Breaking AI & Tech News Analyzed

Uber confirmed on April 7, 2026 that it is broadening its AWS cloud contract to run additional ride‑sharing features on Amazon’s in‑house silicon. The company will increase usage of the ARM‑based Graviton server CPUs and begin a pilot of the Trainium3 AI chip, Amazon’s answer to Nvidia’s accelerators. Uber Expands AWS Contract to Include Graviton CPUs and Trainium3 AI Chip Expanded workload migration from Uber’s legacy data centers to AWS. Increased deployment of low‑power Graviton instances for core ride‑matching services. Launch of a controlled trial of the next‑gen Trainium3 AI accelerator for demand‑forecasting and routing algorithms. Financial Stakes and Chip Market Shifts Amazon’s AI chip business was described by CEO Andy Jassy as a "multibillion‑dollar" operation. Oracle’s earlier exit from Ampere yielded a $2.7 billion pre‑tax gain, underscoring the high‑value nature of ARM‑based silicon. Uber’s renewed spend with AWS is expected to offset portions of its prior multi‑year contracts with Google Cloud and Oracle Cloud Infrastructure. Strategic Blow to Google, Oracle and Nvidia The deal is less about a direct threat to Nvidia and more about Amazon flexing its silicon advantage against cloud rivals. By pulling a former Oracle‑backed ARM player (Ampere) into its ecosystem, AWS positions itself as the preferred partner for AI‑intensive workloads, challenging both Google and Oracle which have historically leaned on Nvidia GPUs. Future Outlook: Cloud Competition and AI Chip Landscape Expect more enterprise customers to evaluate ARM‑based CPUs and Amazon‑designed AI chips for cost‑efficiency. Google and Oracle may accelerate their own silicon roadmaps or deepen Nvidia ties to retain market share. Uber’s trial of Trainium3 could set a benchmark for AI‑driven ride‑hailing optimization, potentially prompting broader industry adoption.

Oracle, a US technology company with a market value of $420bn, has begun cutting thousands of jobs as it seeks to reassure investors that its bet on AI infrastructure will pay off. The company, which has a workforce of 162,000, has reportedly let go of around 10,000 people so far.The job cuts, which were announced via email, affect various roles including senior engineers, architects, operations leaders, program managers, and technical specialists. Oracle's decision to reduce its workforce comes as it steps up spending on datacentres, key infrastructure for developing and operating AI systems, in an effort to better compete with cloud rivals such as Alphabet and Amazon.Oracle's plans include a $300bn datacentre deal with OpenAI, the developer of ChatGPT. However, investors have grown concerned about the billions of dollars of expenditure attached to its plans, which includes raising $50bn in new debt. In a March filing, Oracle said it expected total costs tied to its 2026 restructuring plan to reach up to $2.1bn, largely owing to redundancies and related expenses.The job cuts are part of a broader trend in the tech industry, with over 70 tech companies cutting around 40,480 jobs so far this year, according to the tech redundancy site Layoffs.fyi. This trend is driven by companies reallocating resources towards artificial intelligence, heightening fears of AI-driven disruptions among workers.