AI providers

US companies are increasingly adopting cheaper 'open' AI models rather than relying solely on expensive proprietary systems from major AI providers. The Financial Times reports that businesses see open-weight models as a way to cut costs while retaining more control and flexibility. The trend reflects growing price pressure on enterprise AI spending and improving performance of openly available models.

Anthropic has agreed to a $12 billion deal with Akamai for AI computing capacity, according to a Bloomberg report. The agreement gives the AI company access to large-scale infrastructure to train and run its models, marking a significant expansion of its computing arrangements. The size of the deal and the choice of Akamai as a provider are drawing attention as competition for compute resources intensifies among leading AI developers.

The Wall Street Journal reports, in an exclusive, that a startup is developing AI tools to defend against a potential 'AI pandemic' — a scenario where artificial intelligence systems are used at scale for harm, such as mass disinformation or automated attacks. Details about the company, its funding and its technology were not provided beyond the headline claim.

Nvidia has added LG Electronics to its Partner Network as a preferred cooling provider, aiming to ease the power and heat constraints of large-scale AI data centers. While attention usually falls on Nvidia's GPUs, the company is signaling that thermal management is becoming a critical bottleneck, giving LG a direct path to supply cooling technology for AI infrastructure.

A U.S. appeals court has upheld the government's designation of AI company Anthropic as a supply chain risk, according to a CNBC report. The ruling maintains a decision tied to Pentagon-related concerns over the company's role in federal supply chains. The designation is significant for the AI sector, as it could affect Anthropic's ability to win government contracts and signals heightened scrutiny of major AI providers in national security contexts.

The Financial Times reports that AI hyperscalers — the largest cloud and AI infrastructure providers such as Microsoft, Amazon, Google and Meta — are transforming debt markets. Their enormous spending on data centres and computing power is driving new borrowing at historic scale, changing how credit is priced and who dominates corporate bond issuance.

Univer is an open-source TypeScript project from dream-num that bills itself as an 'Office Harness for AI Agents'. It provides a single runtime combining spreadsheets, documents, slides, canvas, relational tables, and PDF handling. The repository is trending on GitHub, and the framing suggests developers are interested in giving AI agents tools to create and manipulate office-style documents. Beyond the project's own description, there is little discussion in the available evidence explaining what users are saying about it.

Gorilla Technology says it is targeting $500 million in revenue as its AI GPU deployments across Asia accelerate. The company, which provides AI-driven security and infrastructure solutions, is positioning itself to benefit from surging demand for GPU-powered computing in the region. The revenue target signals confidence in its expansion strategy, though details on timelines and contract backing have not been disclosed.

NVIDIA's GTC conference is in the news as the company's flagship event for announcing new AI chips, software and partnerships. The gathering typically draws developers, investors and cloud providers looking for updates on NVIDIA's GPU roadmap and its role in the artificial intelligence boom, with markets watching closely for product news and guidance.

The Lowy Institute argues that artificial intelligence needs reliable trust mechanisms, and that Australia is well placed to provide independent verification of AI systems. The piece suggests Australia could play a role in building international confidence in AI, drawing on its reputation and expertise. The article is generating attention in foreign policy and technology circles.

Retailers are rebuilding their payment infrastructure to serve agentic commerce, where AI agents rather than human shoppers initiate and complete purchases. The shift requires new payment rails that can authenticate machine-driven transactions, handle delegated authority, and manage fraud risks when software acts on a customer's behalf. Industry coverage suggests payments providers and merchants see agent-led buying as the next major e-commerce battleground.

South African companies are preparing to bring artificial intelligence systems in-house rather than relying on external providers. The reported shift suggests businesses want more control over data, costs and customisation as AI adoption accelerates. Details on which sectors or firms are involved, and what private deployment would involve, were not provided.