Nokia Corporation has raised its Network Infrastructure growth outlook to 12%-14% for the current period, up from a previous forecast of 6%-8%, following strong demand from AI and cloud customers. The company reported approximately €1 billion in new orders, driven by strength in optical and IP networking businesses. This strategic pivot includes the acquisition of Infinera, which expanded its optical networking capabilities. Shares recently reached their highest levels in approximately 16 years after earnings results exceeded expectations, supported by a strategic investment from NVIDIA and growing demand from hyperscalers building AI data centers.

NeOnc Technologies Holdings has attracted investor attention through a new private placement allowing for up to $5 million of Series A Convertible Preferred Stock. The financing structure includes a discounted conversion feature if not redeemed, alongside provisions such as a company redemption option, ownership limitations, and a conversion floor price. The company focuses on central nervous system oncology, with a pipeline featuring NEO100 and NEO212 aimed at treating glioblastoma and other aggressive brain cancers.

Akanda Corp. announced that Nasdaq determined its compliance status had been restored after the company filed its delayed annual Form 20-F. The resolution removes a significant overhang for the smaller-cap company. Beyond its cannabis operations, Akanda has highlighted telecommunications infrastructure opportunities through First Towers & Fiber Corp., which operates a fiber optic network in Mexico and intends to expand throughout Latin America.

Big Tree Cloud Holdings recently experienced a volume spike, described as a Chinese madness listing without news. This activity follows recent PDT rule changes, contributing to a common theme observed in the market during the week.

Key Financial and Corporate Developments

Nokia today announced an enhancement to its Network Services Platform (NSP) with the introduction of an agentic AI framework designed specifically for IP network operations. The new framework enables network operators to deploy AI agents that can reason over real network context and take guided actions within defined policy and security boundaries. This enhancement addresses the need for improved efficiency and reliability in increasingly complex IP networks while maintaining full operational control. Following the announcement, Nokia shares rose 5.54% to $14.87 on Friday.

As IP networks grow in size and complexity with the rise of AI traffic, operators face increasing pressure to improve efficiency and reliability while maintaining full operational control. While AI has the potential to transform network operations, many operators have remained cautious due to concerns around explainability, trust, and risk in production environments. Nokia's approach with NSP addresses these concerns by embedding agentic AI capabilities directly into the platform that already serves as the authoritative controller for IP networks.

NSP grounds AI agents in an accurate and continuously updated view of the network, including topology, protocol behaviour, configuration state, service relationships, and recent network changes. This enables AI agents to reason based on network truth, rather than inferred or fragmented data, and to operate within operator-defined intent, policies, and access controls. The NSP agent framework also allows for communication with external agents via AI-based protocols, such as Model-context protocol (MCP), across operators' multi-vendor, multi-domain networks empowering them on their journey toward fully autonomous networks.

The first use case built on this new framework is an AI-driven Troubleshooting Agent, aimed at helping operators identify root causes faster, reduce operational noise, and resolve complex IP network issues with greater confidence. This marks a significant step in Nokia's strategy to help operators adopt AI safely, incrementally, and at scale in live networks.

"The industry is moving quickly toward AI-native operations, but trust remains the deciding factor. We are enhancing NSP with AI agents built on an agent framework in a way that respects how networks are actually operated. This will have a major impact on the way operators manage their networks and will enable them to enhance their operations significantly and accelerate their journey toward autonomous networks with focus on solving real operational problems, starting with high-impact use cases like troubleshooting. This is an incremental, pragmatic step toward AI‑native networks," said Sasa Nijemcevic, Vice President and General Manager, IP Network Automation software unit, Nokia.

For network operators, the new agentic framework provides a flexible foundation to introduce multiple AI use cases over time without creating siloed solutions. Operators can start with focused, high-confidence scenarios and gradually expand the role of AI as trust builds, using a shared framework that enforces consistent governance and operational controls. End-users also benefit from this evolution through faster fault resolution, improved service reliability, and reduced likelihood of prolonged or cascading outages—delivering better experiences without increasing operational risk.

This enhancement to NSP, which will be commercially available by the end of 2026, reinforces Nokia's commitment to enabling trusted, AI‑native network operations, and to helping operators translate AI innovation into real, measurable operational outcomes.