Telecom Monetization Models

I was recently doing some research for a telco customer in the MVNO space who wanted to become AI-native without losing the very thing that makes them valuable: the customer's trust. The competitive landscape for virtual carriers is undergoing a shift. Price pressures from major networks and the arrival of digital-first entrants are closing in simultaneously. In this environment, traditional levers like price discounting are no longer enough to maintain a healthy margin. The window to adapt to these market movements is measured in months, not years. 🛡️ The objective for an established MVNO isn't to disrupt their own core business model, but to defend and grow it. It is about using new tools to protect your base and compound your existing strengths. When a software consulting/services company maps out this journey, the goal is a direct transition, re-architecting the operating model around data intelligence while keeping humans firmly in front. 🧠 1️⃣ Building a Trusted-Service and Data Moat: Instead of bolting automation onto fragmented legacy systems, the operating model must run on real-time data intelligence. By pairing specialized customer data with secure operational frameworks, you build a protective moat around your subscriber base that traditional competitors cannot easily replicate. 🚀 2️⃣ Enforcing Mandatory Bias Audits: When serving loyal or potentially vulnerable subscriber segments, automated guardrails must be absolute. A comprehensive bias and fairness audit cannot be viewed merely as a best practice; it must be a mandatory deployment gate before any new capability ships to production. This prevents automated misfires that could risk long-term brand equity. 🥊 3️⃣ Filtering for Brand-Aligned Use Cases: A disciplined strategy requires knowing what to leave off the table. Focus engineering resources strictly on high-value, protective use cases—such as proactive scam prevention, predictive retention, and real-time agent assist. Off-brand tactics like dynamic pricing or automated features beyond your network control should be completely filtered out. The financial return of an AI-native architecture shouldn't be built on a narrative of reducing headcount. In a service business, your human connection may be a strong value proposition. Automated tools are meant to handle the administrative busywork, manage data structures, and surface insights instantly so that your front-line teams can focus entirely on the customer. We can use technology to grow the value of people, not replace them. 🥊 What do you think? For customer-centric brands adopting AI, how are you ensuring that your technology choices actively defend your customer relationships rather than distancing them? #Telecom #MVNO #VPspeak #CustomerExperience

The Telco Enterprise gamble not paying off: How to fix it? For over a decade, Telcos have pinned their hopes on the enterprise segment as a growth driver. Historically smaller than the vast consumer market, this segment primarily focused on connectivity services. Even the ambitious evolution towards 5G was underpinned by the belief that Telcos could expand their enterprise offerings beyond SIM cards and fiber connections. Yet, the reality today tells a different story. A recent analysis by STL Partners highlights a troubling trend: enterprise revenues among the world's top Telcos are stagnant or declining, even as overall revenues show modest growth. Having spent over 20 years in the Telco industry across different roles, I can confidently say that technology isn’t the issue: it’s the mindset. Telcos need to shift from being mere connectivity providers to enablers of enterprise solutions. The solution lies in adopting a platform mindset. A true platform model encompasses some basics: 1. A Simplified Service Architecture: Enterprises need easy-to-consume services that integrate seamlessly with their operations. 2. A Robust Partner Ecosystem: Supporting diverse use cases tailored to specific verticals is key. 3. Exposure of Capabilities as Services: Allowing enterprises and system integrators to leverage Telco capabilities as modular services enhances flexibility and innovation. Telcos must embrace a strategy similar to what tech giants like Amazon Web Services (AWS), Google, and Microsoft have done for years: selling the shovels while others dig for gold. This means enabling a platform where others can build, create, and integrate rather than attempting to be all things to all customers. https://lnkd.in/gg6nNcSk

