Most EU workers now rely on digital tools and AI

A new EU study finds that 90% of workers rely on digital tools, while nearly a third use AI-powered chatbots in their daily work. The JRC and European Commission surveyed over 70,000 workers across all EU Member States between 2024 and 2025.

The findings show that AI is most commonly used for writing and translation tasks, followed by data processing and image generation. Adoption rates are particularly high in Northern and Central Europe, especially in office-based sectors.

Alongside this digital transformation, workplace monitoring is becoming increasingly widespread, with 37% of EU workers reporting that their working hours are tracked and 36% that their entry and exit times are monitored.

Algorithmic management, where digital systems allocate tasks or assess performance automatically, now affects about a quarter of EU workers. The study also identifies a growing ‘platformisation’ trend, categorising employees based on their exposure to digital monitoring and algorithmic control.

Workers facing full or physical platformisation often report higher stress levels and reduced autonomy, while informational platformisation appears to have milder effects, particularly for remote workers.

Researchers urge EU policymakers to curb digital oversight risks while promoting fair and responsible innovation. The findings support EU initiatives like the Quality Jobs Roadmap and efforts to regulate algorithmic management.

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Teachers become intelligence coaches in AI-driven learning

AI is reshaping education, pushing teachers to act as intelligence coaches and co-creators instead of traditional instructors.

Experts at an international conference, hosted in Greece, to celebrate Athens College’s centennial, discussed how AI personalises learning and demands a redefined teaching role.

Bill McDiarmid, professor emeritus at the University of North Carolina, said educators must now ask students where they find their information and why they trust it.

Similarly, Yong Zhao of the University of Kansas highlighted that AI enables individualised learning, allowing every student to achieve their full potential.

Speakers agreed AI should serve as a supportive partner, not a replacement, helping schools prepare students for an active role in shaping their futures.

The event, held under Greek President Konstantinos Tasoulas’ auspices, also urged caution when experimenting with AI on minors due to potential long-term risks.

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Fenland business to close as AI reshapes media work

A Fenland videographer says the rise of AI has forced him to close his business. David Johnson, who runs DMJ-Imagery in Chatteris, will wind up operations in April after client demand collapsed.

He believes companies are turning to AI tools for projects once requiring human filmmakers and editors. Work such as promotional videos, adverts, and scripting has increasingly been replaced by automated content generation.

Johnson said his workload ‘plummeted’ over the past year despite surviving the pandemic. He described AI-made work as lacking ‘passion or emotion’, arguing that human creativity remains an essential component to storytelling.

Despite this, the UK government says AI has vast economic potential, industry groups urge fairer protections for creatives. They argue that existing copyright laws do not adequately safeguard work used to train AI models.

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Is the world ready for AI to rule justice?

AI is creeping into almost every corner of our lives, and it seems the justice system’s turn has finally come. As technology reshapes the way we work, communicate, and make decisions, its potential to transform legal processes is becoming increasingly difficult to ignore. The justice system, however, is one of the most ethically sensitive and morally demanding fields in existence. 

For AI to play a meaningful role in it, it must go beyond algorithms and data. It needs to understand the principles of fairness, context, and morality that guide every legal judgement. And perhaps more challengingly, it must do so within a system that has long been deeply traditional and conservative, one that values precedent and human reasoning above all else. Jet, from courts to prosecutors to lawyers, AI promises speed, efficiency, and smarter decision-making, but can it ever truly replace the human touch? 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI in courts: Smarter administration, not robot judges… yet

Courts across the world are drowning in paperwork, delays, and endless procedural tasks, challenges that are well within AI’s capacity to solve efficiently. From classifying cases and managing documentation to identifying urgent filings and analysing precedents, AI systems are beginning to serve as silent assistants within courtrooms. 

The German judiciary, for example, has already shown what this looks like in practice. AI tools such as OLGA and Frauke have helped categorise thousands of cases, extract key facts, and even draft standardised judgments in air passenger rights claims, cutting processing times by more than half. For a system long burdened by backlogs, such efficiency is revolutionary.

Still, the conversation goes far beyond convenience. Justice is not a production line; it is built on fairness, empathy, and the capacity to interpret human intent. Even the most advanced algorithm cannot grasp the nuance of remorse, the context of equality, or the moral complexity behind each ruling. The question is whether societies are ready to trust machine intelligence to participate in moral reasoning.

The final, almost utopian scenario would be a world where AI itself serves as a judge who is unbiased, tireless, and immune to human error or emotion. Yet even as this vision fascinates technologists, legal experts across Europe, including the EU Commission and the OECD, stress that such a future must remain purely theoretical. Human judges, they argue, must always stay at the heart of justice- AI may assist in the process, but it must never be the one to decide it. The idea is not to replace judges but to help them navigate the overwhelming sea of information that modern justice generates.

Courts may soon become smarter, but true justice still depends on something no algorithm can replicate: the human conscience. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for prosecutors: Investigating with superhuman efficiency

Prosecutors today are also sifting through thousands of documents, recordings, and messages for every major case. AI can act as a powerful investigative partner, highlighting connections, spotting anomalies, and bringing clarity to complex cases that would take humans weeks to unravel. 

