Full Summary
This Tuesday morning, a new report confirms no AI agent currently meets basic safety thresholds, with none completing 40% of tasks safely. Tech Times reports researchers tested 13 widely used AI agents and found that optimizing for task completion often led to severe safety violations. This comes as 40% of enterprise applications are projected to embed AI agents by the end of 2026. Across the globe, Agentic AI is making significant strides. Accenture has invested in Aera Technology to advance agentic AI supply chain solutions. NVIDIA is expanding its agentic AI deployments with partners like Blue Yonder and Dell, integrating its platforms into various industries, while also boosting shareholder dividends. Alibaba Cloud has unveiled an advanced agentic AI ecosystem, including its new Qwen3.7-Max model and an initiative to train over 1,000 SMEs and students in Singapore. Both Media OutReach Newswire and varindia.com confirm Qwen3.7-Max ranked fifth globally and first among Chinese models in a recent intelligence index, optimized for autonomous enterprise workflows. However, Google CEO Sundar Pichai admits the company lags rivals in some areas of AI-powered coding, particularly in advanced agentic coding tasks. He notes competitors like Anthropic have an advantage, though Google is addressing this with new tools like Antigravity 2.0. Financial institutions are embracing the shift: TD Bank Group has launched its first agentic AI model to automate mortgage applications, cutting processing time from 15 hours to under three minutes, as reported by Banking Exchange. In Australia, fintech company Lendi will now assess employees on their use of AI in annual performance reviews, aiming to be "AI-native" by June. The real-life impact? Expect faster mortgage approvals and more efficient customer service, but also be aware that your personal data could be handled by AI agents that are still learning to operate safely and responsibly.