E-commerce and trade

Meta wins antitrust case over monopoly claims

Meta has defeated a major antitrust challenge after a US federal judge ruled it does not currently hold monopoly power in social networking. The decision spares the company from being forced to separate Instagram and WhatsApp, which regulators had argued were acquired to suppress competition.

The judge found the Federal Trade Commission failed to prove Meta maintains present-day dominance, noting that the market has been reshaped by rivals such as TikTok. Meta argued it now faces intense competition across mobile platforms as user behaviour shifts rapidly.

FTC lawyers revisited internal emails linked to Meta’s past acquisitions, but the ruling emphasised that the case required proof of ongoing violations.

Analysts say the outcome contrasts sharply with recent decisions against Google in search and advertising, signalling mixed fortunes for large tech firms.

Industry observers note that Meta still faces substantial regulatory pressure, including upcoming US trials regarding children’s mental health and questions about its heavy investment in AI.

The company welcomed the ruling and stated that it intends to continue developing products within a competitive market framework.

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NVIDIA pushes forward with AI-ready data

Enterprises are facing growing pressure to prepare unstructured data for use in modern AI systems as organisations struggle to turn prototypes into production tools.

Around forty percent of AI projects advance beyond the pilot phase, largely due to limits in data quality and availability. Most organisational information now comes in unstructured form, ranging from emails to video files, which offers little coherence and places a heavy load on governance systems.

AI agents need secure, recent and reliable data instead of fragmented information scattered across multiple storage silos. Preparing such data demands extensive curation, metadata work, semantic chunking and the creation of vector embeddings.

Enterprises also struggle with the rising speed of data creation and the spread of duplicate copies, which increases both operational cost and security concerns.

An emerging approach by NVIDIA, known as the AI data platform, aims to address these challenges by embedding GPU acceleration directly into the data path. The platform prepares and indexes information in place, allowing enterprises to reduce data drift, strengthen governance and avoid unnecessary replication.

Any change to a source document is immediately reflected in the associated AI representations, improving accuracy and consistency for business applications.

NVIDIA is positioning its own AI Data Platform reference design as a next step for enterprise storage. The design combines RTX PRO 6000 Blackwell Server Edition GPUs, BlueField three DPUs and integrated AI processing pipelines.

Leading technology providers including Cisco, Dell Technologies, IBM, HPE, NetApp, Pure Storage and others have adopted the model as they prepare storage systems for broader use of generative AI in the enterprise sector.

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OpenAI and Intuit expand financial AI collaboration

Yesterday, OpenAI and Intuit announced a major strategic partnership aimed at reshaping how people manage their personal and business finances. The arrangement will allow Intuit apps to appear directly inside ChatGPT, enabling secure and personalised financial actions within a single environment.

An agreement that is worth more than one hundred million dollars and reinforces Intuit’s long-term push to strengthen its AI-driven expert platform.

Intuit will broaden its use of OpenAI’s most advanced models to support financial tasks across its products. Frontier models will help power AI agents that assist with tax preparation, cash flow forecasting, payroll management and wider financial planning.

Intuit will also continue using ChatGPT Enterprise internally so employees can work with greater speed and accuracy.

The partnership is expected to help consumers make more informed financial choices instead of relying on fragmented tools. Users will be able to explore suitable credit offers, receive clearer tax answers, estimate refunds and connect with tax specialists.

Businesses will gain tailored insights based on real time data that can improve cash flow, automate customer follow ups and support more effective outreach through email marketing.

Leaders from both companies argue that the collaboration will give people and firms a meaningful financial advantage. They say greater personalisation, deeper data analysis and more effortless decision making will support stronger household finances and more resilient small enterprises.

The deal expands the growing community of OpenAI enterprise customers and strengthens Intuit’s position in global financial technology.

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Google enters a new frontier with Gemini 3

A new phase of its AI strategy has begun for Google with the release of Gemini 3, which arrives as the company’s most advanced model to date.

