Google

Anthropic boosts cloud capacity with Google’s AI hardware

Anthropic has struck a multibillion-dollar deal with Google to expand its use of cloud computing and specialised AI chips. The agreement includes the purchase of up to one million Tensor Processing Units, Google’s custom hardware built to train and run large AI models.

The partnership will provide Anthropic with more than a gigawatt of additional computing power by late 2026. Executives said the move will support soaring demand for its Claude model family, which already serves over 300,000 business clients.

Anthropic, founded by former OpenAI employees, has quickly become a major player in generative AI. Backed by Amazon and valued at $183 billion, the company recently launched Claude Sonnet 4.5, praised for its coding and reasoning abilities.

Google continues to invest heavily in AI hardware to compete with Nvidia’s GPUs and rival US tech giants. Analysts said Anthropic’s expansion signals intensifying demand for computing power as companies race to lead the global AI revolution.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Google expands Earth AI for disaster response and environmental monitoring

The US tech giant, Google, has expanded access to Earth AI, a platform built on decades of geospatial modelling combined with Gemini’s advanced reasoning.

Enterprises, cities, and nonprofits can now rapidly analyse environmental and disaster-related data, enabling faster, informed decisions to protect communities.

During the 2025 California wildfires, Google’s AI helped alert millions and guide them to safety, showing the potential of Earth AI in crisis response.

A key feature, Geospatial Reasoning, allows the AI to connect multiple models (such as satellite imagery, population maps, and weather forecasts) to assess which communities and infrastructure are most at risk.

Instead of manual data analysis, organisations can now identify vulnerable areas and prioritise relief efforts in minutes.

Earth AI now includes tools to detect patterns in satellite imagery, such as drying rivers, harmful algae blooms, or vegetation encroachment on infrastructure. These insights support environmental monitoring and early warnings, letting authorities respond before disasters escalate.

The models are available on Google Cloud to Trusted Testers, allowing integration with external datasets for tailored analysis.

Several organisations are already leveraging Earth AI for the public good. WHO AFRO uses it to monitor cholera risks in the Democratic Republic of Congo, while Planet and Airbus analyse satellite imagery for deforestation and power line safety.

Bellwether uses Earth AI for hurricane prediction, enabling faster insurance claim processing and recovery. Google aims to make these tools broadly accessible to support global crisis management, public health, and environmental protection.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Oracle and Google Cloud launch multicloud database service in Australia

A new chapter in Australia’s cloud computing landscape has begun as Oracle and Google Cloud introduce Oracle Database@Google Cloud to local customers.

The service enables organisations to run Oracle Exadata Database Service on Dedicated Infrastructure hosted on Oracle Cloud Infrastructure within Google Cloud’s Melbourne data centre.

A collaboration that allows businesses to integrate Oracle’s enterprise database power with Google Cloud’s AI and analytics tools, improving decision-making, innovation and compliance with data residency requirements.

Through the Google Cloud Marketplace, Oracle and Google Cloud partners in Australia can now resell Oracle Database@Google Cloud, expanding access to multicloud solutions.

The launch marks growing demand for flexible, multicloud environments that blend high performance with AI-driven capabilities. Oracle’s Exadata Database Service on Dedicated Infrastructure and Oracle AI Database 26ai will help enterprises enhance analytics, AI productivity and application development.

These technologies deliver faster processing, secure data handling and new AI-driven search and development features.

Industry leaders such as Accenture say the partnership represents a significant step toward integrated, data-centric innovation.

With Oracle and Google Cloud combining their strengths, Australian organisations can modernise IT foundations, scale operations and accelerate digital transformation across industries.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

UK tightens grip on Apple and Google mobile power

Apple and Google have been designated with strategic market status over UK mobile platforms. The CMA’s decision covers operating systems, app stores, browsers, and browser engines. Tailored conduct rules and special abuse oversight can now be imposed.

Regulators say entrenched power across iOS and Android risks limiting rivals and developers. The move is enabled by the UK’s DMCC framework and mirrors EU ambitions. Implementation will follow consultations on specific remedies for competition and consumer choice.

In Europe, gatekeeper rules already bite as Apple was fined €500 million over anti-steering. Alphabet faces preliminary findings over Play Store and search preferencing under the DMA. Further penalties could follow if non-compliance persists.

Both companies criticised the UK move, warning of harmed innovation and user experience. Google called the decision disappointing and disproportionate, while Apple attacked EU-style rules. The CMA also recently gave Google’s search and ads businesses SMS status.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Cloudflare calls for UK action on Google’s AI crawlers

Cloudflare’s chief executive Matthew Prince has urged the UK regulator to curb Google’s AI practices. He met with the Competition and Markets Authority (CMA) in London to argue that Google’s bundled crawlers give it excessive power.

Prince said Google uses the same web crawler to gather data for both search and AI products. Blocking the crawler, he added, can also disrupt advertising systems, leaving websites financially exposed.

Cloudflare, which supplies network services to most major AI companies, has proposed separating Google’s AI and search crawlers. Prince believes the change would create fairer access to online content for smaller AI developers.

