Sustainability

Sustainability in telecom focuses on reducing the energy use, carbon footprint, and environmental impact of networks, which consume significant power — much of it in the radio access network. As traffic grows and operators deploy denser 5G and future networks, energy efficiency has become both an environmental and a financial priority, since power is a major operating cost. Approaches range from more efficient radio hardware and AI-driven energy optimization to renewable power, equipment recycling, and lifecycle management. For operators and enterprises, sustainability increasingly intersects with cost, regulation, and procurement decisions. This channel covers sustainability across networks — energy-efficient RAN, AI-driven power savings, renewable strategies, and circular-economy practices — with analysis of where green initiatives deliver genuine reductions alongside cost savings, and how sustainability is reshaping how networks are built and run.

Alphabet’s Google will spend $40 billion to build three AI-focused data centers in Texas, signaling that power access and grid proximity now define hyperscale strategy more than any single technology feature. The build spans one campus in Armstrong County in the Texas Panhandle and two in Haskell County near Abilene, with investments running through 2027. Google expects the program to create thousands of construction and supplier jobs and hundreds of long-term operations roles, consistent with typical hyperscale staffing patterns. Texas offers relatively low-cost power, faster interconnection timelines, abundant land, and pro-investment policies, making it second only to Virginia in U.S. data center count.
Amazon has moved its low Earth orbit broadband effort out of code-name mode and into a market-facing brand with strategic implications for telecom and enterprise buyers. Project Kuiper is now Amazon Leo, a direct reference to the low Earth orbit constellation underpinning the service. The rebrand signals a transition from R&D to commercial execution. Amazon reports more than 150 satellites in orbit today—roughly 153 by recent counts—following a string of successful launches and a completed prototype mission. The company says it will light up service as it adds coverage and capacity.
Alphabet will invest €5.5 billion in Germany through 2029 to expand AI-capable cloud infrastructure and office capacity, anchoring new buildouts in the Frankfurt Rhine-Main region. Google will construct a new data center in Dietzenbach, near Frankfurt, and continue scaling its Hanau campus opened in 2023. With Frankfurt’s role as Europe’s interconnection hub—home to DE-CIX—placement in Rhine-Main positions Google to serve latency-sensitive AI, analytics, and financial services workloads. Google Cloud will bring expanded capacity for services such as Vertex AI and Gemini models into its German regions, enabling enterprises to run training, fine-tuning, and inference closer to users and data.
Nokia will remain TNN’s sole 5G RAN and managed services supplier for four more years, underpinning Denmark’s next phase of high-performance, energy-efficient, and increasingly autonomous mobile networks. The renewed agreement modernizes TNN’s nationwide 5G footprint with Nokia’s AirScale Radio Access Network portfolio and AI-driven MantaRay solutions to improve speed, capacity, and customer experience for more than three million users. Deployment highlights include Habrok Massive MIMO radios for mid-band capacity, Pandion multi-band remote radio heads for broad coverage, and AI-ready AirScale basebands (Ponente, Lodos, Levante) powered by ReefShark system-on-chip silicon to scale throughput while reducing power consumption.
A cascade of offers from OpenAI, Google, and Perplexity—amplified by Airtel and Reliance Jio—signals a deliberate push to convert India’s scale into durable AI usage, data, and future revenue. With more than 900 million internet users, rock-bottom mobile data prices, and a young, mobile-first population, India offers the world’s deepest top-of-funnel for AI adoption. Giving away premium access—such as a year of ChatGPT’s low-cost “Go” tier, Jio’s bundling of Gemini, or Airtel’s tie-up with Perplexity Pro—maximizes trial, habituation, and data collection across diverse languages and contexts. Even a low single-digit conversion rate translates into millions of subscribers, while non-converters still contribute valuable signals that improve models.
