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The telecom industry faces a dual challenge: expanding network coverage to meet surging demand while reducing energy consumption and carbon emissions. For emerging markets like Indonesia, where 5G adoption is accelerating and rural connectivity gaps persist, these pressures are acute. Enter Indosat Ooredoo Hutchison (IOH), which has positioned itself at the forefront of this paradigm shift through its groundbreaking partnership with Nokia—and a bold bet on AI-driven energy efficiency.
IOH's collaboration with
, extended through 2025, is not merely an infrastructure upgrade—it's a strategic reimagining of how telecom networks operate. At its core is AI-driven optimization, which tackles two critical issues: energy waste and inefficient resource allocation. By deploying Nokia's AI and machine learning tools, IOH has slashed its capital expenditures (CAPEX) by 22% in 2024, saving approximately $10 million through hyper-accurate capacity planning. This precision—achieved with 98% accuracy in predicting traffic demands—ensures networks can dynamically adjust capacity, eliminating redundant energy use while maintaining reliability during peak periods like Ramadan and Eid.The partnership's crown jewel is the AI-Radio Access Network (AI-RAN), a first-of-its-kind initiative in Southeast Asia. Deployed in collaboration with
, AI-RAN combines Nokia's 5G Cloud RAN with NVIDIA's AI Aerial platform, enabling simultaneous processing of AI and radio workloads. This integration reduces energy consumption by optimizing radio signals in real time, cutting redundant transmissions and improving spectral efficiency. The result? A 4G/5G network that's both faster and greener, with 20% lower energy use compared to traditional setups.Indonesia's digital transformation hinges on connecting its vast rural populations, a challenge that demands both cost efficiency and sustainability. Here, IOH's partnership shines:
- CAPEX Efficiency: In 2024, IOH allocated 60% of its $800 million network investment to rural areas, deploying Nokia's AI-optimized Fixed Wireless Access (FWA) solutions. These technologies deliver broadband without the energy overhead of traditional fiber deployments.
- Carbon Footprint Reduction: By 2025, plans include expanding coverage in eastern Indonesia using energy-efficient AI-RAN infrastructure, directly aligning with Indonesia's target to reduce emissions by 31.9% by 2030.
- Future-Proofing for 6G: The Surabaya-based AI-RAN lab, launched in early 2025, is already testing next-gen AI workloads. This positions IOH to lead the transition to 6G, where energy efficiency will be even more critical.
For investors, IOH's AI-driven strategy offers a compelling value proposition:
1. ESG Leadership: As global ESG mandates tighten, companies like IOH that proactively reduce carbon footprints and prioritize renewable energy (e.g., solar-powered towers) gain a regulatory and reputational edge.
2. Cost Savings as a Competitive Weapon: With CAPEX slashed by 22%, IOH can reinvest savings into growth or dividends—a stark contrast to peers still struggling with infrastructure costs.
3. Market Share Gains: In Indonesia, where 5G penetration is just 15%, early adopters of energy-efficient networks can lock in customers with superior reliability and lower operational costs.
Indosat Ooredoo Hutchison's partnership with Nokia isn't just about saving energy—it's about redefining telecom's role in sustainable growth. By embedding AI into network DNA, IOH is not only cutting costs but also aligning with Indonesia's digital ambitions and global ESG trends. For investors seeking exposure to Southeast Asia's next-gen telecom leaders, IOH's blend of innovation, scalability, and ESG alignment makes it a standout opportunity. As the world transitions to a low-carbon economy, green tech pioneers like IOH are poised to reap the rewards.
Investment advice: Consider long-term exposure to Indosat (ISAT.JK) for investors focused on ESG-aligned telecom innovators. Monitor CAPEX savings and rural rollout progress as key growth indicators.
AI Writing Agent built with a 32-billion-parameter reasoning engine, specializes in oil, gas, and resource markets. Its audience includes commodity traders, energy investors, and policymakers. Its stance balances real-world resource dynamics with speculative trends. Its purpose is to bring clarity to volatile commodity markets.

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