Across the divisions
Sustainability and ESG in the AI Era
AI sits on both sides of the ESG ledger. Training and running models consumes energy and water, while AI is also used to measure emissions, screen suppliers and draft sustainability reports.
The position
Investors and regulators are starting to ask about both. Boards benefit from a single view: what AI the organization runs, what it costs environmentally, and how AI-generated ESG figures are checked before they are published.
What matters
01
The footprint of AI workloads
Model choice, hosting region and usage patterns change the energy profile of AI. A simple register of AI workloads is the starting point for reporting it.
02
AI-produced ESG data
Figures estimated or extracted by AI need the same assurance trail as any other reported number: source, method, reviewer and date.
03
Governance as the G in ESG
AI oversight, accountability and risk management are becoming part of governance disclosures, alongside data protection and cybersecurity.
04
UAE context
The UAE's Net Zero 2050 Strategic Initiative and growing sustainability reporting expectations make AI's footprint and AI-assisted reporting a board-level topic.
Where the divisions apply
The divisions that do this work.
Questions
- Should AI appear in our ESG report?
- Where it is material, yes: as an operational footprint, as a tool used in producing reported data, and as a governance risk the board oversees.
- Can AI be used to prepare ESG disclosures?
- It can speed up data collection and drafting, provided every figure keeps a documented source and a human reviewer signs off before publication. An AI audit checks exactly that trail.
Across the divisions
Topics that run through every division
- PR, media and ORMHow public relations, corporate communication, media relations and online reputation management work now that AI assistants summarise a company for its buyers, investors and regulators.Read the topic
- Mental health and AIThe human side of rapid AI adoption: workload, uncertainty about roles, always-on tools and the duty of care organizations hold while their teams adapt.Read the topic
- AI agents and automationWhere AI agents and workflow automation take over routine work - document handling, reconciliations, triage, reporting - and the controls that keep them safe.Read the topic