The new system prioritises deeper reasoning and more subtle multimodal understanding, enabling users to approach difficult ideas with greater clarity instead of relying on repetitive prompting. It marks a major step for Google’s long-term project to integrate stronger intelligence into products used by billions.

Gemini 3 Pro is already available in preview across the Gemini app, AI Mode in Search, AI Studio, Vertex AI and Google’s new development platform known as Antigravity.

A model that performs at the top of major benchmarks in reasoning, mathematics, tool use and multimodal comprehension, offering substantial improvements compared with Gemini 2.5 Pro.

Deep Think mode extends the model’s capabilities even further, reaching new records on demanding academic and AGI-oriented tests, although Google is delaying wider release until additional safety checks conclude.

Users can rely on Gemini 3 to learn complex topics, analyse handwritten material, decode long academic texts or translate lengthy videos into interactive guides instead of navigating separate tools.

Developers benefit from richer interactive interfaces, more autonomous coding agents and the ability to plan tasks over longer horizons.

Google Antigravity enhances this shift by giving agents direct control of the development environment, allowing them to plan, write and validate code independently while remaining under human supervision.

Google emphasises that Gemini 3 is its most extensively evaluated model, supported by independent audits and strengthened protections against manipulation. The system forms the foundation for Google’s next era of agentic, personalised AI and will soon expand with additional models in the Gemini 3 series.

The company expects the new generation to reshape how people learn, build and organise daily tasks instead of depending on fragmented digital services.

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UAE unveils first regulated AED-backed stablecoin

The UAE has taken a major step in its digital finance strategy as the Central Bank of the UAE approved Zand to launch Zand AED, the nation’s first regulated, multi-chain AED-backed stablecoin. The new asset places the dirham on global blockchain rails under the oversight of a fully licensed bank.

Zand AED is fully backed by reserves in regulated accounts, with real-time transparency through independently audited smart contracts and attestations.

Being available on multiple public blockchains enables fast cross-border settlement and simpler integration for developers, enterprises, and financial institutions.

Zand leadership described the launch as a significant advancement for the UAE’s position in global financial innovation. They highlighted that Zand AED bridges traditional and decentralised finance, enabling payments, tokenisation, and digital asset applications.

Analysts expect the global stablecoin market to expand to trillions, and Zand AED positions the UAE as a leading hub for regulated digital finance. The stablecoin offers a secure, scalable foundation for institutions and FinTechs in a leading global financial ecosystem.

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EU examines Amazon and Microsoft influence in cloud services

European regulators have launched three market investigations into cloud computing amid growing concerns about sector concentration.

The European Commission will assess whether Amazon Web Services and Microsoft Azure should be designated as gatekeepers for their cloud services under the Digital Markets Act, despite not meeting the formal threshold criteria.

Officials argue that cloud infrastructure now underpins AI development and many digital services, so competition must remain open and fair.

A move that signals a broader shift in EU oversight of strategic technologies. Rather than focusing solely on size, investigators will examine whether the two providers act as unavoidable gateways between businesses and users.

They will analyse network effects, switching costs and the role of corporate structures that might deepen market dominance. If the inquiries confirm gatekeeper status, both companies will face the DMA’s full obligations and a six-month compliance period.

A parallel investigation will explore whether existing DMA rules adequately address cloud-specific risks that might limit competition. Regulators aim to clarify whether obstacles to interoperability, restricted access to data, tying of services and imbalanced contractual terms require updated obligations.

Insights gathered from industry, public bodies and civil society will feed into a final report within 18 months, potentially leading to changes via a delegated act.

EU officials underline that Europe’s competitiveness, technological resilience and future AI capacity rely on a fair cloud environment. They argue that a transparent and contestable market will strengthen Europe’s strategic autonomy and encourage innovation.

The inquiries will shape how digital platforms are regulated as cloud services become increasingly central to economic and social life.

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Cloudflare outage disrupts leading crypto platforms

Cloudflare experienced a significant network outage on Tuesday, which disrupted access to major cryptocurrency platforms, including Coinbase, Kraken, Etherscan, and several DeFi services, resulting in widespread ‘500 Internal Server Error’ messages.

