corporación NGEN, emphasised that AI systems, especially data centres that host them, consume large amounts of electricity and water, with Quilicura itself becoming a hub for data centres run by major cloud providers.
Organisers said the human chatbot wasn’t an argument against AI’s value but a way to prompt reflection on responsible and sustainable use, especially in regions facing water scarcity and climate stresses like drought and wildfires.
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At the Summit for Clinical Operations Executives (SCOPE) 2026, major players in life sciences showcased artificial intelligence-enabled systems built to accelerate and optimise oncology clinical trials.
Massive Bio’s TrialRelay uses AI routing (“TrialRouter”) to orchestrate the enrolment process, reducing the risk that patients are lost in the referral pipeline after being matched to a study.
ConcertAI’s Accelerated Clinical Trials (ACT) platform, powered by its proprietary agentic AI, integrates real-world and proprietary datasets with advanced workflows to shorten trial timelines by 10–20 months, improve study design and reduce costly amendments, helping sponsors and contract research organisations (CROs) bring therapies to patients faster.
AI adoption in clinical research is rising across recruitment, trial design, data handling and operational forecasting, though integration challenges, regulatory alignment and rapid technological change remain obstacles.
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The EU’s attempt to revise core privacy rules has faced resistance from France, which argues that the Commission’s proposals would weaken rather than strengthen long-standing protections.
Paris objects strongly to proposed changes to the definition of personal data within the General Data Protection Regulation, which remains the foundation of European privacy law. Officials have also raised concerns about several more minor adjustments included in the broader effort to modernise digital legislation.
These proposals form part of the Digital Omnibus package, a set of updates intended to streamline the EU data rules. France argues that altering the GDPR’s definitions could change the balance between data controllers, regulators and citizens, creating uncertainty for national enforcement bodies.
The national government maintains that the existing framework already includes the flexibility needed to interpret sensitive information.
A disagreement that highlights renewed tension inside the Union as institutions examine the future direction of privacy governance.
Several member states want greater clarity in an era shaped by AI and cross-border data flows. In contrast, others fear that opening the GDPR could lead to inconsistent application across Europe.
Talks are expected to continue in the coming months as EU negotiators weigh the political risks of narrowing or widening the scope of personal data.
France’s firm stance suggests that consensus may prove difficult, particularly as governments seek to balance economic goals with unwavering commitments to user protection.
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Toronto’s notoriously congested traffic, among the worst in North America, with drivers spending an average of about 100 hours in traffic annually, continues to frustrate commuters.
Experts and city officials are now considering artificial intelligence-driven traffic signal optimisation as a key tool to improve traffic flows by dynamically adjusting signal timing across the city’s roughly 2,500 intersections.
AI systems could analyse real-time traffic patterns faster and more efficiently than manual control, helping reduce idle time, clear bottlenecks and support transit modes like the Finch West LRT by prioritising movement where needed.
While details of Toronto’s broader congestion management plan are still being finalised, this high-tech approach is being positioned as one of the most promising ways to address chronic gridlock and improve overall mobility.
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