Key Internet developments

xAI plans $20 billion data centre investment in Mississippi

The US AI company, xAI, plans to establish a large-scale data centre in Southaven, Mississippi, representing an investment of more than $20 billion. The project is expected to create several hundred permanent jobs across DeSoto County.

xAI has acquired an existing facility that will be refurbished to support data centre operations, located near additional energy and computing infrastructure already linked to xAI.

Once operational, the Southaven site in the US is expected to expand the company’s overall computing capacity significantly.

State and local authorities approved incentive measures for the project, including tax exemptions available to certified data centres.

Officials indicated that the investment is expected to contribute to local tax revenues supporting public services and infrastructure, while operations are scheduled to begin in February 2026.

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Robotics industry sets out key trends for 2026

The global market for industrial robot installations has reached a record value of $16.7bn in 2025. The International Federation of Robotics expects further growth through technological change and labour pressures.

AI-driven autonomy is becoming central to robotics development, enabling machines to learn tasks and operate independently. Agentic AI combines analytical and generative models to improve decision-making in complex environments.

Robots are also becoming more versatile as IT and operational systems converge across factories and logistics. Humanoid robots are moving beyond prototypes, with reliability and efficiency now critical for industrial adoption.

Safety, cybersecurity and workforce acceptance remain key challenges for the sector. Industry leaders see robots as allies addressing labour shortages while governments expand skills and retraining programmes.

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CES 2026 showcases AI and robotics innovations

CES 2026 has already revealed a range of groundbreaking technologies, from AI-powered holograms to autonomous vehicles. The event highlights how AI and robotics are increasingly shaping both entertainment and everyday life.

Razer introduced an all-in-one anime waifu hologram for desktops, while ASUS showcased extended reality glasses that act as a 240Hz gaming monitor. LEGO unveiled a Smart Brick capable of lighting up, playing sounds, and detecting characters.

Robotics took centre stage, with Boston Dynamics revealing its next-generation Atlas robot integrated with Google DeepMind AI, signalling rapid progress in humanoid robotics.

NVIDIA announced Alpamayo, a reasoning AI for autonomous vehicles, while Lucid partnered with Uber and Nuro to showcase a robotaxi.

Health and lifestyle innovations were also prominent. Withings launched Body Scan 2, an at-home longevity station offering AI-powered insights on blood pressure and over 60 biomarkers. Gaming hardware included the 8BitDo FlipPad, a flip-style controller optimised for mobile gaming.

Samsung teased a slim 3D display that delivers depth without bulky hardware, signalling a new generation of immersive screens. Alongside it, a pen with three cameras showed advanced spatial tracking for precise motion capture and object scanning.

CES 2026 emphasises the blending of AI, robotics, and interactive devices, highlighting how technology is increasingly personal, intelligent, and integrated into everyday life.

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Global AI adoption reaches record levels in 2025

Global adoption of generative AI continued to rise in the second half of 2025, reaching 16.3 percent of the world’s population. Around one in six people now use AI tools for work, learning, and problem-solving, marking rapid progress for a technology still in its early years.

Adoption remains uneven, with the Global North growing nearly twice as fast as the Global South. Countries with early investments in digital infrastructure and AI policies, including the UAE, Singapore, and South Korea, lead the way.

South Korea saw the most significant gain, rising seven spots globally due to government initiatives, improved Korean-language models, and viral consumer trends.

The UAE maintains its lead, benefiting from years of foresight, including early AI strategy, dedicated ministries, and regulatory frameworks that foster trust and widespread usage.

Meanwhile, open-source platforms such as DeepSeek are expanding access in underserved markets, including Africa, China, and Iran, lowering financial and technical barriers for millions of new users.

While AI adoption grows globally, disparities persist. Policymakers and developers face the challenge of ensuring that the next wave of AI users benefits broader communities, narrowing divides rather than deepening them.

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Gmail enters the Gemini era with AI-powered inbox tools

Google is reshaping Gmail around its Gemini AI models, aiming to turn email into a proactive assistant for more than three billion users worldwide.

With inbox volumes continuing to rise, the focus shifts towards managing information flows instead of simply sending and receiving messages.

New AI Overviews allow Gmail to summarise long email threads and answer natural language questions directly from inbox content.

Users can retrieve details from past conversations without complex searches, while conversation summaries roll out globally at no cost, with advanced query features reserved for paid AI subscriptions.

Writing tools are also expanding, with Help Me Write, upgraded Suggested Replies, and Proofread features designed to speed up drafting while preserving individual tone and style.

Deeper personalisation is planned through connections with other Google services, enabling emails to reflect broader user context.

A redesigned AI Inbox further prioritises urgent messages and key tasks by analysing communication patterns and relationships.

Powered by Gemini 3, these features begin rolling out in the US in English, with additional languages and regions scheduled to follow during 2026.

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Netomi shows how to scale enterprise AI safely

Netomi has developed a blueprint for scaling enterprise AI, utilising GPT-4.1 for rapid tool use and GPT-5.2 for multi-step reasoning. The platform supports complex workflows, policy compliance, and heavy operational loads, serving clients such as United Airlines and DraftKings.

