On World Quantum Day, NVIDIA released Ising, a family of open-source AI models designed to accelerate quantum computing by automating calibration (reducing it from days to hours) and improving error correction (2.5x faster, 3x more accurate than the current standard). Leading quantum labs including Fermilab, Harvard, and IQM are already adopting the models. This is a significant bridge between AI and quantum computing, two of the most consequential technology frontiers.
Anthropic's annualized revenue has crossed $30 billion, overtaking OpenAI's $25 billion for the first time — a milestone reached in roughly four months of growth from $9 billion ARR at end-2025. The surge is driven by enterprise adoption, with over 1,000 customers now spending more than $1 million annually on Claude. Unlike OpenAI's consumer-heavy mix, Anthropic's revenue is overwhelmingly enterprise, signalling a structural shift in the AI industry's centre of gravity.
Microsoft and Providence Health released GigaTIME, an open-source AI model trained on 40 million cancer cells that generates advanced immune cell imaging from standard $10 pathology slides, replacing analyses that normally cost $500+ per slide. Applied across 14,256 patients and 24 cancer types, the model uncovered over 1,200 statistically significant associations linking protein activations with clinical outcomes. It is now available on Hugging Face and Azure AI Foundry Labs.
The three leading US AI labs have begun sharing information through the Frontier Model Forum to clamp down on Chinese competitors extracting capabilities from cutting-edge American AI models. This coordinated effort marks a rare instance of direct collaboration among fierce rivals, driven by national security and intellectual property concerns around model distillation and replication techniques.
PwC's 2026 AI Performance Study finds that a small elite of companies generates 7.2 times more AI-driven revenue and efficiency gains than the average competitor. The differentiator is not deployment volume but strategy: top performers use AI for growth and business model reinvention rather than just cost-cutting. AI leaders are increasing autonomous decision-making at nearly 3x the rate of their peers.
In Mobley v. Workday, a US federal court granted conditional class certification in the first major AI hiring bias case, allowing ADEA claims to proceed against the HR software vendor. Plaintiffs allege Workday's AI screening algorithm systematically filtered out applicants over 40. The ruling tests whether an AI vendor performing delegated hiring functions can be held liable under federal anti-discrimination law — a potential precedent for the entire HR tech industry.
