Future of work

Greece marks six years of gov.gr and unveils public service CRM

The Greek government has marked the sixth anniversary of gov.gr by presenting new figures on the platform’s use and outlining the next phase of public sector digitalisation.

At an event organised by the Ministry of Digital Governance and Artificial Intelligence, officials highlighted the expansion of Greece’s digital public services. They presented a new unified customer relationship management system for citizens and businesses.

According to the ministry, gov.gr now offers more than 2,257 digital services and has been used by over 9 million citizens. More than 431 million documents and certificates have been issued through the platform since its launch. At the same time, the digitisation and simplification of 20 selected procedures is estimated to generate annual savings of €312 million.

The new CRM infrastructure is intended to consolidate interactions between citizens, businesses and public services into a single environment. Requests and cases submitted through gov.gr, Citizens’ Service Centres and call centres will be tracked in one place, allowing users to follow their status and receive updates on the service handling the case and its expected completion.

The CRM project is being implemented under Greece’s National Recovery and Resilience Plan, ‘Greece 2.0’, with financing from the EU’s NextGenerationEU programme. Officials said the system is intended to reduce bureaucracy, improve transparency and make public administration more consistent across different service channels.

Why does it matter?

The move points to a shift in digital government from putting individual services online towards building an integrated public service infrastructure. If implemented effectively, a unified CRM system could make interactions with the state more traceable and coordinated, while also raising important questions about interoperability, data governance, service accountability and citizens’ access to public administration across digital and non-digital channels.

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UK to test AI legal assistants to help reduce court delays

The UK government will develop and test AI legal assistants as part of a broader set of technology initiatives aimed at reducing court delays and improving the efficiency of the justice system. The Ministry of Justice said the tools will support routine casework, including research and case analysis, before any possible use in the Crown Court.

The AI legal assistants will be developed in collaboration with legal professionals and AI developers, with initial testing taking place in controlled environments. The government said the trials will help establish standards for the safe and ethical use of AI in legal settings and ensure any future systems meet the expectations of judges and legal practitioners before wider deployment.

Judges are also preparing to test an AI tool designed to identify trial-ready cases and group similar hearings together. The government said the tool is intended to better use judicial, prosecutorial, and court resources, helping cases move more quickly for victims.

The announcement also covers Justice Transcribe, an AI tool now available to every probation officer in England and Wales. The tool records and transcribes conversations with offenders, reducing the administrative burden associated with transferring handwritten notes into digital systems.

According to the government, Justice Transcribe could free up the equivalent of 18,750 days annually, enabling probation officers to spend more time supervising offenders and supporting efforts to reduce reoffending. A similar transcription tool is being trialled in Immigration and Asylum Tribunals to support judges with case notes and reduce administrative pressure.

The projects form part of the Prime Minister’s AI Exemplars programme, which aims to accelerate the adoption of AI across public services. The government also pointed to AI Growth Labs, secure testing environments intended to help the UK lawtech sector develop and refine AI products before bringing them to market.

Why does it matter?

Justice systems around the world are exploring how AI can help address growing caseloads, administrative burdens and resource constraints. Applications such as legal research assistance, transcription services and case management tools have the potential to improve efficiency while allowing legal professionals to focus on higher-value tasks.

At the same time, the use of AI in judicial and legal contexts raises important questions about accountability, transparency, fairness and human oversight. The UK’s emphasis on controlled testing and ethical safeguards reflects growing recognition that AI deployment in the justice sector requires robust governance alongside technological innovation.

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Stanford Medicine pilot finds safe use of AI in clinical summaries

A Stanford Medicine pilot study has found that an AI-powered tool can help doctors prepare hospital discharge summaries while easing cognitive burden and reducing reported burnout.

The in-house system, known as MedAgentBrief, was designed to condense complex patient histories into draft discharge summaries for physician review. Discharge summaries are essential for continuity of care, but can be time-consuming because doctors must summarise days or weeks of clinical information for outpatient providers.

The tool was piloted for 10 weeks at a Stanford Health Care unit at Sequoia Hospital. Eleven physicians received secure daily emails containing AI-generated summaries for each of their patients, using a format based on a best-practice discharge summary template.

Doctors were asked to review the summaries and provide feedback on inaccuracies, omissions, hallucinations and potential harm. Feedback on 100 AI-enabled summaries found omissions in 25% and inaccuracies in 20%, while hallucinations were rare at 2%.

