ESG shifts from reporting to action across industries

Executives from technology, supply chain and recruitment firms say sustainability expectations are reshaping organisational decisions and labour markets.

Commentary from senior figures at Avetta, Hitachi Vantara, Biscuit Recruitment and Ultralytics points to a shift away from symbolic environmental commitments towards operational change. Their remarks suggest climate concerns, digital infrastructure choices and employee expectations are increasingly converging.

Katie Martin, director of sustainability and innovation at Avetta, said many organisations still treat environmental, social and governance programmes as disclosure exercises rather than changes to how they operate. She argued that the volume of data now available across global supply chains makes that approach harder to maintain.

"This Earth Day needs to be more than a celebration; it should be an inflection point. Sustainability and ESG have long been treated as reporting exercises rather than engines for change. But in today's volatile global context, the question is no longer what we disclose but how effectively we turn insight into action," Martin said.

She said most large supply chains already generate strong signals on risk and performance. The main gap, she added, is execution rather than information, with prioritisation still a constraint.

"Across global supply chains, the signal is already clear. What's missing is ruthless prioritisation and the ability to execute. Insight without action is just noise, diluting the impact of this powerful new data lens," she said.

In her view, ESG is shifting from a compliance-led model to a continuous, data-driven discipline embedded in how organisations plan and deliver, rather than being confined to reporting cycles.

"ESG is evolving into something far more consequential: a continuous, data-driven discipline embedded in how organisations plan, source, build and deliver. Here, technology becomes catalytic, turning fragmented visibility into decision intelligence, enabling leaders to model trade-offs, stress-test scenarios and act with speed and confidence," Martin said.

She added that firms treating sustainability as an operational issue are beginning to uncover inefficiencies and reshape performance metrics, linking that shift to supply chain resilience and stronger partner collaboration.

"The organisations leading this next chapter won't be those with the most polished disclosures, but companies that operationalise sustainability at scale. They will uncover hidden inefficiencies, challenge entrenched assumptions and align resilience with responsibility through collaboration. In doing so, they will redefine performance, proving that sustainable supply chains are not a constraint on growth, but a blueprint for it," Martin said.

AI meets physical limits

While supply chain specialists stress data-driven execution, infrastructure providers in the Asia-Pacific region are focusing on the physical constraints that shape AI adoption. Hitachi Vantara executives say limits on energy, land and cooling are now influencing AI strategies, particularly in Singapore.

Wendy Koh, vice president and general manager for Asia Pacific at Hitachi Vantara, linked this year's Earth Day theme to decisions about digital infrastructure. She said the regional discussion has moved from access to raw compute to questions of efficiency.

"As Earth Day 2026 highlights the theme 'Our Power, Our Planet', it serves as a timely reminder that sustainability is no longer defined by policy ambition alone, but by the everyday decisions shaping how technology is built and used," Koh said.

Data centre electricity consumption is forecast to approach 1,000 terawatt-hours by the end of the decade. Koh said that the trend is increasing scrutiny of AI's environmental impact in places already facing resource constraints.

"In Asia Pacific, particularly in Singapore, this shift is already underway and conversations are moving beyond access to compute towards how efficiently digital infrastructure is designed and operated. With global data centre electricity consumption projected to approach 1,000 terawatt-hours by the end of the decade, the environmental cost of AI is becoming harder to ignore. This is especially relevant in a region where energy, land and cooling capacity are increasingly constrained," she said.

She noted that AI's energy profile now extends well beyond one-off training runs. As models become embedded in everyday business processes, demand becomes continuous and must be treated as a strategic issue, she said.

"AI's environmental impact is no longer limited to model training. As it becomes embedded in everyday business processes, energy demand becomes continuous. This makes efficiency at every layer, from data storage to workload optimisation, not just a technical consideration, but a strategic one," Koh said.

Responsibility for managing that impact sits with both governments and the private sector, she added, arguing that the next phase of digital growth will be defined less by scale than by how responsibly systems are deployed.

"The region's next phase of digital growth will not be defined by scale alone, but by how responsibly systems are deployed. In this context, 'power' sits not only with governments, but with enterprises and through the choices they make to balance innovation with sustainability," Koh said.

Hiring and trust

Environmental and ethical performance is also influencing labour markets and recruitment. Biscuit Recruitment says sustainability now shapes how candidates in London and New York assess employers and job offers.