🇵🇰 Pakistan’s Telecom Shake-Up: 5 Transformations to redefine who wins After years of cautious investment, sector is entering rapid transformation. 5G on the horizon, nationwide fiber rollouts, and the digital economy expanding fast. The upcoming Ufone 4G –Telenor merger adds another realignment and will reshape market dynamics. Here are my five key transformations and actions. 1️⃣ 5G and Fiber Convergence Next generation of connectivity will depend on how well operators combine 5G radio networks with fiber backhaul. Pakistan’s 5G readiness is improving, but success hinges on affordability, backhaul density, and enterprise adoption. ACTION:
• Prioritize fiber-to-site expansion and urban 5G pilots.
• Focus on enterprise use cases like IoT and smart cities.
• Work with government on pricing and rollout. 2️⃣ National Fiberization & Broadband Growth The National Fiberisation Plan (Nov 2024) aims to connect millions, creating the backbone for digital inclusion. ACTION:
• Partner with infrastructure funds and ISPs for shared builds.
• Offer value-added bundles — managed Wi-Fi, OTT, cloud backup — to grow ARPU.
• Simplify rollout through low-cost installs and municipal cooperation. PTCL.Official, the largest fiber owner, can evolve into a neutral-host and wholesale provider (like BT WHOLESALE) — monetizing its network while driving industry growth. 3️⃣ Mobile Money & Digital Ecosystems Telcos are becoming digital lifestyle and fintech platforms. JazzCash and easypaisa digital bank dominate payments, but competition from banks and startups is heating up. ACTION:
• Treat fintech as core business, not a side venture.
• Expand APIs and merchant ecosystems for everyday payments.
• Use transaction data (with consent) for micro-credit and insurance. 4️⃣ Infrastructure Sharing & Energy Efficiency Rising energy costs and capital pressure are driving operators to share and monetize infrastructure. ACTION: • Monetize towers and dark fiber to unlock capital.
• Invest in green power and energy-efficient radios.
• Pursue shared rural coverage for sustainable expansion. 5️⃣ Enterprise Focus (Cloud, IoT & Cybersecurity) Enterprises are demanding secure connectivity, private cloud, and managed services. Telcos must become digital transformation partners. ACTION:
• Partner with cloud providers for hybrid solutions.
• Bundle connectivity + cloud + security for SMEs.
• Build data centers meeting local compliance and cybersecurity standards. PTCL.Official and Jazz already have enterprise footprints — both can evolve into digital service leaders. The Road Ahead The Ufone–Telenor merger will reshape Pakistan’s telecom landscape. The next few years will decide who leads Pakistan’s digital decade — those who act boldly on fiber, 5G, fintech, and enterprise services will capture not just customers, but ecosystems.

The dumbest strategy in telecom is to keep selling more speed for less money and act surprised when margins disappear. That is not growth. That is a slow financial suicide note. Safaricom’s latest home-fiber move is a perfect example of the pressure building across the market: lower entry pricing, faster speeds, and more competitive tension in broadband. That may be great for customers, but it is a warning sign for operators. When internet access becomes a pure price war, somebody eventually bleeds. () And the timing is brutal. Traffic keeps growing. Customers keep demanding more. ARPU stays under pressure. And parts of the hardware stack are still facing cost volatility, especially in components tied to AI-driven demand and supply constraints. () So here is the real question: How does an ISP make money when bandwidth becomes the cheapest part of the conversation? Not by selling bandwidth alone. That game gets uglier every year. The operators that survive this shift will be the ones that stop thinking like access providers and start thinking like service platforms. That means building revenue on top of connectivity: managed services for SMEs security edge infrastructure local hosting backup payments business applications vertical solutions customers will actually pay for Because once the market trains customers to buy internet like a commodity, the only real escape is to offer something more valuable than internet itself. This is the trap many operators across Africa are walking into right now: the cost of staying relevant keeps rising, while the price of the core service keeps falling. That is not a sustainable equation. If ISPs want to protect margin, they need to innovate beyond connectivity. Fast. Because in the next phase of this market, the winners will not be the ones with the cheapest megabit. They will be the ones with the most monetizable service layer on top of the pipe. #Telecom #ISP #Broadband #AfricaTech #DigitalInfrastructure #EdgeComputing #BusinessModel #Connectivity #Innovation

TELCOS will not win the AI race by selling GPUs;  their success lies in selling trust, locality, and regulated infrastructures. While GPU-as-a-Service may seem appealing, managing scattered edge clusters and lacking a solid software stack make competing with hyperscalers a misguided strategy. Instead, telecom companies should leverage their strengths: sovereign data boundaries, metropolitan power and fiber infrastructure, and strong enterprise relationships.  Key strategies include:  (1) creating sovereign AI clouds where data remains within national borders,  (2) establishing “smart landlord” agreements for reliable margins,  (3) offering bundled solutions that combine 5G, edge computing, and pre-built applications, and  (4) providing specialized edge inference to reduce costs. As a telecom leader planning for 2026, consider whether you will build an AI cloud to compete with hyperscalers or construct the essential infrastructure they need. Which strategy would you defend in the boardroom? #BellLabsConsulting

