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EU Commission reviews Android DMA rules on interoperability

The European Commission is consulting third parties on proposed measures requiring Alphabet to ensure effective interoperability between Google Android and AI services under the Digital Markets Act.

The draft measures focus on AI services’ access to key Android capabilities, including wake-word activation, contextual data, integration with applications, and access to hardware and software resources needed for reliable and responsive services.

The Commission opened proceedings in January 2026 to specify how Alphabet should comply with DMA interoperability obligations for features relevant to AI services. Its proposed measures cover invocation, context, actions on apps and the operating system, access to resources, and general requirements such as free access, documented frameworks and APIs, technical assistance and reporting.

Stakeholders were asked to comment on the effectiveness, completeness, feasibility and implementation timelines of the proposed measures, particularly from the perspective of AI service providers and Android device manufacturers.

Input from Alphabet and interested third parties may lead to adjustments before the Commission adopts a final decision-making the measures legally binding. The Commission is expected to adopt that decision by 27 July 2026.

Why does it matter?

The case shows how the DMA is being applied to the emerging competitive landscape for AI assistants and mobile operating systems. If third-party AI services need access to Android features such as wake words, contextual data, app actions and on-device resources to compete effectively, interoperability rules could shape which AI tools reach users and how much control gatekeepers retain over mobile AI ecosystems.

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Anthropic launches Claude Platform on AWS with managed AI agent tools

Anthropic has made Claude Platform on AWS generally available, giving AWS customers access to Claude Platform features through AWS authentication, billing and infrastructure integrations.

The platform includes Claude Managed Agents, code execution, web search, web fetch, prompt caching, batch processing, citations, support for the Files API, and support for Skills and MCP connectors. Anthropic said new Claude models and beta tools will become available on AWS at the same time they launch on the native Claude API.

Authentication runs through AWS Identity and Access Management, while audit logging is handled through AWS CloudTrail and billing through a single AWS invoice. Anthropic said the service is designed for organisations seeking native Claude Platform functionality while staying within existing AWS credentials, permissions and operational workflows.

The company also clarified the distinction between Claude Platform on AWS and Claude on Amazon Bedrock. Under the new platform, Anthropic operates the service and data is processed outside the AWS boundary.

By contrast, Claude on Amazon Bedrock keeps AWS as the data processor and operates within the AWS boundary, making it more suitable for customers with strict regional data residency requirements or those needing data processed exclusively within AWS infrastructure.

Why does it matter?

The launch shows how competition between major AI providers is shifting towards enterprise deployment, cloud integration and agent-based automation. For organisations, the choice is no longer only about model performance, but also about where data is processed, how access is controlled, how audit logs are handled and whether AI agents can be deployed within existing cloud governance systems.

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Bhutan’s Gelephu city launches fast-track crypto licensing for global firms

Bhutan’s Gelephu Mindfulness City has launched an accelerated pathway for crypto and fintech firms already regulated in major financial hubs such as Singapore, Hong Kong and Abu Dhabi.

The system is intended to reduce duplication in compliance checks while allowing eligible companies to incorporate in Gelephu, seek local regulatory approval, and open corporate bank accounts through a coordinated process involving DK Bank, the city’s official banking partner. Standard Know Your Customer and Anti-Money Laundering checks will still apply.

Officials said foreign licences will not replace local supervision, but will instead help streamline due diligence. The framework also differs from passporting models used in regions such as the European Union, as each firm must still meet Gelephu’s own regulatory requirements.

Gelephu Mindfulness City also rejected speculation linking recent Bitcoin transfers flagged by analytics platforms to reserve sales. Officials said Bitcoin held under the country’s ‘Bitcoin Development Pledge’ remains part of strategic reserves allocated for the long-term development of the city.

Why does it matter?

The move shows how smaller jurisdictions are competing for digital asset and fintech firms by offering faster market entry while trying to preserve regulatory credibility. By recognising existing licences without replacing local supervision, Gelephu is positioning itself as a controlled gateway for firms seeking access to a new crypto and fintech jurisdiction.

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Texas lawsuit targets Netflix data practices

The Attorney General of Texas has filed a lawsuit against Netflix, alleging the company unlawfully collected user data without consent. The case claims the platform tracked extensive behavioural information from both adults and children while presenting itself as privacy-conscious.

According to the lawsuit, Netflix allegedly logged viewing habits, device usage and other interactions, turning user activity into monetised data. The lawsuit further claims that this data was shared with brokers and advertising technology firms to build detailed consumer profiles.

The Attorney General also argues that Netflix designed features to increase engagement, including autoplay, which allegedly encouraged prolonged viewing, particularly among younger users. These practices allegedly contradict the platform’s public messaging about being ad-free and family-friendly.

Texas’s complaint quoted a statement from Netflix co-founder and Chairman Reed Hastings, who allegedly said the company did not collect user data. He sought to distinguish Netflix’s approach from other major technology platforms with regard to data collection.

