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Whale Cloud International CEO, Jacky Chen Jiang, outlines how AI, cloud and cross-system orchestration are driving telecoms’ shift from connectivity to intelligent, scalable productivity for operators and society.
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Building intelligent productivity: a strategic perspective on telecom’s next chapter
With productivity a strategic imperative for telecom operators, they are increasingly turning to AI to increase operational efficiency. In this interview, Whale Cloud International, CEO Jacky Chen Jiang, outlines how AI, cloud and cross‑system orchestration are reshaping telecom operations.
Jacky Chen Jiang (JCJ): I would choose three words: resilience, breakthrough, and evolution.
First, in our core connectivity BSS/OSS domain, we maintained strong and steady growth throughout the year. We continued to deepen our presence in established markets while achieving breakthroughs on new projects in Southeast Asia and Europe. These wins are highly significant. They demonstrate that our systems can support large-scale operations serving hundreds of millions of subscribers, withstand the rigorous standards of mature European markets, and fully adapt to the diverse requirements of different operators. In other words, we are not only scaling bigger, we are going deeper and broader.
In the CSP second curve beyond connectivity space, 2025 marked a year of multi-dimensional progress.
First, we successfully introduced Digital Payment capabilities into Europe. By bringing our proven digital payment solutions to the region, we are supporting financial inclusion and enabling richer, more convenient digital lifestyles for local communities.
Second, we made systematic progress in cloud business enablement. We helped operators in multiple countries accelerate their cloud capability development and build localized cloud infrastructure. In doing so, we achieved two major milestones:
This enables operators to move beyond selling connectivity alone to monetizing computing power and digital platforms as well.
JCJ: 2025 has been a pivotal year for scaling AI into real-world production environments.
Our enterprise-grade AI application development platform, LocalGPT, has continued to evolve and has now been commercially deployed across multiple countries. These successful implementations mark an important shift: AI is accelerating its integration into operators’ core production systems, particularly across BSS/OSS scenarios.
More concretely, we have developed more than 20 AI Agents covering over 150 business scenarios, deeply embedded across the telecom core value chain. These AI capabilities extend far beyond customer service and marketing. They are now applied in network operations, fault prediction, resource scheduling, and other mission-critical areas, transforming AI from an assistive tool into a true productivity engine.
JCJ: First and foremost, we will continue expanding our AI strategy in 2026.
Our philosophy remains pragmatic: we deliver what our customers truly need. Guided by this principle, we will further extend AI Agent capabilities into more high-value, real-world production scenarios, including business operations, customer lifecycle management, and network optimization, enabling AI to play a deeper role in operators’ daily operational systems and generate measurable gains in efficiency and customer experience.
However, deploying AI in isolated scenarios is far from sufficient. The industry now requires a collaborative AI framework capable of orchestrating cross-vendor systems, cross-business processes, and cross-domain data. Through standardized interfaces and intelligent orchestration frameworks, model capabilities and AI Agents must be invoked and combined flexibly, enabling AI to evolve from isolated tools into system-level productivity enablers.
In response to this trend, in 2026 we will focus on building cross-vendor, cross-system AI orchestration capabilities. By breaking down silos and enabling multi-domain collaboration, we aim to help operators transition from localized efficiency improvements to holistic productivity transformation.
Anchored in this strategic direction, we have further clarified our long-term vision: to become a global leader in building intelligent productivity.
JCJ: As AI becomes deeply integrated with cloud and computing infrastructure, the role of operators is evolving, from traditional connectivity providers to key enablers of intelligent capabilities for society.
Intelligent productivity refers to a new paradigm in which operators leverage AI to reshape their core communications operations and management systems, significantly elevating internal production efficiency. At the same time, through cloud and AI infrastructure and robust B2B ecosystem capabilities, they can deliver intelligent solutions across key industry verticals, from smart factories and ports to healthcare institutions and digital campuses, ultimately driving broader societal productivity gains.
Therefore, intelligent productivity represents not only the primary pathway for operators to elevate their own efficiency and capabilities, but also a key engine for accelerating industry transformation and advancing productivity at a societal level.
Within the telecom sector, Whale Cloud has accumulated extensive domain expertise and proprietary knowledge assets that help operators apply AI to enhance operational efficiency. Beyond this, we continue to support operators in building AI-ready infrastructure systems and sovereign AI capabilities.
Leveraging deep industry practices across energy, healthcare, finance, and other sectors, and working closely with ecosystem partners, we bring China’s mature digital transformation experience and best practices to global markets. Our goal is to help operators evolve from connectivity providers into long-term enablers of intelligent productivity, contributing to societal efficiency gains and sustainable economic growth worldwide.