The telecoms winners of the next decade won’t be the ones defending voice revenue. They’ll be the ones who built for data from the start. The signal is getting harder to ignore. South Africa’s operators carried 21.5% more voice traffic in 2025, yet earned R10.4 billion less from mobile services overall (#TechCentral, 4 April 2026). At the same time, prepaid voice revenue fell 7.6% while prepaid data revenue rose 7.7% to R42.1 billion. That tells us the customer has already moved. #WhatsApp didn’t kill communication. It changed what people believe they should pay for. That matters because a data-first operator is built around a simpler economic model. Lower product complexity. More #digital self-service. Less dependence on legacy billing structures. Lower cost to serve. When your network, channels and customer proposition are designed for always-on connectivity rather than minutes and SMSs, you’re closer to where demand is actually growing. The same trend is visible in fixed broadband. Fixed internet and data revenue grew 16.1%, and fibre subscriptions passed three million for the first time (TechCentral, 4 April 2026). The market is rewarding operators that are aligned to usage, not nostalgia. Too many telcos still treat OTT players as the enemy. I see them differently. They are proof that demand hasn’t disappeared; it has simply migrated. The real strategic question is no longer how to protect legacy revenue. It’s how quickly operators can redesign their business around the economics of data. #nexiosouthafrica

Interesting U.S. telco results in 1Q26. The performance of the "Big Three" wireless carriers signals a definitive shift from traditional subscriber acquisition toward a strategy of capital-efficient infrastructure expansion (AI-era build out) and margin optimization through automation. T-Mobile is currently in a high-intensity integration phase with 11% service revenue growth. The 15% dip in net income reflects the merger math of absorbing UScellular and Metronet. Their pivot toward a capital-light fiber model via joint ventures is a strategic attempt to match AT&T’s connectivity stack without the same level of balance-sheet drag. Verizon and AT&T are demonstrating that the legacy premium model is resilient if paired with fiber. Verizon’s return to positive postpaid phone additions indicates that their restructuring and cost-cutting measures (aimed at reducing churn and acquisition costs) are finally yielding results. The legacy "telco" category is being redefined as distributed infrastructure in the AI-era. For advisors and partners, the value proposition is moving away from the circuit and toward design and architecture. —> The Connectivity Convergence Play: The market has moved past the mobile-only or wireline-only sale. Customers are increasingly seeking a single-vendor fabric that combines 5G, Fixed Wireless Access (FWA), and fiber. —> Infrastructure Management as a Service (IMaaS): As carriers consolidate (e.g., T-Mobile/UScellular and Verizon/Frontier), enterprise customers face significant migration and configuration complexity. There is a growing margin opportunity in Lifecycle Management. Partners should position themselves as the "translation layer" that manages the transition between legacy carrier contracts and new, software-defined network architectures. —> Network-as-a-Sensor & Edge Computing: The carriers are heavily investing in Network Native AI, moving compute power closer to the user to reduce latency (and increase sovereignty). Partners should begin identifying use cases in retail, logistics, and manufacturing where 5G slicing can support real-time data processing without the overhead of public cloud egress fees. —> Shift to Ecosystem “Surround” Services: The transactional commission model is under pressure as carriers automate their direct sales motions. Partners should focus on how these connectivity stacks integrate with the customer’s broader SaaS and security environment (SASE). The goal is to remain the primary architect of the customer’s digital ecosystem, rather than a fulfillment agent for the carrier. This marries the (global) $1.35 trillion telco services opportunity with the $4.72 trillion technology market for the AI-era ahead.

The telecom industry has spent two decades hunting for a new revenue silver bullet, only to find itself relegated to the "dumb pipe" status. While the buzz at Mobile World Congress centered on foldable phones and AI-branded handsets, the real shift is happening in the network architecture itself—turning idle infrastructure into a high-margin compute marketplace. The latest episode of "The Week with Roger" reveals why the "AI RAN" isn't just a technical upgrade, but the first credible business model for carriers to monetize their massive capital investments. 1. Monetizing the "Fallow" Compute Networks are built for peak capacity—the morning commute or the evening streaming rush. For the rest of the day, that massive processing power sits idle. By shifting from traditional fixed ASICs to NVIDIA-based GPUs, carriers can now resell this "fallow" compute as AI tokens. T-Mobile is already proving the model by running live translation services on its own base stations, keeping the revenue rather than paying a third party for the compute. 2. From Data Centers to John Saw's Kinetic Tokens The old "edge compute" model failed because it tried to sell data center space to end users. The AI RAN model is different: it creates a fungible currency of AI tokens. Whether it is real-time translation or local AI processing, the network becomes a distributed computer that initiates physical outcomes in real time. 3. The 6G Equipment Cycle Advantage This transition requires a complete hardware rethink. Because T-Mobile entered the 5G cycle earlier than its peers, they are positioned to hit the 6G equipment refresh five years ahead of the competition. Their joint 6G lab with Deutsche Telekom and Qualcomm is already targeting prototypes by 2029, specifically designed to handle these AI workloads at the edge. 4. The $480 Billion Revenue Drain While carriers look for new income, they are leaking existing revenue at a staggering rate. The GSMA now pegs the impact of global fraud at nearly half a trillion dollars annually. The move toward AI-integrated networks isn't just about selling tokens; it is about using that same on-site compute to identify and kill fraud in milliseconds before it hits the bottom line. 5. The European Cautionary Tale European carriers, burdened by low returns and a lack of investment, are falling behind in this compute race. With the U.S. spending five to six times more on capex, American networks are becoming the testing ground for this new "compute-reseller" model, while European infrastructure risks crumbling into coverage holes and 2G fallbacks. Is the telecom industry prepared to become a global compute provider, or will carriers remain the pipes that others use to transport AI value? Listen to the full analysis on "The Week with Roger" to hear how these shifts will redefine the market by 2029. https://bit.ly/40OuZUy

