Dutch lawmakers have approved a new tax law that will impose a 36% levy on actual investment returns, including both realised and unrealised gains from cryptocurrencies such as Bitcoin and Ethereum.
The law, called the Actual Return in Box 3 Act, takes effect on 1 January 2028 and applies annually, meaning investors will owe tax even if assets are not sold.
Real estate and startup shares are exempt from mark-to-market taxation, raising concern among crypto investors. Critics say taxing paper gains may force investors to sell assets or consider moving to more favourable jurisdictions.
The government defended the measure as essential to prevent significant revenue losses.
The legislation includes some relief measures, such as a tax-free annual return for small savers and unlimited loss carry-forward above certain thresholds, allowing investors to offset downturns against future gains.
Despite these provisions, many crypto advocates argue that taxing unrealised gains remains problematic.
Crypto adoption in the Netherlands is growing rapidly. Indirect holdings by Dutch companies, institutions, and households reached $1.42 billion by October 2025, up from $96 million in 2020.
Officials say the long-term goal is to move towards a realised gains model, but annual taxation of paper gains is currently seen as necessary to safeguard public finances.
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The European Parliament has disabled AI features on the tablets it provides to lawmakers, citing cybersecurity and data protection concerns. Built-in AI tools like writing and virtual assistants have been disabled, while third-party apps remain mostly unaffected.
The decision follows an assessment highlighting that some AI features send data to cloud services rather than processing it locally.
Lawmakers have been advised to take similar precautions on their personal devices. Guidance includes reviewing AI settings, disabling unnecessary features, and limiting app permissions to reduce exposure of work emails and documents.
Officials stressed that these measures are intended to prevent sensitive data from being inadvertently shared with service providers.
The move comes amid broader European scrutiny of reliance on overseas digital platforms, particularly US-based services. Concerns over data sovereignty and laws like the US Cloud Act have amplified fears that personal and sensitive information could be accessed by foreign authorities.
AI tools, which require extensive access to user data, have become a key focus in ongoing debates over digital security in the EU.
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Ericsson and Microsoft have integrated advanced 5G into Windows 11 to simplify secure enterprise laptop connectivity. The update embeds AI-driven 5G management, enabling IT teams to automate connections and enforce policy-based controls at scale.
The solution combines Microsoft Intune with Ericsson Enterprise 5G Connect, a cloud-based platform that monitors network quality and optimises performance. Enterprises can switch service providers and automatically apply internal connectivity policies.
IT departments can remotely provision eSIMs, prioritise 5G networks, and enforce secure profiles across laptop fleets. Automation reduces manual configuration and ensures consistent compliance across locations and service providers.
The companies say the integration addresses long-standing barriers to adopting cellular-connected PCs, including complexity and fragmented management. Multi-market pilots have preceded commercial availability in the United States, Sweden, Singapore, and Japan.
Additional launches are planned in 2026 across Spain, Germany, and Finland. Executives from both firms describe the collaboration as a step toward AI-ready enterprise devices with secure, always-on connectivity.
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Google published its latest Responsible AI Progress Report, showing how AI Principles guide research, product development, and business decisions. Rising model capabilities and adoption have moved the focus from experimentation to real-world industry integration.
Governance and risk management form a central theme of the report, with Google describing a multilayered oversight structure spanning the entire AI lifecycle.
Advanced testing methods, including automated adversarial evaluations and expert review, are used to identify and mitigate potential harms as systems become more personalised and multimodal.
Broader access and societal impact remain key priorities. AI tools are increasingly used in science, healthcare, and environmental forecasting, highlighting their growing role in tackling global challenges.
Collaboration with governments, academia, and civil society is presented as essential for maintaining trust and setting industry standards. Sharing research and tools continues to support responsible AI innovation and broaden its benefits.
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Meta announced a multiyear partnership with NVIDIA to build large-scale AI infrastructure across on-premises and cloud systems. Plans include hyperscale data centres designed for both training and inference workloads, forming a core part of the company’s long-term AI roadmap.
Deployment will include millions of Blackwell and Rubin GPUs, plus expanded use of NVIDIA CPUs and Spectrum-X networking. According to Mark Zuckerberg, the collaboration is intended to support advanced AI systems and broaden access to high-performance computing capabilities worldwide.
Jensen Huang highlighted the scale of Meta’s AI operations and the role of deep hardware-software integration in improving performance.
Efficiency gains remain a central objective, with Meta increasing the rollout of Arm-based NVIDIA Grace CPUs to improve performance per watt in data centres. Future Vera CPU deployment is being considered to expand energy-efficient computing later in the decade.
Privacy-focused AI development forms another pillar of the partnership. NVIDIA Confidential Computing will first power secure AI features on WhatsApp, with plans to expand across more services as Meta scales AI to billions of users.
