Google Cloud urges changes to EU tech sovereignty plans

Google Cloud has urged EU policymakers to revise parts of the European Commission’s Tech Sovereignty Package, arguing that some proposed cloud sovereignty measures could unintentionally isolate the European digital market.

In a policy statement, Giorgia Abeltino, Head of Government Affairs and Public Policy for Google Cloud in EMEA, said Europe requires significant investment in digital infrastructure to strengthen competitiveness, security and technological sovereignty. She said the EU is considering how to expand its digital footprint across chips, cloud adoption, and AI data infrastructure.

Google Cloud said it supports the Commission’s emphasis on openness, partnerships and fair competition, particularly measures aimed at interoperability and reducing vendor lock-in. It welcomed measures on interoperability, efforts to address vendor lock-in, an open source strategy for the public sector, and faster data centre deployment.

However, the company said certain elements of the proposed Cloud and AI Development Act should be changed to avoid unintended market isolation. Google Cloud said trusted global partners should be able to continue supporting Europe’s security and scaling goals under an open framework.

The company said its vision of technological sovereignty is based on verifiable technical controls, customer choice and continued investment in European digital infrastructure. It pointed to its sovereign cloud services, including standard public cloud configurations with European data boundaries, independently operated regional cloud services, and air-gapped solutions for sensitive public-sector operations.

Google Cloud also highlighted partnerships with European companies, including S3NS in France; Thales, Schwarz Group, and T-Systems in Germany; PSN in Italy; Clarence in Luxembourg; and Telefónica in Spain. It said these partnerships support operational resilience and jurisdictional controls under existing national tech sovereignty frameworks.

The company said the S3NS offering in France has been qualified under SecNumCloud 3.2. It also said Clarence and S3NS, together with Mistral, offer services approved by the EU Directorate-General for Digital Services for use by EU institutions with sovereign cloud needs.

Google Cloud also raised concerns about the proposed Union Assurance Levels within the Cloud and AI Development Act. It said harmonising sovereignty criteria across Member States is useful, but argued that the proposed criteria could limit or exclude global providers regardless of the security safeguards they offer.

The company said EU rules should allow technical approaches to sovereign control rather than relying too heavily on geographic criteria. The company cited its Cloud External Key Manager as an example of a technical sovereignty mechanism that allows customers to retain control of encryption keys outside Google’s infrastructure.

Google Cloud also called for the Cloud and AI Development Act to follow a more balanced approach similar to the proposed Industrial Accelerator Act. The company said trusted non-EU partners should be able to operate as EU-origin under clear conditions, backed by trade rules and safeguards.

The company also backed the package’s goal of promoting interoperability and reducing vendor lock-in. It said tech sovereignty should increase user choice and argued for reforms allowing users to move software licences freely, ensuring fair pricing for legacy software, and guaranteeing that software runs equally well on any cloud platform.

Google Cloud said physical compute infrastructure is central to digital tech sovereignty. It welcomed the ambitions of Chips Act 2.0 and the proposed 30 billion investment in European semiconductor research and development, but said Europe also needs regulatory conditions that attract large-scale compute infrastructure investment.

The company said it operates 13 European cloud regions and has recently invested in Germany, Belgium, and Sweden. It welcomed proposed special project status for data infrastructure projects to streamline permitting, grid access, and power purchase agreements.

Google Cloud said fast-track permitting should prioritise highly sustainable infrastructure projects. It also called for national sustainability criteria to align with the upcoming EU-wide rating scheme and said acceleration zones should not artificially restrict where new data centres can be built.

The company said Europe has an opportunity to build a resilient, competitive and open digital future. It said global innovation and European values can be advanced together through open source software, sovereign cloud partnerships and collaboration with European policymakers and regional partners.

Why does it matter?

The debate highlights a central challenge in Europe’s digital policy agenda: how to strengthen technological sovereignty without undermining openness, competition and access to global innovation. As the EU seeks greater control over critical digital infrastructure, cloud services and AI capabilities, policymakers must decide whether sovereignty should be defined primarily by ownership and geography or by technical safeguards and operational control.

The outcome could have significant implications for the future European cloud and AI market. Rules governing sovereign cloud services, data infrastructure and assurance standards will influence investment decisions, public-sector procurement, competition among providers and Europe’s ability to develop advanced AI capabilities. The discussion also reflects broader tensions between strategic autonomy and international technology partnerships that are increasingly shaping digital policy worldwide.

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Swiss parliament weighs AI apps in media copyright bill

Swiss lawmakers want the government to examine whether AI applications should be covered by a media copyright bill that would require online services to compensate publishers for displaying extracts from newspaper articles.

The Swiss Senate unanimously referred the media copyright bill and related rights bill back to the federal government on Wednesday. The House of Representatives had already approved the request in March by 157 votes to 29, with two abstentions, making the decision final.

The media copyright bill aims to require online platforms, including search engines and social media services, to pay copyright fees for displaying extracts of journalistic content. Swiss lawmakers now want the government to consider how AI applications should be treated under the proposal.

