Digital standards Archives | Page 4 of 339

Hyundai invests in AI, robotics and hydrogen infrastructure

Hyundai will invest 9 trillion won ($6.3B) to build an AI data centre, robot hub, and hydrogen plant in Saemangeum. The project is part of Hyundai’s 125.2 trillion won domestic investment plan through 2030. Shares surged 10.7% following the announcement.

The AI data centre, costing 5.8 trillion won and due in 2029, will host up to 50,000 GPUs to process data from Hyundai’s automotive, steel, logistics, and defence units. The facility enables ‘physical AI,’ adding intelligence to vehicles and robots, not just software.

Hyundai will invest 400 billion won in a robot manufacturing complex with a capacity of 30,000 units annually. The fully automated facility integrates assembly, parts production, and logistics.

Robotics is central to Hyundai’s shift from automaker to AI platform operator, building on innovations such as the Atlas humanoid robot.

The plan includes a 200-megawatt hydrogen plant powered by solar energy, gigawatt-scale solar generation, and a pilot AI Hydrogen City zone. Hyundai estimates 16 trillion won in economic impact and 71,000 jobs.

President Lee Jae Myung highlighted the project as key to South Korea’s AI, robotics, and clean energy ambitions, promising regulatory support.

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Topshop unveils AI shoppable catwalk in Manchester

Topshop has staged what it describes as a world-first AI-driven shoppable catwalk in Manchester, as part of its UK brand revival. The Manchester event combined physical runway looks with real-time digital purchasing through a bespoke Front Row AI app.

Guests in Manchester were able to buy outfits instantly as models walked, while also trying on virtual versions after the show. The experience was adjudicated by the World Record Certification Agency and positioned as a new model for immersive retail in the UK.

The Manchester showcase formed part of Topshop’s regional strategy beyond London, highlighting the North West’s role in the UK fashion sector. Students from the University of Salford and Manchester Metropolitan University designed and presented the finale in Manchester.

Topshop’s broader comeback in the UK includes pop ups in John Lewis stores, a standalone website relaunch and a partnership with Liberty in London. Executives said Manchester marked a new phase where AI and commerce converge to reshape retail experiences.

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AI data centre planned for East Manchester

Latos Data Centres is preparing plans for a 28,000 sq ft data centre in Monsall, East Manchester, aimed at serving rising demand for AI computing. The scheme would occupy a three acre brownfield site at Bower Street and Ten Acres Lane in Manchester.

The East Manchester project is designed as a neural edge data centre, bringing AI processing closer to end users than traditional cloud facilities. Latos said the Manchester development would form part of a broader plan to deliver 30 UK sites by 2030.

A live consultation in Manchester will run until 16 March, with Create Architecture leading the design. Advisers on the Manchester scheme include Euan Kellie Property Solutions on planning and SK Transport Planning on transport matters.

Latos said the Manchester facility would regenerate a vacant industrial plot and operate to high environmental and safety standards. The developer is also delivering a separate data centre in Tees Valley as it expands its AI-focused portfolio across the UK.

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McKinsey claims agentic AI will reshape global banking

Agentic AI is set to transform banking operations in the US and Asia, according to a McKinsey podcast featuring senior partners from New York, Mumbai and London. The technology goes beyond traditional automation by handling less structured tasks and supporting end to end decision making.

Research cited in the discussion suggests many banks are experimenting with AI, yet few report material financial gains. Leaders in the US and Asia are urged to avoid narrow pilot projects and instead redesign workflows, teams and governance around AI at scale.

McKinsey partners said successful banks in the US and Asia are aligning chief executives, technology leaders and risk officers behind a shared strategy. Operations, risk management and frontline services are seen as areas where AI could deliver significant productivity and quality gains.

Banks in India and other Asian markets are also benefiting from regulatory engagement, including guidance from the Reserve Bank of India. Speakers argued that workforce training, cross functional collaboration and clear accountability will determine whether AI delivers lasting impact in the US.

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Action-capable AI highlights new security challenges

AI agents are evolving from demos into autonomous tools, with OpenClaw emerging as a leading example. Unlike chatbots, these agents execute tasks directly, interacting with software and systems without constant human input.

The rise of action-capable AI introduces new security challenges. Agents can be manipulated through untrusted input or prompt injection. Persistent memory can also prolong mistakes or unintended behaviour.

The combination of access to sensitive data, external actions, and unverified content, sometimes called the ‘lethal trifecta’, amplifies risks, making careful configuration and oversight essential.

Self-hosted agents offer more control, while cloud-based versions simplify setup but shift security responsibility. Experts recommend running agents in isolated environments, limiting permissions, and requiring approval for sensitive actions.

These precautions reduce the chance of accidental or malicious harm while allowing users to experiment safely.

OpenClaw illustrates the potential of AI agents to automate workflows, handle repetitive tasks, and act proactively rather than passively advising. These tools show the future of consumer AI, but broader adoption requires stronger safety measures and awareness of risks.

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Data sovereignty becomes an infrastructure strategy in the AI era

For most of the past decade, data governance was treated as a legal issue. IT built networks and bought tools, while regulators were someone else’s problem. That division no longer holds. Cloud adoption and AI have turned data sovereignty into a core infrastructure and strategy question.

Regulatory frameworks such as GDPR, NIS2, and DORA are expanding and being enforced more strictly. Governments are also scrutinising foreign cloud providers and cross-border access. Local data storage no longer ensures absolute data sovereignty if critical control layers remain outside national jurisdiction.

Traditional SASE and SSE models were not built for this environment. Many still separate outbound cloud traffic from inbound controls. That split creates blind spots in distributed architectures and complicates consistent policy enforcement.

