Takeaways from Alicante MVNO Nation – Beyond AI adoption

Six months ago, following MVNO Nation Americas 2026, we wrote that AI was no longer a “nice-to-have” for MVNOs., and that it was becoming a core capability affecting differentiation, scalability and profitability. The central argument was very simple: AI creates its meaningful value when it is embedded into the MVNO daily operations through a continuous Sense → Predict → Act cycle.

Discussions held in Alicante at MVNO Nation Europe 2026 this past week, firmly confirmed that direction, and expanded it further! The event brought together more than 450 attendees to discuss the next chapter of growth for the MVNO industry.

What emerged at the event was not simply another conversation about adopting AI. It was highly emphasized that AI must become the foundation of a profound transformation of MVNO business models, a foundation to differentiate beyond price, build better customer experiences, manage complex operations and partnerships, and construct MVNO sustainable economics.

These are the principal takeaways I brought from Alicante.

Takeaway 1: Moving beyond price is a must

One of the clearest themes throughout the event was the need to move beyond price-based competition. While MVNO market remains intensely competitive, consumers can easily compare offers, churn barriers are progressively lower and adoption of eSIM increasingly allows users to maintain relationships with more than one provider.

Low prices might attract new customers but rarely create customer loyalty and time value. The opportunity for sustainable growth still is seeking excellency into a well-defined niche, by designing an attractive service proposition towards an identified customer segment and addressing customer demand better than broader operators actually do.

This reinforces one of the central ideas from our previous analysis. Differentiation is not achieved by pricing but though an improved customer experience where relevance, timing, convenience, trust and quality of service are the components driving a customer purchasing decision rather than pricing itself.

AI processes can support this move by making such differentiation scalable. It can help an MVNO understand individual customer’s behavior, identify the next relevant action, personalize an offer, anticipate and prevent service problems, or decide when a customer interaction should move from automation towards a human touch.

Practical implication for MVNO leaders: Define your unique customer value proposition and then identify where AI processes can make your value proposition more relevant, visible and difficult to replicate.

Takeaway 2: AI is the new growth engine

Through previous industry events, AI conversations focused on process automation, and cost reductions. These remain valuable applications, but focus at Alicante last week shifted decisively towards growth.

Practical discussions on AI tools targeted how churn can be reduced, ARPU increased, and customer service and sales support improved. Also, how AI processes can enable more effective upselling and support community-led growth.

While cost reductions are finite and, upon automatization of processes, available savings will eventually reach a limit, growth applications can continue creating value over time by increasing retention, conversion, cross-selling, service usage and overall customer lifetime value.

The distinction between internal efficiency and commercial growth is important when prioritizing investments. Automating a repetitive internal task may improve productivity, but an AI use case that, for example, reduces avoidable churn or increases the acceptance of a relevant value-added service may generate a more visible and measurable return.

Practical implication for MVNO leaders: Every AI use case should be connected to a measurable commercial or operational outcome, such as churn reduction, incremental ARPU, improved first-contact resolution, lower fraud losses or faster time to market.

Takeaway 3: Customer experience must combine automatization with human touch

Another recurring topic at the conference was the importance of human interaction. MVNO industry community pursues best practices in leading digital businesses, but it also acknowledges that customer loyalty depends on empathy, accessibility and trust, normally ensured by human interactions.

Automation is highly effective for simple, high-volume and predictable interactions. The right operating model is not a AI instead of people, but an intelligent allocation of processes between automation and MVNO employees.

AI should resolve routine requests, identify the likely reason for contact, provide agents with relevant context and recommend possible actions. It should also recognize when automation is not working and when escalation is necessary. Human teams can then concentrate on complex cases, emotional interactions and moments where trust or loyalty can be won or lost.

Practical implication for MVNO leaders: Design customer journeys around an efficient combination of human and AI processes, with clear escalation points, contextual handovers and measurement of both customer satisfaction and customer care costs.

