Samuel naidu

AI / Semi Supply Chain & U.S. Stocks Research
Fundamentals • Catalysts • Market News • Growth
NFA | DYOR | Views are my own

[Samuel naidu @Samuelnaidu57]

🚀 $NOK — FROM TELECOM TO AI INFRASTRUCTURE

$NOK is transforming from a traditional telecom-equipment company into a broader AI infrastructure, optical networking and IP networking platform, while retaining its mobile-network and high-margin technology-licensing businesses.

📊 Q2 2026
• Sales: €4.815B (+8% YoY)
• Network Infrastructure: +12%
• Optical Networks: +20%
• IP Networks: +16%
• AI & Cloud customer sales: +105% to ~€446M
• Order intake: €2.8B

🔥 Key Growth Drivers
• AI data-center optical connectivity
• Optical & IP networking
• AI & Cloud demand
• AI-RAN / 6G
• Infinera integration
• North American hyperscaler expansion

🤝 $NVDA invested $1B in Nokia and partnered on AI-RAN/6G, strengthening Nokia’s position in AI infrastructure.

💰 Nokia also has approximately €2.8B net cash, while its patent-licensing business provides relatively stable, high-margin cash generation.

⚠️ Key Risks: Cyclical telecom spending, competition from $CSCO, $CIEN, $ERIC and $HUAWEI, supply constraints, AI & Cloud order-conversion risk, Infinera integration, China/geopolitical exposure and valuation after the rally.

📅 Q3 2026 results expected around October 2026

💡 The key question: Can $NOK continue converting its growing AI & Cloud backlog into sustained revenue and earnings growth?

NFA, DD.

[Samuel naidu @Samuelnaidu57]

@Kibet026 Hi

[Samuel naidu @Samuelnaidu57]

$NOK NOK — A new Private LTE/5G Network Market report highlights rapid industry growth, with global private LTE/5G deployments reaching 6,500 networks by the end of 2025, up from approximately 4,700 a year earlier. The global market reached $2.4B in 2025 and is projected to grow at a 38% CAGR to $12B by 2030, driven by new deployments, network expansions, LTE-to-5G migration, dedicated spectrum and rising demand for secure, low-latency connectivity.
$NOK is the largest among $NOK, $ERIC and Huawei, with approximately 960 customers and 2,000+ private-network deployments. The report includes 35 executive interviews and analysis of nearly 60 RAN and core-network vendors. The competitive ecosystem also includes $CSCO and $HPE, while $AMZN and $MSFT have made notable strategic moves in the private-network space. Key trends include M&A activity, O-RAN, network slicing, neutral-host solutions and production-grade private 5G deployments.

https://t.co/YOTjTTWiLk

[Samuel naidu @Samuelnaidu57]

$NOK — Nokia and #VODAFONETHREEUK have successfully activated their first 100 advanced 5G radio sites across the UK as part of their 8-year partnership, marking a major milestone in the network rollout and bringing faster speeds, greater reliability and improved coverage to customers.

[Justin Hotard @justinhotard]

Congratulations to the @nokia and @VodafoneThreeUK teams on this milestone. Strong partnerships and disciplined execution are what make progress like this possible. Proud of the hard work behind this achievement.

[Samuel naidu @Samuelnaidu57]

$NOK — Nokia launched its new Cognitive Operations (CO) platform, combining AI, edge computing and mission-critical connectivity for mining, construction, public safety and defense. The platform provides real-time AI assistance, 3D digital twins, video analytics, predictive maintenance and resilient communications, with deployment on-premises or through $MSFT Azure Marketplace. Nokia is also integrating Rajant wireless technology into its Cognitive Edge Node, expanding $NOK ’s AI + edge opportunity.

