Operators Turn To Network Automation As War And Oil Costs Squeeze Capex

Telecom operators across Asia and the Gulf are leaning harder into network automation and AI‑driven optimisation as higher energy prices and geopolitical risk threaten to squeeze capex just when demand for bandwidth and low‑latency connectivity is exploding. Fortune Business Insi

Tom Whitmore

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Tom Whitmore

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Mar 13, 2026

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Operators Turn To Network Automation As War And Oil Costs Squeeze Capex

Telecom operators across Asia and the Gulf are leaning harder into network automation and AI‑driven optimisation as higher energy prices and geopolitical risk threaten to squeeze capex just when demand for bandwidth and low‑latency connectivity is exploding.

Fortune Business Insights notes that global IT and telecom growth is being propelled by data‑hungry applications—cloud, AI, video and IoT—requiring sustained investment in 5G, fibre and data‑centre infrastructure. In Asia, major operators in Japan, South Korea, Singapore and Australia are scaling standalone 5G networks and edge infrastructure to support AI and industrial‑IoT use cases.

The oil shock complicates this build‑out. Higher power costs raise operating expenses for tower sites and data centres, while rising yields and risk premia increase the cost of debt‑funded capex. Operators respond by using AI to eke out more capacity and efficiency from existing assets.

FedEx’s sorting‑robot case illustrates the broader trend toward AI‑enabled operations: an intelligent robot in its Singapore hub sorts up to 1,000 packages per hour to 100 destinations, proving how automation can relieve labour bottlenecks and cut costs. Telecom operators are deploying similar AI engines for traffic steering, anomaly detection and predictive maintenance—reducing truck rolls and unplanned outages.

At the network edge, AI is used to optimise content caching, allocate resources dynamically and steer traffic away from congested or risky routes—functions increasingly important as subsea‑cable and geopolitical risk receive more attention. Combined with smart‑energy management, these capabilities help operators cope with higher input costs without fully passing them on to consumers.​​

Regulators are watching AI deployment closely. Policy agendas in markets like Singapore, Japan and Australia emphasise AI governance, data protection and resilience for critical digital infrastructure. Similar themes appear in Gulf regulatory outlooks, where digital‑finance and telecom resilience are seen as intertwined.

If 2026 forces a reprioritisation of telecom capex, AI‑driven automation and optimisation will likely move from “nice to have” to non‑negotiable, as operators seek to maintain service quality and innovate within tighter financial constraints.

Tom Whitmore

Written by

Tom Whitmore

Senior correspondent · Technology & Energy

Tom trained as an electrical engineer, which makes him unusually patient with infrastructure stories. He reports on AI, cloud, the energy transition, and the businesses turning frontier engineering into real cash flow. Previously he covered the chip supply chain from Taipei. Skeptical of slide decks; comfortable in a substation. Based in Singapore. Reach out at tom.whitmore@theplatinumcapital.com.