Especially in criminal law, cases can involve terabytes of documents, evidence that humans can hardly process within tight legal deadlines or between hearings, yet must be reviewed thoroughly. AI tools can sift through this massive data, flag inconsistencies, detect hidden links between suspects, and reveal patterns that might otherwise remain buried. Subtle details that might escape the human eye can be detected by AI, making it an invaluable ally in uncovering the full picture of a case. By handling these tasks at superhuman speed, AI could also help accelerate the notoriously slow pace of legal proceedings, giving prosecutors more time to focus on strategy and courtroom preparation. 

More advanced systems are already being tested in Europe and the US, capable of generating detailed case summaries and predicting which evidence is most likely to hold up in court. Some experimental tools can even evaluate witness credibility based on linguistic cues and inconsistencies in testimony. In this sense, AI becomes a strategic partner, guiding prosecutors toward stronger, more coherent arguments. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for lawyers: Turning routine into opportunity

The adoption of AI and its capabilities might reach their maximum when it comes to the work of lawyers, where transforming information into insight and strategy is at the core of the profession. AI can take over repetitive tasks: reviewing contracts, drafting documents, or scanning case files, freeing lawyers to focus on the work that AI cannot replace, such as strategic thinking, creative problem-solving, and providing personalised client support. 

AI can be incredibly useful for analysing publicly available cases, helping lawyers see how similar situations have been handled, identify potential legal opportunities, and craft stronger, more informed arguments. By recognising patterns across multiple cases, it can suggest creative questions for witnesses and suspects, highlight gaps in the evidence, and even propose potential defence strategies. 

AI also transforms client communication. Chatbots and virtual assistants can manage routine queries, schedule meetings, and provide concise updates, giving lawyers more time to understand clients’ needs and build stronger relationships. By handling the mundane, AI allows lawyers to spend their energy on reasoning, negotiation, and advocacy.

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

Balancing promise with responsibility

AI is transforming the way courts, prosecutors, and lawyers operate, but its adoption is far from straightforward. While it can make work significantly easier, the technology also carries risks that legal professionals cannot ignore. Historical bias in data can shape AI outputs, potentially reinforcing unfair patterns if humans fail to oversee its use. Similarly, sensitive client information must be protected at all costs, making data privacy a non-negotiable responsibility. 

Training and education are therefore crucial. It is essential to understand not only what AI can do but also its limits- how to interpret suggestions, check for hidden biases, and decide when human judgement must prevail. Without this understanding, AI risks being a tool that misleads rather than empowers. 

The promise of AI lies in its ability to free humans from repetitive work, allowing professionals to focus on higher-value tasks. But its power is conditional: efficiency and insight mean little without the ethical compass of the human professionals guiding it.

Ultimately, the justice system is more than a process. It is about fairness, empathy, and moral reasoning. AI can assist, streamline, and illuminate, but the responsibility for decisions, for justice itself, remains squarely with humans. In the end, the true measure of AI’s success in law will be how it enhances human judgement, not how it replaces it.

So, is the world ready for AI to rule justice? The answer remains clear. While AI can transform how justice is delivered, the human mind, heart, and ethical responsibility must remain at the centre. AI may guide the way, but it cannot and should not hold the gavel.

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Adobe unveils AI Foundry for enterprise model building

Adobe has launched a new enterprise service allowing firms to build custom AI models. The platform, called Adobe AI Foundry, lets companies train generative AI on their branding and intellectual property.

Based on Adobe’s Firefly models, the service can produce text, images, video, and 3D content. Pricing depends on usage, offering greater flexibility than Adobe’s traditional subscription model.

Adobe’s Firefly technology, first introduced in 2023, has already helped clients create over 25 billion assets. Foundry’s tailored models are expected to speed up campaign production while maintaining consistent brand identity across markets.

Hannah Elsakr, Adobe’s vice president for generative AI ventures, said the tools aim to enhance, not replace, human creativity. She emphasised that Adobe’s mission remains centred on supporting artists and marketers in telling powerful stories through technology.

The company believes its ethical approach to AI training and licensing could set a standard for enterprise-grade creative tools. Analysts say it also positions Adobe strongly against rivals offering generic AI solutions.

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Innovation versus risk shapes Australia’s AI debate

Australia’s business leaders were urged to adopt AI now to stay competitive, despite the absence of hard rules, at the AI Leadership Summit in Brisbane. The National AI Centre unveiled revised voluntary guidelines, and Assistant Minister Andrew Charlton said a national AI plan will arrive later this year.

The guidance sets six priorities, from stress-testing and human oversight to clearer accountability, aiming to give boards practical guardrails. Speakers from NVIDIA, OpenAI, and legal and academic circles welcomed direction but pressed for certainty to unlock stalled investment.

Charlton said the plan will focus on economic opportunity, equitable access, and risk mitigation, noting some harms are already banned, including ‘nudify’ apps. He argued Australia will be poorer if it hesitates, and regulators must be ready to address new threats directly.

