The money-movement solution Ripple Payments has been expanded to integrate both traditional and digital payment rails. The upgrade strengthens its enterprise-grade platform, enabling custody, collections, and liquidity management while supporting global fintech expansion.
The company emphasised that the platform now processes fiat currencies and stablecoins on a single infrastructure.
Operating in more than 60 major markets, Ripple supports corporate on-chain treasury operations through managed custody and virtual account capabilities.
Recent acquisitions of Palisade and Rail have enhanced custody, treasury automation, virtual accounts, and collections, allowing firms to collect, hold, exchange, and pay out both fiat and stablecoins seamlessly.
The expanded platform offers named virtual accounts and wallet issuance, automated collection flows, fund exchange, and settlement functions. Managed custody supports large-scale wallet issuance, fast transaction signing, and transfers to operating accounts.
Companies can collect fiat and stablecoins in integrated accounts with automated FX conversion and settlement. Ripple highlighted its liquidity management expertise, enabling clients to deploy corporate assets optimally.
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The European Commission is preparing more stringent requirements for ageing data centres rather than allowing legacy infrastructure to operate under looser rules.
A draft strategy tied to the EU’s tech sovereignty package signals that older sites will face higher efficiency expectations and stricter sustainability checks as part of an effort to modernise the digital backbone of the EU.
The proposal outlines minimum performance standards for new data centres by 2030, aiming to align the entire sector with the bloc’s climate and resilience goals. Officials want to reduce energy waste and improve monitoring across facilities that have long operated without uniform benchmarks.
The draft points to an expanded role for the Cloud and AI Development Act, which is expected to frame future obligations for cloud providers instead of relying on fragmented national measures.
Brussels sees consistent rules as essential for supporting secure cloud services, AI infrastructure and cross-border digital operations.
The strategy underscores that modernisation is central to the EU’s vision of tech sovereignty. Older centres would need upgrades to maintain compliance, ensuring that Europe’s digital infrastructure remains competitive, efficient and less dependent on external providers.
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In recent days, social media has been alight with discussions about the 2014 series whose portrayal of AI and ethical dilemmas now feels remarkably prophetic: Silicon Valley. Fans and professionals alike are highlighting how the show’s depiction of AI, automated agents, and ethical dilemmas mirrors today’s real-world challenges.
From algorithmic decision-making to AI shaping social and economic interactions, the series explores the boundaries, responsibilities, and societal impact of AI in ways that feel startlingly relevant. What once seemed like pure comedy is increasingly being seen as a warning, highlighting how the choices we make around AI and its ethical frameworks will shape whether the technology benefits society.
While the show dramatises these dilemmas for entertainment, the real world is now facing the same questions. Recent trends in generative AI, autonomous agents, and large-scale automated decision-making are bringing their predictions to life, raising urgent ethical questions for developers, policymakers, and society alike.
Source: Freepik
The rise of AI ethics: from niche concern to central requirement
The growing influence of AI on society has propelled ethics from a theoretical discussion to a central factor in technological decision-making. Initially confined to academic debate, ethics in AI is now a guiding force in technological development. The impact of AI is becoming tangible across society, from employment and finance to online content.
Technical performance alone no longer defines success; the consequences of design choices have become morally and socially significant. Governments, international organisations, and corporations are responding by developing ethical frameworks.
The EU AI Act, the OECD AI Principles, and numerous corporate codes of conduct signal that society expects AI systems to align with human values, demonstrating accountability, fairness, and trustworthiness. Ethical reflection has become a prerequisite for technological legitimacy and societal acceptance.
Source: Freepik
Functions of AI ethics: trust, guidance, and societal risk
Ethical frameworks for AI fulfil multiple roles, balancing moral guidance with practical necessity. They build public trust between developers, organisations, and users, reassuring society that AI systems operate consistently with shared values.
For developers, ethical principles offer a blueprint for decision-making, helping anticipate societal impact and minimise unintended harm. Beyond guidance, AI ethics acts as a form of societal risk governance, allowing organisations to identify potential consequences before they manifest.
By integrating ethics into design, AI systems become socially sustainable technologies, bridging technical capability with moral responsibility. The approach like this is particularly critical in high-stakes domains such as healthcare, finance, and law, where algorithmic decisions can significantly affect human well-being.
Source: Freepik
The politics of AI ethics: regulatory theatre and corporate influence
Despite widespread adoption, AI ethics frameworks sometimes risk becoming regulatory theatre, where public statements signal commitment but fail to ensure meaningful action. Many organisations promote ethical AI principles, yet consistent enforcement and follow-through often lag behind these claims.