Physicians rated most unedited summaries as having no harm potential, while some were judged to have mild harm potential. One summary was initially rated as likely to cause moderate harm, but independent reviewers later determined that it posed no risk. No severe harm was reported.

The pilot did not show large time savings. Physicians felt they saved more than 10 minutes per discharge summary, but electronic medical record logs suggested the actual savings were modest, at around three minutes at best. Researchers said the benefit may have come from reducing the effort required to write summaries from scratch.

Participating physicians also reported lower burnout scores. Researchers said the findings suggest AI-generated discharge summaries can support clinical documentation when used under physician supervision, while further evaluation will be needed as health systems consider vendor-based tools.

Why does it matter?

The pilot is useful because it focuses on a practical, high-friction healthcare workflow rather than a speculative AI use case. Discharge summaries affect continuity of care, and poor documentation can create risks for patients after they leave the hospital. Stanford’s findings suggest AI may help reduce doctors’ cognitive load, but also show why human review remains essential: omissions and inaccuracies were common enough that the tool should be treated as clinical support, not automation.

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EY Malta expands AI in audit services

EY Malta has introduced enterprise-scale agentic AI across its Assurance services, integrating the technology into EY Canvas, the firm’s global audit platform.

The rollout forms part of EY’s wider global strategy to embed AI into audit workflows and support audit quality, risk assessment, and client insights.

EY said the AI-enabled framework helps auditors analyse large volumes of data, assess risks, and access updated auditing and accounting guidance in real time. The firm said the technology is designed to support, not replace, auditors, with professional judgement and human oversight remaining central to the audit process.

The system is integrated with Microsoft Azure, Microsoft Foundry, and Microsoft Fabric, reflecting EY’s broader global partnership with Microsoft on the secure and scalable deployment of AI.

EY said the rollout follows global testing and is part of its long-term investment in audit quality, technology, and workforce development. The firm added that further AI enhancements are planned over the coming years as audit teams use the tools across more stages of the audit process.

EY Malta also highlighted related assurance and advisory services linked to AI readiness, governance, and risk management. The firm said the technology would allow teams in Malta to focus more on risk and audit quality while reducing administrative work.

Why does it matter?

The rollout shows how agentic AI is moving into regulated professional services, including audit, where accuracy, accountability, and human judgement remain central. AI could help auditors analyse larger datasets and focus on higher-risk areas. Still, it also raises questions about oversight, explainability, skills, liability, and how regulators assess AI-supported audit work.

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UK launches £200 million initiative to accelerate AI adoption across the economy

The UK government has unveiled a nationwide initiative to accelerate AI adoption, announcing more than £200 million in funding to help businesses deploy AI technologies while strengthening workforce skills.

The announcement was made at the inaugural AI Adoption Summit, which brought together technology companies, trade unions and industry leaders to discuss the practical deployment of AI across the economy.

The programme includes a £100 million expansion of the Bridge AI scheme to connect businesses with AI solutions and expertise, alongside £53 million for new AI innovation and adoption initiatives. Additional funding will support AI Growth Zones, scholarships, workforce training and sector-specific programmes aimed at helping organisations adopt AI responsibly and effectively.

A key element of the initiative is the creation of the AI Economics Institute, chaired by Nobel Prize-winning economist Simon Johnson. The institute will examine how AI affects employment, productivity and economic growth.

More than 30 companies have also committed to sharing data and experiences related to workplace AI adoption to help inform future policy development.

The UK government said the strategy seeks to increase AI adoption across businesses while ensuring workers gain the skills needed to benefit from technological change. Alongside public investment, several technology companies announced additional commitments focused on training, workforce development, research and business support.

Why does it matter?

Governments are increasingly shifting their focus from supporting AI research alone to encouraging widespread adoption across businesses and public services. Many policymakers see AI deployment as a key driver of productivity, competitiveness and economic growth, provided organisations and workers have the skills needed to use the technology effectively.

The UK’s initiative reflects this broader trend by combining investment in AI adoption with workforce development and evidence-based policymaking. The creation of the AI Economics Institute also signals growing interest in understanding how AI will affect jobs, productivity and economic performance as adoption accelerates.

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Belgium outperforms EU average in business AI use

Belgium ranks among Europe’s top five countries for business use of AI, with more than a third of companies now using at least one AI technology.

In 2025, 34.54% of Belgian companies reported using AI, up from 24.71% in 2024. The figure is well above the European average of 19.95%, according to the latest Belgian Digital Economy Overview.

