Author: fariehan
Nvidia is now in control of roughly 80% of the AI data center chip market and that dominance is forcing the world’s largest cloud providers to go back to the drawing board. In 2026, AWS, Microsoft Azure and Google Cloud are collectively planning to spend $660-690 billion on AI infrastructure and Nvidia is at the center of this budget. The company’s grip on AI silicon gives it a huge advantage over how hyperscalers allocate capital, architect platforms, and plan their next moves. As demand for AI workloads keeps surging, the ripple effects are reshaping cloud strategy across the board. How…
The AI arms race just got a lot more competitive and software developers are at the center of it. In 2026, Google DeepMind and OpenAI are locked in a fierce battle to build the most powerful coding AI tools, each releasing increasingly capable models at a pace that is hard to ignore. For developers, this rivalry is reshaping how code is written, debugged, and deployed. Furthermore, this is not just a performance race. It is a strategic land grab for developer loyalty, enterprise contracts, and the future of software engineering itself. How Google Deepmind and OpenAI are Targeting Developers Moreover,…
Google has always shaped the future of digital advertising and what the company is doing right now goes beyond its usual updates. It is building an entirely new advertising infrastructure where AI does all the work. AI tools will be used to generate the audio, write the content, place the ads and target the audience with just a prompt. For years, digital advertising was traditional with brands buying placements so users can see which will then in turn generate revenue. All that has changed with this new development. Artificial intelligence is now the engine driving how ads are made, placed…
Hyperscalers like Microsoft, Amazon, Google and other cloud service providers are building private energy systems to power their AI data centers because the increasing electricity demand is greater than what public grids can handle. Consequently, this marks a major shift in how the world’s biggest tech companies use energy by shifting from passive users to investing billions in building infrastructure for power generation. The Grid Can’t Keep Up With AI’s Hunger Global data center electricity demand is forecast to reach 1,000 terawatt-hours by 2026, more than double 2022 levels, according to the IEA. On top of that, U.S. data centers…
On February 18 2026, OpenAI and Crypto investment firm Paradigm launched a jointly launched EVMbench, an open-source benchmark that tests how well AI agents can detect, patch and exploit vulnerabilities in Ethereum-based smart contracts. The timing couldn’t be more perfect because smart contracts currently secure over $100 billion in open-source crypto assets. What is EVMbench and How Does it Test Smart Contract Security EVMbench draws on 120 curated vulnerabilities across 40 professional audits, most pulled from Code4rena, a platform where security researchers race to find bugs in live codebases. Until now, no standardized tool existed to measure AI performance in…
OpenAI has acquired Openclaw, an open-source AI agent framework that gained widespread popularity among developers. The CEO Sam Altman took to X (formerly Twitter) on the 15th of February to confirm the acquisition. The company announced that it has brought on Openclaw’s creator, Peter Steinberger “to drive the next generation of personal agents”. This move is the clearest signal yet that OpenAI is moving from AI chatbot systems towards autonomous AI agents. From Side Project to Silicon Valley Acquisition Openclaw has had its fair share of name changes. It started out as ClawdBot, then MoltBot, before settling on its current…
Venture capital has moved significantly from pure GenAI funding towards robotics and defense tech. In the second week of February alone, Approtonik, creators of humanoid robots, raised a $520 million extension that pushed its Series A past $935 million total. Throughout the week, defense tech, semiconductors and aerial robotics dominated the finding round and pure GenAI software was not included. The Numbers Tell The Story Defense tech had a groundbreaking run in 2025. According to PitchBook, the value of VC in the sector rose to a record of $49.1 billion last year from $27.2 billion in the previous year. Also,…
Bedrock Robotics closed a $270 million Series B funding round in early 2026, pushing its total funding past $350 million and its valuation to $1.75 billion. Backers include CapitalG, the Valor Atreides AI Fund, NVIDIA’s venture arm, and MIT, among others. For years, the construction industry struggled with a growing labor shortage and aging workforce. As a result, many investors saw automation as too complex and too risky. But with this latest funding, Bedrock’s approach has attracted serious capital and serious attention. How Bedrock Turns Existing Heavy Equipment Into Autonomous Machines Most robotics companies solve the labor problem by selling…
Abu Dhabi-based G42 has signed a framework agreement with FPT corporation and Viet Thai Group to build sovereign AI and cloud infrastructure across Vietnam and has backed it up with up to $1B in investments. Subsequently, this move places Southeast Asia at the center of a growing global race to secure artificial intelligence computing capacity as the demand continues to grow. By expanding into Vietnam, G42 aims to deliver localized AI services while strengthening digital sovereignty in one of Asia’s fastest growing markets. G24 Expands its AI Infrastructure Footprint in Southeast Asia The agreement focuses on building hyperscale data centers…
Cisco just launched a new AI networking chip to directly challenge rivals like Nvidia and Broadcom in the fast growing AI infrastructure market. This bold move highlights Cisco’s strategic move into high-performance silicon focused on the accelerating demand of artificial intelligence workloads. Cisco designed the new Silicon One G300 as a high speed chip capable of 102.4 terabytes per second (Tbps) of throughput specifically to meet the massive demands of modern AI workloads. Moreover, these specifications matter because AI workloads often lag because data is not reaching GPUs fast enough. Cisco says G300 helps reduce network delays and speeds up…