As artificial intelligence is increasingly integrated into human resources and learning technology systems, HR leaders face a new sustainability challenge: how to achieve digital transformation while meeting ESG commitments.
It can feel like a tough road to navigate, full of twists and turns, roadblocks, and potholes. However, the answer may be simpler than it seems at first glance.
Understanding the impact of AI on ESG
One of the most pressing concerns about AI is its environmental footprint. While it is difficult to precisely quantify the energy, water and emissions associated with the development and deployment of AI systems, a growing body of evidence paints a rather bleak picture. A recent article estimates that by 2025, AI-related water consumption will exceed global demand for bottled water and carbon emissions were equivalent to those of New York City. Experts also predict that data center emissions could double by 2030.
Learn more: The hidden problem of AI sustainability
For organizations integrating AI solutions into their daily operations, as most now do, this represents a potentially significant indirect carbon footprint. For HR teams, create initiatives and policies that support responsible and innovative adoption of AI, as well as awareness and alignment on: sustainability goals is a challenge for 2026 and beyond.
Practical steps to integrate sustainable AI practices
So how do HR leaders deal with the paradoxical responsibility of driving technological innovation while maintaining ESG integrity? Here are some practical, actionable steps that can help ensure AI is responsibly integrated within an organization.
1. Create cross-functional working groups
Don’t leave AI decisions to one department. Collaborate with Procurement, IT, Legal and ESG teams to ensure AI solutions align with organizational needs as well as sustainability goals.
2. Evaluate AI Vendors’ Responsible Practices
When selecting new technology partners, evaluate environmental impact as well as cost, security and functionality. Ask potential vendors about the energy efficiency of their AI models, the operation of their data center, and the use of renewable energy. Learn about the optimization techniques they use to reduce energy consumption and request additional data such as ESG metrics, sustainability reports, or third-party certifications. Prioritize suppliers who demonstrate true responsibility and long-term alignment with your ESG goals.
Learn more: Cover story: AI risks and dangers
3. Embed sustainable use of AI into your company culture
Think of responsible AI adoption as a cultural shift rather than just a technological one. While many people understand the benefits of AI, far fewer are aware of its environmental impact. Educate employees on these implications and establish clear internal guidelines describing appropriate use of AIincluding when it becomes excessive or unnecessary. Awareness campaigns and internal communications will help build trust, encourage conscious engagement, and foster a culture of ethical adoption of AI.
4. Review and remove outdated tools
Regularly audit existing AI tools and platforms against updated ESG criteria. Remove or replace solutions that no longer correspond to sustainable development objectives or operational needs.
5. Mitigate unavoidable emissions
When energy use and emissions cannot be completely avoided, offset the impact through carbon reduction initiatives or investments in renewable energy.
Learn more: Four lessons on the ethical use of AI in recruiting
Balancing innovation and ESG objectives
HR leaders who balance innovation and ESG commitments have a challenging role to play, both as pioneers and protectors, exploring new territories while preserving organizational values. To navigate the journey with confidence and turn these obstacles into course corrections, it is essential to integrate sustainability considerations at every stage of the transformation process, from procurement and deployment to training and governance.
By Veronica Hannon, Founder and CEO of Transform Comms