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Ericsson and Mastercard will integrate Mastercard Move into the Ericsson Fintech Platform to expand digital wallets and cross-border transfers. The partnership targets telecom operators, banks, and fintechs seeking to launch new payment services and reach underserved communities.
By combining Ericsson’s cloud-native fintech infrastructure with Mastercard Move’s money transfer network, the companies aim to simplify integration, deployment, and compliance. The integration is designed to reduce operational complexity and accelerate time-to-market for digital payment services.
Mastercard Move supports transfers in over 200 countries and territories and enables transactions in 150 currencies. Ericsson’s fintech platform operates in 22 countries, serving more than 120 million users and processing over 4 billion transactions per month.
The companies said the collaboration is intended to create new revenue streams and strengthen digital ecosystems in both emerging and developed markets. A global rollout will begin in the Middle East and Africa, where demand for mobile money and interoperable payment systems continues to grow.
Executives said the partnership will support faster, more secure cross-border transfers and promote financial inclusion. The integration aims to help telecom providers and financial institutions scale digital payment services and expand access to the digital economy.
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India’s IT sector could reach $400 billion by 2030, Prime Minister Narendra Modi said in an interview with ANI, highlighting AI as a key growth driver. Services exports remain central to India’s economic expansion, with AI expected to reshape outsourcing and domain-specific automation.
Modi argued that AI is not replacing the IT industry but transforming it. General-purpose AI tools are becoming widespread, while enterprise-grade adoption remains concentrated in specific sectors where established IT firms continue solving complex business challenges.
Government policy is anchored in the IndiaAI Mission, which aims to expand access to computing infrastructure and strengthen domestic innovation. Modi said GPU targets have already been exceeded, with further investment planned to ensure affordable access for startups and enterprises.
Four Centres of Excellence have been established in healthcare, agriculture, education and sustainable cities, alongside five National Centres of Excellence for Skilling. Authorities aim to equip the workforce with industry-relevant AI expertise to support long-term competitiveness.
Strategic ambition extends beyond service delivery toward building AI products and platforms for domestic and global markets. Policymakers in India position AI as a catalyst for higher productivity, stronger digital infrastructure, and broader economic resilience.
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Concerns over privacy safeguards have resurfaced as the European Data Protection Supervisor urges legislators to limit indiscriminate chat-scanning in the upcoming extension of temporary EU rules.
The supervisor warns that the current framework risks enabling broad surveillance instead of focusing on targeted action against criminal content.
The EU institutions are considering a short-term renewal of the interim regime governing the detection of online material linked to child protection.
Privacy officials argue that such measures need clearer boundaries and stronger oversight to ensure that automated scanning tools do not intrude on the communications of ordinary users.
EDPS is also pressing lawmakers to introduce explicit safeguards before any renewal is approved. These include tighter definitions of scanning methods, independent verification, and mechanisms that prevent the processing of unrelated personal data.
According to the supervisor, temporary legislation must not create long-term precedents that weaken confidentiality across messaging services.
The debate comes as the EU continues discussions on a wider regulatory package covering child-protection technologies, encryption and platform responsibilities.
Privacy authorities maintain that targeted tools can be more practical than blanket scanning, which they consider a disproportionate response.
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Mistral AI has strengthened its position in Europe’s AI sector through the acquisition of Koyeb. The deal forms part of its strategy to build end-to-end capacity for deploying advanced AI systems across European infrastructure.
The company has been expanding beyond model development into large-scale computing. It is currently building new data centre facilities, including a primary site in France and a €1.2 billion facility in Sweden, both aimed at supporting high-performance AI workloads.
The acquisition follows a period of rapid growth for Mistral AI, which reached a valuation of €11.7 billion after investment from ASML. French public support has also played a role in accelerating its commercial and research progress.
Mistral AI now positions itself as a potential European technology champion, seeking to combine model development, compute infrastructure and deployment tools into a fully integrated AI ecosystem.
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Major updates to AI tooling are reshaping website creation as WordPress.com brings an integrated assistant directly into its editor.
The new system works within each site rather than relying on external chat windows, allowing users to adjust layouts, create content, and modify designs in real time. The tool is available to customers on Business and Commerce plans, although activation requires a manual opt-in.
The assistant appears across several core areas of the platform. Inside the editor, it can refine writing, modify styles, translate text and generate new sections with simple instructions.
In the Media Library, you can create new images or apply targeted edits through the platform’s in-house Nano Banana models, eliminating the need for separate subscriptions. Block notes provide an additional way to request suggestions, checks, or link-based context directly within each page.
The updates aim to make site building faster and more efficient by keeping all AI interactions within the existing workflow. Users who prefer a manual experience can ignore the feature entirely, since the assistant remains inactive unless deliberately enabled.
WordPress.com also notes that the system works best with block themes, although image tools are still available for classic themes.
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