AI workloads intensify the pressure. Retailers, banks, and manufacturers are deploying models locally, not just in hyperscale clouds. Securing east-west traffic across systems and APIs without undermining data sovereignty is becoming a central architectural challenge.

Managed sovereign infrastructure is one response. It reduces reliance on external cloud paths while preserving operational scale. Ultimately, organisations must align security, AI deployment, and governance with long-term resilience goals.

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European businesses gain AI-powered contract tools with local data hosting

Workday has rolled out its Contract Lifecycle Management (CLM) platform with EU-hosted data in Frankfurt, allowing European organisations to use AI contract tools while keeping all data within the EU.

German, French, and Spanish language support is live, with more languages planned. The update is part of Workday’s EU Sovereign Cloud strategy, targeting the CLM market, which is set to grow to $1.9 billion by 2033.

The platform uses AI agents to automate contracts. The Contract Intelligence Agent extracts terms, obligations, and renewal dates to create a searchable repository, while the Contract Negotiation Agent flags deviations, drafts redlines, and speeds approvals.

Multilingual support ensures smooth workflows across Europe’s largest commercial languages, improving compliance and efficiency.

GDPR compliance remains critical, with fines up to €20 million or 4% of global turnover. EU-hosted CLM removes offshore data risks, which are crucial for the finance, healthcare, and defence sectors. Workday combines AI efficiency with full legal compliance.

Decision-makers should focus on three priorities: EU data residency, leveraging AI agents to accelerate contracts, and integrating CLM with HR and finance systems to maximise value. Workday aims to capture market share in Europe against competitors such as Icertis and DocuSign.

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Australia begins a landmark study on social media minimum age

eSafety Commissioner has lau n ched a major evaluation of Australia’s Social Media Minimum Age to understand how platforms are applying the requirement and what effects it is having on children, young people and families.

The study aims to deliver robust evidence about both intended and unintended impacts as the national debate on youth, wellbeing and digital environments intensifies.

Over more than two years, the research will follow more than four thousand children and families in Australia, combining surveys, interviews, group discussions and privacy-protected smartphone tracking.

Administrative data from national literacy assessments and health systems will be linked to deepen understanding of online behaviour, wellbeing and exposure to risk. All research materials are publicly available through the Open Science Framework to maintain transparency.

The project is led by eSafety’s Research and Evaluation team in partnership with the Stanford University Social Media Lab and an Academic Advisory Group of specialists in mental health, youth development and digital technologies.

Young people themselves are shaping the study through the eSafety Youth Council, ensuring that the interpretation reflects lived experience rather than external assumptions. Full ethics approval underpins the methodology, which meets strict standards of integrity and privacy.

Findings will be released from late 2026 onward, with early reports analysing the experiences of children under sixteen.

The results will inform a legislative review conducted by Australia’s Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts.

eSafety expects the evaluation to become a major evidence source for policymakers, researchers and communities as the global conversation on minors and social media regulation continues.

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Pakistan’s digital transformation highlighted as UNESCO advances AI ethics

UNESCO used the Pakistan Governance Forum 2026 to highlight the need for a structured Ethical AI and Data Governance Framework as the country accelerates its digital transformation.

Federal leaders, provincial authorities and civil society convened to examine governance reforms, with UNESCO urging Pakistan to align its expanding digital public infrastructure with coherent standards that protect rights while enabling innovation.

Speaking at the Forum, Fuad Pashayev underlined that Pakistan’s reform priority should centre on the Recommendation on the Ethics of Artificial Intelligence, adopted unanimously by all 193 Member States.

Anchoring national systems in transparency, accountability and meaningful human oversight was framed as essential for maintaining public trust as digital services reshape access to benefits and interactions between citizens and the state.

To support the shift, UNESCO promoted its AI Readiness Assessment Methodology (RAM), which is already deployed in more than 50 countries. The tool helps governments identify regulatory gaps, strengthen institutional coordination and design safeguards against discrimination and algorithmic bias.

UNESCO has already contributed to Pakistan’s draft National AI Policy, ensuring alignment with international ethical frameworks while accommodating national development needs.

Capacity building formed a major pillar of UNESCO’s engagement. In partnership with the University of Oxford, the organisation launched a global course on AI and Digital Transformation in Government in 2025, attracting over nineteen thousand enrolments worldwide.

Pakistan leads participation globally, reflecting both the country’s momentum and growing demand for structured training.

UNESCO’s ongoing work aims to reinforce data governance, improve AI readiness and embed ethical safeguards across Pakistan’s digital transformation strategy.

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Agentic AI network slicing launches in 5G Advanced with Nokia and AWS

Nokia and Amazon Web Services have introduced what they describe as the first agentic AI-powered network slicing solution operating in commercial 5G-Advanced networks. Early pilot projects with du and Orange are already underway, marking the transition from laboratory testing to commercial deployment.

For an extended period, network slicing has been presented as a way to tailor connectivity to the needs of enterprises and end users, yet static configurations have until now limited its commercial impact. A more autonomous approach is now being tested, designed to convert operational intent directly into concrete network actions.

The joint system combines Nokia’s network slicing portfolio with AI services delivered via the Amazon Web Services (AWS) Bedrock platform. Software agents analyse real-time data, including traffic levels, location information, and significant events, and automatically adjust radio access network policies. However, this enables capacity to be prioritised in response to congestion, emergencies, or large gatherings.

Enterprise use is central to the deployment. Campuses, factories, and urban areas can receive connectivity aligned with predefined service level targets (SLAs), while public safety teams can activate dedicated network slices during critical incidents. Premium consumer services, such as gaming and streaming, may also benefit from more stable performance during peak demand periods.

The solution spans the radio, transport, and core networks and will be showcased at the Mobile World Congress 2026. Commercial success will depend on whether intent-based slicing can transform what has long been a promised feature into a sustainable and scalable revenue source for operators.

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