Adoption varies strongly by company size. More than 76% of large enterprises already use AI technologies, compared with just over 28% of small businesses.

The most common business applications include text analysis, content production (written or spoken), machine learning, and workflow automation. Companies mainly use AI for administrative and management processes, accounting and finance, and marketing and sales.

AI use is also rising among individuals. In 2025, 33.53% of Belgians used generative AI tools for personal use, compared with the European average of 25.09%.

Digitalisation Minister Vanessa Matz said Belgium should build on the momentum with a coherent strategy that strengthens expertise, supports talent, improves access to European technological capabilities, and builds trust.

She also stressed that AI development should take place within a clear, protective, and inclusive framework that respects privacy, prevents bias, and avoids widening inequalities.

Why does it matter?

Belgium’s AI uptake shows that business adoption is no longer limited to experimentation, especially among large companies. The gap between large enterprises and small businesses also matters, because uneven adoption could widen productivity differences inside the economy. The policy challenge is to support broader AI use while building safeguards around privacy, bias, skills, and inclusion.

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UK launches AI skills and jobs initiative for young people

The UK government has announced a new package for young people entering the labour market as AI continues to reshape entry-level roles and career pathways. The package includes an Early Careers Jobs Alliance, AI bootcamps, and expanded technology training for students from disadvantaged schools, with AI bootcamps serving as a central route into paid apprenticeships for young people at risk of unemployment.

The Early Careers Jobs Alliance will bring together government, employers, trade unions and young people to examine how AI is changing entry-level employment and career development. Backed by £20 million in funding, the initiative will initially focus on the Digital and Technologies sector before expanding across all eight Industrial Strategy sectors, including advanced manufacturing, clean energy, defence, financial services, and life sciences.

The alliance will analyse how entry-level work is evolving, develop guidance for businesses on redesigning roles while preserving career pathways, and identify examples of good practice. An initial report is expected in autumn.

Through the TechFirst programme, at least 400,000 students from some of the UK’s most disadvantaged schools will receive support in AI and digital skills through training sessions, competitions, extracurricular activities and engagement with industry. The AI bootcamps are intended to provide a more direct route into work for young people at risk of leaving education or training.

The UK government will also pilot free AI bootcamps in Lancashire and Greater Manchester this summer for young people at risk of leaving school after GCSEs and entering unemployment. Participants who successfully complete the bootcamp will be guaranteed a paid AI apprenticeship with local employers, with a broader rollout across England planned if the pilot proves successful.

A separate pilot linked to the North East AI Growth Zone will launch in early 2027 for young people aged 18 to 24 who are not in education or employment. Participants will receive at least 6 months of hands-on AI training with companies including Accenture, Microsoft, and Sage.

Why does it matter?

AI is beginning to transform many entry-level and administrative roles, raising concerns about how young people will gain work experience and build careers in an increasingly automated economy.

The UK’s approach combines workforce planning, skills development and employer engagement to help ensure that AI adoption creates new opportunities rather than limiting access to employment. The initiative also reflects growing efforts by governments to align education and training systems with the changing demands of the labour market.

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India targets dark patterns with fines for PhysicsWallah and McAfee

India’s Central Consumer Protection Authority has fined PhysicsWallah and McAfee Software India for using dark patterns that the regulator said misled consumers and influenced their choices on digital platforms.

PhysicsWallah was fined ₹5 lakh, while McAfee was fined ₹1 lakh. Both companies were directed to remove the practices from their platforms and ensure that users can make informed choices without pressure or manipulation.

The action was taken under the Consumer Protection Act 2019, the Consumer Protection (E-Commerce) Rules 2020, and the Guidelines for Prevention and Regulation of Dark Patterns 2023.

In the PhysicsWallah case, the regulator found that a ₹10 donation to the PW Foundation was automatically selected during checkout and added to the total payable amount without the consumer’s explicit consent. Users were also shown emotional messages related to children’s education, healthcare, and marriages that encouraged them to keep the donation selected.

The CCPA also found that courses advertised as free could only be accessed after users shared personal information such as a mobile number and email address. The regulator said the content remained the same across user accounts, indicating that mandatory data collection was not necessary to access the courses.

The authority identified basket sneaking, confirm shaming, and forced action in the PhysicsWallah case. It also said the practices raised serious consumer protection concerns because many users on the platform are students, including minors.

In the McAfee case, the CCPA found that users deciding whether to renew subscriptions were shown options such as ‘Renew Now’ and ‘Accept Risk’. The authority said the wording portrayed non-renewal as a risky decision and created pressure on consumers to continue their subscriptions.

