Beyond the Hype: Agentic AI Signals a New Era for Telco Monetization

DÜSSELDORF, GERMANY – September 02, 2026

The telecommunications industry, long caught in a cycle of promising but often elusive digital transformation, is gathering in Düsseldorf this month for a different kind of conversation. At Telecom TV’s AI-Native Telco Forum, the focus has palpably shifted from the speculative hype of artificial intelligence to the hard realities of deployment, scalability, and, most importantly, measurable business value. It is against this backdrop of pragmatism that Netcracker Technology, a subsidiary of NEC Corporation, will take a prominent role, showcasing solutions that aim to answer the sector's most pressing question: How can AI finally move from an operational efficiency tool to a core engine for revenue growth?

The company’s presence as an Associate and Demo Partner is significant, centered on its Agentic AI Solution and AI-Native Operations Platform. These are not just abstract concepts but tools designed for the trenches of customer experience and monetization. Further amplifying this message, Netcracker’s Chief Strategy Officer, Ari Banerjee, will join a critical panel alongside executives from European telecom leaders Elisa and Vodafone. Their topic, “AI Leadership and Accountability,” cuts to the heart of the challenge facing every C-suite—translating AI ambition into tangible action and accelerating the long-sought evolution from traditional telco to agile techco.

The Promise of Agentic AI

For years, AI in telecom has been synonymous with network optimization, predictive maintenance, and chatbot-driven cost savings in customer service. While valuable, these applications are largely defensive maneuvers. The introduction of “agentic AI” represents a strategic pivot toward offense. Unlike passive analytical models, agentic systems are designed with autonomy, comprising multiple intelligent “agents” that can collaborate to execute complex tasks proactively and without direct human intervention.

Netcracker’s demonstration in Düsseldorf aims to make this tangible. The company is highlighting how combining autonomous agents with an AI-first user experience can fundamentally reshape customer engagement. The vision is to move beyond reactive problem-solving to a state of proactive, personalized care where the network and business systems anticipate customer needs, suggest relevant new services, and resolve potential issues before they escalate. This is the core of turning customer interactions, historically a cost center, into a source of demonstrable business value and loyalty.

This capability is a critical enabler for the “telco to techco” transformation. A techco’s value is not derived merely from providing connectivity but from its ability to innovate, bundle, and monetize a host of digital services over that connection. Agentic AI provides the intelligent layer necessary to manage this complexity at scale, creating hyper-personalized service packages and AI-driven experiences that customers may be willing to pay a premium for. It’s a direct challenge to the commoditization trap that has plagued the industry for the better part of a decade.

From Ambition to Action: Closing the Implementation Gap

The path to an AI-native future is fraught with obstacles, a reality the forum’s agenda confronts head-on. The panel featuring Ari Banerjee, alongside Elisa’s Abir Hossain and Vodafone’s Karim Kotobi, is poised to be a bellwether for the industry's maturity. The discussion is set to tackle the stubborn barriers that have stalled progress, moving beyond technological potential to the organizational and strategic realities of implementation.

Research and industry sentiment point to a consistent set of challenges. “Data fragmentation remains a universal barrier to achieving true AI-native operations,” one industry strategist noted. “The technology is reaching maturity, but the organizational structures and data architectures are still playing catch-up.” This gap between ambition and action is where most AI initiatives falter. Many operators struggle to scale solutions beyond contained pilot projects, finding it immensely difficult to integrate intelligence across siloed network domains and legacy business support systems (BSS).

Securing C-suite buy-in requires more than compelling demos; it demands a clear line of sight to ROI and a governance model that can manage the risks. The panel’s focus on “Leadership and Accountability” underscores this point. The conversation is no longer about convincing executives that AI is important, but about showing them a credible, phased roadmap for deployment that overcomes internal resistance, addresses skills shortages, and builds a unified data fabric. The insights from operators like Elisa, known for its advanced digital strategy, and Vodafone, a global giant navigating transformation at scale, will provide a crucial real-world counterpoint to the technology vendor’s vision.

A Crowded Field in the Race for AI Dominance

Netcracker is making a bold play, but it is far from alone in the race to power the intelligent telco. The competitive landscape is a complex tapestry of established incumbents and powerful new entrants. Traditional BSS/OSS rivals like Amdocs are heavily invested in their own AI-driven suites for digital transformation. Simultaneously, network equipment behemoths are embedding AI deep within their hardware and management layers. Nokia, for instance, is also present in Düsseldorf to showcase its own agentic AI concepts for achieving cross-domain network autonomy.

Looming over everyone are the hyperscalers—Microsoft Azure, Google Cloud, and AWS. Their powerful, general-purpose AI/ML platforms offer telcos the tools to build bespoke solutions, positioning them as both essential partners and formidable competitors to traditional telecom software vendors. They are aggressively courting telcos, promising the cloud-native architecture and data analytics horsepower required to run next-generation AI workloads.

Within this crowded field, Netcracker’s differentiation appears to be its strategic focus on bridging the gap between network operations and customer-facing monetization. With three decades of experience rooted in BSS/OSS, its expertise lies in the commercial heart of the telecom business. By explicitly targeting its Agentic AI Solution at customer experience and revenue generation, the company is aiming for the area where AI’s value can be most directly measured on the bottom line, a compelling proposition for any operator under pressure to find new growth avenues.

A Barometer for Telecom's Intelligent Future

The AI-Native Telco Forum itself marks a significant maturation of the industry’s dialogue. Moving beyond abstract visions, the event is structured around concrete evidence, with sessions dedicated to deployment experiences, operational lessons, and proven use cases, all benchmarked against TelecomTV's comprehensive AI-Native Telco Index. The key themes are telling: scaling AI from pilot to pervasive deployment, creating AI-ready data architectures, and, critically, transforming AI into a trusted and revenue-generating operational capability.

Netcracker's prominent participation and its focus on real-world agentic AI business cases are perfectly timed for a market that is hungry for results. The discussions and demonstrations in Düsseldorf will serve as a vital barometer for the industry's true progress. By the time the event concludes, the landscape will be clearer, revealing which players are not only talking about an intelligent, autonomous future but are delivering the practical tools to build it.