Worldwide IT spending is on track for 6.37 trillion dollars in 2026, up 14.2% on 2025, with data centre systems and IaaS as the fastest-growing lines (Gartner, July 2026). Data centre spend alone is forecast to grow more than 55% year on year. Every one of those dollars buys compute that also consumes energy and carries carbon.
Which makes the state of enterprise visibility hard to defend. Most large organisations can produce an IT emissions figure for a report. Very few can tell you which workload drives which cost, what its footprint is, and what happens to both numbers if they resize it next quarter. That is the gap the global partnership between Sopht and Infosys was built to close.
The problem is measurement, not ambition
Ambition is not scarce. Almost every large enterprise has a target, a roadmap and a slide.
Precision is scarce. Sustainability data across the IT estate sits in different systems that do not speak a common language: cloud billing consoles, CMDBs, device fleets, colocation invoices, application catalogues. Each has its own granularity, its own refresh cycle, its own owner.
The consequence is operational, not cosmetic. An estimate at group level is enough to publish. It is not enough to act. Rightsizing an over-provisioned instance, retiering cold storage, reclaiming idle compute or retiring a low-usage application all require resource-level data, refreshed continuously, with cost and carbon attached to the same object.
Regulation is tightening the same screw from the other side. The EU's Corporate Sustainability Reporting Directive expects disclosures that are traceable and auditable, which means IT numbers that can survive a question about their source. Annual estimation exercises do not clear that bar. And the pressure is compounding. Cloud migration, data modernisation and generative AI all increase the footprint of IT at the same time as they increase its cost. The blind spot is growing faster than the reporting cycle that is supposed to cover it.
A platform closes the data gap. Tt does not close the execution gap.
Sopht is a SaaS platform that automates data collection across multi-cloud and on-premises environments, giving enterprises resource-level visibility on IT-related emissions across Scopes 1, 2 and 3, alongside the cost of the same estate. Cloud, data centres, workstations, applications. One dataset, one source of truth for IT, finance and CSR.
That closes the measurement gap. It does not, on its own, close the execution gap.
Inside a 50,000-person organisation, a recommendation has to survive contact with reality: an existing cloud operating model, multi-year outsourcing contracts, a migration roadmap already committed, an application owner with a different set of priorities and a governance forum that meets monthly. Insight that nobody owns does not become a decision.
This is precisely where a global systems integrator changes the equation, and why the partnership exists in the shape it does.
What the joint offering delivers
The joint offering is end-to-end: measure, assess, plan, then track continuously.
Sopht supplies the measurement layer and the actionability. Infosys supplies implementation, orchestration, adoption and execution governance, embedding the platform into the broader enterprise AI and cloud operating model rather than bolting it on beside it. Through Process AI, one of its strategic value pools, Infosys redesigns the underlying technology and operations workflows, combining AI-driven insight with human expertise. Infosys Topaz and its AI Strategy and Engineering capabilities bring the architecture and operating models that make efficiency, performance and footprint part of the same decision.
Critically, the two disciplines are unified rather than run in parallel. FinOps and GreenOps become one decision-making framework, so a workload decision carries a cost delta and a carbon delta at the same time, not in two separate reviews six weeks apart.
The output is not a dashboard nobody opens. It is a set of stakeholder-owned action plans, tracked in executive-grade and ESG-ready reporting.
Early deployments give the first hard number: cloud optimisation delivering up to a 20% reduction in CO2 emissions on average, with the associated spend coming down alongside it.
What changes for the enterprise
→ One dataset, three audiences. IT, finance and CSR read the same numbers instead of reconciling three versions.
→ Decisions with a delta. Cost and carbon impact modelled before a change is committed, not discovered after.
→ Auditable by design. Continuous, traceable data that holds up under CSRD scrutiny.
→ Concrete optimisation levers. Rightsizing, storage tiering, idle compute reclamation, application rationalisation.
→ Execution, not just insight. Action plans with named owners, embedded in the operating model that already runs the estate.
→ Global delivery. The same approach applied across geographies and business units, inside transformation programmes already underway.
Why this is an efficiency story, not a reporting story
The industry spent several years treating IT footprint as a sustainability metric: something to measure once a year, publish, and defend.
That framing has run out of road. When IT spend grows double digits and AI infrastructure absorbs the largest share of the increase, efficiency stops being a reporting obligation and becomes a steering dimension, sitting alongside cost, performance and risk in the same conversation. The organisations getting value from this are not the ones with the best disclosure. They are the ones who can act on resource-level data every month.
Sopht was founded in 2021 to make large enterprises' IT more efficient, financially and environmentally, across cloud, data centres, workstations and applications. It now supports more than fifty major accounts in France, Germany, the United Kingdom and Australia, spanning luxury, banking, energy, resources and public healthcare, and raised a 7.5 million euro Series A in June 2026 to broaden platform coverage and accelerate internationally. The Infosys partnership is the distribution and delivery layer on top of that: it embeds IT efficiency directly into large-scale transformation programmes, worldwide.
Measurement was the hard part. It is solved. The next question is what your organisation does with the numbers.