The most dangerous mindset for a telecom provider today is believing that connectivity is their final destination. It's merely the starting point. In a recent strategy session, a conversation that began with optimizing AI workload costs quickly evolved into a much larger opportunity: transforming from a connectivity provider into a high-value 𝗔𝗜-𝗮𝘀-𝗮-𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗜𝗮𝗮𝗦) 𝗲𝗻𝗴𝗶𝗻𝗲. The client's immediate problem was the high cost of running AI in the public cloud. The obvious solution was to find a more cost-effective platform. 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗻𝗲𝘆—𝗶𝘁'𝘀 𝗮𝗯𝗼𝘂𝘁 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝗻𝗲𝘄 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝘀𝘁𝗿𝗲𝗮𝗺𝘀. We mapped out a phased approach to help them move up the value stack. Instead of just providing the pipes, they can leverage their network's low-latency advantages to offer specialized AI solutions to their B2B customers. The key learning was this: Don't just solve your own cost problem; use the solution to create a revenue opportunity. This involves: - 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹𝘀: Pinpointing specific industries like healthcare, retail, or manufacturing where low-latency AI can solve critical problems - 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝗶𝗻𝗴: Collaborating with specialized AI platform providers on a revenue-share model to bridge internal skill gaps and accelerate time-to-market - 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆: Shifting the business model to capture value from the services running 𝘰𝘷𝘦𝘳 the network, not just the network itself This is the evolution required to break free from the commoditization trap. It's a fundamental shift from infrastructure provider to value creator. Are telcos ready to make this leap? #AI in networking #Managed services trends

B2B Telecom #GTM Has an Intent Problem. And it’s getting expensive. In today’s market: • Google search leads average ~$70+ per lead • LinkedIn B2B lead gen often exceeds ~$400 per lead • IT / managed services categories regularly cross $500+ per lead Now do the real math. If only 20–30% become SQL… You’re paying $1,500–$2,500+ per real opportunity. And in telecom? You still haven’t answered the most important question: Can you actually deliver at that address? The Hidden Inefficiency in Telecom GTM We are buying “intent.” But most of it is inferred. Clicks. Downloads. Form fills. Webinar registrations. None of which confirm: • Serviceability • Speed availability • Access type • SLA requirements • Install timelines • Contract term So we spend hundreds of dollars to discover something in 30 seconds: Not on-net or nearnet or in our current partners reach. Wrong building. Wrong product. Wrong bandwidth. That’s not intent. That’s curiosity. Now imagine something different. A buyer or partner logs into a digital ecosystem connected to the supply chain. They enter: Location. Product. Bandwidth. Term. And they request: Serviceability + price. That is the telecom equivalent of someone typing into Google: “I want Dedicated Internet from XYZ Provider at this address.” That is not marketing intent. That is procurement behavior. That is budgeted demand. That is real. The Shift: From Buying Intent → To Observing It The future of telecom GTM isn’t better ads. It’s instrumenting the #transaction layer. When demand flows through APIs for: • Serviceability • Product Availability • Quoting • Ordering You don’t infer interest. You observe demand. You see: • Where DIA, Waves, Ethernet, Broadband, Dark Fiber demand is • Which speeds convert • Where you are losing to competitors • Where pricing is misaligned • Where you should build, partner, or expand This is first-party intent at the infrastructure layer. And it’s exponentially more valuable than any third-party click signal. This Is Why We Built Connectbase Telecom doesn’t need more leads, every site everywhere is connected in the world today. What we need: • Verified demand • Digitized supply • Connected ecosystems • Measurable transaction flows When buyers and partners request serviceability and quotes across a connected API fabric, something structural happens: The suppliers’ demand becomes visible to their team. Not guessed. Not scraped. Not bought. Captured. And when you capture verified demand at the transaction layer: You compress CAC structurally. You shorten sales cycles. You allocate capital where demand is already forming. You turn infrastructure into observable revenue signals. That’s not just marketing optimization. That’s a permanent shift in how telecom grows. Learn how to build a transaction layer for your connected ecosystem: buyers, suppliers and channel partners with Connectbase at https://lnkd.in/evucUKBX #telecom #b2b #intent #demand #api #connectivity