The federal government has been asked to examine how AI is changing the way platforms and search engines operate and what those changes mean for the proposed legislation. The review could determine whether AI services that display or reuse extracts from news articles should also compensate publishers.

Current Swiss rules do not provide specific protection for snippets and thumbnails, including short text extracts or images produced as part of journalistic work. As a result, online services have so far not paid remuneration to media companies for using this type of content.

The renewed review reflects growing concern that AI tools could reshape how users access news and how journalistic material is reused online. It also expands an existing debate over search engines, social media platforms and publisher compensation to include AI-powered services.

Why does it matter?

The review reflects growing international concern about how AI systems use and display journalistic content. As AI-powered search tools, chatbots and assistants increasingly become gateways to information, policymakers are questioning whether existing copyright frameworks adequately compensate publishers whose content helps power these services.

The Swiss debate also highlights a broader challenge facing governments worldwide: balancing innovation in AI with the economic sustainability of journalism. Decisions on whether AI services should pay for snippets, summaries or other reused content could influence future relationships between publishers, digital platforms and AI developers.

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Google DeepMind launches robotics accelerator for European startups

Google DeepMind has launched a three-month robotics accelerator for early-stage startups across Europe, offering technical mentorship, product guidance and access to AI tools, including Gemini robotics models.

The first cohort includes 15 companies working on robotics and embodied AI applications in sectors such as manufacturing, logistics, construction, healthcare, waste sorting, marine robotics and industrial automation. The selected founders began the programme in London this week.

According to Google, the accelerator is intended to help startups integrate advanced AI capabilities into physical systems and turn robotics research into deployable products. Participants will receive support from Google DeepMind and Google experts, as well as access to technical resources and partner networks.

The selected companies are developing technologies ranging from robotic welding and construction systems to autonomous underwater robots, neurosurgical microrobots, humanoid systems, robotic sensing and industrial AI tools.

The programme reflects growing commercial interest in embodied AI, where advances in language, vision and action models are being applied to machines that operate in physical environments.

Why does it matter?

Robotics is becoming an important test case for how advanced AI moves from digital tools into physical systems. As foundation models are integrated into manufacturing, healthcare, logistics, construction and infrastructure, questions around safety, reliability, liability, labour impact and deployment standards will become more important. Google DeepMind’s accelerator is not a regulatory development, but it signals growing industry investment in Europe’s embodied AI ecosystem.

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Google highlights rising online scam threats

Google has warned that online scams remain a major global challenge, citing estimates that fraud losses could reach nearly $580 billion in 2025.

In its latest fraud and scams advisory, the company said phishing attacks are becoming more sophisticated, with criminals using adversary-in-the-middle techniques and QR code phishing, also known as quishing, to steal credentials and bypass security measures.

The advisory also highlighted risks linked to cryptocurrency investment scams, malicious finance applications and police impersonation schemes. According to Google, scammers are using AI, social engineering and trusted digital services to deceive users, obtain money and collect sensitive information.

Google said its Trust & Safety teams are using AI tools, predictive analytics and policy enforcement to detect and disrupt fraudulent activity across its services. The company also pointed to measures such as stronger protections for session cookies, enforcement against deceptive crypto ads, monitoring of post-installation app behaviour and developer identity verification for apps installed on certified Android devices.

The company urged users to be cautious of unsolicited communications, unrealistic investment promises, unexpected QR codes and requests for personal or financial information.

Why does it matter?

The advisory shows how online fraud is becoming a cross-platform governance problem rather than a narrow cybersecurity issue. Scams now rely on trusted cloud services, mobile apps, messaging platforms, crypto infrastructure and impersonation of public authorities. That creates pressure on major technology companies to strengthen detection, app accountability and policy enforcement, while raising broader questions about consumer protection, platform responsibility and digital trust.

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UK CMA targets AI search content use in new Google conduct requirements

The UK’s Competition and Markets Authority (CMA) has imposed a new conduct requirement on Google Search under the country’s digital markets competition regime. The measure is designed to give publishers greater control over how their content is used and to improve transparency for users.

Under the new requirement, publishers will be able to prevent their content from being used in Google’s AI-powered search features, including AI Overviews. The CMA said the measure is intended to strengthen publishers’ ability to negotiate content licensing and usage agreements with Google.

Google will also be required to provide clearer attribution for publisher content used in AI-generated search results through prominently visible links. Following consultation feedback, publishers will also be able to opt out of having their content used to fine-tune Google’s AI models.

The CMA said it will continue monitoring Google’s AI-related changes to search and may introduce additional measures if competition concerns persist. Google will have up to nine months to implement the requirements and must publish regular compliance reports as the rollout progresses in the UK.

Why does it matter?

The decision highlights growing regulatory scrutiny of how AI-powered search systems use third-party content. As search engines increasingly generate answers directly within search results, publishers have raised concerns about attribution, traffic losses and the use of their content for AI training.

The UK’s approach could influence broader debates about the relationship between AI platforms, publishers and competition policy, particularly as regulators seek to balance innovation with transparency and fair commercial practices.

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Google says AI Mode surpasses one billion monthly users

Google said its AI Mode feature has surpassed one billion monthly active users globally. The figures were published in a company blog post marking one year since the feature’s launch.