Telus is in active talks to bring partners into its data-centre and AI business, signaling a capital-light approach to scale sovereign AI compute in Canada. Partner capital can accelerate GPU procurement, facility buildouts, and interconnect investments while aligning with customers that require sovereign environments distinct from hyperscale public clouds. Management addressed investor concerns about potential AI compute oversupply by emphasizing a modular build strategy, adding capacity in phases as demand materializes. The timing aligns with tightening data-residency requirements, heightened AI adoption, and demand for local alternatives to U.S.-centric infrastructure. This reduces stranded capital risk in a market with volatile GPU supply, rapid chip roadmaps, and evolving workload profiles.
SoftBank and OpenAI have formed SB OAI Japan, a jointly owned entity that will commercialize “Crystal intelligence,” a bundled enterprise AI offering focused on management and operations in Japan. The venture will combine OpenAI’s enterprise-grade models and tooling with localization, integration, and support led by SoftBank in-market. Crystal intelligence is positioned as a turnkey solution that pairs model access with domain-specific implementation, governance, and support. SoftBank plans to deploy the solution across its own group companies, validate outcomes in production, and recycle those learnings back into SB OAI Japan’s offerings.
BT is pressing ahead with cost-cutting as it confronts sharper broadband competition, softer device demand, and structural declines in legacy services. BT reduced its total workforce by about 6% in the first half of its financial year, down to roughly 111,000 employees from 116,000 at the start of the period. The group reported around £250 million in additional annualized cost savings, bringing cumulative savings to about £1.2 billion across the first 18 months of the program and reaffirming a target of £3 billion in annual savings. Group revenue for the six months to September 30 declined about 3% year over year to £9.8 billion. Openreach’s broadband base contracted, with approximately 242,000 fewer broadband customers in Q2 FY25.
Telefónica delivered modest organic growth and wider 5G and fiber reach in Q3, while resetting free cash flow expectations amid operational and macro headwinds. Group revenue reached €8,958 million in Q3, with organic growth of 0.4%, and EBITDA rose organically by 1.2% to €3,071 million. 5G coverage reached 78% across core markets, while FTTH passings rose 9% to 82.6 million premises. Telefónica now expects 2025 free cash flow of €1.5–€1.9 billion. The company reaffirmed 2025 guidance for growth in revenue, EBITDA, and EBITDA minus CapEx.
OECD data shows fixed and mobile broadband have shifted from build-out to scale-up, with fibre and 5G underpinning a new phase of digital infrastructure. Fixed broadband penetration across the OECD rose to 36.5 subscriptions per 100 inhabitants by end-2024, up from 32 in 2019, while the fibre share of fixed lines jumped from 28 percent to 47 percent over the same period. Gigabit-tier offers (≥1 Gbps) moved from 4 percent of subscriptions in 2019 to 19 percent in 2024, signaling both wider availability and growing appetite for very high throughput. On mobile, average monthly data consumption per subscription increased 2.5x—from 6 GB at end-2019 to 15 GB in 2024, aligned with more video, cloud, and AI-assisted applications shifting to handhelds and connected devices.
Samsung and NVIDIA are scaling a 25-year alliance into an AI-driven manufacturing platform that fuses memory, foundry, robotics and networks on a backbone of accelerated computing. Samsung plans to deploy more than 50,000 NVIDIA GPUs to infuse AI across the company’s manufacturing lifecycle—from chip design and lithography to equipment operations, logistics and quality control. The “AI factory” is designed as a unified, data-rich fabric where models continuously analyze and optimize processes in real time, shrinking development cycles and improving yield and uptime. The scope goes beyond semiconductors to include mobile devices and robotics, signaling a company-wide digital transformation anchored in accelerated computing.

