In this episode of Carrier 2.0, host Steve Saunders argues that the real competitive advantage in the AI era isn’t hype, scale, or autonomy, it’s execution.

As hyperscalers dominate headlines, carriers face a more grounded challenge: how to modernise live networks without breaking trust. Drawing on conversations with operators and technology leaders, the episode explores why there is no “greenfield reset” in telecom, only the messy reality of legacy infrastructure, exponential endpoint growth, and software complexity layered over physical networks.

From deterministic APIs to probabilistic LLMs, from cloud-native ambitions to the reality that only a fraction of network functions are truly cloud-native, the discussion exposes the operational gap between vision and delivery. The episode makes a clear case: AI changes the network, but uptime, throughput, integration, and disciplined prioritisation still define success.

Ultimately, the end state for carriers isn’t full autonomy, it’s trust. And trust requires humans in the loop, clean data foundations, horizontal integration, and infrastructure delivered at software speed.

The Execution Gap (00:00)

Why reinventing networks with software fails when execution collapses under complexity.

The Greenfield Myth (01:44)

Why carriers don’t get to start over, and must modernise live networks with legacy systems intact.

Changing the Propeller Mid-Flight (02:21)

The operational reality of transitioning to software-defined architectures while maintaining service continuity.

From Silos to Horizontal Platforms (02:32)

Why 21st-century network ecosystems demand integration over organisational segregation.

Trust Over Hype (03:42)

Why enterprises ultimately buy competence, reliability, and realistic delivery, not AI marketing.

AI Isn’t New, But the Interface Is (05:00)

From machine learning to LLMs: what has actually changed, and what hasn’t.

Uptime Is the Real AI Constraint (05:24)

Why stability, fibre throughput, and predictable performance matter more than hallucinations.

Data First, AI Second (06:38)

Why clean databases and narrow, high-impact use cases are the true starting point of AI transformation.

Deterministic vs Probabilistic Systems (07:43)

The clash between contract-based APIs and semantic AI agents, and why telecom must reconcile both.

Cloud Native Reality Check (09:17)

Why most networks remain far from fully cloud-native, despite years of readiness claims.

Autonomy vs Trust (09:38)

Why complete network autonomy is not the goal, and why humans must remain in the loop.

Infrastructure at Software Speed (10:17)

Why the winners will deliver network infrastructure with the speed, flexibility, and user experience of cloud software.

If there is no forklift upgrade and no greenfield reset, what does disciplined execution actually look like in a live, AI-enabled network?

For this episode, the answer lies in modernising without breaking trust, building horizontal platforms instead of silos, prioritising data clarity, using AI selectively, and delivering infrastructure at software speed while keeping humans firmly in control.

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In this episode of Carrier 2.0, host Steve Saunders reframes artificial intelligence not as a product or application, but as a full-stack systems problem spanning power, cooling, water, networking, operations, security, governance, and strategy.

Drawing on interviews with operators, utilities, and technology leaders, the episode explores how AI is stress-testing telecom networks, electrical grids, and operational models — and why the real challenge lies beneath the model layer. From EPB Chattanooga’s grid modernization and community impact, to Orange’s layered AI architecture, the discussion shows why infrastructure, data, and automation must come before intelligence.

The episode argues that AI will not be won by the carriers with the biggest models, but by those that understand physical limits, design resilient systems, and turn AI infrastructure into a platform for secure, low-latency, trusted services.

The Category Error — Holism vs Hype (00:00)

Why AI isn’t software, but a systems problem that exposes infrastructure limits.

AI Isn’t Magic, It’s Load (01:05)

How hyperscaler narratives hide the reality of power, cooling, networking, and operational constraints.

Infrastructure Reality: Chattanooga (02:15)

How EPB integrates fiber, grid automation, AI optimization, and quantum research — delivering 55% outage reduction and $5.3B in community benefits.

Where AI Breaks: Deterministic vs Probabilistic Systems (03:40)

Why hallucinations are catastrophic in industrial, telecom, and critical infrastructure environments.

