Aaron Boasman-Patel, VP Knowledge & Insight, TM Forum, writes for The Mobile Network ahead of Innovate Americas, October 6-7 in Dallas, Texas.
For years, the US telecoms story has been dominated by 5G economics: spectrum, rollout, consolidation and customer acquisition. That phase is not over, but the center of gravity has moved. The danger is not that North America lacks AI capabilities. It is that momentum stalls because the foundations are not built to scale into an agentic enterprise.
The race to 2030 – to the autonomous enterprise – is not about who moves first. The Americas already have enormous advantages in world-class networks, deep AI investment, frontier model providers, hyperscaler scale and a fast-growing infrastructure base. The goal for 2030 is turning that firepower into autonomous, cross-domain capabilities that customers experience in assured outcomes that deliver continuous connectivity, new and enhanced services, excellence in customer service.
That will not happen by bolting AI onto yesterday’s processes. Customer journeys continue to break across fragmented systems, manual handoffs and disconnected operating models. The hard work is connecting those flows end to end, so business intent can translate into coordinated action across IT, networks and customer operations.
The real race is from pilots to flows
Level 4 autonomy demands more than strong use cases. It needs autonomous flows that cross domains, dismantle silos and create new commercial options.
This is the shift that matters: from AI scattered across functions to intelligent action orchestrated across the business. A fault detected, diagnosed and repaired before a customer notices. A customer order triggering an end-to-end chain of actions without manual intervention. A service experience adapting in real time because the network, IT stack and customer systems are working as one.
Autonomous networks are the engine of that shift. Level 4 autonomy, where the network makes decisions through predictive analysis and active closed-loop management across domains, turns connectivity into sellable capabilities.
Globally, 81% of carriers are targeting Level 4 or above by 2030, according to the TM Forum Autonomous Networks Benchmarking Report. For North America, the question is how do carriers convert existing AI strength into sustained autonomy without being dragged back by cost, complexity or regulation?
Many US carriers are already deploying AI-driven automation, especially in network performance and customer experience. That is real progress, but Level 4 autonomy demands more than strong use cases. It needs autonomous flows that cross domains, dismantle silos and create new commercial options.
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The wall ahead: fragmentation, cost and trust
Autonomous networks are not just a network challenge. They test the IT estate, operating models and trust foundations of the entire business.
Growth-by-acquisition has left many US carriers with fragmented billing and CRM systems behind a single customer-facing brand. TM Forum’s CIO research suggests that burden hits harder in the Americas than globally, with respondents reporting higher dependency on legacy vendors and systems integrators, and greater difficulty escaping closed legacy systems. Composable, AI-native IT is a precondition for autonomous operations, but the network and IT must modernize together, otherwise the promise of autonomy stays trapped in the architecture.
The challenge is no longer simply moving pilots into production. It is running AI-enabled operations at scale without letting cost, resilience or accountability become the brake on progress.
Then comes the economics of AI itself. Some carriers are already processing huge volumes, building real capability and discovering where the pressure points sit. The challenge is no longer simply moving pilots into production. It is running AI-enabled operations at scale without letting cost, resilience or accountability become the brake on progress.
Trust is the other hard edge. Earlier this year, TM Forum highlighted a stark gap: while 72% of carriers believe their AI is trustworthy, only 14% can produce evidence to prove it. In a regulated industry, that gap can stop momentum cold. Once AI starts making decisions across networks, IT and customer operations, governance is not a compliance wrapper. It is the license to scale.
The issues reinforce each other. Fragmented IT slows autonomous flows. Expensive AI makes scale harder to sustain. Weak governance undermines confidence. Carriers that tackle the foundations as one system will move faster than those treating them as separate workstreams.
2030 will reward the operators that build now
Across the Americas, carriers and technology leaders are moving from AI enthusiasm to AI execution. More isolated experimentation will not be enough. The winners will build production-grade AI, modernize the IT estate, prove trust and design autonomous flows around the experiences customers actually want.
North America does not need to prove that AI matters. It does not need to prove it can operate at scale. It needs to prove that scale can be sustained, governed and connected across the enterprise, and that it can translate into better experiences, new services and measurable value.
The race to 2030 will be won by the operators that build the foundations to let AI deliver trusted outcomes.
Join 1,000+ telco industry leaders at Innovate Americas in Dallas, October 6–7, where the race to 2030 and the autonomous enterprise get real for carriers and technology leaders across the Americas. Find out more.
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