As AI places unprecedented demand on ageing digital infrastructure, ESG compliance is shifting from a tick box exercise to a critical driver of investor and customer trust. Sujata Kukreja, Global Counsel and Chief Compliance Officer at Expereo, explains why transparency around emissions, ethical sourcing and supply chain practices is a prerequisite for credibility and how forward-thinking businesses are getting ahead of ESG regulation.
AI is no longer invisible infrastructure
Over the past few years, AI has rapidly evolved into an essential part of the working landscape, transforming the everyday lives of professionals in all sectors. When AI first entered the workplace, it was celebrated for its ability to accelerate productivity and remove the friction of routine administrative work. Across the board, embracing AI has delivered immediate value. All this without the majority of the workforce needing to understand the complex networks, cables and data centres that made it possible. Some decades ago, the early internet revolutionised global business long before most professionals had any reason to understand the complex systems that enabled them to access their inbox from anywhere in the world.
The key difference today is that AI’s scale, speed and energy intensity are beginning to make the underlying infrastructure impossible to ignore for business leaders. The majority of employees still enjoy the instantaneous productivity they can pull from new technologies. Meanwhile, as AI becomes an increasingly essential element of business scale and success, boardrooms are recognising that scale relies on a vast ecosystem of networks, cloud platforms, data centres and LEO satellites working continuously behind the scenes. For businesses, AI is no longer an abstract concept that will simply transform their business. It is a visible, tangible part of how organisations operate, compete and innovate.
This growing awareness has also brought a deeper understanding of the physical requirements behind AI amongst business leaders, investors and partners. As organisations scale their AI ambitions, they are also growing electricity demand, cooling requirements and carbon output. The more AI delivers, the more visible its infrastructure becomes and the more important it is for companies to demonstrate that they are managing this infrastructure responsibly. This is why ESG compliance has become a central factor in how investors evaluate long-term resilience and trustworthiness. A few years ago, environmental, social and governance (ESG) standards might have been treated as a compliance checkbox. Today, they can help determine whether a boardroom has the trust of investors, consumers and partners.
AI is new, but the infrastructure behind it isn’t
AI may be the newest priority in the boardroom, but the infrastructure supporting it is often years or even decades old. Every enterprise AI strategy depends on a physical network of data centres, fibre-optic cables, satellites, cloud regions, subsea routes and wireless links that move data between users and applications around the world. These systems were already energy-intensive before AI workloads surged. Now, organisations across the world are placing the compute demands of cutting-edge models onto foundations that were not designed for this scale.
In many transformation programmes, infrastructure modernisation and ESG considerations appear only in the fine print. A committee approves a technology transformation, from budget to models, data platforms, cloud commitment and training. Somewhere in the documentation, network modernisation receives a brief mention. Then, 18 months later, workloads are running in suboptimal regions, latency is degrading user experience and overstretched data centres and networks are generating unnecessary heat and emissions. The result is a system that is working harder than it needs to and costing more than it should.
The additional demand created by AI and cloud applications is an unavoidable aspect of the technological era. But it is also manageable. Recently, more organisations have been treating infrastructure as a strategic asset, rather than an afterthought and are consequently best positioned to scale AI responsibly and competitively. This is where ESG standards become a powerful enabler rather than a constraint. ESG frameworks help companies identify inefficiencies early, modernise infrastructure proactively and demonstrate to stakeholders that they are building AI on a foundation designed for long-term sustainability.
The impact of inactivity
As AI and cloud computing expand at extraordinary speed, the environmental impact of digital infrastructure can no longer be treated as secondary. These systems enable rapid innovation, but they are energy-intensive and stakeholders know it. The environmental footprint of AI is now openly discussed, from office conversations to national news, making proactive ESG action essential for enterprises growing with trust.
Forward-looking organisations are integrating Sustainability Impact Assessments into AI development, evaluating the environmental cost of model training and inference. Energy-efficient algorithms, optimised infrastructure and investment in green data centres powered by renewable energy are becoming strategic differentiators. Google’s commitment to operating carbon-free by 2030, supported by AI-driven energy optimisation, has improved data-centre efficiency by 30%. This is just one example of how sustainability is reshaping attitudes to technology infrastructure on an enterprise level.
Expereo’s 2025 Enterprise Horizons research shows that nearly four in five enterprises now apply formal ESG criteria when assessing external vendors, while many require sustainability commitments before contracts are signed. Transparency around emissions, ethical sourcing and supply-chain practices is no longer optional. It is a prerequisite for credibility.
The reality is simple: new technologies like AI increase the energy demand on infrastructure. That fact does not disappear if a business chooses not to acknowledge it publicly. Stakeholders, partners, customers and investors are demanding greater transparency around emissions data and environmental impact. Credible sustainability action allows businesses to respond to rising technology scrutiny while showing accountability and control to third parties.
Businesses are moving ahead of ESG policy
With ESG expectations diverging across the UK, US and EU, many organisations are moving faster than policymakers. By embedding compliance, sustainability and data governance directly into digital infrastructure, businesses can demonstrate long-term stability and readiness for future regulation.
Forward-thinking organisations are predicting what regional environmental compliance requirements may come to impact infrastructure and planning early. Consequently, businesses with a strong ESG vision are avoiding operational disruption, reducing long-term costs and presenting a reliable, trustworthy service delivery plan to customers, regulators and investors.
When navigating increasingly complex ESG requirements across different markets, having a clear strategy can help companies respond more consistently rather than relying on reactive changes to policy shifts. In practice, this means building ESG into practical decisions such as infrastructure modernisation or creating a circular economy through hardware recycling and refurbishment that lowers manufacturing emissions and electronic waste. Companies putting forward an innovative and thorough ESG strategy are demonstrating what tomorrow’s regulatory standards are likely to become and winning investor trust along the way.
How businesses use ESG to build trust
In the modern era, the infrastructure powering AI, the internet and all digital innovation still powers the working lives of most professionals from behind the scenes. But business leaders and their stakeholders increasingly understand that every transformation depends on physical systems that consume energy and carry environmental consequences. Innovation, sustainability and business growth are now inseparable.
To build trust and growth with their partners, businesses can show themselves as dynamic and forward-thinking by setting the bar, rather than struggling to meet it. Today, modernising infrastructure before inefficiency can be a liability. Embedding ESG and data governance into new technology transformation plans from the beginning and being transparent about the environmental realities of scaling technology is fast becoming the new business standard.
AI may be the headline innovation, but sustainable infrastructure is what will determine whether that innovation can scale competitively with the confidence of customers, investors.
