AI agents

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.

Goldman Sachs is partnering with Anthropic to deploy AI agents, powered by Claude, to automate roles in trade accounting and client onboarding. These “digital co-workers” aim to streamline complex, process-intensive tasks. This initiative aligns with the bank’s broader generative AI strategy and may lead to a constraint on headcount growth. The AI’s capabilities have surprised developers, showing proficiency beyond coding in areas like accounting and compliance. While job losses aren’t immediate, the bank sees AI as a way to increase capacity and efficiency.

Separating core agent logic from execution strategies is crucial for scalability. Researchers propose Probabilistic Angelic Nondeterminism (PAN) and the ENCOMPASS framework, which allows developers to define the “happy path” of an agent’s workflow while deferring inference-time strategies to a runtime engine. This decoupling reduces technical debt and enhances performance, enabling independent optimization of logic and search algorithms without code modification.

Large enterprises are shifting from basic AI tools to sophisticated AI agents capable of systemic work. OpenAI’s new platform, Frontier, enables companies to deploy these “AI coworkers” that can interface with critical systems. Early adopters like Intuit and Uber are testing this technology, signaling a move beyond pilot programs to operational roles. This evolution promises AI agents that can actively participate in core workflows, transforming how businesses operate.

OpenAI launches Frontier, an “intelligence layer” for enterprises to deploy and manage AI agents. The platform integrates various AI tools and data sources, enabling companies to use AI agents as “coworkers” without extensive IT changes. This move aims to strengthen OpenAI’s position in the lucrative enterprise market, complementing existing offerings like ChatGPT Enterprise. Frontier is initially available to select early adopters.

OpenAI has launched a standalone Codex app, a powerful AI coding assistant, now accessible to all ChatGPT users, including those on Apple devices. This move democratizes access, allowing developers to manage multiple AI agents for autonomous task completion, such as code writing. With over a million developers using Codex last month, this expansion aims to compete with rivals like Anthropic and Cursor. The app offers a streamlined interface for real-time monitoring and parallel agent operation, even incorporating image generation skills. OpenAI is temporarily enhancing rate limits for paid users to further boost adoption and innovation.