Frequently Asked Questions

How much energy do telecom networks actually use, and is it a big deal?
It’s significant enough that operators have set Net Zero targets, generally by no later than 2050, and energy is consistently one of the largest operating expenses for network operators, which is also why energy efficiency has become a financial priority, not just an environmental one. Telecom networks consume meaningful amounts of energy across cell towers, data centers, and the increasingly power-hungry equipment supporting AI workloads now running on shared telecom infrastructure, and that energy consumption tends to grow as networks add capacity and traffic continues increasing year over year. The combination of genuine environmental responsibility and the straightforward financial incentive to reduce a major operating expense has made energy efficiency one of the more consistently prioritized sustainability topics across telecom operators globally.
What’s the difference between Scope 1, 2, and 3 emissions in telecom sustainability reporting?
Scope 1 and 2 emissions cover direct operations, like fuel burned in company vehicles or backup generators, and purchased electricity used to power network equipment, both of which many European operators have already substantially decarbonized through measures like switching to renewable electricity contracts. Scope 3 covers indirect emissions embedded in purchased equipment, like the manufacturing footprint of network hardware operators buy, and the use-phase of sold products, like the energy customers’ own devices consume while connected to the network, and that’s now the harder, bigger focus for the industry, since Scope 3 emissions are generally much larger in total but considerably more difficult for an operator to directly control.
How are operators actually cutting network energy use day to day?
Techniques include AI-driven sleep mode for radios during low-traffic periods, with some sites reporting power savings of up to 70 percent overnight by allowing radio equipment to enter an ultra-low energy hibernation state when traffic genuinely doesn’t require full capacity, power-efficiency heatmaps that help operators identify which specific sites offer the biggest potential efficiency gains, and newer radio hardware that draws substantially less power, in some cases 40 to 90 percent less, than older equipment while delivering equal or better performance. Operators are also increasingly focused on reducing kilowatt-hours consumed per gigabyte of data carried as a key efficiency metric, since this measure captures genuine efficiency improvement even as overall traffic and energy consumption continue growing in absolute terms.
Is reduced sustainability transparency a concern in telecom right now?
Yes. Some companies are quietly reducing public sustainability commitments and disclosure, sometimes called greenhushing, due to political sensitivity around ESG terminology in certain markets, even while continuing the underlying efficiency work behind the scenes. This creates a real disconnect where meaningful sustainability progress may continue happening operationally, but public communication about it becomes more cautious, making it genuinely harder for outside observers to accurately track real progress through public statements alone. Some major cloud and technology companies have specifically removed previously published net-zero targets from public-facing materials despite reportedly continuing to work toward those underlying goals internally, illustrating how political considerations are increasingly shaping how openly companies discuss sustainability work.
Are regulations forcing telecom sustainability progress, or is it voluntary?
Increasingly mandatory rather than purely voluntary. The EU’s Corporate Sustainability Reporting Directive now factors directly into vendor procurement scoring, meaning companies like Vodafone and Telefonica have begun scoring equipment bids partly based on documented life-cycle emissions data, creating a genuine commercial consequence for vendors lacking verified sustainability data. China’s Ministry of Industry and Information Technology has set its own emissions ceiling for the telecom sector, prompting concrete responses like China Mobile equipping over a million base stations with AI-driven energy management software within a single year. This regulatory pressure is pushing the industry toward verified, auditable emissions data rather than loosely defined, voluntary self-reporting.
How is AI specifically affecting telecom’s energy consumption and sustainability efforts?
AI workloads, particularly the more computationally intensive training and inference tasks increasingly run on shared telecom infrastructure, represent a genuinely significant new source of energy demand that’s complicating the industry’s broader sustainability efforts even as operators simultaneously work to improve overall network energy efficiency. This creates a somewhat paradoxical dynamic: AI itself is one of the key tools operators use to improve network energy efficiency, through things like AI-driven radio sleep modes, while also being a meaningful new driver of additional energy consumption through the data center and edge computing infrastructure needed to run AI models at scale. Sustainability planning increasingly needs to treat AI as both a genuine efficiency tool and a real additional energy demand driver.
What role does renewable energy actually play in powering telecom network infrastructure?
Renewable energy plays a meaningful and growing role in powering telecom infrastructure, though the specific approach varies considerably depending on location and facility type. Cell towers and network sites in some regions are increasingly powered by on-site solar and battery systems, particularly in remote locations without reliable grid access, where renewable power can also reduce the need for diesel generator backup. For larger facilities like data centers, operators increasingly purchase renewable electricity through power purchase agreements, effectively ensuring the electricity drawn from the broader grid is matched by an equivalent amount of renewable generation. Neutral host tower companies are also increasingly retrofitting sites with solar and battery systems, reducing tenants’ operating costs and supporting broader sustainability goals.
What happens to old, decommissioned network equipment from a sustainability perspective?
Decommissioned network equipment, when replaced by newer generations of hardware, raises genuine electronic waste and circular economy considerations that telecom sustainability efforts increasingly address directly. Some equipment vendors have made specific public commitments around recovering and recycling materials from decommissioned base station hardware, with some reporting recovery rates above 90 percent of decommissioned equipment mass through structured recycling and refurbishment programs. Compliance with international standards like ISO 14001 for environmental management has become an increasingly common requirement, particularly for European tenders, pushing equipment vendors and operators alike toward more structured, documented approaches to handling decommissioned hardware responsibly.

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