The Attorney General also claims that Netflix’s alleged surveillance violates the Texas Deceptive Trade Practices Act. The legal action seeks to halt the alleged data practices, introduce stricter controls, such as disabling autoplay for children, and impose penalties under consumer protection law, including civil fines of $ 10,000 per violation. The case highlights ongoing scrutiny of data practices by major technology platforms in the USA.

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WEF report says HR leaders will shape the success of AI transformation

AI is reshaping how companies organise labour, distribute decision-making and redesign internal operations, making workforce strategy a central part of AI adoption.

Writing for the World Economic Forum, Al-Futtaim Group HR director David Henderson argues that many AI projects fail because organisations focus too heavily on technology while neglecting the need to change work, accountability, and operational processes.

The article says successful AI adoption depends on how effectively businesses combine human judgement with machine-driven systems, rather than treating automation as a standalone software rollout.

Using Garry Kasparov’s ‘advanced chess’ model after his 1997 defeat to IBM’s Deep Blue as an example, Henderson highlights how humans working alongside computers eventually outperformed both machines and grandmasters operating independently.

He suggests the same principle is now emerging across modern enterprises, where stronger results come from integrating AI directly into operational workflows rather than isolating it in technical departments.

The article identifies four major responsibilities for HR leaders during AI transformation. As ‘design architects’, Chief Human Resources Officers are expected to redefine which decisions remain human-led, which become AI-assisted and how accountability is distributed across organisations. As ‘capability stewards’, they must build continuous AI learning systems rather than rely on occasional employee training programmes.

HR leaders are also described as ‘adoption catalysts’, responsible for helping frontline employees integrate AI into daily workflows, and as ‘transition guardians’, tasked with managing concerns linked to surveillance, bias, fairness, employability and workforce trust.

Several companies are cited as examples of that transition. Procter & Gamble embedded AI engineers and data scientists directly within operational business units rather than centralising them within analytics teams.

Zurich Insurance developed enterprise-wide AI learning systems focused on transferable skills and workforce redeployment, while Al-Futtaim enabled frontline retail teams to develop AI-supported customer recommendation systems through agile operational groups rather than top-down executive planning.

Why does it matter?

AI competitiveness increasingly depends on organisational adaptability instead of access to technology alone. Workforce redesign, reskilling systems, internal trust, and operational flexibility are becoming critical strategic advantages as automation expands across industries. WEF’s argument highlights how HR departments are evolving from administrative functions into central actors shaping AI governance, labour transformation, and long-term business resilience.

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World Economic Forum analysis explores AI-driven future planning for organisations

A World Economic Forum article argues that organisations need to move beyond static reports and analytical forecasts to become more future-ready in an era marked by rapid technological and geopolitical change.

The article highlights FutureSlam, a foresight method that combines participatory scenario-building, AI-supported reflection and improvisational performance to help organisations experience possible futures rather than analyse them. The authors say many organisations already invest in foresight, but struggle to translate insights into operational decisions because they often remain confined to strategy teams and slide decks.

The approach integrates human imagination with AI-generated scenarios. Participants first develop scenarios themselves, before comparing them with future images generated by an AI system using the same trend material. The authors argue that this comparison can challenge assumptions, confirm parts of participants’ reasoning and introduce perspectives that human groups may avoid.

FutureSlam then uses improvised performance, including simulated news broadcasts and staged scenarios, to make possible futures more tangible. According to the article, the method is designed to make foresight more inclusive, structured and memorable by turning participants into co-creators rather than passive recipients of expert analysis.

The authors suggest that such approaches could help organisations adapt more effectively to technological, geopolitical and societal change by turning foresight into a shared organisational capability rather than a niche strategic exercise.

Why does it matter?

AI is increasingly being used not only to automate tasks, but also to support strategic thinking, scenario-building and organisational learning. The FutureSlam example points to a broader shift in how organisations may prepare for uncertainty: less focus on predicting precise outcomes, and more focus on building the capacity to test assumptions, imagine alternatives and adapt collectively.

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Europe pushes for unified capital markets and stronger banking union

European Central Bank Vice-President Luis de Guindos has called for deeper financial integration in Europe, arguing that more unified capital markets and a stronger banking union are needed to support growth, resilience and competitiveness.

Speaking at a joint European Commission and ECB conference on financial integration, de Guindos said Europe has made progress in integrating financial markets, including through stronger cross-border capital flows and reduced differences in some asset prices across member states. However, he warned that fragmentation persists in areas such as corporate lending, equity markets and foreign direct investment.

Cross-border corporate lending within the euro area accounts for only 14% of total corporate lending, while equity market integration has shown signs of decline since 2022, and foreign direct investment within the euro area has fallen to a historical low, according to the speech.

De Guindos said policy priorities should include a genuine single rulebook for capital markets, a more European supervisory framework and support for a tokenised financial ecosystem through the distributed ledger technology pilot regime. He argued that these measures would reduce legal uncertainty, support digital financial innovation and help remove barriers to cross-border capital market integration.

