Editorial illustration for Telcos Build AI Strategy on Open Models for Local Adaptation
Telcos Embrace Open Source AI for Network Adaptation
Telcos Build AI Strategy on Open Models for Local Adaptation
Eighty-nine percent of telecom companies now say open source models and software matter to their AI strategy, according to NVIDIA's latest State of AI in Telecommunications report. That number signals a shift in how operators think about building AI systems for networks that can't afford downtime or opaque decision-making.
Cost isn't the main driver. Telcos are choosing open models because they need to see inside them, retrain them on proprietary network and customer data, and run them wherever the workload demands, whether that's a public cloud, a private data center, or out at the edge. Independent benchmarks, including the Artificial Analysis Intelligence Index v4.3.2, show open models closing the gap with closed systems on reasoning, coding, and agentic tasks, giving operators more room to reserve expensive proprietary models for the few jobs that truly need them.
For an industry managing autonomous networks and regulated customer data, the appeal of open weights comes down to control: the ability to evaluate a model's behavior, adapt it to local compliance rules, and hand a tuned version to an enterprise or government client without relying on an outside vendor's black box.
Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care.
Why this matters
For developers and founders building on telecom infrastructure, this is a signal worth watching closely. When 89% of telecom respondents in NVIDIA's own survey say open models matter to their AI strategy, that's not a minor preference, it's a sourcing decision that will shape what tools and APIs become standard across networks. Open models let operators fine-tune for specific regulatory regimes, languages and enterprise contracts without waiting on a vendor's roadmap.
That matters if you're building products for telecom clients: expect RFPs that specify self-hosted or fine-tunable models rather than closed APIs. It also raises a practical question for researchers, how much of this "strategic value" is really about control versus NVIDIA selling more Nemotron-optimized hardware and software stacks. The report comes from NVIDIA, so treat the framing with some skepticism even as the underlying trend, telcos wanting to own their model weights and customization pipeline, looks real.
Watch whether this translates into actual deployed services for enterprise and government customers, not just survey answers about intentions.
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Common Questions Answered
Why are 89% of telecom companies prioritizing open source models in their AI strategy?
According to NVIDIA's State of AI in Telecommunications report, telcos are choosing open models primarily because they need visibility into how the AI systems work, the ability to retrain them on proprietary network and customer data, and flexibility in deployment locations. Cost is not the main driver, but rather the need for transparency and control over critical network operations that cannot afford downtime or opaque decision-making.
How do open models enable telcos to customize AI for their specific needs?
Open models allow telecom operators to fine-tune AI systems for specific regulatory regimes, languages, and enterprise contracts without depending on a vendor's product roadmap. This customization capability is particularly important for autonomous networks and customer care applications where local adaptation and compliance requirements vary significantly across different markets and regions.
What are the key advantages of open models for telecom operators' critical workloads?
Open models give telcos the ability to trust, control, and customize AI across their most critical workloads including autonomous networks and customer care operations. This transparency and control are essential for telecom infrastructure where system reliability and decision-making visibility are paramount to maintaining network uptime and service quality.
How will the telecom industry's shift to open models impact developers and founders?
The widespread adoption of open models by 89% of telecom respondents represents a significant sourcing decision that will shape which tools and APIs become standard across networks. Developers and founders building on telecom infrastructure need to understand this trend as it will influence the technical requirements and integration points for solutions deployed in telecom environments.
Further Reading
- Why Telecom Operators Are Building Their AI Strategy on Open Models - NVIDIA
- GSMA Launches Open Telco AI to Accelerate Telecom AI - Ideal Investisseur
- GSMA Open-Telco LLM Benchmarks Launches to Advance AI in Telecoms - GSMA
- The Case for a Horizontal Federated AI Operating System for Telecom Operators - arXiv
- MWC 2025: AI and Network APIs Pick Up Pace, and Agentic AI Permeates the Show - Omdia
