Overview
Telecom powers the digital economy, driving connectivity, productivity, and innovation. The market is set to hit $2.87 trillion by 2030. Picture a network that doesn’t just run, it thinks, learns, and acts like your best network engineer, 24/7. It constantly scans for inefficiencies, optimizes power usage, and reduces carbon emissions, all while maintaining peak performance. That’s what iMBrace’s Agentic AI delivers: a way for telecom operators to hit ESG targets and OPEX goals without compromise.
Why ESG Is Telecom’s Next Competitive Edge
The telecom sector faces a convergence of challenges:
- Rising energy costs: Power accounts for up to 20% of OPEX, with as much as 25% wasted due to inefficient radio and idle load management.
- Outdated RAN infrastructure: Legacy equipment lacks real-time energy intelligence, making optimization manual, slow, and error-prone.
- ESG compliance pressure: New mandates like IFRS S2 and EU CSRD require full Scope 1–3 carbon reporting by 2025, with penalties for non-compliance.
- Growing complexity: The expansion of 5G, IoT, and billions of connected devices is driving unprecedented network demands.
Without automation, these factors make energy savings difficult to achieve at scale and leave ESG goals at risk.
Why Agentic AI Matters Now
The telecom landscape is under pressure:
- Exploding traffic: Data traffic is multiplying at unprecedented rates, projected to more than quadruple by 2030 (Global Market Insights Inc.).
- Rising energy burden: Energy costs make up a significant share of operating expenditure (OPEX), especially in energy-intensive regions like Southeast Asia and Africa (GSMA Intelligence).
- Complexity surge: The rollout of 5G and rapid IoT expansion is driving network complexity, with billions of new connected devices expected in the next five years (Ericsson Mobility Report).
Without an intelligent, proactive layer, these forces can drain efficiency and profitability. Agentic AI changes that by enabling networks to self-optimize in real time.
How iMBrace’s Agentic AI Delivers ESG Impact
1. Real-Time Energy Alignment
Agentic AI uses predictive models and large language models (LLMs) to match RAN and base station power usage with live traffic demand. This reduces waste by up to 10%, directly cutting emissions and OPEX.
2. Intelligent Power Control with Smart DCDU
Our all-in-one Smart DCDU replaces legacy DC distribution units, enabling remote switching, metering, temperature monitoring, and integration with AI policies. This eliminates over-provisioning and enables dynamic shutdowns without site visits.
3. Granular Site-Level Visibility
High-precision telemetry provides real-time power consumption data per branch, allowing operators to track and prove energy savings for ESG audits.
4. Automated ESG Compliance
Built-in frameworks align with IFRS S2 and EU CSRD, automatically generating the reports needed for Scope 1–3 tracking and net-zero target verification.
5. Proactive Performance Management
Agentic AI detects underperforming cells before they cause service issues, ensuring performance is maintained while optimization runs in the background.
The Payoff for Operators
- Lower OPEX with Precision Interventions – Avoid blanket energy policies by targeting only the cells and sites that need adjustments, cutting unnecessary truck rolls and reducing operational costs.
- Sustainability with Proof – Every AI-driven action is tied to measurable energy savings and carbon reduction data — supporting ESG filings and investor confidence.
- Scalability Without More Staff – Handle the rising complexity of 5G and IoT expansion without increasing headcount.
- Reliable, Green Performance – Maintain network quality while achieving measurable sustainability wins.
Conclusion
Telecom operators no longer have to choose between performance and sustainability. With iMBrace’s Agentic AI and Smart DCDU, energy efficiency becomes an automated, measurable, and scalable part of daily network operations.
Let’s make your network greener, smarter, and future-ready. Schedule a demo now!