Even with their limitations, ethical frameworks are far from meaningless. They shape public discourse, influence policy, and determine which AI systems gain social legitimacy. The challenge lies in balancing credibility with practical impact, ensuring that ethical commitments are more than symbolic gestures.
Social media platforms like X amplify this tension, with public scrutiny and viral debates exposing both successes and failures in applying ethical principles.
Source: Freepik
AI ethics as a lens for technology and society
The prominence of AI ethics reflects a broader societal transformation in evaluating technology. Modern societies no longer judge AI solely by efficiency, speed, or performance; they assess social consequences, fairness, and the distribution of risks and benefits.
AI is increasingly seen as a social actor rather than a neutral tool, influencing public behaviour, shaping social norms, and redefining concepts such as trust, autonomy, and accountability. Ethical evaluation of AI is not just a philosophical exercise, but demonstrate evolving expectations about the role technology should play in human life.
Source: Freepik
AI ethics as early-warning governance for social impact
AI ethics functions as a critical early-warning system for society. Ethical principles anticipate harms that might otherwise go unnoticed, from systemic bias to privacy violations. By highlighting potential consequences, ethics enables organisations to act proactively, reducing the likelihood of crises and improving public trust.
Moreover, ethics ensures that long-term impacts, including societal cohesion, equity, and fairness, are considered alongside immediate technical performance. In doing so, AI ethics bridges the gap between what AI can do and what society deems acceptable, ensuring that innovation remains aligned with moral and social norms.
Source: Freepik
The bridge between technological power and social legitimacy
AI ethics remains the essential bridge between technological power and social legitimacy. Embedding ethical reflection into AI development ensures that innovation is not only technically effective but also socially sustainable, trustworthy, and accountable.
Yet a growing tension defines the next phase of this evolution: the accelerating pace of innovation often outstrips the slower processes of ethical deliberation and regulation, raising questions about who sets the norms and how quickly societies can adapt.
Rather than acting solely as a safeguard, ethics is increasingly becoming a strategic dimension of technological leadership, shaping public trust, market adoption, and even geopolitical influence in the global race for AI. The rise of AI ethics, therefore, signals more than a moral awakening, reflecting a structural shift in how technological progress is evaluated and legitimised.
As AI continues to integrate into everyday life, ethical frameworks will determine not only how systems function, but also whether they are accepted as part of the social fabric. Aligning innovation with societal values is no longer optional but the condition under which AI can sustain legitimacy, unlock its full potential, and remain a transformative force that benefits society as a whole.
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Europe is building a federated cloud and AI infrastructure intended to reduce reliance on US and Chinese technology providers and avoid ongoing strategic vulnerability.
The project, known as EURO-3C, was announced in Barcelona by Telefónica and is backed by the European Commission. More than seventy organisations across telecommunications, technology and emerging companies have joined the effort.
Architects of the scheme argue that linking national infrastructures into a shared network of nodes offers a realistic path forward, particularly as Europe cannot easily create a hyperscale cloud provider from scratch.
The initiative follows a series of US cloud outages that exposed the risks of excessive dependence on external infrastructure and raised questions about sovereignty, resilience and long-term competitiveness.
Commission officials described the programme as a way to build a secure cross-border digital ecosystem that supports industries such as automotive, e-health, public administration and sovereign government cloud.
Telefónica stressed that agentic AI, capable of taking autonomous actions, will play a central role in enabling Europe to develop technology rather than import it.
The partners view the project as a foundation for a unified and independent digital environment that strengthens industrial supply chains and prepares European sectors for the next phase of cloud and AI adoption.
They present the initiative as a significant step toward reducing strategic exposure while stimulating domestic innovation.
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The civil liberties committee failed to secure majority backing for its amended report on extending the EU’s temporary chat-scanning rules instead of giving a clear negotiating position.
Members of Parliament reviewed the amendments on Monday, but the final text did not garner sufficient support, leaving the proposal without endorsement as the adoption deadline approaches.
A proposal to extend the current derogation that allows tech companies to voluntarily scan their services for Child Sexual Abuse Material (CSAM).
The existing regime expires in April 2026 and was intended only as a stopgap while a permanent Child Sexual Abuse Regulation was developed. Years of stalled negotiations have led to the temporary rules being extended twice since 2021.
Council has already approved its position without changes to the Commission proposal, creating a tight timeline for Parliament.
With trilogue talks finally underway, institutions would need to conclude discussions unusually quickly to prevent the legal basis from expiring. If no agreement is reached by April, companies would lose their ability to scan services under the EU law.
The committee confirmed that the file will now move to plenary in the week of 9–12 March, where political groups may table new amendments. An outcome that will determine whether the temporary regime remains in place while negotiations on the permanent system continue.