Without Networking, There Is No AI (04:45)

Why secure, high-performance networking is foundational to all AI scalability.

“Just Scale It” Is a Trap (05:30)

Why hyperscaler scaling logic fails in a world of finite power, water, and capital.

The Carrier Stack: Infrastructure → Data → Automation → AI (06:45)

Orange’s framework for building production-grade, carrier-grade AI systems.

Engineering for Uncertainty (08:10)

Why operators must overbuild and design for unpredictable AI-driven demand.

Data Hygiene & Narrow Use Cases (09:25)

Why real-world AI success starts with cleaning data, standardisation, and focused execution.

The Monetization Inflection (11:00)

How carriers can transform AI infrastructure into differentiated platforms.

The Carrier 2.0 AI Playbook (12:30)

Designing for physical limits, operational reality, business outcomes, and trust.

If AI is fundamentally a systems problem, how should carriers redefine their role in the AI economy?

For this episode, it’s the carrier’s ability to transform networking, security, latency, and infrastructure resilience into monetisable AI platforms, turning connectivity into the foundation of trusted AI services.

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In this episode of Carrier 2.0, host Steve Saunders looks at how carriers are moving beyond AI hype and into execution. Drawing on new research from Fierce Network and interviews with operators and technology leaders, the episode explores what real Carrier 2.0 transformation looks like in practice—culturally, operationally, and economically.

From Brightspeed’s use of AI to improve deployment accuracy and customer experience, to Google Fiber’s focus on lowering cost-to-serve, the discussion shows how carriers are using AI to modernise fundamentals rather than chase novelty. The episode also examines why owning the customer experience end-to-end, monetising AI for customers, and aligning culture with execution will determine which carriers thrive in the decade ahead.

From AI Hype to Execution (00:42) – Why Carrier 2.0 is about disciplined transformation, not chasing headlines.

Modernising the Plumbing (01:39) – Operators prioritise data foundations, orchestration, edge compute, and backbone upgrades before AI ambitions.

AI as a Deployment Engine (02:05) – How Brightspeed uses AI to reduce uncertainty, improve accuracy, and deliver better customer outcomes.

Clean Data, Narrow Use Cases (03:28) – Why successful AI starts with focus, measurable impact, and execution predictability.

Owning the Experience End-to-End (04:00) – Why the carrier’s responsibility no longer stops at the door, but extends to in-home connectivity.

Lowering Cost to Serve (05:19) – Google Fiber’s view on using automation to create room for innovation without raising prices.

Digital Industrialisation (06:10) – Which industries are leading, which are lagging, and what it signals for telecom’s next phase.

The Inflection Point (08:47) – Verizon’s Yago Tenorio on monetising AI for customers as the defining challenge for carriers.

The Carrier 2.0 Playbook (09:39) – Fix foundations first, start small, prove value, then scale—across networks, data, edge, and trust.

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Episode Summary

In this episode of Carrier 2.0, host Steve Saunders examines how AI is reshaping security for carriers and widening the threat surface. Cisco’s Tom Gillis and Martin Lund explain why nation-states are increasingly targeting network infrastructure and how security is being embedded into the network fabric itself.

Hawaiian Telcom’s Jason Thune highlights how regional carriers can out-execute hyperscalers, and Brightspeed’s Michel Combes discusses how BEAD funding is accelerating fiber build-outs to hundreds of thousands of new premises. Steve also tackles the question on everyone’s mind: is AI in a bubble, or just early?

Key Talking Points

AI Security at the Edge (02:27) – Cisco’s Tom Gillis explains how AI dissolves traditional firewalls into the network fabric, with security embedded everywhere. This shift requires AI-driven orchestration at massive scale.

Infrastructure Under Attack (04:15) – Nation-states are increasingly targeting routers, switches, and firewalls. Tom highlights Cisco’s “Live Protect,” which applies compensating controls without reboots to protect legacy infrastructure.