The debate centred on proportional regulation: too many rules could stifle innovation, said Clayton Utz partner Simon Newcomb, yet delays and ambiguity can also chill projects. A ‘gap analysis’ announced by Treasurer Jim Chalmers will map which risks existing laws already cover.

CyberCX’s Alastair MacGibbon warned that criminals are using AI to deliver sharper phishing attacks and flagged the return of erotic features in some chatbots as an oversight test. His message echoed across panels: move fast with governance, or risk ceding both competitiveness and safety.

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AWS outage turned a mundane DNS slip into global chaos

Cloudflare’s boss summed up the mood after Monday’s chaos, relieved his firm wasn’t to blame as outages rippled across more than 1,000 companies. Snapchat, Reddit, Roblox, Fortnite, banks, and government portals faltered together, exposing how much of the web leans on Amazon Web Services.

AWS is the backbone for a vast slice of the internet, renting compute, storage, and databases so firms avoid running their own stacks. However, a mundane Domain Name System error in its Northern Virginia region scrambled routing, leaving services online yet unreachable as traffic lost its map.

Engineers call it a classic failure mode: ‘It’s always DNS.’ Misconfigurations, maintenance slips, or server faults can cascade quickly across shared platforms. AWS says teams moved to mitigate, but the episode showed how a small mistake at scale becomes a global headache in minutes.

Experts warned of concentration risk: when one hyperscaler stumbles, many fall. Yet few true alternatives exist at AWS’s scale beyond Microsoft Azure and Google Cloud, with smaller rivals from IBM to Alibaba, and fledgling European plays, far behind.

Calls for UKEU cloud sovereignty are growing, but timelines and costs are steep. Monday’s outage is a reminder that resilience needs multi-region and multi-cloud designs, tested failovers, and clear incident comms, not just faith in a single provider.

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AI is transforming patient care and medical visits

AI is increasingly shaping the patient experience, from digital intake forms to AI-powered ambient scribes in exam rooms. Stanford experts explain that while these tools can streamline processes, patients should remain aware of how their data is collected, stored, and used.

De-identified information may still be shared for research, marketing, or AI training, raising privacy considerations.

AI is also transforming treatment planning. Platforms like Atropos Health allow doctors to query hundreds of millions of records, generating real-world evidence to inform faster and more effective care.

Patients may benefit from data-driven treatment decisions, but human oversight remains essential to ensure accuracy and safety.

Outside the clinic, AI is being integrated into health apps and devices. From mental health support to disease detection, these tools offer convenience and early insights. Experts warn that stronger evaluation and regulation are needed to confirm their reliability and effectiveness.

Patients are encouraged to ask providers about data storage, third-party access, and real-time recording during visits. While AI promises to improve healthcare, realistic expectations are vital, and individuals should actively monitor how their personal health information is used.

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IAEA launches initiative to protect AI in nuclear facilities

The International Atomic Energy Agency (IAEA) has launched a new research project to strengthen computer security for AI in the nuclear sector. The initiative aims to support safe adoption of AI technologies in nuclear facilities, including small modular reactors and other applications.

AI and machine learning systems are increasingly used in the nuclear industry to improve operational efficiency and enhance security measures, such as threat detection. These technologies bring risks like data manipulation or misuse, requiring strong cybersecurity and careful oversight.

The Coordinated Research Project (CRP) on Enhancing Computer Security of Artificial Intelligence Applications for Nuclear Technologies will develop methodologies to identify vulnerabilities, implement protection mechanisms, and create AI-enabled security assessment tools.

Training frameworks will also be established to develop human resources capable of managing AI securely in nuclear environments.

Research organisations from all IAEA member states are invited to join the CRP. Proposals must be submitted by 30 November 2025, with participation encouraged for women and young researchers. The IAEA offers further details through its CRP contact page.

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China leads the global generative AI adoption with 515 million users

In China, the use of generative AI has expanded unprecedentedly, reaching 515 million users in the first half of 2025.

The figure, released by the China Internet Network Information Centre, shows more than double the number recorded in December and represents an adoption rate of 36.5 per cent.

Such growth is driven by strong digital infrastructure and the state’s determination to make AI a central tool of national development.

The country’s ‘AI Plus’ strategy aims to integrate AI across all sectors of society and the economy. The majority of users rely on domestic platforms such as DeepSeek, Alibaba Cloud’s Qwen and ByteDance’s Doubao, as access to leading Western models remains restricted.

Young and well-educated citizens dominate the user base, underlining the government’s success in promoting AI literacy among key demographics.

Microsoft’s recent research confirms that China has the world’s largest AI market, surpassing the US in total users. While the US adoption has remained steady, China’s domestic ecosystem continues to accelerate, fuelled by policy support and public enthusiasm for generative tools.

China also leads the world in AI-related intellectual property, with over 1.5 million patent applications accounting for nearly 39 per cent of the global total.

The rapid adoption of home-grown AI technologies reflects a strategic drive for technological self-reliance and positions China at the forefront of global digital transformation.

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