AI agents

Visa is piloting an “Agentic Ready” program in Europe, exploring AI agents initiating purchases. This initiative aims to integrate AI into the payment infrastructure, enabling autonomous commerce where agents make and execute transactions on behalf of users. Banks like Commerzbank and DZ Bank are collaborating to ensure security, compliance, and risk management for this paradigm shift, potentially revolutionizing enterprise procurement and routine purchases.

NVIDIA introduces its Agent Toolkit, an open-source solution enabling safe enterprise deployment of autonomous AI agents. Featuring OpenShell for security and AI-Q for cost-optimized research, the toolkit allows agents to perceive, reason, and act within enterprise systems. This initiative aims to address industry concerns around data control and trust, fostering a future of coordinated, specialized AI workforces. Partnerships with industry leaders like Salesforce, Atlassian, and ServiceNow highlight broad adoption and integration.

Meta-acquired Manus has launched Manus Desktop, bringing its AI agent technology to personal laptops for local file and application interaction. This move competes with open-source agents like OpenClaw, which has gained significant traction. Manus Desktop offers advanced task execution, such as file analysis and app control, but raises privacy concerns which Manus addresses with explicit user permissions. Meta’s acquisition aims to enhance its AI assistants.

Chinese AI stocks surged Wednesday following NVIDIA CEO Jensen Huang’s strong endorsement of OpenClaw, an open-source AI agent framework he called “the next ChatGPT.” Companies like MiniMax and Zhipu, which utilize OpenClaw, saw significant gains. This reflects China’s growing AI market and its ambition to develop competitive large language models. Broader tech stocks also benefited from Huang’s optimistic market outlook.

Alibaba has launched Wukong, an enterprise AI agent tool managing multiple AI agents through a unified, secure interface. Wukong handles tasks like document editing, research, and meeting transcription, acting proactively beyond user prompts. Named after the Monkey King, it’s available as a desktop app and integrated with DingTalk, with future expansion to platforms like Slack and WeChat, and Alibaba’s e-commerce ecosystem. This launch coincides with Alibaba’s major restructuring and its focus on AI tokens.

Nvidia CEO Jensen Huang believes the market misunderstands AI’s impact on software. He argues AI agents will act as sophisticated users, boosting productivity with existing software tools rather than replacing them. This view contrasts with investor concerns about AI’s disruption. Nvidia’s strong sales forecast and financial results highlight robust AI hardware demand, even as some software stocks face declines amid bubble fears. Opinions remain divided on AI’s long-term implications for the software sector.

Telecommunication networks are evolving with AI agents for real-time traffic management and service optimization. Nokia and AWS have introduced a novel network slicing system, integrating AI agents to autonomously reallocate resources. Early adopters include du and Orange. This “agentic AI” approach, leveraging AWS’s Amazon Bedrock, aims to overcome the operational complexities hindering 5G network slicing adoption and meet enterprise demands for cloud-like agility. While in pilot phases, this marks a significant step towards autonomous connectivity, transitioning AI from analysis to operational control.

Alibaba has launched its Qwen3.5 large language model series, featuring enhanced reasoning and native multimodal capabilities. The open-weight version offers flexibility for developers, while a hosted version is available on Alibaba Cloud. With 397 billion parameters and support for 201 languages, Qwen3.5 aims to compete with global AI leaders and addresses the growing trend of AI agents capable of autonomous task execution, amidst intense domestic competition from companies like ByteDance and Zhipu AI.

Huawei is launching advanced AI agents globally, featuring a new “supernode” architecture for enterprise workloads and industry-specific Pangu models. Tencent Cloud is focusing on scenario-based AI solutions for international clients. While these Chinese tech giants are investing heavily, practical agentic AI applications are currently most prominent within China, integrated into platforms like DingTalk and WeCom for task automation. Demonstrating scalability and security will be key for wider international enterprise adoption.

Databricks secured $7 billion in funding at a $134 billion valuation, highlighting AI’s integration into business. Astonishingly, 80% of databases on their platform are now built by AI agents, not humans. This signifies AI’s advanced role in software creation, impacting development and the future of work. CEO Ali Ghodsi views this as a pivotal moment, with AI agents becoming key co-creators in enterprise infrastructure.