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Deutsche Telekom is turning to satellite connectivity to address Europe’s persistent mobile coverage gaps, rather than relying solely on terrestrial networks.
The company announced a partnership with Starlink during the Mobile World Congress in Barcelona, arguing that non-terrestrial networks can help reach remote forests, mountains and islands that remain underserved despite broad coverage elsewhere.
A collaboration that aims to support direct-to-device satellite links by 2028, enabling future smartphones to connect to Starlink’s MSS spectrum without additional hardware.
Telecommunications leaders describe the plan as a step toward an ‘everywhere network’, extending reliable service to areas long constrained by topographical and conservation barriers. The partnership follows earlier joint work with SpaceX to eliminate dead zones.
Deutsche Telekom is also increasing its use of agentic AI, integrating autonomous network-enhancing systems intended to improve translation, search and service features across devices.
Executives say these capabilities work even on older phones, reducing dependence on apps and creating a more inclusive digital environment.
Although committed to European digital sovereignty, the company insists that global collaboration remains necessary for long-term competitiveness.
Leadership argues that precise regulation and controlled data environments aligned with European standards can balance international cooperation with privacy protection. They remain confident that European technology firms and start-ups will continue driving meaningful innovation across the sector.
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Qualcomm expects robotics to become a significant business opportunity within two years, according to chief executive Cristiano Amon. The company is increasingly expanding beyond smartphones as it searches for new long-term growth markets.
Earlier this year, Qualcomm introduced its Dragonwing processor designed specifically for robotics applications. The chipset aims to operate across multiple robotic platforms using a scalable approach similar to its successful mobile processor strategy.
Industry enthusiasm for robotics has grown alongside rapid advances in AI technologies. Often described as ‘physical AI’, these systems allow robots to interpret surroundings and perform complex tasks more effectively.
Market forecasts suggest strong future demand, with analysts predicting robotics could develop into a multi-trillion-dollar global industry. Technology leaders across the semiconductor sector increasingly view intelligent machines as a major next computing platform.
Robotics innovation featured prominently at Mobile World Congress in Barcelona, where companies showcased emerging autonomous machines. Growing investment highlights intensifying competition to shape the future of AI-powered automation worldwide.
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Ocado has announced plans to cut 1,000 jobs from its 20,000 strong global workforce, with roles mainly affected in technology and support. The company, headquartered in Hatfield, Hertfordshire, said the move would save £150m and follows major investment in robotics and automation.
Chief executive Tim Steiner said Ocado had completed a significant phase of investment in automation, but the company declined to confirm that AI directly led to the redundancies. At its Luton warehouse, opened in 2023, human staff continue to work alongside AI powered robots.
Analysts suggested that competition has intensified as retailers in the UK, the US and Canada adopt similar AI driven systems. Some former clients in the US and Canada have invested in their own technology, reducing reliance on Ocado’s platform.
Retail experts argued that deeper structural challenges, including changing consumer expectations and cost pressures in Hertfordshire and beyond, are also at play. Local leaders in Welwyn Hatfield have requested urgent talks as the company reshapes its operating model.
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Microsoft has temporarily locked its official Copilot Discord server after a surge of spam linked to criticism of its AI strategy. The disruption followed widespread use of the nickname ‘Microslop’, a term mocking the company’s AI push.
The backlash intensified after chief executive Satya Nadella urged the industry to embrace AI in a December 2025 blog post. Users began flooding the Copilot Discord server with variations of the term, bypassing Microsoft’s word filters.
Microsoft initially blocked the word before restricting channels and eventually taking the entire server offline. In a statement, the company said the move was intended to protect users from harmful spam.
The controversy reflects broader resistance to AI integration across Windows 11 and Microsoft software. Microsoft has not confirmed when the Copilot Discord server will return online.
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A deepfake video of Bombay Stock Exchange chief executive Sundararaman Ramamurthy circulated on social media in India, falsely offering stock advice to investors. The exchange moved quickly to report and remove the content, warning the public not to trust fake investment clips.
Cybersecurity experts say such cases are rising sharply, with one US firm estimating a 3,000 percent increase in deepfake incidents over two years. Executives in the US and the UK have also been impersonated using AI-generated audio and video.
In Hong Kong, police said a UK engineering firm lost $25m after an employee joined a video call featuring deepfake versions of senior colleagues. The transfer was made to multiple accounts before the fraud was discovered.
Security companies in the US and the UK are developing detection tools that analyse facial movement and blood flow patterns to identify AI-generated footage. Analysts warn that as costs fall and tools improve, businesses in India, Hong Kong and beyond face an escalating arms race against digital fraud.
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