[Samuel naidu @Samuelnaidu57]

$NOK hosted an AI-RAN webinar with $NVDA and SoftBank, highlighting the growing role of AI in telecom infrastructure. Nokia sees a path toward ~2× spectral efficiency by 2028, while its AI-RAN platform is already commercially launched. RAN and AI inference can dynamically share the same GPU infrastructure, and SoftBank wants AI-RAN deployed now rather than waiting for 6G. Nokia expects the current platform to transition toward 6G primarily through software as standards mature around 2029. $NVDA expects ~60% of AI data-center demand could come from distributed inference by 2030, creating an opportunity to transform RAN from a telecom cost center into an AI revenue-generating infrastructure asset.

[Samuel naidu @Samuelnaidu57]

🚨 DigiTimes: $NVDA Faces a Potential AI Chip Testing Capacity Crunch

According to DigiTimes, rising AI chip demand is creating tight capacity in high-end testing interfaces. Supply-chain sources say $NVDA is reportedly paying higher prices to secure a large portion of Probe Card and Test Socket capacity from major suppliers. This could make testing capacity more difficult to access for other chip companies, especially for R&D and engineering validation.

Simply put:

AI chip production ↑ → Testing demand ↑ → Probe Card/Test Socket demand ↑ → Limited capacity → Potential bottleneck

If this tight supply situation continues, $FORM (FormFactor), $COHU (Cohu), and $TER (Teradyne) could be potential US-listed beneficiaries. $FORM and $COHU have more direct exposure to the testing-interface bottleneck, while $TER is a more indirect beneficiary through semiconductor test equipment.

DigiTimes also reports that Taiwan suppliers are beginning to validate alternative supply channels.

https://t.co/GE2D5sgSP2

[Samuel naidu @Samuelnaidu57]

🚨 DigiTimes: $NVDA Faces a Potential AI Chip Testing Capacity Crunch

According to DigiTimes, rising AI chip demand is creating tight capacity in high-end testing interfaces. Supply-chain sources say $NVDA is reportedly paying higher prices to secure a large portion of Probe Card and Test Socket capacity from major suppliers. This could make testing capacity more difficult to access for other chip companies, especially for R&D and engineering validation.

Simply put:

AI chip production ↑ → Testing demand ↑ → Probe Card/Test Socket demand ↑ → Limited capacity → Potential bottleneck

If this tight supply situation continues, $FORM (FormFactor), $COHU (Cohu), and $TER (Teradyne) could be potential US-listed beneficiaries. $FORM and $COHU have more direct exposure to the testing-interface bottleneck, while $TER is a more indirect beneficiary through semiconductor test equipment.

DigiTimes also reports that Taiwan suppliers are beginning to validate alternative supply channels.

https://t.co/GE2D5sgSP2

[Samuel naidu @Samuelnaidu57]

Donald Trump promised a $5,000 payment to every adult American if Republicans retain control of Congress in the November midterm elections.

Trump did not explain where the money would come from, although he suggested it would be funded by money the U.S. government is making.

[Samuel naidu @Samuelnaidu57]

@Mi_Zu_Ki_20 Hi

[Samuel naidu @Samuelnaidu57]

@saba91023 Hi

[Samuel naidu @Samuelnaidu57]

@Kibet026 Grow

[Samuel naidu @Samuelnaidu57]

@flowininwin Hi

[Samuel naidu @Samuelnaidu57]

$NOK Finland AI Infrastructure: $GOOGL Google plans to invest €13B in Finland during 2027–2028, including three new data centers, electricity-grid upgrades, clean-energy projects and battery storage. The investment will expand computing capacity for AI services such as Gemini, Search, Maps and YouTube, making it Google’s largest single investment in Europe.

For $NOK , this is a strong indirect AI-infrastructure catalyst, as the expansion of hyperscale AI data centers could drive higher demand for optical and IP networking infrastructure. Google Cloud and Nokia also have an expanded partnership integrating Google’s Gemini AI models into Nokia’s network software.