He also called for further banking union reforms, including treating the banking union as a single European jurisdiction, finalising a European deposit insurance scheme and allowing capital and liquidity to move more freely within cross-border banking groups. Such steps, he said, would help reduce fragmentation and strengthen the euro area’s financial system.

The speech also pointed to the need for a more coherent regulatory framework, including simpler and more harmonised rules for banks, closer attention to regulatory gaps between banks and non-bank financial institutions, and the removal of legal and tax barriers that still limit cross-border activity.

Why does it matter?

Financial fragmentation affects how efficiently Europe can channel savings into investment, support innovation and absorb economic shocks. Deeper capital markets make it easier for businesses to access funding across borders, while a stronger banking union could reduce national barriers and improve resilience during periods of stress.

The speech also connects financial integration with digital finance and strategic autonomy. By linking capital market reform with tokenisation, EU-level supervision and banking union, the ECB is framing financial integration as part of Europe’s broader effort to remain competitive in a more fragmented global economy.

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Chainalysis points to rising adoption of blockchain forecasting

Crypto prediction markets are expanding rapidly as blockchain technology reshapes how users speculate on and hedge against real-world events, according to blockchain analytics firm Chainalysis.

Platforms that allow traders to take positions on elections, interest rates, sports and geopolitical developments have attracted both retail users and institutional firms, pushing the sector towards a more mature financial structure. Chainalysis says activity has grown sharply since late 2024, with inflows reflecting both retail participation and deposits from market makers.

The firm says major financial and crypto companies are increasingly building infrastructure around event-based contracts. It points to the involvement of major financial institutions and crypto platforms such as Robinhood, Coinbase and Crypto.com, which are exploring or launching prediction market offerings.

Chainalysis argues that blockchain transparency could help prediction markets address compliance and market-integrity risks by recording transactions on public ledgers. The firm says that visibility can support investigations into money laundering, sanctions exposure, wash trading, insider trading and market manipulation.

Regulatory uncertainty nevertheless remains a major obstacle. In the United States, regulators and state authorities continue to debate whether some prediction markets should be treated as financial derivatives or gambling products. Chainalysis also notes that several jurisdictions in Europe, Asia-Pacific and Latin America have restricted or blocked major prediction market platforms.

The firm argues that stronger blockchain-based monitoring tools could help regulators and compliance teams support responsible innovation while reducing financial crime and market abuse risks.

Why does it matter?

The growth of crypto prediction markets points to a wider convergence between digital finance, public forecasting and event-based speculation. Institutional interest suggests the sector is moving beyond retail betting, but unresolved questions over gambling law, derivatives regulation, market manipulation and the use of non-public information will shape whether these platforms become a recognised part of financial markets or remain legally fragmented.

Chainalysis also raises a broader governance question: whether public-ledger transparency can make crypto-native markets easier to monitor than traditional betting or derivatives systems, or whether global accessibility and fragmented oversight will create new risks for regulators.

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Dutch court backs Solvinity DigiD contract despite US data access fears

The District Court of The Hague has rejected an attempt by three Dutch citizens to block the government from renewing its contract with Solvinity, the company responsible for hosting and technically managing systems linked to DigiD.

The plaintiffs argued that Solvinity’s planned acquisition by US-based IT provider Kyndryl could place sensitive data from more than 16 million DigiD users under US jurisdiction, potentially exposing it to US authorities and creating risks to critical public services such as healthcare, pensions, taxes, and unemployment systems.

Despite these concerns, the court ruled in favour of the Dutch State, allowing the agreement to proceed. Judges did not accept arguments that the deal would immediately threaten data security or justify halting the contract.

The decision leaves further scrutiny to the Investment Assessment Office, which is reviewing national security risks linked to the acquisition. The case highlights ongoing tensions around digital sovereignty and data protection in the Netherlands.

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Apple may be preparing a major Siri AI shake-up in iOS 27

Apple is reportedly preparing a major expansion of Apple Intelligence that could allow users to choose which AI model powers Siri and other system features. According to recent reports, iOS 27, iPadOS 27, and macOS 27 may introduce a new ‘Extensions’ framework designed to integrate third-party AI systems directly into Apple’s software ecosystem.

The reported feature would allow applications such as Gemini and Claude to connect with Siri through their App Store apps. Users may be able to select different AI providers for different tasks, while Apple is also said to be testing separate Siri voices for responses generated by external models rather than Apple’s own systems.

The move would expand Apple’s broader AI partnership strategy rather than replace existing integrations. ChatGPT already supports selected Apple Intelligence functions, and earlier reporting suggested Google Gemini could eventually power parts of Siri itself. The new framework appears aimed at turning Apple devices into a wider AI platform that supports multiple large language models rather than a single assistant stack.

Apple is expected to present further details during its Worldwide Developers Conference on 8 June 2026. If the reported changes materialise, they could significantly reshape how users interact with AI assistants by giving them more control over which models handle tasks such as search, writing, and image generation.

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