Top Tech News Today, August 27, 2026: Amazon, Apple, Google, Meta, Nvidia, OpenAI, Salesforce & More

It’s Thursday, August 27, 2026, and the AI boom is no longer theoretical. Nvidia just printed another record quarter and, if the reports hold, agreed to buy Hugging Face, the public square of open-source models, for nearly $13 billion. Hours later, investigators said a swarm of OpenAI agents had already broken into that same platform, while a ransomware crew was caught using an AI coding assistant to ransack real companies. The rest of the brief follows that split screen: Apple’s first foldable iPhone gets a date, ChatGPT turns on ads in India, Brussels starts asking frontier labs for paperwork, and airports, retailers, and developer supply chains take the kind of hits that used to be footnotes. The AI race is starting to look less like a software competition and more like an industrial buildout. Nvidia says sales could jump 70% as demand for AI infrastructure keeps climbing. Anthropic is locking up $45 billion worth of future compute. AWS plans to deploy another 2 million Nvidia GPUs. And Kioxia and Sandisk are preparing more than $31 billion in new memory investments in Japan. Put it all together and the message from today’s news is hard to miss: AI is no longer simply changing software. It is reshaping chips, data centers, cybersecurity, enterprise apps, consumer hardware, jobs, and the physical infrastructure underneath the global technology economy. Here are the top technology news stories shaping where it goes next. Technology News Today Nvidia Posts $96.2 Billion Quarter and Forecasts 70% AI Chip Growth as AI Infrastructure Spending Keeps Surging Nvidia delivered another record quarter and, more significantly, offered its first year-ahead growth forecast, projecting revenue will jump roughly 70% in its next fiscal year. The chipmaker reported $96.2 billion in quarterly revenue, while its data center business generated $89 billion, up 117% from a year earlier. Nvidia expects revenue of about $108 billion in the current quarter as hyperscalers, AI labs, governments, and enterprises continue building out computing capacity. The numbers also reveal the enormous industrial machinery now required to keep the AI boom running. Nvidia has committed as much as $160 billion toward memory supply, while rising memory costs are expected to pressure gross margins. The company is increasingly using its balance sheet to support AI infrastructure projects through investments, financing guarantees, and partnerships, raising questions about how intertwined Nvidia has become with its biggest customers. CEO Jensen Huang continues to argue that demand remains constrained more by supply than by customer appetite. If Nvidia’s forecast holds, the AI infrastructure cycle is moving into a scale few technology markets have previously reached. Why It Matters: Nvidia’s outlook suggests AI infrastructure spending is still accelerating despite growing concerns about costs, financing, and returns on massive data center investments. Source: Financial Times. Nvidia Agrees to Buy Hugging Face for $12.9 Billion in Landmark AI Deal Nvidia has agreed to acquire Hugging Face for $12.9 billion, according to a report from The Information cited by Reuters, turning one of the AI industry’s most important independent model platforms into part of the world’s dominant AI chip company. Hugging Face operates a widely used repository for AI models, datasets, and developer tools and has become a central distribution layer for open-source and open-weight artificial intelligence. Neither company had publicly confirmed the agreement when the report emerged. The reported price would represent an enormous step up from Hugging Face’s previous valuation. Nvidia participated in a $235 million funding round in 2023 that valued the startup at $4.5 billion, alongside investors including Google and Salesforce. Reuters said Hugging Face’s annualized revenue was recently reported at about $150 million, making the acquisition price especially notable. The deal would also extend Nvidia’s reach far beyond GPUs and networking into the software and model-distribution layer used by thousands of AI developers. For Nvidia, owning Hugging Face could give the company a strategic position wherever developers discover, test, distribute, and deploy models, even as OpenAI, Anthropic, Google, and others pursue more vertically integrated AI stacks. Why It Matters: Buying Hugging Face could give Nvidia control of a critical distribution hub for open AI models, pushing its influence deeper into the developer ecosystem beyond chips. Source: TechStartups via The Information, Reuters Google Launches Gemini 3.5 Transcribe AI Model for Real-Time Speech-to-Text Google has introduced Gemini 3.5 Transcribe, a new speech-to-text model built for real-time voice applications, transcription, and automated processing of recorded audio. Unlike conventional transcription systems that primarily convert speech into literal text, Gemini 3.5 Transcribe can remove filler words, recognize self-corrections, automatically format output, adapt to specialized vocabulary, identify multiple speakers, and generate word-level timestamps. Google says the system supports more than 85 languages and can stream transcription with sub-second latency. Google is making the model available to developers through the Gemini API and Google AI Studio, and it is already tied to voice features across parts of Google’s consumer ecosystem. Google reported average word-error rates of 4.0% for streaming workloads and 2.6% for non-streaming transcription in cited testing, though real-world accuracy will vary by language, accents, noise, microphone quality, and specialized terminology. The larger opportunity extends well beyond dictation. Speech is becoming an increasingly important interface for AI agents, call-center automation, meeting tools, accessibility software, customer support, and hands-free computing. Better transcription gives AI systems a more reliable foundation for interpreting what users say before reasoning or taking actions. Why It Matters: As AI shifts from text boxes toward voice-driven agents, accurate and low-latency speech recognition becomes a critical infrastructure layer rather than a standalone feature. Source: Ars Technica, with technical details from Google. Anthropic Strikes $45 Billion AI Compute Deal With Nscale Anthropic has agreed to spend $45 billion over six years to rent AI computing capacity from British infrastructure company Nscale, Bloomberg News reports. The agreement covers roughly 460 megawatts at Nscale’s West Virginia data center development and is expected to use Nvidia’s next-generation Vera Rubin systems as capacity comes online beginning in late 2027. The scale of the commitment underscores how aggressively frontier AI companies are locking down future computing capacity years before they expect to need it. The agreement adds another major infrastructure commitment to Anthropic’s growing compute portfolio. AI labs increasingly face a strategic problem that resembles energy-intensive industrial companies more than traditional software startups: future growth depends on securing land, electricity, chips, financing, and data center construction well in advance. Anthropic is trying to ensure that Claude and products such as Claude Code have enough capacity if demand continues climbing. The arrangement is also significant for Nscale, founded only in 2024, because it further establishes specialized AI infrastructure providers as major counterparts to hyperscalers such as Amazon, Microsoft, and Google. Compute access is becoming a defining competitive advantage in frontier AI. Why It Matters: Anthropic’s $45 billion commitment shows that the AI race is increasingly being fought through long-term control of electricity and computing infrastructure, not just model quality. Source: Bloomberg News. Ukraine Awards Elon Musk the Order of Freedom While Lobbying for Deeper Starlink Strikes President Volodymyr Zelenskyy conferred Ukraine’s