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EU proposes new Google search-data sharing measures under DMA

The European Commission has set out proposed measures that would require Google to share key search data with third-party providers under the Digital Markets Act (DMA), in a fresh step to open Europe’s online search market to greater competition. The move comes in the form of preliminary findings sent to Google, rather than a final decision, and is now subject to public consultation.

Under the proposal, Google would have to provide access to anonymised search data, including ranking, query, click, and view data, on fair, reasonable, and non-discriminatory terms. According to the Commission, the aim is to allow third-party search engines to improve their services and better challenge Google Search’s market position.

The proposed measures go beyond a general obligation to share data. They set out detailed conditions covering who should qualify for access, what data must be made available, how frequently it should be shared, how personal data should be anonymised, how pricing should be set, and how access procedures should work in practice. The consultation also explicitly includes companies offering online search services that incorporate AI chatbot functionality, showing that the case could shape competition not only in traditional search but also in AI-assisted search services.

The consultation is tied to Article 6(11) of the DMA, which requires gatekeepers operating online search engines to share certain anonymised data with other search engines under FRAND terms. The Commission says it opened proceedings against Alphabet in January 2026 to specify how Google should comply with that obligation in practice.

Brussels is now asking stakeholders to comment on whether the proposed framework would work in practice, whether the anonymised data would remain useful enough to help rivals improve their services, whether additional measures are needed, and whether the implementation timeline is realistic. The consultation opened on 16 April 2026 and will run until 1 May 2026, with the Commission expecting to adopt a final decision by 27 July 2026.

The case is significant because it shows the DMA moving from broad obligations to detailed implementation. Rather than debating only whether large platforms should share data, the Commission is now trying to define what meaningful access would look like in operational terms, including what must be handed over, on what conditions, and with what privacy safeguards. In that sense, the Google case may become an important test of how far the DMA can reshape competition in digital search markets and related AI services.

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Google expands AI partnerships to support digital transformation in Latin America

A series of initiatives aimed at supporting AI adoption across Latin America has been announced by Google, in partnership with the Inter-American Development Bank.

These measures focus on public sector capacity, digital infrastructure and policy development as governments seek to integrate AI into economic and administrative systems.

The initiatives include the release of a policy-oriented report outlining how AI could contribute to regional economic growth, alongside guidance on workforce development, infrastructure expansion and regulatory frameworks.

An approach that emphasises responsible adoption, with attention to balancing innovation with risk management.

A further component involves the creation of an AI training academy for public officials, designed to improve institutional capacity to manage and deploy AI technologies.

In parallel, funding support has been allocated to expand digital public infrastructure (DPI), including cross-border digital identity systems intended to improve service delivery and administrative efficiency.

The programme by Google reflects broader trends in international cooperation on digital transformation, where public and private actors collaborate to scale AI adoption while addressing structural gaps in skills, infrastructure and governance across emerging economies.

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EU proposes data sharing measures for Google under Digital Markets Act

The European Commission has issued preliminary findings proposing measures for Google under the Digital Markets Act, focusing on access to search engine data.

These measures aim to ensure that third-party services can compete more effectively in digital markets characterised by high concentration.

The proposal would require Google to provide access to key categories of search data, including ranking, query, click and view data, on fair, reasonable and non-discriminatory terms.

Eligible recipients may include competing search engines as well as AI-based services with search functionalities.

Additional provisions address how data should be shared, including frequency, technical access conditions and pricing parameters. The framework also includes safeguards for anonymisation, reflecting the need to balance competition objectives with data protection requirements.

The Commission has opened a public consultation to gather stakeholder input on the proposed measures.

A case that illustrates ongoing efforts to operationalise the Digital Markets Act by addressing structural imbalances in access to data within the platform economy.

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Google expands AI skills initiative to boost career mobility in the UK

Google has launched a nationwide initiative in the UK to improve access to AI skills and support career progression.

The programme, titled ‘AI Works for Britain’, seeks to address structural barriers that limit professional mobility despite widespread access to digital tools.

New research indicates that a significant proportion of the population feels unable to advance, citing gaps in skills, confidence and professional networks.

While a majority already use AI tools, only a minority report meaningful productivity gains, suggesting that effective utilisation remains uneven across the workforce.

An initiative by Google that focuses on practical upskilling through public training hubs, university partnerships and community outreach programmes.

These efforts aim to move users beyond basic interaction with AI tools toward more advanced applications that can enhance employability, efficiency and business development.

The programme in the UK aligns with broader efforts to position AI as a driver of economic inclusion rather than a source of inequality, with policymakers and industry stakeholders emphasising the importance of workforce readiness in an increasingly AI-driven economy.

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Google sets 2029 deadline for post-quantum cryptography migration

A transition to post-quantum cryptography by 2029 is being led by Google, aiming to secure digital systems against future quantum computing threats instead of relying on existing encryption standards.

The move reflects growing concern that advances in quantum hardware and algorithms could eventually undermine current cryptographic protections, particularly through attacks that store encrypted data today for decryption in the future.

Quantum computers are expected to challenge widely used encryption and digital signature systems, prompting the need for early transition strategies.

Google has updated its threat model to prioritise authentication services, recognising that digital signatures pose a critical vulnerability if not addressed before the arrival of quantum machines capable of cryptanalysis.

The company is encouraging broader industry action to accelerate migration efforts and reduce long-term security risks.

As part of its strategy, Google is integrating post-quantum cryptography into its products and services.

Android 17 will include quantum-resistant digital signature protection aligned with standards developed by the US’s National Institute of Standards and Technology. At the same time, support has already been introduced in Google Chrome and cloud platforms.