Local Advantage Over Hyperscalers (06:16) – Hawaiian Telcom’s Jason Thune shares how deep local knowledge lets regional carriers outpace hyperscalers on deployments. Permitting, shoreline rules, and community engagement become strategic differentiators.

The AI Bubble Debate (09:07) – Steve asks whether AI is heading for a crash or just a timing correction. His take: demand is real, valuations are inflated, and carriers should set their own AI strategy—not follow vendor hype.

BEAD Funding Unlocks Growth (12:11) – Brightspeed’s Michel Combes announces $560M in provisional BEAD awards, unlocking nearly 300k new premises across 18 states. Combined programs now support up to 600k previously unserved homes.

Unified Security Architecture for AI (13:52) – Cisco’s Martin Lund describes a converged IP/Ethernet architecture spanning data centers to edge with security integrated throughout. Agentic AI drives synchronous traffic demands that carriers must prepare for.

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This show is brought to you by FNTV, supported by Cisco.

In this episode of Carrier 2.0, host Steve Saunders explores what it really takes to build an AI driven network. In a rapid expert montage, Cisco’s Guru Shenoy, Rana El Desouky Kazamel and Masum Mir explain how AI agents will reshape traffic patterns, why the edge becomes critical, and the architectural pillars carriers need to put in place. Verizon’s Yago Tenorio offers a clear-eyed reality check on Open RAN. The episode then shifts to a “Truth to Power” segment from China, asking what AI and automation mean for human workers, and whether a hybrid human plus machine model represents the most ethical and resilient future for Industry 4.0.

Guru opens the montage by explaining how the rise of intelligent AI agents fundamentally changes network behaviour. Instead of short bursts of traffic, carriers will see long-running, task-driven sessions that create more sustained and complex flows. These agents also interact with multiple inference clouds, placing new demands on latency, routing and scalability across the network.

Rana discusses why AI requires a shift in network design. AI workloads sharply increase upstream traffic as data moves toward models, which pushes more processing and capability toward the edge. She highlights the need for platforms where networking, security and automation operate together to support next-generation AI services.

Masum outlines Cisco’s foundational pillars for preparing networks for AI. High-performance, energy-efficient silicon must stretch from the core to the deep edge, while AI driven operations will move carriers closer to autonomous networking. He emphasises integrating security into the network fabric and notes the advantage carriers hold with their distributed data centre and power infrastructure.

Yago offers a grounded view of Open RAN’s progress. He explains what the technology has genuinely achieved, where challenges remain and how Open RAN is likely to fit into an AI heavy future rather than replace existing architectures all at once.

The episode shifts to a segment from China exploring what digital industrialisation means for workers. It highlights that the impact of AI depends as much on leadership philosophy and national regulation as it does on technology. Telecom emerges as an industry actively committed to keeping humans meaningfully involved.

The episode concludes with a more hopeful view, suggesting that the future may lie in hybrid human–machine systems where AI enhances human capabilities rather than replacing them, creating a more ethical and resilient direction for Industry 4.0.

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In this episode of Carrier 2.0, host Steve Saunders talks with Masum Mir, Senior Vice President and General Manager of Cisco’s Provider Mobility Business, about the next wave of transformation for carriers. Masum explains how AI’s “data gravity” is reshaping the network, why IT and OT convergence is accelerating, and how service providers can claim a central role in the new AI-driven economy. From breaking internal silos to bridging enterprise and carrier ecosystems, this conversation explores what it really takes to move beyond connectivity and into intelligence.

The Existential Question (01:36) – With most of humanity already connected, the next challenge for telecoms is linking the physical and digital worlds—and deciding what kind of companies they want to become.

Beyond the Five Nines (02:59) – Why reliability alone isn’t enough anymore, and how service providers can capture value in the digital economy without losing their traditional strengths.

Think Outside-In (03:08) – Masum’s advice to carriers: start small, build from your existing assets, and avoid greenfield silos.

