Software developers embrace AI at unprecedented levels with 90% now using artificial intelligence tools daily, spending two hours per day on AI-assisted coding while Google launches new enterprise framework to help organizations maximize AI impact despite lingering trust concerns among nearly one-third of users.
AI company Cohere raises additional $100 million funding, pushing its valuation to $7 billion while launching new Command A series enterprise models with vision, reasoning, and translation capabilities for secure deployment across global markets.
Oracle, OpenAI and SoftBank announce five new U.S. data centers for their $400 billion Stargate project, accelerating toward 10 gigawatts capacity despite MIT research showing only 5% of AI pilot programs achieve rapid revenue growth.
Google rolls out Search Live nationwide, allowing US users to have real-time AI conversations using voice commands and camera through a new 'Live' button in their mobile apps, instantly answering questions while providing relevant web links for tasks like cooking tutorials or device setup.
WebAssembly 3.0 launches with massive 16 exabyte memory support, garbage collection, and enhanced features for high-level programming languages like Java and Kotlin.
WhatsApp launches built-in text translation feature for iPhone and Android users, supporting multiple languages including English, Spanish, Hindi, Portuguese, Russian, and Arabic, allowing instant message translation in chats and groups by simply long-pressing messages.
Microsoft launches Windows AI Labs, a new pilot program that rapidly tests experimental AI features across Windows applications starting with Microsoft Paint, aiming to validate innovative AI capabilities through direct user feedback on usability and market demand.
NVIDIA unveils revolutionary Rubin CPX GPU platform delivering unprecedented 8 exaflops of AI performance and 100TB memory in a single rack, enabling million-token processing for advanced coding and video generation with 7.5x more power than current systems, launching late 2026.
AI companies face a massive $800 billion revenue shortfall by 2030 as computing costs skyrocket toward $2 trillion, with tech giants spending over $500 billion while firms like OpenAI bleed billions and global power demands threaten to outstrip supply capacity.
Stanford researchers coin 'workslop' to describe low-quality AI-generated content that 40% of workers now receive monthly, creating productivity drains as managers redo subpar projects and employees lose respect for colleagues submitting AI-generated work.