AI is beginning to reshape corporate strategy as organisations shift from isolated technology experiments to broader operational transformation.
According to OpenAI, businesses that treat AI as a collection of disconnected pilots risk missing the bigger structural change that the technology enables.
A new framework describes five value models through which AI can gradually reshape companies. The first stage focuses on workforce empowerment, where tools such as ChatGPT spread AI capabilities across teams and improve everyday productivity.
Once employees develop fluency, organisations can introduce AI-native distribution models that transform how customers discover products and interact with digital services.
More advanced stages involve specialised systems. Expert capability integrates AI into research, creative production, and domain-specific analysis, allowing professionals to explore a wider range of ideas and experiments.
Meanwhile, systems and dependency management introduce AI tools capable of safely updating interconnected digital environments, including codebases, documentation, and operational processes.
The final stage involves full process re-engineering through autonomous agents. In such environments, AI systems coordinate complex workflows across departments while maintaining governance, accountability, and auditability.
Organisations that successfully progress through these stages may eventually redesign their business models rather than merely improving efficiency within existing structures.
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Governments across the world are increasingly treating AI as a strategic capability that shapes economic development, public services and national security. Momentum behind the idea of ‘sovereign AI’ is growing as countries reassess who controls the chips, cloud infrastructure, data and models powering modern technology.
Complete control over the entire AI stack remains unrealistic for most economies because of the enormous financial and technological costs involved. Global infrastructure continues to rely heavily on US technology firms, which still operate a large share of data centres and AI systems worldwide.
Policy makers are therefore exploring different approaches to sovereignty across the AI ecosystem rather than pursuing total independence. Strategies range from building domestic computing capacity to adapting global AI models for national languages, regulations and public services.
Several countries already illustrate different approaches. The EU is investing billions in AI infrastructure, Canada protects sensitive computing resources while using global models, and India prioritises applications that serve its multilingual population through public digital systems.
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Google has expanded access to the Canvas feature in Google Search’s AI Mode, making it available to all US users.
Canvas allows users to organise research, draft documents and develop small applications directly inside search.
Prompts can generate code, transform reports into webpages or quizzes, and produce audio summaries from uploaded material. The tool was previously introduced as part of experimental projects in Google Labs.
The feature builds on capabilities already available in Google Gemini and partly overlaps with NotebookLM, which supports research analysis and document processing.
Within Canvas, users can gather information from the web and the Google Knowledge Graph while refining projects through interaction with the Gemini model.
Competition is intensifying across AI development platforms. OpenAI and Anthropic offer similar tools, though their design approaches differ in how collaborative workspaces are triggered and used.
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Europe is being urged to take a leading role in developing sixth-generation wireless technology as global competition intensifies over the future of connectivity and AI.
Speaking at the Mobile World Congress in Barcelona, Wassim Chourbaji of Qualcomm argued that 6G will represent a technological revolution rather than a gradual improvement over existing networks.
The company expects early pre-commercial deployments to begin around 2028, with broader commercialisation targeted for 2029.
Next-generation wireless networks are expected to support physical AI systems capable of interacting with the real world, including robotics, smart glasses, connected vehicles, and advanced sensing technologies.
High-capacity uploads and faster processing between devices and data centres will allow AI systems to analyse video streams and real-time data more efficiently.
Qualcomm has also launched a coalition aimed at accelerating 6G development with partners including Nokia, Ericsson, Amazon, Google and Microsoft.
Advocates argue that combining European industrial strengths with advanced wireless and AI technologies could allow the continent to secure a leading position in the next phase of global digital infrastructure.
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Google is accelerating Chrome’s release cycle rather than maintaining its long-standing four-week cadence.
From September, users on desktop and mobile platforms will receive new stable versions every two weeks, doubling the frequency of feature milestones across speed, stability and usability. Weekly security updates introduced in 2023 remain unchanged.
The faster pace comes as AI-driven browsers seek a foothold in a market long dominated by Chrome.
Products, such as ChatGPT Atlas and Perplexity’s Comet, embed agentic assistants directly into the browsing experience, automating tasks from summarising pages to scheduling meetings.
Chrome has responded with deeper Gemini integration, including the rollout of autonomous features across its interface.
Google maintains that the accelerated schedule reflects the needs of the evolving web platform, arguing that developers require quicker access to updated tools.
Yet the timing aligns with growing competitive pressure from AI-native browsers, prompting speculation that Chrome’s dominance can no longer be taken for granted.
The shift will begin with Chrome version 153 in beta and stable channels on 8 September 2026. Enterprise administrators and Chromebook users will continue to rely on the eight-week Extended Stable branch, which remains unchanged for organisations that need slower, controlled deployments.
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The European Commission is preparing more stringent requirements for ageing data centres rather than allowing legacy infrastructure to operate under looser rules.
A draft strategy tied to the EU’s tech sovereignty package signals that older sites will face higher efficiency expectations and stricter sustainability checks as part of an effort to modernise the digital backbone of the EU.
The proposal outlines minimum performance standards for new data centres by 2030, aiming to align the entire sector with the bloc’s climate and resilience goals. Officials want to reduce energy waste and improve monitoring across facilities that have long operated without uniform benchmarks.
