By: Tony Gillick , Alex Westley
Telecom has spent years talking about autonomous networks. The harder challenge is autonomous revenue. Networks get the attention. Revenue Operations sits in the background. Yet as providers
add new business models, revenue is increasingly where complexity accumulates. The original logic was relatively straightforward: launch the offer, connect the systems, capture and charge usage,
generate the bill. That logic no longer holds.Consumer subscriptions now sit alongside enterprise, wholesale, network APIs, IoT, private networks and partner-led propositions, each with different
pricing, usage, terms and settlement requirements…
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By: Aleksandr Moskotin
Every operator has run the same arithmetic and arrived at the same uncomfortable answer. Traffic is compounding. Revenue is not. PwC's latest outlook puts global telecom service revenue on a
path from US$1.15 trillion in 2024 to roughly $1.32 trillion in 2029, a CAGR of about 2.8 percent, while global monthly mobile ARPU is expected to tick down to $6.20 in 2029 from $6.32 in 2024.
Usage soars; willingness to pay flattens. Two decades of capital expenditure have produced a business whose unit economics drift gently downward…
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By: Maria Popo
AI's Real Opportunity: Scaling Human Capability Broadband operators are used to managing change. Fiber networks are expanding, hybrid environments are becoming more complex, and
software-driven operations are reshaping how teams monitor and improve performance. Artificial intelligence is entering that environment quickly, but the real question is not whether operators can
deploy another tool. It is whether their people can absorb new technology, apply it consistently, and prove they are ready to use it in the field…
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By: Guy Lupo
Not long ago, telecom operators were asking whether they should adopt artificial intelligence (AI). Today, the question is very different. AI is already here. It is embedded in network
operations, customer service, security functions, software development and business processes. New AI agents, models and tools appear seemingly every week, while employees and suppliers continue to
experiment with new capabilities. The challenge facing operators is no longer adoption. It is visibility. A useful analogy comes from an unlikely source: Pokémon…
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By: Geert Heyninck
The next wave of broadband Broadband has historically evolved through distinct phases, each shaped by changing usage patterns. In the broadcast era, the focus was on coverage to connect as
many users as possible. In the on-demand era, speed became essential, driven by streaming and social media. Finally, in the creator era, upstream capacity gained importance as users began producing
and sharing traffic flows. Now we enter the AI era, where the network requirements change again. The network is no longer only serving people – it is serving machines, models, and autonomous
systems…
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By: Ram Ramanathan
AI is already transforming network operations, but realizing its full value begins with understanding the problem it is meant to solve. AI assistants, copilots, and analytics tools offer
meaningful benefits to teams managing increasingly complex networks with limited resources. These technologies can surface relevant information, summarize events, identify anomalies, and recommend
next steps. While such improvements represent a practical first step toward AI adoption, they should not be confused with autonomous operations…
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By: Olgay Tas
Why Agentic Transformation Is a Strategic Imperative for TelcosThe telecommunications industry stands at a crossroads. Customer expectations are soaring, driven by the seamless,
hyper-personalized experiences delivered by digital-native companies. Meanwhile, AI is evolving at an unprecedented pace, moving beyond narrow, task-specific applications to systems capable of
understanding context, making decisions, and coordinating actions across domains. For telcos to stay in the race, agentic transformation is a strategic imperative…
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By: Tony Martino
A customer hesitates on a renewal call. Their tone shifts, the pauses lengthen, and they say they need to think it over. The agent moves on to the next call. Three weeks later, a churn report
lands on a manager's desk showing renewals down for the quarter. By then, the conversation that carried the first warning sign is gone, along with the revenue attached to it. That gap between the
moment something shifts in a conversation and the moment a business finds out about it is what conversation intelligence solutions are now seeking to close…
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By: Miguel Carames
AI is already a critical component of today’s telecom networks. However, utilization does not imply that operators are ready to hand over the control and operation of their networks to AI
agents. According to the TM Forum, 46 percent of CSPs surveyed said they have deployed AI in production for specific functions within IT & digital systems and networks, with slightly fewer in
operations and service management (41 percent) and security (39 percent). We are at the tipping point of entering the AI-enabled era…
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By: Mark Cummings, Ph.D.
Recently, there has been a big focus on AI automation. Some are saying that if senior management doesn’t have an effective plan for AI automation, they are not doing their job. The company is
in trouble. Etc. Unfortunately, figuring out what and how to start using AI to automate existing functions, although important, can be missing the forest for the trees.AI is so fundamentally
shifting the earth under the feet of today’s organizations that it is now necessary to redo the basic understanding of the business…
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By: Pipeline Magazine, Scott St. John -
Pipeline
Every so often a single news story reframes an entire conversation. This summer, one such story emerged. In July, OpenAI disclosed that during an internal cybersecurity evaluation, a
combination of its models, running with their usual safeguards reduced, escaped the controls designed to isolate them from the internet and compromised parts of its own research infrastructure and
the systems of Hugging Face. An independent review by METR later found that roughly 1,200 agents had coordinated on an unsanctioned message board, and about 700 of them took part in the
attack…
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By: Pipeline Magazine
Trending industry news shows artificial intelligence moving decisively from pilot projects into production operations across telecom and the enterprise. Vendors focused on the trust,
governance, and cost controls needed to scale AI safely, while operators pushed AI-RAN and agentic automation from the lab into live networks. Satellite connectivity gained ground as a mainstream
extension of terrestrial networks, subsea and optical capacity expanded to keep pace with AI and cloud traffic, and security providers countered a new wave of AI-powered fraud…
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