Claude’s new computer control capability marks a major shift in AI—from passive assistance to active execution. Discover how AI agents are transforming workflows, productivity, and the future of work.

OpenAI’s o3 model marks a major leap in AI reasoning, achieving 87.5% on the ARC-AGI benchmark and signaling a shift from chatbots to intelligent agents. As competition intensifies with DeepSeek and enterprise adoption of agentic AI grows, the race toward AGI is accelerating—raising critical questions around safety, regulation, and timelines.

A new research framework called the Agentic Control Center proposes using autonomous AI agents to continuously monitor and optimize data products. The system combines multi-agent collaboration, event-driven optimization, and human oversight to improve data quality and analytics infrastructure.

As agentic AI systems gain autonomy, governance is no longer optional. Deloitte’s latest guidelines explain how organizations can deploy AI safely, ensuring accountability, transparency, and operational control.

The UK Government has partnered with Anthropic to pilot a next-generation, agentic AI assistant on GOV.UK. Powered by Claude, the system goes beyond traditional chatbots to guide citizens through complex, multi-step government services—starting with employment support—while prioritising safety, privacy, and responsible AI deployment.

AI agents are transforming how businesses automate decisions and workflows—but without proper guardrails, they can introduce serious risks. This guide outlines eight practical principles for building AI agents responsibly, helping organizations balance innovation with trust, security, and accountability.

Shopify’s agentic AI transforms enterprise commerce by allowing AI agents to handle discovery, checkout, and operational workflows — expanding merchant reach and enhancing customer experiences.

As AI systems evolve into agentic models capable of long-running, multi-step workflows, memory—not compute—is becoming the biggest bottleneck. This article explores why traditional hardware falls short and how a new AI-specific memory tier is redefining scalable inference.