Samsung India has set two Guinness World Records with its India #WithGalaxy photography campaign, which invited people across the country to capture and…
Microsoft CEO Satya Nadella highlighted the rapid growth of the company’s Copilot AI products during the latest earnings call, showcasing rising adoption…
Imagine having a personal tutor available anytime, anywhere, that’s exactly what Google is bringing to India’s students. With its latest AI initiatives,…
Meta Platforms is gearing up to test premium subscription plans across its flagship apps, Instagram, Facebook, and WhatsApp. The idea is simple:…
WhatsApp has rolled out a new security feature called Strict Account Settings, aimed at giving users an extra layer of protection against…
Google has agreed to pay $68 million to settle a US class-action lawsuit accusing its voice assistant of recording private conversations without…
OpenAI’s latest language model, GPT‑5.2, has started using content from Grokipedia, an AI‑written encyclopedia created by Elon Musk’s company xAI. Unlike Wikipedia,…
Microsoft is continuing its push to modernise Windows 11 by upgrading two long-standing apps, Paint and Notepad, with new AI features and…
Snapchat has expanded its Family Center with new tools designed to help parents keep tabs on their teens’ app use, without ever…
Tesla and SpaceX CEO Elon Musk has said that people may not need to work for a living in the next 10…
The technology beat in 2026 has one dominant story running underneath almost everything else: artificial intelligence is being embedded into every major platform, operating system, and hardware product simultaneously. Whether that represents genuine transformation or an industry-wide feature arms race is a question worth asking — and this section asks it, story by story.
That doesn't mean every piece is an AI piece. Samsung's Galaxy Watch health features, Spotify's playlist changes, and LinkedIn's creator analytics are covered because they reflect real shifts in how people use technology every day. But the honest editorial observation is that AI is the context for most of what is happening in tech right now, and pretending otherwise would make the coverage less useful, not more.
The story that sets the conditions for everything else is the hardware race. Nvidia entering what it describes as a new phase of AI computing isn't just a product announcement — it's a signal about where the compute requirements for AI are heading, and who is positioned to supply them. COMPUTEX 2026 reinforced that framing, with the global AI infrastructure conversation dominating the opening of one of the industry's most significant annual showcases. These are the stories about the pipes and the processing power that make everything downstream possible.
Meta's AI Agents for business, Apple's iOS 27 Siri upgrade, and YouTube's dual AI rollout — podcast features and video labelling — represent three very different approaches to the same underlying technology. Meta is going after enterprise workflows. Apple is trying to make its long-underwhelming voice assistant finally competitive. YouTube's AI labelling is primarily a content trust and moderation tool, not a user feature. Grouping them all as "AI updates" flattens the distinction. This section tries to maintain it.
Google's Search Profiles for content creators and LinkedIn's expanded audience analytics are both responses to the same economic reality: the creator economy has become large enough that the major platforms need to compete for the professionals building on top of them. These tools matter less as product features and more as indicators of where platform power and creator leverage are shifting.
Samsung's Galaxy Watch health additions are part of a broader trend in wearables — the watch becoming less of a notification device and more of a continuous health monitoring tool. Coverage here focuses on what the features actually measure, how reliable the data is claimed to be, and what the competition looks like rather than the launch event itself.
AI developments across major platforms and hardware, consumer technology from Apple, Samsung, Google, and others, creator and professional tools from LinkedIn and Spotify, and the semiconductor and infrastructure stories — Nvidia, COMPUTEX — that underpin the broader AI expansion. Coverage spans product announcements, platform policy changes, and the larger industry trends those announcements reflect.
Features are reported for what they actually do and what they change for users, not for what the company's press release claims. Samsung's health additions are covered in the context of the wearables market and what existing alternatives offer. iOS 27's Siri changes are assessed against where Siri actually stands today, not against a theoretical benchmark.
Where the news warrants it. The Technology section's coverage is driven by developments with broad significance — major platform changes, hardware shifts, enterprise software decisions. Indian tech companies appear when the story is genuinely substantial, not as regional representation for its own sake.
Yes. The section is written for a reader who uses technology and wants to understand what is changing, not for a reader who needs to know the technical implementation. Platform decisions, hardware advances, and AI deployments are explained in terms of what changes for users and businesses — not in engineering specifications.
Sceptically. When a company announces a feature or a capability, the coverage looks at what is actually confirmed, what the competitive context is, and whether previous claims from the same company have held up. Spotify's playlist features are a product update; Nvidia's compute shift is an industry story. The difference in scale and significance shapes how each is reported.