Accenture’s Big Bet: Rolling Copilot Out to 743,000 Employees and What It Means for Enterprise AI

Accenture’s Big Bet: Rolling Copilot Out to 743,000 Employees and What It Means for Enterprise AI

Accenture is expanding its use of Microsoft’s Copilot 365 AI assistant across its entire global workforce—about 743,000 people—a move that marks one of the largest enterprise deployments of the tool to date. The companies did not disclose financial terms, but the scale of the rollout sends a clear signal: major consultancies are moving from pilot projects to firmwide adoption, betting

Google’s Big Bet: Up to $40 Billion Headed to Anthropic

Google’s Big Bet: Up to $40 Billion Headed to Anthropic

Google is preparing to invest a headline-grabbing sum in Anthropic — at least $10 billion, with the potential to rise to $40 billion if the startup meets certain performance milestones. The deal follows a recent $5 billion commitment from Amazon and collectively values Anthropic at roughly $350 billion. This funding round underscores how hyperscalers are using capital, cloud services, and

Anthropic’s Project Deal: Claude AI Agents Close 186 Deals and Reveal Market Asymmetries

Anthropic’s Project Deal: Claude AI Agents Close 186 Deals and Reveal Market Asymmetries

When Anthropic turned its San Francisco office into a live, classified marketplace in December 2025, it wasn’t testing a new website so much as an idea: could autonomous Claude AI agents not only list items but negotiate and close real, multi-turn deals with zero human intervention? The answer, in the company’s “Project Deal” experiment, was a clear yes — and

Anthropic’s Mythos and the New Era of AI-Accelerated Cyber Risk

Anthropic’s Mythos and the New Era of AI-Accelerated Cyber Risk

Anthropic’s new Mythos model has crystallized a fear many in security have quietly harbored: advanced, cyber-focused AI can find software flaws faster than people and, in some cases, generate the exact exploits to weaponize them. That capability promises major defensive benefits—accelerating the discovery and remediation of long-hidden vulnerabilities—but it also hands would-be attackers automated, scalable tools that could outpace the

Anthropic’s Claude Opus 4.7 Arrives in Amazon Bedrock — Smarter Coding, Vision, and 1M-Token Context

Anthropic’s Claude Opus 4.7 Arrives in Amazon Bedrock — Smarter Coding, Vision, and 1M-Token Context

Amazon Bedrock now offers Anthropic’s Claude Opus 4.7, a major upgrade aimed at production-grade workflows that demand stronger reasoning, longer context windows, and more reliable scaling. Opus 4.7 builds on the Opus family’s strengths and targets real-world use cases such as agentic coding, multi-step knowledge work, long-running tasks, and high-resolution visual understanding. Running on Bedrock’s next-generation inference engine, the model

Claude Opus 4.7: Anthropic’s Sharper, More Reliable Coding and Multimodal Model

Claude Opus 4.7: Anthropic’s Sharper, More Reliable Coding and Multimodal Model

Anthropic’s newest release, Claude Opus 4.7, is now generally available. Built as an incremental but meaningful upgrade over Opus 4.6, Opus 4.7 is positioned as a model that improves sustained reasoning, long-running workflows, and high-resolution vision. Anthropic emphasizes that while Opus 4.7 is not as broadly capable as their most advanced Mythos Preview model, it brings tangible gains for software