Sustainable development

Google pushes agentic AI worldwide with AI Mode rollout

Google has expanded its AI Mode service to 180 additional countries, extending advanced agentic capabilities to a global audience.

Previously available only in markets such as the US, UK and India, the service allows users to search for information and carry out tasks on their behalf. The update reflects Google’s ambition to move from simple answers to action-oriented assistance.

A key rollout feature is the restaurant booking tool for AI Ultra subscribers. Using natural language requests such as ”find a romantic Italian spot for two tonight,” the system can check availability, offer personalised suggestions and confirm reservations directly within search.

The feature relies on real-time data from partners like OpenTable and highlights how Google’s AI can execute tasks instead of simply presenting options.

Further tools are expected soon, including ticketing for events and appointment scheduling. These are powered by the Gemini models, which tailor recommendations based on user behaviour and allow group planning through shared responses.

While the services could reduce reliance on third-party apps in sectors such as travel and hospitality, they also raise concerns over data privacy, inclusivity and cultural differences in an English-only rollout.

The global expansion strengthens Google’s position against rivals like Microsoft and OpenAI, who are also pushing forward in agentic AI. The company sees subscription upgrades to AI Ultra as a way to offset slower advertising growth, while early reports suggest increased user engagement.

However, the long-term impact will depend on balancing innovation with ethical safeguards as Google works to deliver more multilingual and accessible features.

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Energy independence enables new models for data centre construction

Many data centre developers face delays due to grid constraints or unreliable utilities. To circumvent these challenges, they are embracing alternative power setups.

Popular options include solar arrays paired with battery storage, microgrid deployments, mobile gas generators, and even hydrogen fuel cells. These systems offer more control, robust uptime and faster deployment than waiting for utility upgrades.

Such energy independence also increases site flexibility. Operators can choose locations without worrying about grid strengthening or local permitting delays, enhancing both scalability and disaster resilience.

As demand for cloud and AI capacity grows, hybrid energy architectures are proving vital. They ensure continuity and avoid overtaxed grid infrastructure.

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Microsoft limits certain companies’ access to the SharePoint early warning system

Microsoft has limited certain Chinese companies’ access to its early warning system for cybersecurity vulnerabilities following suspicions about their involvement in recent SharePoint hacking attempts.

The decision restricts the sharing of proof-of-concept code, which mimics genuine malicious software. While valuable for cybersecurity professionals strengthening their systems, the code can also be misused by hackers.

The restrictions follow Microsoft’s observation of exploitation attempts targeting SharePoint servers in July. Concerns arose that a member of the Microsoft Active Protections Program may have repurposed early warnings for offensive activity.

Microsoft maintains that it regularly reviews participants and suspends those violating contracts, including prohibitions on participating in cyber attacks.

Beijing has denied involvement in the hacking, while Microsoft has refrained from disclosing which companies were affected or details of the ongoing investigation.

Analysts note that balancing collaboration with international security partners and preventing information misuse remains a key challenge for global cybersecurity programmes.

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New robotic system uses AI to analyse water quality

A new study in Robot Learning has introduced a robotic system that combines machine learning with decision-making to analyse water samples. The approach enables robots to detect, classify, and distinguish drinking water on Earth and potentially other planets.

Researchers used a hybrid method that merged the TOPSIS decision-making technique with a Random Forest Classifier trained on the Water Quality and Potability Dataset from Kaggle. By applying data balancing techniques, classification accuracy rose from 69% to 73%.

The robotic prototype includes thrusters, motors, solar power, sensors, and a robotic arm for sample collection. Water samples are tested in real time, with the onboard model classifying them as drinkable.

The system has the potential for rapid crisis response, sustainable water management, and planetary exploration, although challenges remain regarding sensor accuracy, data noise, and scalability. Researchers emphasise that further testing is necessary before real-world deployment.

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Fed urges banks to embrace blockchain innovation

Federal Reserve Vice Chair for Supervision Michelle Bowman has warned that banks must embrace blockchain technology or risk fading into irrelevance. At the Wyoming Blockchain Symposium on 19 August, she urged banks and regulators to drop caution and embrace innovation.

Bowman highlighted tokenisation as one of the most immediate applications, enabling assets to be transferred digitally without intermediaries or physical movement.

She explained that tokenised systems could cut operational delays, reduce risks, and expand access across large and smaller banks. Regulatory alignment, she added, could accelerate tokenisation from pilots to mainstream adoption.

Fraud prevention was also a key point of her remarks. Bowman said financial institutions face growing threats from scams and identity theft, but argued blockchain could help reduce fraud.

She called for regulators to ensure frameworks support adoption rather than hinder it, framing the technology as a chance for collaboration between the industry and the Fed.

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Indian firms accelerate growth through AI, Microsoft finds

Indian firms are accelerating the adoption of AI, with many using AI agents to enhance workforce capabilities rather than relying solely on traditional methods.

According to Microsoft’s 2025 Work Trend Index, 93% of leaders in India plan to extend AI integration across their organisations within the next 12 to 18 months.

Frontier firms in India are leading the charge, redesigning operations around collaboration between humans and AI agents instead of following conventional hierarchies.

