{"id":29178,"date":"2026-10-21T11:00:00","date_gmt":"2026-10-21T11:00:00","guid":{"rendered":"https:\/\/www.ikusi.com\/?p=29178"},"modified":"2026-10-21T06:50:39","modified_gmt":"2026-10-21T06:50:39","slug":"digital-carbon-footprint-infrastructure-kpi","status":"publish","type":"post","link":"https:\/\/www.ikusi.com\/en\/blog\/digital-carbon-footprint-infrastructure-kpi\/","title":{"rendered":"Digital Carbon Footprint Under Control: When Sustainability Becomes an Infrastructure Metric"},"content":{"rendered":"
Germ\u00e1n Castillo<\/div>\n\n\n

Technology infrastructure is now managed through indicators that reflect operational performance: service availability, network performance, bandwidth consumption, response times and operating costs. Yet one variable remains off the radar: the digital carbon footprint, which we address at Ikusi through Ikusi Green Carbon.<\/a><\/p>\n\n\n\n

That lack of visibility has moved beyond an environmental gap; it has become an infrastructure governance gap. According to the Carbon Trust (n.d.), the information and communications technology (ICT) sector generates approximately 1.7% of global greenhouse gas emissions, while data centers consume around 1.5% of the world’s electricity. And that figure is rising: Gartner projects that global data center electricity consumption will grow 26.4% in 2026 alone, reaching 565 terawatt-hours, driven primarily by artificial intelligence workloads (Gartner, 2026, as cited in IT User, 2026).<\/p>\n\n\n\n

In infrastructure terms, this translates into a new planning variable: the carbon footprint stops being a purely environmental indicator and becomes a criterion that adds context and strengthens decision-making on digital infrastructure.<\/p>\n\n\n\n

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From invisible impact to strategic indicator<\/h2>\n\n\n\n

For years, the digital carbon footprint was calculated using annual estimates, generic emission factors and manually compiled reports. Useful for meeting certain regulatory requirements, but limited in their ability to reflect what actually happens within operations.<\/p>\n\n\n\n

As a result, most companies are still unable to identify which sites generate the greatest environmental impact, which equipment accounts for the highest energy consumption, or where to invest to reduce emissions, nor can they demonstrate their sustainability progress with evidence to auditors, investors or customers.<\/p>\n\n\n\n

This gap now carries regulatory exposure on top of its technical limitations. In Mexico, since 2025 the National Banking and Securities Commission (CNBV) has incorporated the Sustainability Information Standards (Normas de Informaci\u00f3n Sostenible, NIS), based on the ISSB’s IFRS S1 and S2 standards, which require issuers to report their greenhouse gas emission metrics as part of their financial statements (Net Zero Community, 2026). In addition, the National Emissions Registry (RENE) of Mexico’s Ministry of Environment and Natural Resources (Semarnat) began operating in January 2026 and requires emissions to be measured, verified and certified under GHG Protocol methodologies and the ISO 14064 standard (Semarnat, n.d.). Organizations without reliable measurement systems will enter this new regulatory cycle with no evidence to support their performance.<\/p>\n\n\n\n

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Digital carbon footprint, data and KPIs<\/h2>\n\n\n\n

A growing number of companies are building environmental targets into their growth strategy. But no strategy can be managed on statements of intent alone: sustainability requires reliable data, continuous measurement under standards such as ISO 14064 (International Organization for Standardization [ISO], 2018), and the ability to demonstrate results.<\/p>\n\n\n\n

Consider an organization with multiple interconnected sites. From an operational standpoint, all of them are running correctly, but monitoring reveals that one site has significantly higher energy consumption and a larger carbon footprint than the rest. Thanks to real-time measurement, the IT team discovers that the gap is driven by an inefficient infrastructure configuration rather than by operating volume. With that information, the team can intervene exactly where the problem lies, optimizing resources, reducing emissions and backing the decision with objective data.<\/p>\n\n\n\n

Ikusi Green Carbon<\/a> enables scenarios such as intelligent workload redistribution, network energy optimization and the identification of infrastructure with the greatest environmental impact. The platform measures the energy consumption and CO\u2082 emissions associated with technology infrastructure in real time, providing a continuous, accurate and verifiable view of the organization’s environmental impact.<\/p>\n\n\n\n

A new dimension of infrastructure governance<\/h2>\n\n\n\n

Beyond sustaining business operations, technology infrastructure reflects how an organization uses its resources and responds to new market and regulatory demands.<\/p>\n\n\n\n

In this context, reliable environmental data goes beyond regulatory compliance to become a capability that strengthens technology planning. Every decision about how infrastructure evolves can incorporate a more complete view of operational performance and its impact.<\/p>\n\n\n\n

That is the value of Ikusi Green Carbon<\/a>: it integrates a new dimension into infrastructure governance, well beyond an additional dashboard metric, so organizations can evolve with data, sound judgment and a long-term vision. Measure your infrastructure’s carbon footprint in real time and turn it into a decision-making indicator with Ikusi Green Carbon.<\/a><\/p>\n\n\n\n

References<\/h2>\n\n\n\n

Carbon Trust. (n.d.). Carbon Trust<\/em>. https:\/\/www.carbontrust.com\/<\/a><\/p>\n\n\n\n

International Organization for Standardization. (2018). ISO 14064-1:2018 \u2014 Greenhouse gases \u2014 Part 1: Specification with guidance at the organization level for quantification and reporting of greenhouse gas emissions and removals<\/em>. https:\/\/www.iso.org\/standard\/66453.html<\/a><\/p>\n\n\n\n

IT User. (2026, June). El consumo el\u00e9ctrico de los centros de datos crecer\u00e1 un 26% en 2026<\/em> [Data center electricity consumption will grow 26% in 2026]. https:\/\/www.ituser.es\/infraestructuras-criticas\/2026\/06\/el-consumo-electrico-de-los-centros-de-datos-crecera-un-26-en-2026<\/a><\/p>\n\n\n\n

Net Zero Community. (2026). Reporte de sostenibilidad en M\u00e9xico 2026<\/em> [Sustainability reporting in Mexico 2026]. https:\/\/netzero-community.com\/reporte-sostenibilidad-mexico-2026\/<\/a><\/p>\n\n\n\n

Secretar\u00eda de Medio Ambiente y Recursos Naturales. (n.d.). Registro Nacional de Emisiones (RENE)<\/em> [National Emissions Registry]. Government of Mexico. https:\/\/www.gob.mx\/semarnat\/acciones-y-programas\/registro-nacional-de-emisiones-rene<\/a><\/p>\n\n\n