According to Google, AI Mode query volumes have more than doubled each quarter since launch. Google described AI Mode as combining traditional search functions with conversational AI interactions.

The company also reported increasing use of voice and image-based search features in the United States. Google said image-based searches and planning-related AI Mode queries have grown significantly in recent months.

The company also highlighted growth in exploratory and idea-oriented search queries. The update was released ahead of Google I/O 2026 and reflects Google’s broader focus on AI-integrated search experiences.

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Snap, YouTube, TikTok and Meta settle Kentucky school district lawsuit

At mid-May, Snap, YouTube and TikTok have reached a settlement in a lawsuit brought by the Breathitt County School District in Kentucky. The school district alleged that social media platforms contributed to learning disruption, mental health concerns, and additional financial pressures on schools.

Terms of the settlement have not been disclosed. Meta remained a defendant in the same litigation and was scheduled to proceed to trial on June 15th. However, on May 21st, the company also reached a settlement. The case is one of a broader series of lawsuits involving social media platforms and alleged harms affecting minors and schools.

This follows earlier related cases settled by Snap and TikTok. The companies have faced multiple lawsuits related to alleged harms associated with social media use. In a separate case, a jury awarded damages to a plaintiff in litigation involving Google and Meta. Meta has also recently been ordered to pay $375 million in a separate case brought by New Mexico’s attorney general.

Beyond seeking monetary awards of $60 millions, plaintiffs and state authorities have also called for changes to platform design and online safety measures affecting minors. Additional lawsuits involving social media platforms and youth safety issues remain ongoing in US courts.

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Singapore and Google strengthen collaboration on AI innovation and digital governance

Google and Singapore’s Ministry of Digital Development and Information have announced an expanded National AI Partnership designed to accelerate the deployment of frontier AI technologies across the country’s economy and public sector.

The initiative builds on earlier collaboration between Google and Singapore’s digital authorities and aims to support healthcare innovation, scientific research, workforce development, enterprise transformation, and AI governance. Officials said the partnership aligns with Singapore’s National AI Strategy and broader ambitions to position the country as a global AI hub.

A major focus of the collaboration involves healthcare and life sciences. Google DeepMind is exploring AI co-clinician systems with Singapore’s public healthcare sector, examining how AI agents could support doctors and patients throughout medical treatment and decision-making processes.

Google DeepMind will also collaborate with the National Research Foundation to train researchers on agentic AI systems designed to accelerate scientific discovery. Additional partnerships with the Agency for Science, Technology and Research will focus on AI-enabled research and secure cloud-based scientific analysis tools.

The agreement also expands AI deployment in education. Google and Singapore’s Ministry of Education plan to strengthen educator training programmes and integrate AI-powered teaching support tools across schools. Officials said the partnership aims to improve digital learning capabilities while supporting broader AI workforce readiness initiatives.

Singapore and Google additionally announced plans to collaborate on AI safety, governance, and cybersecurity frameworks. A joint initiative involving Cyber Security Agency of Singapore and other agencies is examining how AI agents interact with real-world digital systems and how governance rules should evolve around autonomous AI technologies.

Officials described the partnership as part of a wider effort to deploy frontier AI responsibly while supporting economic growth, public services, and digital transformation.

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Google explores AI-assisted scientific discovery through Gemini for Science

Google has introduced Gemini for Science, a collection of AI tools and experiments designed to support scientific research workflows. The initiative combines capabilities from systems including Co-Scientist, AlphaEvolve, Empirical Research Assistance, and NotebookLM.

According to Google, the AI-based tools are intended to support tasks such as hypothesis generation, literature analysis, and computational research.

Google said three experimental tools will initially be released through Google Labs, focusing on hypothesis generation, computational discovery and literature analysis. The company also announced Science Skills for Google Antigravity, integrating multiple life sciences databases and research tools.

Google said the programme is being developed in collaboration with more than 100 research institutions and scientific organisations. The company also highlighted research partnerships and conference collaborations linked to AI-supported scientific research.

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Google and UNICEF launch AI-focused education partnership

Google and UNICEF have launched a global partnership focused on AI-supported education initiatives and digital learning infrastructure.

The initiative, funded through Google.org, will initially focus on Brazil, India, Pakistan, and Kenya. According to the organisations, the programme will address areas including literacy, numeracy, teacher support, and digital access.

Google said the partnership aims to combine AI tools with UNICEF’s education programmes to support localised digital learning systems. The initiative includes teacher training, educational technology deployment, and AI-supported learning tools.

Several Google AI tools, including Gemini, NotebookLM, and ReadAlong, will support the initiative. UNICEF said the programme is intended to support digital skills, AI literacy, and the integration of AI tools into classrooms.

The organisations also highlighted goals related to digital inclusion and education access in regions facing infrastructure limitations.

UNICEF said annual reports will assess programme implementation and scalability.

Why does it matter?

Governments, international organisations, and technology companies are increasingly positioning AI as a major component of future education systems. Partnerships involving AI-driven learning tools may significantly influence digital literacy, educational access, workforce preparation, and long-term economic development.

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