Signal or Noise (03:35) – Quantum computing? Noise. 6G? Signal. Human-level AI? Too early. Masum calls it like he sees it.

IT/OT Convergence (05:15) – How industrial networks are merging IT, OT, and security by design and what it means for telecoms looking to play in vertical markets.

Breaking Silos at Cisco (06:38) – How Cisco is reorganizing internally to bridge enterprises and service providers, uniting cloud, connectivity, and AI operations.

AI’s Data Gravity (11:01) – As AI creates and consumes massive datasets, carriers have a once-in-a-generation opportunity to host, connect, and optimize the infrastructure that underpins the AI economy.

From Chat to Agentics (12:35) – Masum predicts a world where intelligent agents talk to each other, placing new demands on networks and making the edge more valuable than ever.

One Bold Prediction (13:59) – The telecom winners of tomorrow will earn most of their revenue from B2B, not consumers.

The Carrier Question

What defines Carrier 2.0? For Masum, it’s the carrier’s ability to move up the value chain—bridging connectivity, compute, and intelligence to power the AI-driven world.

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Episode Summary

In this episode of Carrier 2.0, host Steve Saunders talks with Santiago ‘Yago’ Tenorio, CTO of Verizon, about the defining forces shaping the next generation of carriers. From how telecoms can truly monetize AI for customers to the realities of Open RAN and the coming 6G era, Yago shares a clear-eyed perspective on where innovation meets practicality—and what the industry must do to stay relevant.

Key Talking Points

The Carrier Question – Why monetising AI for customers, not internal use, will define the next era of telecom.

Open RAN Has Already Happened – Dispelling myths around Open RAN and how Verizon is already deploying it at scale.

The MEF Has Rebranded (Again) – Steve and Yago unpack the MEF’s new identity as Mplify—and what it says about the state of telecom branding.

The Role of AI – Why AI is both overhyped and underestimated, and how future systems could anticipate user intent.

Signal or Noise – Yago rates the hype

The Smartphone Moment – How AI and new interfaces like smart glasses could replace the phone entirely.

Industrial Digitalization Opportunity – Why private 5G networks, slicing, and on-site compute give carriers fresh revenue streams.

Hyperscalers and the Industry 4.0 Revolution – How carriers and hyperscalers can work together to deliver the low-latency, AI-ready infrastructure the future demands.

The Carrier Question – What defines Carrier 2.0? For Yago, it’s the carrier’s ability to translate connectivity into intelligence and intelligence into customer value.

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In this first episode of Carrier 2.0, host Steve Saunders sits down with Ryan Asdourian, EVP and Chief Marketing and Strategy Officer at Lumen, to discuss how Lumen is reinventing itself as a technology infrastructure company. From preparing networks for the demands of AI to breaking down silos and building a culture of trust, Ryan shares what will define the next era of telecom.

From telco to tech infrastructure - Why Lumen is investing in fiber, edge computing, and secure data movement to evolve beyond a traditional telco.

AI readiness - How enterprises and public sector organizations can prepare for AI workloads, and why AI-ready speeds and a connected ecosystem matter.

Culture eats strategy - Breaking silos, empowering teams, and building a human-centric, AI-powered workplace. Trust as a foundation for reliable outcomes.

Partnerships with hyperscalers - Working with hyperscalers, ISVs, and technology integrators to create integrated solutions and a frictionless experience.

Signal to Noise - Ryan’s take on AI, 6G, quantum computing, and holographic communications.

The Carrier Question - Why trust is the defining factor of Carrier 2.0 and how internal trust translates to customer reliability.

One Bold Prediction - Cognitive networks that interpret, act, and secure data in real time, enabling autonomous manufacturing, predictive healthcare, and intelligent logistics.

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Carrier 2.0 is the podcast where Fierce Network’s Steve Saunders sits down with the people shaping the future of telecom. From AI and 5G to culture, strategy, and bold predictions, each episode cuts through the noise to uncover what will define the next era of connectivity.