The regulator identified confirmation shaming, interface interference, trick questions, and forced action in McAfee’s renewal process, saying consumers should be able to make subscription decisions freely and without fear-based messaging or misleading design.

The CCPA said the orders form part of its continued action against dark patterns in digital marketplaces. It reiterated that consumer consent must be explicit, informed, and free from manipulative design practices.

Why does it matter?

The penalties show that dark pattern rules in India are moving from guidance to enforcement. By targeting pre-selected donations, emotionally loaded opt-out messages, forced data sharing, and fear-based subscription renewal design, the CCPA is signalling that manipulative interface design can be treated as a consumer protection violation, not just a poor user experience.

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Canada launches AI for All national strategy to accelerate adoption and digital sovereignty

Canada has launched AI for All, a new national AI strategy aimed at accelerating AI adoption, strengthening digital sovereignty, and positioning the country as a leading AI economy.

Announced by Prime Minister Mark Carney, the strategy combines proposed legislation, investments, and programmes intended to ensure AI is adopted responsibly and benefits businesses, workers, students, and communities across Canada.

The strategy targets an additional C$200 billion in economic growth, 250,000 new AI-related jobs over the next five years, and an increase in AI adoption from just over 12% today to 60% by 2034. The government also plans to provide up to 90,000 AI-related jobs and work placement opportunities for young Canadians.

The strategy is built around three principles: building trust, creating opportunities, and reinforcing Canadian sovereignty. To build trust, the government plans to modernise digital legislation, strengthen protections for personal information, address harms such as deepfakes and surveillance pricing, introduce an online safety regime, and expand the capabilities of the Canadian AI Safety Institute.

To create opportunities, the government will establish a National AI Literacy Initiative, provide access to trusted AI agents for post-secondary students, help small and medium-sized businesses adopt AI, support worker training, and launch an AI Missions Program with a flagship health mission focused on diagnostics, patient care, and system efficiency.

To reinforce sovereignty, Canada plans to build domestic AI foundations, including compute, cloud, connectivity, data, and talent. Measures include a world-leading public AI supercomputer, investments in sovereign compute and cloud infrastructure, better access to growth capital for Canadian AI companies, strategic public procurement, and expanded support for AI talent.

The government said the strategy is intended to ensure more AI value is created in Canada while strengthening privacy, data protection, public services, productivity, and economic security.

Why does it matter?

Canada’s AI for All strategy links AI adoption directly to economic growth, workforce development, public trust, and technological sovereignty. The strategy reflects a wider shift among governments: AI policy is no longer focused only on research excellence, but also on compute infrastructure, cloud sovereignty, data governance, safety institutions, business adoption, public procurement, and skills. Its success will depend on whether Canada can turn ambitious targets into measurable adoption across businesses, public services, and workers.

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ILO calls for stronger EU action on mental health, AI and climate risks at work

The International Labour Organization has called for occupational disease prevention, mental health risks, AI, and climate change to become central elements of the European Union’s future workplace health and safety agenda.

The intervention was delivered during a European Parliament hearing on the EU strategic framework on occupational safety and health after 2027.

The ILO stressed that while Europe has reduced fatal workplace accidents, occupational diseases now account for more than 98% of work-related deaths in the EU. Cancer, respiratory diseases, and circulatory diseases remain the leading causes, underscoring the need for stronger prevention, better labour inspection, and improved recognition of work-related illness.

The organisation also highlighted emerging risks linked to digitalisation and environmental change. AI-driven systems are reshaping working conditions through algorithmic management, surveillance, and automated decision-making, while psychosocial pressures and mental health risks are becoming a growing concern for workers.

Climate change was also identified as a major occupational safety and health challenge, with rising temperatures and extreme weather events increasing risks across European workplaces.

The ILO urged the EU policymakers to integrate these evolving risks into a renewed strategic framework, alongside stronger international cooperation and prevention-based approaches. It said Europe can help shape global workplace safety standards through coordinated regulation, effective prevention, and sustainable working conditions.

Why does it matter?

The ILO’s intervention shows how workplace safety policy is expanding beyond traditional accident prevention. AI systems, algorithmic management, psychosocial risks, occupational disease, and climate-related hazards are becoming part of the same strategic debate. For the EU, the post-2027 framework will be a test of whether workplace regulation can adapt to technology-driven work organisation, demographic pressures, and climate volatility.

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