PARTNER CONTENT: AI is no longer a future consideration in telecom. From agent enablement to cybersecurity, most organizations have already begun integrating AI into their operations. Yet the path from adoption to transformation is far from straightforward.

For many telecoms, AI still lives in isolated pilots – technically successful but disconnected from broader business strategy. The question now isn’t if AI should be pursued, but how it should be embedded into the enterprise in a way that delivers sustained value.

Scaling Is Still the Struggle

A recent AI roundtable Bounteous ran with senior telecom leaders surfaced a familiar issue: most AI programs are making progress, but few have scaled successfully.

This finding aligns with recent research: 88% of telecom firms report expected better returns from AI initiatives. Yet only 12% are building engineered AI products. Most investment remains focused on embedded tools or team enablement – automating tasks, summarizing calls, or tagging sentiment.

These wins are real, but they’re not transformative. Without a strategy to scale, telecoms risk stopping at efficiency instead of driving growth.

Why Pilots Stall

Telecom organizations face two core blockers to AI scale: fragmented ownership and lack of strategic alignment.

Our research found 50% of AI responsibility still sits with the CIO, while only a small portion of firms have cross-functional governance in place. This siloed ownership model makes it difficult to align AI initiatives with broader business goals.

At the same time, AI efforts are often disconnected from KPIs that matter at the enterprise level. When automation delivers cost savings but no visibility into customer impact or revenue outcomes, the business case weakens over time.

“We’re automating the edges,” one executive said during the roundtable, “but not transforming the core.”

The Maturity Gap

Self-reported AI maturity varies widely across the sector. While 36% of telecom leaders consider their organizations “expert”, 22% still place themselves at the beginner level – twice the cross-industry average.

This divide reflects deeper operational challenges. In some firms, AI is fully embedded in workflows. In others, adoption remains inconsistent across teams or functions. Additionally, 15% of telecom leaders expressed low confidence in AI’s impact, often citing limited training, poor cross-team collaboration, or concern about job displacement.

These aren’t technical problems – they’re cultural and structural.

What’s Working, and What Comes Next

The most effective telecom AI use cases today are not flashy, but focused:

  • Enhancing billing accuracy through automation
  • Real-time transcription and call summarization
  • Triggering proactive workflows based on sentiment analysis

These efforts succeed because they’re well-scoped, measurable, and tied to real operational challenges. However, most remain department specific.

The next step is scaling those capabilities across the organization. That requires:

  • Centralized AI ownership with cross-functional accountability
  • Shared KPIs that link AI outcomes to business value
  • Training programs that bring consistency and confidence to adoption

The Path Forward

Telecom firms are clearly moving in the right direction. Leaders are investing, experimenting, and learning. But transformation will only happen when AI is treated not as a toolset, but as a capability – owned strategically and built deliberately into the business model.

The gap between early success and scalable impact is closing. The telecoms that move faster to align strategy, ownership, and outcomes will lead the next phase of industry innovation.

By Sanjeev Kumar, Executive Vice President, General Manager, TMT – BOUNTEOUS

Sanjeev Kumar bio:

Sanjeev Kumar is Executive Vice President of Telecom & Media at Bounteous, where he leads strategy, growth, and global delivery for clients across North America and EMEA. With more than 25 years of experience in the telecom and media industry, he advises enterprise leaders on driving transformation through AI, automation, platform modernization, and customer experience innovation.

Sanjeev has worked with some of the world’s largest telecom providers to navigate complex change, deliver measurable outcomes, and scale digital capabilities across the organization. He brings a pragmatic, forward-looking perspective to industry challenges and is a frequent contributor to conversations on how telecoms can move from experimentation to enterprise-wide impact.

Bounteous boiler plate:

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, Digital Experience Platforms, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 5,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. Discover more about our impactful work and expertise by visiting www.bounteous.com and following us on X, LinkedIn, Facebook, and Instagram.