The draft points to an expanded role for the Cloud and AI Development Act, which is expected to frame future obligations for cloud providers instead of relying on fragmented national measures.
Brussels sees consistent rules as essential for supporting secure cloud services, AI infrastructure and cross-border digital operations.
The strategy underscores that modernisation is central to the EU’s vision of tech sovereignty. Older centres would need upgrades to maintain compliance, ensuring that Europe’s digital infrastructure remains competitive, efficient and less dependent on external providers.
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Europe is building a federated cloud and AI infrastructure intended to reduce reliance on US and Chinese technology providers and avoid ongoing strategic vulnerability.
The project, known as EURO-3C, was announced in Barcelona by Telefónica and is backed by the European Commission. More than seventy organisations across telecommunications, technology and emerging companies have joined the effort.
Architects of the scheme argue that linking national infrastructures into a shared network of nodes offers a realistic path forward, particularly as Europe cannot easily create a hyperscale cloud provider from scratch.
The initiative follows a series of US cloud outages that exposed the risks of excessive dependence on external infrastructure and raised questions about sovereignty, resilience and long-term competitiveness.
Commission officials described the programme as a way to build a secure cross-border digital ecosystem that supports industries such as automotive, e-health, public administration and sovereign government cloud.
Telefónica stressed that agentic AI, capable of taking autonomous actions, will play a central role in enabling Europe to develop technology rather than import it.
The partners view the project as a foundation for a unified and independent digital environment that strengthens industrial supply chains and prepares European sectors for the next phase of cloud and AI adoption.
They present the initiative as a significant step toward reducing strategic exposure while stimulating domestic innovation.
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Deutsche Telekom is turning to satellite connectivity to address Europe’s persistent mobile coverage gaps, rather than relying solely on terrestrial networks.
The company announced a partnership with Starlink during the Mobile World Congress in Barcelona, arguing that non-terrestrial networks can help reach remote forests, mountains and islands that remain underserved despite broad coverage elsewhere.
A collaboration that aims to support direct-to-device satellite links by 2028, enabling future smartphones to connect to Starlink’s MSS spectrum without additional hardware.
Telecommunications leaders describe the plan as a step toward an ‘everywhere network’, extending reliable service to areas long constrained by topographical and conservation barriers. The partnership follows earlier joint work with SpaceX to eliminate dead zones.
Deutsche Telekom is also increasing its use of agentic AI, integrating autonomous network-enhancing systems intended to improve translation, search and service features across devices.
Executives say these capabilities work even on older phones, reducing dependence on apps and creating a more inclusive digital environment.
Although committed to European digital sovereignty, the company insists that global collaboration remains necessary for long-term competitiveness.
Leadership argues that precise regulation and controlled data environments aligned with European standards can balance international cooperation with privacy protection. They remain confident that European technology firms and start-ups will continue driving meaningful innovation across the sector.
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Google has outlined a plan to strengthen Chrome’s HTTPS security against future quantum-computing threats. Rather than expanding traditional X.509 certificate chains in Chrome with post-quantum cryptography, the company is developing a new model based on Merkle Tree Certificates (MTCs).
The proposal from the PLANTS working group seeks to modernise the web public key infrastructure. Under the MTC model, a Certification Authority signs a single ‘Tree Head’ covering many certificates. Browsers receive a lightweight proof instead of a full certificate chain.
Google said this structure reduces authentication data exchanged during TLS handshakes while supporting post-quantum algorithms. By decoupling cryptographic strength from certificate size, the approach seeks to preserve performance as stronger security standards are adopted.
The company is already testing MTCs with real internet traffic. Phase one involves feasibility studies with Cloudflare, while phase two, in early 2027, will invite selected Certificate Transparency log operators to support initial public deployment.
By the third quarter of 2027, Google plans to establish requirements for onboarding certificate authorities to the quantum-resistant Chrome Root Store, which exclusively supports MTCs. The company described the initiative as foundational to maintaining long-term web security resilience.
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The South Korean electronics company, Samsung, has completed a multi-cell test that brings its virtualised RAN software together with accelerated computing from NVIDIA.
A validation that took place in a realistic network environment confirms that the combined architecture is nearing commercial readiness as AI-native networks continue to evolve.
The company plans to highlight the achievement at Mobile World Congress 2026 as part of its broader push toward software-driven networks that use AI instead of fixed hardware optimisation.
Samsung will demonstrate an AI-based MIMO beamformer running on NVIDIA infrastructure, which offers operators higher throughput and improved spectral efficiency by extracting more value from existing spectrum.
NVIDIA and Samsung are also advancing a unified processor design that integrates CPU and GPU within a single chipset, enabling faster and more efficient data exchange.
Recently, Samsung integrated its vRAN software with the NVIDIA ARC Compact platform equipped with the Grace CPU and L4 GPU, taking another step toward commercial AI-RAN deployments.
The firm says that experience from large-scale vRAN rollouts and close collaboration with industry computing partners strengthens its position in delivering AI-powered network platforms for operators worldwide.
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