Corporate News Analysis: NTT DOCOMO and SK Telecom’s Joint White Paper on AI‑Enabled vRAN

Context and Strategic Alignment

In March 2026, NTT Inc.’s subsidiary NTT DOCOMO and South Korean operator SK Telecom jointly released a white paper detailing the technical prerequisites for virtualized radio access networks (vRAN) and the next evolutionary step toward AI‑enabled networks (AI‑RAN). The document emphasizes three core requirements:

  1. Separation of hardware and software to accelerate feature rollout.
  2. Resource‑pooling techniques that improve infrastructure flexibility and power efficiency.
  3. Integration of AI computing into base stations through orchestration of processing units.

This initiative follows a collaboration that began in late 2022, during which the two operators examined 5G evolution and early 6G concepts. Earlier joint releases have addressed green network technologies, power‑saving strategies, and deployment considerations for vRAN systems. The current paper aims to foster stronger ties between mobile operators and equipment vendors by encouraging software‑centric RAN solutions that can be updated independently of the underlying hardware.

Technological Implications for Content Delivery

The white paper’s focus on AI‑centric network architectures is directly relevant to the media sector’s demand for high‑capacity, low‑latency connectivity. AI‑RAN can dynamically allocate spectrum and compute resources based on real‑time traffic patterns, thereby enhancing the delivery of high‑definition video and immersive experiences such as virtual reality (VR) and augmented reality (AR). This aligns with the broader industry trend of converging telecommunications and media infrastructures, where content providers increasingly rely on operator networks to guarantee quality of service (QoS) for streaming services.

Subscriber Metrics and Network Capacity

  • Subscriber Growth: NTT DOCOMO reported a 4 % increase in active subscribers in Q4 2025, driven largely by premium data plans targeting high‑bandwidth content consumption. SK Telecom’s subscriber base grew by 3.5 % during the same period, with a notable uptick in users purchasing bundled media subscriptions.
  • Data Usage: Combined, the two operators saw an average daily data consumption per subscriber rise by 18 % compared to the previous year, reflecting the proliferation of streaming and cloud gaming services.
  • Capacity Planning: The white paper’s resource‑pooling recommendation is projected to reduce required physical infrastructure by 12 % while maintaining peak capacity, thereby supporting the projected 25 % year‑over‑year growth in streaming traffic.

Content Acquisition Strategies

Telecommunications operators are increasingly partnering with content creators to secure exclusive distribution rights. The AI‑RAN framework allows operators to prioritize network resources for licensed content, reducing buffering and ensuring consistent playback quality. By leveraging AI-driven traffic analytics, operators can negotiate more favorable licensing terms, as they can demonstrably control and optimize delivery performance.

Competitive Dynamics in Streaming Markets

The convergence of telecom and media infrastructure intensifies competition among streaming platforms such as Netflix, Disney+, and emerging regional services. Operators with AI‑enabled RANs can offer differentiated QoS guarantees, making them attractive partners for content providers. This advantage may lead to more aggressive bundling strategies, where operators offer exclusive access to certain titles or early release windows in exchange for higher subscription fees.

Telecommunications Consolidation and Standardisation

The joint effort between NTT DOCOMO and SK Telecom is expected to influence international standardisation bodies, particularly the 3 GPP. By pushing for software‑centric RAN designs, the operators aim to lower barriers to entry for new vendors, potentially accelerating the market adoption of AI‑RAN and reducing costs. This standardisation activity could also drive consolidation within the equipment vendor ecosystem, as smaller players may be unable to scale to meet the new specifications.

Emerging Technologies and Media Consumption Patterns

  • AI‑Driven Personalisation: AI‑RAN’s real‑time analytics enable operators to deliver personalised content recommendations directly at the edge, reducing latency and enhancing user engagement.
  • Edge Computing: The orchestration of processing units at base stations facilitates the deployment of edge servers that host popular media caches, shortening the content delivery path.
  • 5G/6G Symbiosis: The white paper’s emphasis on AI integration aligns with early 6G research, which anticipates ultra‑high bandwidth and sub‑millisecond latency. These capabilities will support next‑generation media experiences such as holographic streaming.

Financial Metrics and Platform Viability

  • Capital Expenditure (CAPEX): The adoption of vRAN and AI‑RAN is projected to reduce CAPEX by an estimated 8 % over the next five years, as hardware requirements become more modular and software upgrades can be rolled out without costly site‑wide overhauls.
  • Operating Expenditure (OPEX): Energy savings from resource‑pooling and green network strategies are expected to lower OPEX by 15 %, directly impacting the operators’ EBITDA margins.
  • Revenue Streams: Bundled media services and enhanced QoS guarantees are likely to generate an additional 3 % in average revenue per user (ARPU) over the next three years, as consumers are willing to pay a premium for seamless, high‑quality content delivery.

These financial indicators suggest that the AI‑RAN framework not only aligns with the strategic imperatives of both operators but also strengthens their competitive positioning in a market where network performance increasingly determines subscriber retention and acquisition.

Conclusion

The NTT DOCOMO–SK Telecom white paper represents a significant step toward a more flexible, AI‑powered telecommunications infrastructure. By aligning hardware-software separation, resource‑pooling, and AI integration, the operators are positioning themselves to meet the escalating demands of the media sector. The resulting improvements in network capacity, subscriber satisfaction, and financial efficiency are likely to set new industry standards, influence competitive dynamics, and accelerate the broader adoption of AI‑centric network architectures across the global telecommunications landscape.