Over half of leaders already deploy AI to automate workflows and business processes across entire teams, enabling faster and more agile decision-making.

Microsoft notes that AI is becoming a true thought partner, fuelling creativity, accelerating decisions, and redefining teamwork instead of merely supporting routine tasks. Leaders report that embedding AI into daily operations drives measurable improvements in productivity, innovation, and business outcomes.

The findings are part of a global survey of 31,000 participants across 31 countries, highlighting India’s role at the forefront of AI-driven organisational transformation rather than merely following international trends.

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Google Cloud boosts AI security with agentic defence tools

Google Cloud has unveiled a suite of security enhancements at its Security Summit 2025, focusing on protecting AI innovations and empowering cybersecurity teams with AI-driven defence tools.

VP and GM Jon Ramsey highlighted the growing need for specialised safeguards as enterprises deploy AI agents across complex environments.

Central to the announcements is the concept of an ‘agentic security operations centre,’ where AI agents coordinate actions to achieve shared security objectives. It represents a shift from reactive security approaches to proactive, agent-supported strategies.

Google’s platform integrates automated discovery, threat detection, and response mechanisms to streamline security operations and cover gaps in existing infrastructures.

Key innovations include extended protections for AI agents through Model Armour, covering Agentspace prompts and responses to mitigate prompt injection attacks, jailbreaking, and data leakage.

The Alert Investigation agent, available in preview, automates enrichment and analysis of security events while offering actionable recommendations, reducing manual effort and accelerating response times.

Integrating Mandiant threat intelligence feeds and Gemini AI strengthens detection and incident response across agent environments.

Additional tools, such as SecOps Labs and native SOAR dashboards, provide organisations with early access to AI-powered threat detection experiments and comprehensive security visualisation capabilities.

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Meta freezes hiring as AI costs spark investor concern

Meta has frozen hiring in its AI division, halting a spree that had drawn top researchers with lucrative offers. The company described the pause as basic organisational planning, aimed at building a more stable structure for its superintelligence ambitions.

The freeze, first reported by the Wall Street Journal, began last week and prevents employees in the unit from transferring to other teams. Its duration has not been communicated, and Meta declined to comment on the number of hires already made.

The decision follows growing tensions inside the newly created Superintelligence Labs, where long-serving researchers have voiced concerns over disparities in pay and recognition compared with recruits.

Alexandr Wang, who leads the division, recently told staff that superintelligence is approaching and that significant changes are necessary to prepare. His email outlined Meta’s most significant reorganisation of its AI efforts.

The pause also comes amid investor scrutiny, as analysts warn that heavy reliance on stock-based compensation to attract talent could fuel innovation or dilute shareholder value without precise results.

Despite these concerns, Meta’s stock has risen by about 28% since the start of the year, reflecting continued investor confidence in the company’s long-term prospects.

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Series K funding pushes Databricks valuation over $100bn

Databricks has secured a fresh funding round that pushes its valuation beyond $100bn, cementing its place among the world’s most valuable private tech firms. The Series K deal marks a sharp rise from the company’s $62bn figure in late 2024 and underscores investor confidence in its long-term AI strategy.

The new capital will accelerate Databricks’ global expansion, fuel acquisitions in the AI space, and support product innovation. Upcoming launches include Agent Bricks, a platform for enterprise-grade AI agents, and Lakebase, a new operational database that extends the company’s ecosystem.

Chief executive Ali Ghodsi said the round was oversubscribed, reflecting strong investor demand. He emphasised that businesses can leverage enterprise data to create secure AI apps and agents, noting that this momentum supports Databricks’ growth across 15,000 customers.

The company has also expanded its role in the broader AI ecosystem through partnerships with Microsoft, Google Cloud, Anthropic, SAP, and Palantir. Last year, it opened a European headquarters in London to cement the UK as a key market and strengthen ties with global enterprises.

Databricks has avoided confirming an IPO timeline, though Ghodsi told CNBC that investor appetite surged after fintech Figma’s listing. With Klarna now eyeing a return to New York, Databricks’ soaring valuation highlights how leading AI firms continue to attract capital even as market conditions shift.

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Google Pixel 10 could transform smartphones with advanced AI features

Google’s upcoming Pixel 10 smartphones are tipped to place AI at the centre of the user experience, with three new features expected to redefine how people use their devices.

While hardware upgrades are anticipated at the Made by Google event, much of the excitement revolves around the AI tools that may debut.

One feature, called Help Me Edit, is designed for Google Photos. Instead of spending time on manual edits, users could describe the change they want, such as altering the colour of a car, and the AI would adjust instantly.

Expanding on the Pixel 9’s generative tools, it promises far greater control and speed.

Another addition, Camera Coach, could offer real-time guidance on photography. Using Google’s Gemini AI, the phone may provide step-by-step advice on framing, lighting, and composition, acting as a digital photography tutor.

Finally, Pixel Sense is rumoured to be a proactive personal assistant that anticipates user needs. Learning patterns from apps such as Gmail and Calendar, it could deliver predictive suggestions and take actions across third-party services, bringing the smartphone closer to a truly adaptive companion.

These features suggest that Google is betting heavily on AI to give the Pixel 10 a competitive edge.

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