Apple Shareholder Lawsuit Targets AI Claims
Apple’s stock has fallen 25% since December. Wiped out $900 billion in value. Shareholders filed an Apple shareholder lawsuit alleging the company overstated the readiness of its AI features while continuing to promote them to investors. In the June 2024, WWDC keynote Apple announced “Apple Intelligence” would make Siri actually useful. Understanding context, handling complex requests, and executing advanced tasks….
The Great App Purge: What People Actually Deleted in 2025
Google removed 49,613 apps from the Play Store in May 2025 alone. Users manually deleted millions more. The Play Store catalog shrank from 3.4 million apps to 1.8 million by May. That is a 47% reduction. The Great App Purge on the Google Play Store reflected both platform enforcement and rising user exhaustion, driven by battery drain, storage bloat, and notification spam. …
AI Browsers are Quietly Changing How We Search and Work
For years, the browser has been the most familiar tool on our screens. Open a tab. Search for something. Click links. Switch between pages. Repeat. That rhythm barely changed, even as cloud apps and AI tools evolved around it. That is now starting to shift. AI browsers are emerging as a new layer between users and the web….
Starlink India Approval: Why Rural Connectivity Gaps Remain
India cleared Starlink for satellite internet operations in July. Despite this approval, around 630 million people across the country still lack reliable internet access. The Starlink India approval marks regulatory progress, but it does not address the scale of India’s rural connectivity gap. IN-SPACe’s clearance concluded a three-year licensing process, allowing SpaceX to operate 4,408 low-Earth-orbit satellites over India. While the…
Calm in the Chaos: Sabeesh on Crisis Leadership in Modern Tech
In conversation with Lieutenant Commander Sabeesh Harinarayanan (retd), Senior Technical Delivery Manager at the London Stock Exchange Group, on coordination, judgment, and decision-making under pressure. Crisis Leadership in Modern Tech: Modern technology rarely fails quietly. When systems go down, the real challenge is not just technical recovery but leadership under pressure. Crisis leadership in modern…
January Productivity Myths: Why New Year Work Resolutions Fail
Picture the Slack channel created on January 6th with the optimistic name #new-workflow-2025. Twelve people joined. Someone posted an enthusiastic “Let’s do this!” gif. By January 20th, the last message was a lone thumbs-up emoji. Today it sits there, archived but not deleted, a quiet reminder of good intentions. Every IT leader has a folder full of abandoned…
5 AI Tools That Delivered Top ROI in 2025
We spend $2 billion a year on AI and save about the same amount annually, JPMorgan CEO Jamie Dimon told Bloomberg in October 2025. Most banks won’t say this out loud. Dimon’s bluntness cuts through the noise. After years of experimental pilots that went nowhere, a handful of tools actually delivered. Walmart wiped out $55 million in inventory waste. Omega…
AIÂ Threat Detection: When Threats Look Operationally Normal
Most cybersecurity stories focus on moments of disruption. A sudden spike in traffic. A malicious payload. An alert that immediately demands attention. Modern attacks rarely present themselves that way. Today’s most effective breaches unfold quietly. They blend into routine activity, move gradually, and look operationally acceptable. This is precisely where AI threat detection faces its most significant limitations. AI excels at identifying change….
Cloud Migration Strategies in 2026 are No Longer IT-Led
A few years ago, cloud migration felt straightforward. If systems were slow or ageing, IT teams moved them to the cloud. If costs rose, optimisation came later. Most organisations believed scale would solve the problem. That confidence has faded. In 2026, cloud migration strategies are being rewritten, not because cloud failed, but because the people signing the…
Big Tech Hits Pause: Inside the AI Adoption Strategy Reset
For a while, the AI race looked straightforward. Build bigger models. Add more data centres. Hire faster than everyone else. The companies that moved quickest would pull ahead. That story no longer holds. Across Big Tech, the tone has shifted. Some companies are slowing visible rollouts. Others are reshuffling teams or quietly narrowing scope. A few are…