AI is going to fully automate the work of everyone sitting at a desk in front of a computer whether that's law, accounting, or project management, within the next 12 to 18 months." — Mustafa Suleyman, CEO of Microsoft AI, Financial Times
Amazon’s lab trains AI agents to navigate 1960s mainframes without ripping them out—good news for small firms stuck on DOS.
Oracle's AI agents aim to automate supply chain workflows but face challenges in enterprise AI integration. Can they deliver on efficiency promises?
WPP and Adobe’s AI partnership streamlines marketing workflows with agentic AI, Firefly Foundry, and brand-safe automation.
A chatbot breach of Mexican government agencies reveals how AI is reshaping cyberwarfare, with attackers using Claude and ChatGPT to steal 150 GB of sensitive data.
Alibaba's Qwen3.5 model offers 397B parameters, 201‑language support and AI‑agent integration, claiming parity with US models in the AI arms race.
OpenClaw founder Peter Steinberger joins OpenAI as multi-agent AI faces security challenges and social network infiltration.
Anthropic's Opus 4.6 introduces agent teams and a 1M token context window, expanding AI capabilities for knowledge workers. Can it handle real-world workflows?
Blockit’s AI agents automate scheduling with direct calendar integration. Sequoia Capital’s $5M investment targets a $1Bn+ revenue business.
AI labs are paying $100/hour for professionals to generate training data for agents, using controlled environments to simulate real work scenarios.
Anthropic’s $100/month Claude Cowork AI agent offers file sorting and browser automation but faces security risks and task failures in real-world use.
Enterprise IT leaders are deploying orchestration tools like IBM Watsonx to manage AI agent workflows, reducing hallucinations and ticket exhaustion in loan approvals. Learn how automation stacks enhance security and efficiency.