These measures aim to bring advanced security technologies directly to users instead of limiting them to experimental environments.

By setting a clear timeline, Google aims to instil urgency and direction across the wider technology sector.

The transition to post-quantum cryptography is expected to become a critical step in maintaining online security, ensuring that digital infrastructure remains resilient as quantum computing capabilities continue to evolve.

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Google responds to UK digital market rules and CMA proposals

Debate over proposed UK digital market rules is intensifying, with Google outlining its position and emphasising the need to balance competition with user experience and platform integrity. The company said it supports the objectives of the Competition and Markets Authority but warned that some proposals could introduce risks for users.

G o ogle argued that maintaining fair and relevant search results remains a priority, stating that its ranking systems are designed to prioritise quality rather than favour its own services. It cautioned that certain third-party proposals could expose its systems to manipulation, potentially weakening protections against spam and reducing the pace of product improvements.

The company also addressed user choice on Android devices, noting that existing options already allow users to select preferred services. It suggested that adding frequent mandatory choice screens could disrupt user experience, proposing instead a permanent settings-based option to change defaults without repeated prompts.

Regarding publisher relations, Google highlighted efforts to increase control over how content is used, particularly with generative AI features such as AI Overviews. It said new tools are being developed to allow publishers to opt out of specific AI functionalities while maintaining visibility in search results.

Google said it would continue engaging with UK regulators to shape rules that support users, publishers, and businesses, while ensuring that innovation and service quality are not compromised.

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Gemini and Search gain deeper personalisation tools

Google has expanded Personal Intelligence across AI Mode in Search, the Gemini app, and Gemini in Chrome for US users. Rollout follows early adoption, where users responded positively to more tailored and context-aware assistance.

Personal Intelligence connects data across services such as Gmail and Google Photos to deliver highly personalised responses. Queries no longer need full context, as the system uses past purchases, travel history, and preferences to deliver relevant suggestions.

Use cases range from customised shopping recommendations and technical troubleshooting to travel planning and itinerary creation. Suggestions adapt to user habits, including preferred brands, past bookings, and time constraints, delivering more precise results.

Privacy remains central to the rollout, with users retaining control over which apps are connected. Data from personal services is not directly used to train AI models, while limited interaction data helps improve performance over time.

Access is currently limited to personal Google accounts, excluding enterprise and education users.

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Google launches AI skills initiative to support Europe’s workforce transition

At the Future of Work Forum, Google introduced ‘AI Works for Europe’, a programme aimed at strengthening digital skills and supporting workforce adaptation to AI across the region.

Funding of $30 million will be directed through Google.org to expand training opportunities, alongside broader access to AI certification programmes designed to help individuals and businesses adopt new technologies in practical contexts.

A central focus involves preparing workers and students for labour market changes.

Partnerships with organisations such as INCO are supporting the development of targeted training programmes, particularly in sectors where demand for AI-related skills is increasing, including finance, logistics and marketing.

New educational pathways are also being introduced, including an expanded AI Professional Certificate available in multiple European languages. These initiatives aim to improve AI literacy and provide hands-on experience aligned with employer expectations.

Collaboration with local organisations and institutions remains a key element, reflecting a broader strategy to ensure access to training across different regions and communities.

Efforts to expand AI capabilities across Europe highlight the growing importance of skills development as AI becomes more integrated into economic activity.

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Google Earth AI supports disease forecasting and public health planning

Researchers are increasingly combining geospatial data with predictive modelling to anticipate health risks.

In that context, Google has introduced new capabilities within Google Earth AI designed to help public health experts forecast outbreaks and identify vulnerable communities.

The system integrates environmental information such as weather patterns, flooding and air quality with population mobility data and health records.

These insights allow researchers to analyse how environmental conditions influence the spread of diseases, including Dengue Fever and Cholera.

Several research initiatives are already testing the models. In collaboration with the World Health Organisation Regional Office for Africa, forecasting tools combining Google’s time-series models with geospatial data improved cholera prediction accuracy by more than 35 percent.

Academic researchers are also applying the technology to other diseases. Scientists at the University of Oxford have used Earth AI datasets to improve six-month dengue forecasts in Brazil, helping local authorities prepare preventative responses.

The technology is also being tested for chronic disease analysis. In Australia, partnerships with health organisations are exploring how geospatial models can identify regional health needs and support preventative care strategies.

Combining environmental intelligence with health data could enable public health systems to shift from reactive crisis management to earlier detection and prevention of disease outbreaks.

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Wiz joins Google Cloud in the company’s largest acquisition

Google has completed the largest acquisition in its history, finalising the $32 billion purchase of cloud security firm Wiz. The company confirmed that Wiz will join Google Cloud while continuing to operate under its existing brand and maintaining support for multiple cloud platforms.

Wiz has built its reputation as a cloud and AI security platform designed to monitor risks across different cloud environments. The company’s technology connects code, cloud infrastructure, and runtime operations into a single security context, allowing development and security teams to detect vulnerabilities earlier and respond to threats affecting cloud workloads.

Google Cloud leaders say the acquisition strengthens the company’s broader security strategy. Wiz will complement existing services such as Google Threat Intelligence, Google Security Operations and Mandiant Consulting, contributing to a unified security platform designed to protect cloud-native applications and enterprise infrastructure.

Both companies emphasise that Wiz will remain committed to a multicloud approach. Its products will continue to operate across platforms, including Amazon Web Services, Microsoft Azure and Oracle Cloud, reflecting the company’s existing model of providing visibility and security across competing cloud ecosystems.

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