Large Language Models

A recent report indicates AI and bots have surpassed human users in online activity, a significant shift from the internet’s original human-centric design. Automated traffic, fueled by advanced AI like LLMs, grew nearly eightfold faster than human activity in 2025. While not all automated traffic is malicious, this trend necessitates new trust mechanisms as machines increasingly act on our behalf. Industry forecasts predict AI bots will outnumber humans online by 2027.

Traditional RPA excels at automating structured, rule-based tasks, but struggles with complex, unstructured data. The evolution towards AI-powered automation, integrating machine learning and LLMs, allows systems to handle variability and context. Rather than replacing RPA, AI augments it, creating a hybrid “intelligent automation” model. This phased transition leverages RPA’s precision for stable processes and AI’s adaptability for dynamic ones, optimizing operational efficiency.

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.

Trustpilot is strategically positioning itself for AI-driven shopping by partnering with e-commerce leaders. The company anticipates significant growth in LLM content utilization, evidenced by a 1490% surge in AI-powered search click-throughs. This pivot aligns with industry trends like Amazon and Google integrating AI for direct purchasing within chatbots. Trustpilot’s extensive review data is becoming a vital asset for AI agents making informed consumer decisions, presenting both challenges and opportunities in the evolving landscape.

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.

Chinese AI stocks surged on Thursday as companies launched advanced AI models and policymakers emphasized accelerating adoption. Zhipu AI and MiniMax saw significant gains after releasing new large language models and AI agent tools. This innovation push, aimed at narrowing the gap with U.S. competitors, also boosted infrastructure providers like UCloud Tech. The enthusiasm for pure-play AI firms contrasts with mixed performance from larger tech giants, but government support and a capital-efficient approach suggest China’s growing presence in the AI sector.

Knowledge Atlas Technology (Zhipu), a Chinese AI startup, debuted on the Hong Kong Stock Exchange after a $558 million IPO. The company, recognized as an “AI tiger,” is a leading developer of large language models and aims to compete globally. Despite U.S. restrictions impacting its AI model training capabilities, Zhipu plans to allocate a significant portion of its IPO funds to R&D. Another AI firm, MiniMax, is also expected to go public soon.

Anthropic is reportedly in late-stage talks for a $10 billion funding round, valuing the company at $350 billion. Coatue and GIC are leading the investment, signaling strong investor confidence. Founded by former OpenAI executives, Anthropic focuses on safe and ethical AI development with its Claude models. This funding would solidify its position against competitors like OpenAI and Google in the escalating AI arms race, with previous backing from Amazon, Microsoft, and Nvidia.

Kilo Code, an AI‑coding startup founded by former GitLab CEO Sid Sijbrandij and Scott Breitenother, raised an $8 million seed round. Its platform integrates with IDEs like VS Code and Cursor, offering a multi‑model API that processed over 3 trillion tokens in a month. Early adopters such as Plug & Pay report that 80% of their developers now rely on Kilo Code, cutting multi‑day tasks to a single day. With a $1,000 right of first refusal from GitLab and growing demand for “vibe coding,” the company is poised for further VC interest and possible acquisition.

AWS announced an AI‑enabled “DevOps Agent” that helps enterprises pinpoint and resolve system outages faster by ingesting data from tools like Datadog and Dynatrace. In preview, the service assigns multiple AI agents to test hypotheses, delivering root‑cause reports and remediation steps before engineers join. A pilot with Commonwealth Bank cut investigation time to under 15 minutes. The launch reflects cloud providers’ shift toward AI‑driven operations tools, a market projected to exceed $3 billion by 2028 as firms seek to lower costly downtime.