Takeaway 4: Data foundations, integration and governance

MVNO industry focus is moving from isolated AI tools towards AI-enabled operations and platforms capable of connecting intelligence with daily business processes.

Raw data must be ingested from multiple sources such as BSS, CRM, customer-care platforms, host-network feeds, campaign tools, payment platforms and device-management systems. All those diverse environments must share consistent customer identifiers and timely event data for adequate feeding into MVNO wide AI processes.

Processing of all raw data generates business insights to drive MVNO daily operations, providing predictions for teams to act upon, churn scores to connect with retention workflows, fraud alerts triggering the corresponding investigations and payment risks feeding the collection processes. Insights without execution remain just a means of historical reporting without business impact.

Governance is equally important. As AI processes influence customer eligibility, pricing, fraud controls, collections and service decisions, MVNOs need traceability, human oversight, monitoring and clear ownership. This is especially important within the European market in compliance with EU AI Act auditing and explainability obligations.

Practical implication for MVNO leaders: Before scaling AI horizontally, establish trusted data pipelines, shared definitions, workflow APIs, performance monitoring and defined auditing and explainability for AI processes.

Takeaway 5: Partnerships and Smart BSS strategies determine execution speed

Most MVNOs will not build themselves their data platforms, models and automation capabilities. They will rely on a combination of host operators, enablement platforms, BSS providers and specialist technology partners. The strategic question is not just build versus buy, but to define where the MVNO should retain control, and how new AI processes can be introduced without generating unnecessary operational risk.

This connects directly with the argument discussed in our prior article Smart BSS: Augment or Upgrade?. In most cases, becoming AI-enabled does not require an MVNO to replace its existing BSS stack. A complete upgrade can be expensive, disruptive and risky because the BSS supports some of the most critical MVNO processes (billing, subscriber management, provisioning, charging, payments and customer-care processes), that must continue operating with reliability.

A more practical route is often to preserve the transactional core and augment it with an independent AI layer. The BSS continues in its role of transactional processor, while the AI layer transforms operational data into predictions, recommendations and actions. This separation allows AI models and workflows to evolve faster than the underlying core platforms.

It also creates a controlled path to adoption as the MVNO can begin with one use case at a time, such as churn, fraud or payment risk, prove the value of AI processes implementation, and then expand further into other use cases.

Partners can accelerate this journey by providing reusable data models, integration capabilities, analytics services and preconfigured workflows. However, the MVNO must retain visibility over how its data is used, where it is processed, how decisions are generated and how models can be replaced or adapted.

The right partnership model should therefore combine speed with control. It should preserve previous investment in the operational core while allowing the AI layer to evolve independently.

Practical implication for MVNO leaders: Before launching a major BSS stack replacement, assess whether augmentation can deliver the required intelligence faster, with lower risk and a clearer path from data to action.

A focused five-step agenda for 2027

The message from Alicante is clear. AI adoption is no longer a standalone technology program. It has become a part of the operating model through which MVNOs differentiate, grow and serve customers.

A practical agenda for 2027 should focus on five steps:

1. Define the differentiated customer proposition before selecting the technology.
2. Prioritize two or three AI use cases linked to measurable commercial outcomes.
3. Connect data, predictions and actions across the BSS and operational workflows.
4. Adopt a “Human plus AI” operating model with clear governance and escalation rules.
5. Augment before replacing, preserving the transactional core while adding a flexible intelligence layer.

The winners will not necessarily be the MVNOs with the most advanced AI. They will be those that use intelligence most effectively to create a distinctive proposition, execute it consistently and convert it into sustainable customer and economic value.

A final word of recognition

To conclude this article, I would like to restate our warmest congratulations to my dear friend Walter Botman on receiving his well-deserved MVNO Nation Leaders Game Changer Award. It represents the collective recognition of his contribution, leadership and positive impact on the global MVNO community. Congratulations Walter!