The company emphasises three core lessons. First, systems must handle real-world complexity, orchestrating multiple APIs, databases, and tools to maintain state and situational awareness across multi-step workflows.

Second, parallelised architectures ensure low latency even under extreme demand, keeping response times fast and reliable during spikes in activity.

Third, governance is embedded directly into the runtime, enforcing compliance, protecting sensitive data, and providing deterministic fallbacks when AI confidence is low.

Netomi demonstrates how agentic AI can be safely scaled, providing enterprises with a model for auditable, predictable, and resilient intelligent systems. These practices serve as a roadmap for organisations seeking to move AI from experimental tools to production-ready infrastructure.

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NVIDIA and Siemens build new industrial AI operating system

Siemens and NVIDIA have expanded their strategic partnership to build what they describe as an Industrial AI operating system.

The collaboration aims to embed AI-driven intelligence throughout the entire industrial lifecycle, from product design and engineering to manufacturing, operations and supply chains.

Siemens will contribute industrial AI expertise alongside hardware and software, while NVIDIA will provide AI infrastructure, simulation technologies and accelerated computing platforms.

The companies plan to develop fully AI-driven adaptive manufacturing sites, beginning in 2026 with Siemens’ electronics factory in Erlangen, Germany.

Digital twins will be used as active intelligence tools instead of static simulations, allowing factories to analyse performance in real time, test improvements virtually and convert successful adjustments directly into operational changes.

Both firms will also accelerate semiconductor design by combining Siemens’ EDA tools with NVIDIA’s GPU-accelerated computing and AI models. The goal is to shorten design cycles, improve manufacturing yields and support the development of advanced AI-enabled products.

The partnership also aims to create next-generation AI factories that optimise power, cooling, automation and infrastructure efficiency.

Siemens and NVIDIA intend to use the same technologies internally to improve their own operations before scaling them to customers. They argue the partnership will help industries adopt AI more rapidly and reliably, while supporting more resilient and sustainable manufacturing worldwide.

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Meta’s Threads tests basketball game inside chats

Threads is experimenting with gaming inside private chats, beginning with a simple basketball game that allows users to swipe to shoot hoops.

Meta confirmed that the game remains an internal prototype and is not available to the public, meaning there is no certainty it will launch. The feature was first uncovered by reverse engineer Alessandro Paluzzi, who frequently spots unreleased tools during development.

In-chat gaming could give Threads an advantage over rivals such as X and Bluesky, which do not currently offer built-in games. It may also position Threads as a competitor to Apple’s Messages, where users can already access chat-based games through third-party apps instead of relying on the platform alone.

Meta has already explored similar ideas inside Instagram DMs, including a hidden game that lets users keep an emoji bouncing on screen.

Threads continues to expand its feature set with Communities and disappearing posts, although the platform still trails X in US adoption despite reporting 400 million monthly users worldwide.

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Cloud and AI growth fuels EU push for greener data centres

Europe’s growing demand for cloud and AI services is driving a rapid expansion of data centres across the EU.

Policymakers now face the difficulty of supporting digital growth instead of undermining climate targets, yet reliable sustainability data remains scarce.

Operators are required to report on energy consumption, water usage, renewable sourcing and heat reuse, but only around one-third have submitted complete data so far.

Brussels plans to introduce a rating scheme from 2026 that grades data centres on environmental performance, potentially rewarding the most sustainable new facilities with faster approvals under the upcoming Cloud and AI Development Act.

Industry groups want the rules adjusted so operators using excess server heat to warm nearby homes are not penalised. Experts also argue that stronger auditing and stricter application of standards are essential so reported data becomes more transparent and credible.

Smaller data centres remain largely untracked even though they are often less efficient, while colocation facilities complicate oversight because customers manage their own servers. Idle machines also waste vast amounts of energy yet remain largely unmeasured.

Meanwhile, replacing old hardware may improve efficiency but comes with its own environmental cost.

Even if future centres run on cleaner power and reuse heat, the manufacturing footprint of the equipment inside them remains a major unanswered sustainability challenge.

Policymakers say better reporting is essential if the EU is to balance digital expansion with climate responsibility rather than allowing environmental blind spots to grow.

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Google showcases AI tool for visualising 2026 goals

An innovative approach has gained attention as Google shared a way to help users visualize their goals for 2026 using its Gemini AI platform.

In a post from the official Gemini account, users were invited to experiment with a prompt linked to Nano Banana Pro, turning future planning into a visual and shareable exercise.

The approach centres on a detailed image prompt that encourages users to create an illustrated vision board rather than a written list of resolutions.

By combining a knolling-style layout with hand-drawn aesthetics, notebook textures and playful annotations, the prompt aims to make goal-setting feel more personal and engaging.

Users are encouraged to customise the prompt by inserting their own aspirations, habits or milestones, allowing the AI to generate a tailored illustration. Cross-hatching, highlighter effects and handwritten notes give the images a deliberately imperfect, journal-like quality, despite being AI-generated.

The experiment reflects a broader trend of using generative AI for creative self-reflection rather than productivity alone. By framing goals as visual stories, Google is positioning Gemini as a tool that blends artistic expression with everyday planning.

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