The company acknowledged the issue as an internal service degradation across parts of its global network and began rolling out a fix. However, users continued to face elevated error rates during the process.

Major Bitcoin and Ethereum platforms, as well as Aave, DeFiLlama, and several blockchain explorers, were impacted. The disruption spread beyond crypto, affecting several major Web2 platforms, while services like BlueSky and Reddit stayed fully operational.

Cloudflare shares dropped 3.5% in pre-market trading as the company investigated whether scheduled maintenance at specific data centres played any role.

The incident marks the third significant Cloudflare disruption affecting crypto platforms since 2019, highlighting the industry’s ongoing reliance on centralised infrastructure providers despite its focus on decentralisation.

Industry experts pointed to recent outages from Cloudflare and Amazon Web Services as evidence that critical digital services cannot rely solely on a single vendor for reliability. Kraken restored access ahead of many peers, while Cloudflare stated that the issue was resolved and would continue to monitor for full stability.

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AI energy demand strains electrical grids

Microsoft CEO Satya Nadella recently delivered a key insight, stating that the biggest hurdle to deploying new AI solutions is now electrical power, not chip supply. The massive energy requirements for running large language models (LLMs) have created a critical bottleneck for major cloud providers.

Nadella specified that Microsoft currently has a ‘bunch of chips sitting in inventory’ that cannot be plugged in and utilised. The problem is a lack of ‘warm shells’, meaning data centre buildings that are fully equipped with the necessary power and cooling capacity.

The escalating power requirements of AI infrastructure are placing extreme pressure on utility grids and capacity. Projections from the Lawrence Berkeley National Laboratory indicate that US data centres could consume up to 12 percent of the nation’s total electricity by 2028.

The disclosure should serve as a warning to investors, urging them to evaluate the infrastructure challenges alongside AI’s technological promise. This energy limitation could create a temporary drag on the sector, potentially slowing the massive projected returns on the $5 trillion investment.

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Old laws now target modern tracking technology

Class-action privacy litigation continues to grow in frequency, repurposing older laws to address modern data tracking technologies. Recent high-profile lawsuits have applied the California Invasion of Privacy Act and the Video Privacy Protection Act.

A unanimous jury verdict recently found Meta Platforms violated CIPA Section 632 (which is now under appeal) by eavesdropping on users’ confidential communications without consent. The court ruled that Meta intentionally used its SDK within a sexual health app, Flo, to intercept sensitive real-time user inputs.

That judgement suggests an electronic device under the statute need not be physical, with a user’s phone qualifying as the requisite device. The legal success in these cases highlights a significant, rising risk for all companies utilising tracking pixels and software development kits (SDKs).

Separately, the VPPA has found new power against tracking pixels in the case of Jancik v. WebMD concerning video-viewing data. The court held that a consumer need not pay for a video service but can subscribe by simply exchanging their email address for a newsletter.

Companies must ensure their privacy policies clearly disclose all such tracking conduct to obtain explicit, valid consent. The courts are taking real-time data interception seriously, noting intentionality may be implied when a firm fails to stem the flow of sensitive personally identifiable information.

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Cloudflare buys AI platform Replicate

Cloudflare has agreed to purchase Replicate, a platform simplifying the deployment and running of AI models. The technology aims to cut down on GPU hardware and infrastructure needs typically required for complex AI.

The acquisition will integrate Replicate’s extensive library of over 50,000 AI models into the Cloudflare platform. Developers can then access and deploy any AI model globally using just a single line of code for rapid implementation.

Matthew Prince, Cloudflare’s chief executive, stated the acquisition will make his company the ‘most seamless, all-in-one shop for AI development’. The move abstracts away infrastructure complexities so developers can focus only on delivering amazing products.

Replicate had previously raised $40m in venture funding from prominent investors in the US. Integrating Replicate’s community and models with Cloudflare’s global network will create a singular platform for building tomorrow’s next big AI applications.

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