[Samuel naidu @Samuelnaidu57]

$NOK + Orange France successfully completed the world’s first live service-provider network tomography trial, marking an important technology milestone for AI-ready network infrastructure. The technology enables operators to detect network issues earlier, monitor fiber performance, identify network degradation and configuration issues, and optimize networks as AI-driven traffic continues to surge. By utilizing existing network equipment, the solution can also help reduce field interventions and operational costs. This is a positive milestone for $NOK Nokia’s optical networking and AI infrastructure growth story.

[Samuel naidu @Samuelnaidu57]

$NOK Nokia on X: Nokia said it is proud to support $GOOGL Google Cloud’s Finland launch, calling it a major step in building Finland’s and Europe’s digital infrastructure. Google plans to invest at least €13 billion in Finland’s digital infrastructure over the next two years, its largest single investment in Europe ever.

$NOK Nokia CEO Justin Hotard said billions of AI agents, devices and people will act on intelligence in real time, requiring fast, secure and always-on networks, and highlighted Nokia’s work with Google to deliver Optical and IP networks that move intelligence faster, farther and securely.

[Samuel naidu @Samuelnaidu57]

$NOK Nokia & $NVDA backed Zankore, supported by Ooredoo, has secured $3.1B in financing to fund the expansion of its AI cloud platform and acquire advanced NVIDIA GPUs. The Indonesian AI infrastructure company plans to launch its new AI factory with 100MW of capacity, with the facility designed to scale to 1GW.

The platform is being built in collaboration with NVIDIA and $NOK Nokia, while NVIDIA is providing revenue-sharing and credit support to help make large GPU purchases more financeable for lenders. The first 200MW is planned to become operational in H1 2027, using NVIDIA GB300 NVL72 systems.

Zankore’s shareholders include Indosat Ooredoo Hutchison, Ooredoo Group, $NOK Nokia and NVIDIA.

https://t.co/RSrg9ZUxFU

https://t.co/pBZvllFGaw

[Samuel naidu @Samuelnaidu57]

$NOK Nokia & $NVDA backed Zankore, supported by Ooredoo, has secured $3.1B in financing to fund the expansion of its AI cloud platform and acquire advanced NVIDIA GPUs. The Indonesian AI infrastructure company plans to launch its new AI factory with 100MW of capacity, with the facility designed to scale to 1GW.

The platform is being built in collaboration with NVIDIA and $NOK Nokia, while NVIDIA is providing revenue-sharing and credit support to help make large GPU purchases more financeable for lenders. The first 200MW is planned to become operational in H1 2027, using NVIDIA GB300 NVL72 systems.

Zankore’s shareholders include Indosat Ooredoo Hutchison, Ooredoo Group, $NOK Nokia and NVIDIA.

https://t.co/UQnBRRkGoh…

https://t.co/7Gm4x5cXUd…

[Samuel naidu @Samuelnaidu57]

$NOK Nokia & $NVDA backed Zankore, supported by Ooredoo, has secured $3.1B in financing to fund the expansion of its AI cloud platform and acquire advanced NVIDIA GPUs. The Indonesian AI infrastructure company plans to launch its new AI factory with 100MW of capacity, with the facility designed to scale to 1GW.

The platform is being built in collaboration with NVIDIA and $NOK Nokia, while NVIDIA is providing revenue-sharing and credit support to help make large GPU purchases more financeable for lenders. The first 200MW is planned to become operational in H1 2027, using NVIDIA GB300 NVL72 systems.

Zankore’s shareholders include Indosat Ooredoo Hutchison, Ooredoo Group, $NOK Nokia and NVIDIA.

https://t.co/RSrg9ZUxFU

https://t.co/pBZvllFGaw

[Samuel naidu @Samuelnaidu57]

$NOK + Orange France successfully completed the world’s first live service-provider network tomography trial, marking an important technology milestone for AI-ready network infrastructure. The technology enables operators to detect network issues earlier, monitor fiber performance, identify network degradation and configuration issues, and optimize networks as AI-driven traffic continues to surge. By utilizing existing network equipment, the solution can also help reduce field interventions and operational costs. This is a positive milestone for $NOK Nokia’s optical networking and AI infrastructure growth story.