AI agents

Agentic AI promises to unlock generative AI’s potential, addressing the current disconnect between adoption and bottom-line impact. AI agent orchestration is emerging as crucial, with platforms like BMC’s Control-M evolving to manage autonomous agent deployments across diverse systems. BMC envisions Control-M as an “orchestrator of orchestrators,” connecting various tools and facilitating AI agent coordination. As companies like Salesforce develop “digital labor platforms,” demand for robust orchestration layers is growing. Effective orchestration is vital for operationalizing AI, mitigating risks, and ensuring compliance, thereby maximizing business outcomes and ROI.

GPTBots.ai, Aurora Mobile’s enterprise AI platform, partnered with the Hong Kong Productivity Council (HKPC) to host a course on AI Agents for Hong Kong businesses. The course covered digital transformation and practical AI applications, featuring presentations and live demos on customer service, work order management, and operational inspections. GPTBots.ai serves over 60,000 enterprises globally with its no-code AI Agent platform, offering multi-model integration and enterprise-grade security. The company aims to expand AI adoption among Hong Kong businesses through continued collaboration with HKPC.

Bret Taylor’s AI startup, Sierra, achieved unicorn status with a $350 million funding round, valuing it at $10 billion. Sierra joins a select group of AI companies exceeding this valuation, fueled by investor enthusiasm. Founded in 2023, Sierra focuses on AI agents for customer service, claiming to assist millions with diverse tasks. The funding, led by Greenoaks, will support platform development, infrastructure scaling, and R&D. This follows Anthropic’s recent funding and highlights the intense AI investment landscape, emphasizing ethical AI development for long-term success.

CrowdStrike’s 2025 report reveals that adversaries are weaponizing GenAI to scale attacks, targeting AI agents and autonomous systems. DPRK-linked hackers infiltrated over 320 companies using GenAI. Cybercriminals are exploiting AI agent vulnerabilities to steal credentials and deploy malware. Cloud attacks, especially from Chinese groups, surged by 136%. The report emphasizes securing AI systems against these emerging threats as the cyber battleground evolves.

360 Group’s Nano AI platform has been rebranded as “Multi-Agent Swarm,” representing a shift to Level 4 autonomy. This evolution moves beyond solo-agent models, using collective intelligence to accelerate AI productivity. The platform addresses challenges in multi-agent collaboration with a new “Swarm Collaboration Framework,” enabling dynamic grouping and hierarchical organization of agents. Nano AI boasts over 50,000 reasoning agents customizable with natural language and offers multi-agent swarms for various applications, including “one-sentence film creation.”

At the 2025 World Artificial Intelligence Conference, AI pioneer Geoffrey Hinton warned about the potential dangers of advanced AI agents. He suggested these agents, capable of self-improvement and knowledge replication, might prioritize goals conflicting with human interests. Hinton likened humanity’s relationship with AI to keeping a tiger as a pet, emphasizing the need to either thoroughly control AI or relinquish it entirely to avoid potential harm.

GSR Ventures Managing Partner Zhu Xiaohu predicts that large language models (LLMs) will “devour” 90% of AI Agents. His comments, shared on Xiaohongshu, follow previous skepticism about embodied AI and highlight his firm’s bullish stance on the broader AI landscape, evidenced by investments in companies like Robopoet and LiblibAI. Zhu likened AI Agent startups to early internet webmasters, suggesting they learn from successful internet companies. His perspective sparks debate about the long-term viability of standalone AI Agents.

Amid U.S. export restrictions on NVIDIA’s AI chips to China, Chinese startup Manus has launched its open-access general-purpose AI agent globally. Developed by Beijing Butterfly Effect Technology and led by Xiao Hong, Manus uses a tripartite autonomous system (Planner, Executor, Validator) to execute complex workflows across 60+ domains, outperforming rivals on benchmarks. After initial invite-only access caused code resales to surge, the platform now offers cloud-based task processing despite mixed CNBC test results in content generation and multimedia production. Analysts highlight its strategic debut during tech trade tensions, positioning it as a potential disruptor in the global AI market through cognitive automation, bridging conceptualization and execution in human-AI collaboration.