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Author: precious
I’m Precious Amusat, Phronews’ Content Writer. I conduct in-depth research and write on the latest developments in the tech industry, including trends in big tech, startups, cybersecurity, artificial intelligence and their global impacts. When I’m off the clock, you’ll find me cheering on women’s footy, curled up with a romance novel, or binge-watching crime thrillers.
The world’s data centers consumed approximately 415 terawatt-hours (TWh) of electricity in 2024, about 1.5% of global electricity use, and that number is on track to more than double by the end of this decade. According to the International Energy Agency’s (IEA) April 2025 report, global data center electricity demand is projected to reach 945 TWh by 2030, an amount roughly equal to Japan’s entire annual power consumption today. Artificial intelligence (AI) is the primary driver of this surge, and the pace at which it is growing is raising hard questions about whether existing power infrastructure can support the industry’s…
Alphabet, Amazon, Microsoft and Meta Plan $650 Billion AI Infrastructure Spending for 2026
Four of the largest technology companies in the world, Alphabet, Amazon, Meta, and Microsoft, are set to collectively spend approximately $650 billion on capital expenditures in 2026, with the bulk of that money going into data centers, AI chips, servers, and the power infrastructure needed to run them. The figure, first reported by Bloomberg and later confirmed by Bridgewater Associates in a letter to clients, represents a 60% increase from the roughly $410 billion the four companies spent in 2025, and marks the largest single-year capital spending commitment by any group of companies in at least a decade. What Each…
Nvidia recently announced a multiyear, multigenerational partnership that will see Meta deploy millions of Nvidia’s current and next-generation AI chips across its data centers. The deal covers Nvidia’s Blackwell and Rubin GPUs, Grace and Vera CPUs, and networking infrastructure, making it one of the most comprehensive hardware commitments Meta has made to a single vendor. Neither company disclosed a financial figure. The Details of the Meta-Nvidia Hardware Deal The scope of the agreement goes beyond chips alone. Meta will deploy millions of Nvidia Blackwell GPUs as well as the next-generation Rubin GPUs, which recently entered production. On the CPU side,…
Nvidia CEO Jensen Huang did not attend the India AI Impact Summit 2026 in New Delhi, which ran from February 16 to 20, after falling ill following three consecutive weeks of travel, the company said. His absence was confirmed before the event opened, with the company’s India communications agency MSL citing “unforeseen circumstances” in an email to media. Nvidia later clarified through its South Asia Managing Director Vishal Dhupar that Huang had caught a bug and was unwell. “Jensen has travelled for three straight weeks, he caught a bug, he is under the weather,” Dhupar said to a question on…
Nvidia has sold its entire remaining stake in ARM Holdings, according to a regulatory filing submitted to the U.S. Securities and Exchange Commission on Tuesday, February 18, 2026. The company sold roughly 1.1 million ARM shares worth approximately $140 million based on ARM’s closing price at the time of disclosure, ultimately bringing Nvidia’s stake to zero. From a $40 Billion Bid to Zero Shares The story behind this divestment goes back to 2020, when Nvidia moved to purchase ARM Holdings for $40 billion, a deal that, had it gone through, would have been one of the largest semiconductor acquisitions ever…
Anthropic released Claude Sonnet 4.6, describing it as “our most capable Sonnet model yet.” The model is now the default for free and paid Pro users across Anthropic’s Claude AI chatbot and Claude Cowork productivity tool, replacing Sonnet 4.5 across both platforms. The release comes just twelve days after Anthropic launched Claude Opus 4.6, its flagship model, highlighting the pace at which the company is pushing new releases as it competes with OpenAI, Meta, and Google. Flagship-Level Performance at a Lower Cost The headline claim Anthropic is making with Sonnet 4.6 is straightforward – it performs at near-Opus quality without…
Resolve AI has closed a $125 million Series A funding round led by Lightspeed Venture Partners, placing the company at a $1 billion valuation. Existing investors include Unusual Ventures, Artisanal Ventures, and A* participated, along with Greylock Partners, who led the startup’s $35 million seed round in late 2024. The raise brings Resolve AI’s total funding to more than $150 million. What Resolve AI Does Founded in 2024, Resolve AI’s platform monitors and integrates complex cloud environments such as AWS and Kubernetes, investigating production incidents, finding root causes, and recommending or automatically executing fixes. Instead of relying on static rules,…
U.S.-based Gather AI has closed a $40 million Series B funding round to expand its Physical artificial intelligence (AI) Platform, a system that uses autonomous drones and AI-powered cameras to give warehouse operators real-time visibility into their inventory. The round was led by Smith Point Capital Management, a VC firm founded by former Salesforce co-CEO Keith Block, and brings Gather AI’s total funding to $74 million since the company launched in 2017. What the Gather AI Platform Solves Gather AI’s core product sits at the intersection of computer vision, machine learning, and drone hardware. Rather than building specialized equipment from…
SentinelOne Warns Hackers are Targeting AI in Physical World Systems like Self-Driving Cars
The artificial intelligence (AI) systems powering self-driving cars and humanoid robots are becoming the next major target for hackers, SentinelOne CEO Tomer Weingarten has warned. Speaking to Axios last week, Weingarten said that while the cybersecurity industry remains focused on protecting AI models from known threats like data poisoning and prompt injections, a larger and more dangerous wave of attacks on physical AI systems is forming. What Weingarten Is Warning About Most current discussions around AI security focus on protecting large language models (LLMs) from prompt injections, where hidden instructions in text cause an AI to behave in unintended ways,…
Tesla has put an artificial intelligence (AI) training center into operation in China, a move the company says is designed to adapt its Full Self-Driving (FSD) technology to local road conditions, filling a gap that has held the system back since its China debut nearly a year ago. Tesla China Vice President Grace Tao confirmed the development in early February, telling Shanghai-based financial media outlet Cailian that the facility is now active and focused on building out local assisted-driving and AI capabilities. Tao said the center has sufficient computing power to support development of assisted-driving features, though she declined to…
