Telecom & Connectivity | 3 min read

90% of Telecom Executives Are Confident AI Will Deliver. 70% Haven't Started.

Ericsson surveyed 455 senior telecom executives and found a striking divide: nearly all are confident AI and 5G SA will unlock revenue, but most haven't begun implementing either.

Hector Herrera
Hector Herrera
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Why this matters Ericsson surveyed 455 senior telecom executives and found a striking divide: nearly all are confident AI and 5G SA will unlock revenue, but most haven't begun implementing either.

90% of Telecom Executives Are Confident AI Will Deliver. 70% Haven't Started.

By Hector Herrera | May 14, 2026

A global survey of 455 senior telecom executives found that nearly all of them are confident AI and 5G standalone networks will unlock significant new revenue. Most of them haven't started building either.

The gap between stated confidence and actual implementation is the central finding of Ericsson's May 2026 5G SA Opportunities Report. It documents what is becoming a recognizable pattern across industries: organizations that agree on AI's potential but haven't yet committed the organizational changes required to capture it.

What the Numbers Show

The survey covered 455 senior telecom executives across global carriers. The findings:

  • 90% are confident that AI combined with 5G standalone (SA) will generate significant new revenue streams
  • ~70% have not yet begun implementing the technologies they themselves identify as critical to achieving that growth
  • Two-thirds haven't started AI-driven network operations — the shift from human-managed networks to systems that autonomously detect, diagnose, and resolve network issues
  • 61% haven't begun advanced 5G SA deployment, including network slicing — a feature that allows a single physical network to run multiple virtualized networks simultaneously, each with different performance guarantees

The confidence-to-action gap is not a fringe finding. It's the dominant state of the industry.

Why the Gap Exists

The telecom industry is structurally slow to change, and for reasons that aren't irrational. Network infrastructure decisions have decade-long consequences. A carrier that misses a technology cycle doesn't just lose a product cycle — it potentially locks in an infrastructure disadvantage that takes years to unwind.

But the specific gap Ericsson is documenting isn't primarily about infrastructure investment timelines. It's about organizational readiness. AI-native network operations require different skills, different tooling, and a willingness to let AI systems make real-time decisions about network configuration and resource allocation without human approval at each step. Most telecom organizations aren't built for that, and rebuilding them is slower than buying the technology.

5G standalone adds another layer. Most carriers are running 5G non-standalone (NSA), which uses existing 4G core network infrastructure for control signaling. Standalone 5G requires a full-stack upgrade to a cloud-native core — a larger investment with a longer payback window. The features it enables, including network slicing and ultra-low latency, are what make enterprise AI use cases viable. Without SA, the AI ambition is limited.

The Competitive Consequence

The implementation gap is not a uniform risk. Carriers that close it first gain structural cost advantages. AI-driven network operations reduce the human labor required to manage network performance, identify faults, and optimize capacity. The carriers that automate those functions earliest run lower opex (operating expenditure) per unit of network capacity — a compounding advantage as AI systems improve.

The revenue side is arguably larger. 5G SA network slicing enables carriers to sell guaranteed connectivity — specific latency, bandwidth, and reliability — to enterprise customers building AI applications, autonomous systems, and real-time industrial operations. That's a fundamentally different product from generic connectivity, and it commands fundamentally different pricing. Carriers that can't deliver sliced networks by the time enterprise demand matures will be selling commodity bandwidth into a market that's moved on.

What to Watch

Whether major carriers announce concrete AI network implementation timelines in the second half of 2026 — not pilot programs, but committed rollout schedules with operational milestones. The Ericsson survey captures the current state; the meaningful signal will be whether the gap closes in the next 18 months or widens as AI-native competitors pull ahead.

Watch also for spectrum availability and regulatory timelines on 5G SA deployment. Network operators can close the organizational gap internally. The infrastructure timeline depends partly on factors outside their control.


By Hector Herrera. Published May 14, 2026.

Key Takeaways

  • By Hector Herrera | May 14, 2026

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Hector Herrera

Written by

Hector Herrera

Hector Herrera is the founder of Hex AI Systems, where he builds AI-powered operations for mid-market businesses across 16 industries. He writes daily about how AI is reshaping business, government, and everyday life. 20+ years in technology. Houston, TX.

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