He also provided data to the UK CMA showing why rivals cannot easily replicate Google’s infrastructure. Media groups have echoed his concerns, warning that Google’s dominance risks deepening inequalities across the AI ecosystem.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Australian students get 12 months of Google Gemini Pro at no cost

Google has launched a free twelve-month Gemini Pro plan for students in Australia aged eighteen and over, aiming to make AI-powered learning more accessible.

The offer includes the company’s most advanced tools and features designed to enhance study efficiency and critical thinking.

A key addition is Guided Learning mode, which acts as a personal AI coach. Instead of quick answers, it walks students through complex subjects step by step, encouraging a deeper understanding of concepts.

Gemini now also integrates diagrams, images and YouTube videos into responses to make lessons more visual and engaging.

Students can create flashcards, quizzes and study guides automatically from their own materials, helping them prepare for exams more effectively. The Gemini Pro account upgrade provides access to Gemini 2.5 Pro, Deep Research, NotebookLM, Veo 3 for short video creation, and Jules, an AI coding assistant.

With two terabytes of storage and the full suite of Google’s AI tools, the Gemini app aims to support Australian students in their studies and skill development throughout the academic year.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Veo 3.1 brings audio and control to AI filmmaking

Google DeepMind has unveiled Veo 3.1, the newest upgrade to its video generation model, bringing more artistic freedom, realism and sound integration to its AI filmmaking tool, Flow.

The update gives creators advanced scene control and introduces generated audio across existing features like ‘Ingredients to Video’, ‘Frames to Video’ and ‘Extend’.

Users can now fine-tune visuals by combining multiple reference images, seamlessly link frames into longer clips, and edit scenes with new insert and removal tools that handle shadows and lighting automatically.

Flow’s new precision tools mark a significant step toward cinematic-level storytelling powered by AI.

Veo 3.1 is also accessible through the Gemini API, Vertex AI and the Gemini app, broadening its availability to developers and enterprises alike.

These enhancements signal Google’s ongoing ambition to push the boundaries of generative video technology for creative and professional applications.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Google and Salesforce deepen AI partnership across Agentforce 360 and Gemini Enterprise

Salesforce and Google have expanded their long-term partnership, introducing new integrations between Salesforce’s Agentforce 360 platform and Google’s Gemini Enterprise. The collaboration aims to enhance productivity and build a new foundation for intelligent, connected business operations.

Through the expansion, Gemini models now power Salesforce’s Atlas Reasoning Engine, combining multimodal intelligence with hybrid reasoning to improve how AI agents handle complex, multistep enterprise tasks.

These integrations also extend across Google Workspace, bringing Agentforce 360 capabilities directly into Gmail, Meet, Docs, Sheets and Drive for sales, service and IT teams.

Salesforce highlights that fine-tuned Gemini models outperform competing LLMs on key CRM benchmarks, enabling businesses to automate workflows more reliably and consistently.

The companies also reaffirm their commitment to open standards like Model Context Protocol and Agent2Agent, allowing multi-agent collaboration and interoperability across enterprise systems.

A partnership that further integrates Gemini Enterprise with Slack’s real-time search API, enabling users to draw insights directly from organisational data within conversations.

Both companies stress that these advances mark a major step toward an ‘Agentic Enterprise’, where AI systems work alongside people to drive innovation, improve service quality and streamline decision-making.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Scaling a cell ‘language’ model yields new immunotherapy leads

Yale University and Google unveiled Cell2Sentence-Scale 27B, a 27-billion-parameter model built on Gemma to decode the ‘language’ of cells. The system generated a novel hypothesis about cancer cell behaviour, and CEO Sundar Pichai called it ‘an exciting milestone’ for AI in science.

The work targets a core problem in immunotherapy: many tumours are ‘cold’ and evade immune detection. Making them visible requires boosting antigen presentation. C2S-Scale sought a ‘conditional amplifier’ drug that boosts signals only in immune-context-positive settings.

Smaller models lacked the reasoning to solve the problem, but scaling to 27B parameters unlocked the capability. The team then simulated 4,000 drugs across patient samples. The model flagged context-specific boosters of antigen presentation, with 10–30% already known and the rest entirely novel.

Researchers emphasise that conditional amplification aims to raise immune signals only where key proteins are present. That could reduce off-target effects and make ‘cold’ tumours discoverable. The result hints at AI-guided routes to more precise cancer therapies.

Google has released C2S-Scale 27B on GitHub and Hugging Face for the community to explore. The approach blends large-scale language modelling with cell biology, signalling a new toolkit for hypothesis generation, drug prioritisation, and patient-relevant testing.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Google and World Bank join forces to build AI-driven public infrastructure

Google and the World Bank Group have announced a partnership to develop AI-powered digital infrastructure for emerging markets. The collaboration aims to accelerate digital transformation by deploying Open Network Stacks that make essential public services more accessible.

The initiative combines Google Cloud’s Gemini AI models with the World Bank Group’s development expertise to help governments build interoperable networks in key areas such as healthcare, agriculture and education. Citizens will be able to access these services in over 40 languages, even on basic devices.

A successful pilot project in India’s Uttar Pradesh demonstrated how AI can improve livelihoods, with smallholder farmers increasing profitability through digital tools.

To support long-term growth, Google.org is funding a new nonprofit, Networks for Humanity, which will build universal digital infrastructure, create regional innovation labs and test social impact applications globally.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!