The B2B imperative
Telecommunications operators have entered a decisive moment. Consumer markets are saturated. Traditional value pools such as voice and MPLS continue to decline. Meanwhile, enterprise demand for connectivity, AI enablement, cybersecurity and industry-specific digital solutions is accelerating.
More than half of enterprise decision makers plan to increase telecommunications and technology spending this year, investing in AI, virtualization, cybersecurity and vertical solutions. Beyond-core spending is expected to grow 2 to 3 times faster than core connectivity, with security projected to expand 6 to 9 percent annually.
McKinsey estimates that 4 strategic growth plays in B2B telecom could unlock up to $160 billion in additional revenue by 2028.
Capturing that value requires more than bundling services. It demands a shift in operating model, architecture and mindset.
Enterprise customers benchmark telcos against hyperscalers, system integrators and software platforms. They expect seamless onboarding, integrated solutions, transparent service assurance and rapid innovation. Many operators remain constrained by fragmented systems, siloed processes and engineering-heavy integration that slows response times and increases cost.
The opportunity is real. The question is whether operators are prepared to win it.
Why the current operating model limits B2B growth
For many telcos, complexity has outpaced capability.
Legacy connectivity, near-core offerings such as SD-WAN and private networks, and emerging 5G-enabled services often run on separate systems with different workflows, data models and interfaces. Each additional platform compounds integration challenges.
Enterprise buyers increasingly prefer integrated offerings. For every product category except security, decision makers favor bundled propositions over best-of-breed point solutions, citing performance, integration and pricing advantages.
If telcos remain a collection of loosely connected tools, they risk ceding the integration role to hyperscalers or global system integrators. One-quarter of enterprise decision makers would consider shifting business away from telcos if viable alternatives emerge.
Internally, human-centric workflows still dominate service assurance, provisioning and customer management. These models introduce variability, lengthen cycle times and limit scale. They also constrain monetization of advanced capabilities such as network APIs or AI-enabled services.
Since 2018, operators have invested roughly $1 trillion in their networks, yet monetization of advanced capabilities remains uneven.
Incremental optimization of siloed systems will not deliver enterprise-grade performance at scale.
From operator to AI-native enterprise platform
Industry leaders recognize that AI must move from experimentation to operating backbone.
Nearly 50 percent of telco executives report capturing impact from AI and generative AI, up from roughly 25 percent the year prior. 64 percent are prioritizing enterprise-wide scaling, targeting 10 to 15 percent improvement in EBITDA.
Early adopters are seeing measurable results:
- A North American telco optimized network capital by approximately 10 percent using AI-driven insights.
- A European operator achieved a 5 to 15 percent ARPU increase through AI-enabled hyper-personalization.
- Another telco reduced cost per call by 35 percent while increasing resolution rates by 60 percent through an AI-driven help desk bot.
The next frontier is agentic AI. 42 percent of executives identify scaling agentic use cases across functions as a priority for 2025, particularly in customer service.
Momentum toward autonomous operations is accelerating. 20 percent of operators report achieving Level 4 or 5 maturity in select domains, and 35 percent expect to do so within two years. Most surveyed operators are targeting approximately 30 percent operating expenditure savings by 2028 through autonomous network initiatives.
Leading operators are not treating automation as an isolated cost program. They are reengineering core processes and embedding AI into service assurance, fault management, provisioning and customer journeys.
This defines the AI-native telco.
An AI-native telco builds a unified architecture where data, workflows and intelligence operate as a single system. AI agents augment decision-making, automate routine tasks and enable proactive service models. Enterprise customers experience a cohesive platform rather than a patchwork of tools.