Frances Li, founder and director of Biscuit Recruitment, said the issue has moved into core decision-making for many professionals, becoming a deciding factor rather than an optional benefit.

"A few years ago, sustainability sat more within brand and reputation. Now, it is directly influencing hiring. We are seeing candidates actively ask about ESG policies, climate commitments and ethical practices during the interview process. For many, it is not a side consideration; it is part of how they assess whether a company aligns with their values," Li said.

She said concern spans a broad base of employees, though it is especially strong among younger professionals entering the workforce with higher expectations of corporate responsibility. At the same time, she pointed to a growing trust gap around environmental claims.

"What is notable is that this is not limited to one demographic, but it is particularly pronounced among younger professionals who are entering the workforce with a stronger expectation that businesses take responsibility. However, one of the biggest issues we see in recruitment is a trust gap. Candidates are increasingly aware of greenwashing and will question vague or surface-level claims. If a company talks about sustainability but cannot clearly explain what it is doing in practice, it raises red flags. That lack of credibility can quietly impact hiring outcomes, even if everything else about the role is attractive," Li said.

She added that candidate questions now extend into technology strategy, including artificial intelligence. In her view, environmental impact and AI ethics are merging into a single area of concern for job seekers.

"AI ethics are becoming part of the same conversation. Candidates are starting to ask not only what companies are building, but how they are building it. AI is often positioned as a solution, but it has its own footprint. Data centres, energy use and infrastructure all carry environmental costs. More candidates are becoming aware of this and are asking how companies are balancing innovation with responsibility. It is no longer enough to say you are using AI. There is an expectation to be using it thoughtfully," Li said.

She described this as part of a broader shift in what candidates expect from employers.

"We are moving into a phase where values, ethics and long-term impact are becoming part of the hiring conversation in a much more direct way. Candidates are not only asking 'what does this job involve?' but also 'what does this company stand for?' and 'how does it operate behind the scenes?'" Li said.

"The companies that stand out are not necessarily the ones with the most polished messaging, but the ones that can speak clearly about where they are, what they are doing and where they still need to improve. Candidates respond far better to transparency than to perfection," she said.

Li said the shift is not temporary.

"Earth Day often brings these conversations into focus, but the underlying change is happening year-round. Sustainability and ethics are becoming embedded in how people think about work. From a recruitment perspective, that is not a trend; it is a long-term reset in what attracts and retains talent," she said.

Vision AI in the field

Technology firms working in computer vision describe a parallel trend in environmental monitoring. Ultralytics says advances in cameras, drones and on-device AI are narrowing the gap between environmental incidents and response.

Glenn Jocher, founder and chief executive of Ultralytics, said Earth Day acts as a forcing function for organisations confronting climate risks. He argued that monitoring tools are beginning to operate at the speed and scale of the problems they are meant to address.

"Earth Day is a useful forcing function. Environmental problems move fast and operate at massive scale. The tools we use to address them have to keep up. Vision AI is proving it can."

"In agriculture alone, farmers are now detecting crop disease before it spreads, catching pests early and monitoring livestock health automatically, cutting chemical overuse and waste in the process. That's not a prototype. That's happening at scale, today."

"The same technology is tracking emissions across entire regions, flagging deforestation as it occurs rather than months after the fact, and enabling the kind of continuous ecosystem monitoring that was simply impossible before. A drone detects a methane leak from the air. A camera catches plastic accumulating in a waterway. Satellite imagery shows a forest disappearing in real time."

"What makes this genuinely powerful is that it runs directly on-device, with no cloud dependency required. That matters enormously for the places that need it most: remote farms, offshore wind sites, nature preserves with no reliable infrastructure."

"The environmental challenges we face aren't going away. But for the first time, our monitoring and response capabilities are starting to match the scale of the problem. Vision AI is a big reason why."

"Ultralytics is known for its YOLO models that power 2.5 billion daily inferences across industries including agriculture, environmental monitoring, manufacturing and robotics. The company's mission is to democratise AI by making powerful computer vision technology accessible and deployable anywhere."

Taken together, the comments show how environmental and ethical considerations are becoming embedded in decisions on supply chains, infrastructure design, recruitment and technology deployment, rather than being treated as separate or peripheral concerns.