Our Managing Partner, Ayisha Piotti, took part in an important discussion in Geneva at the IEEE–International Telecommunication Union Symposium on Achieving a Sustainable Climate on what a responsible, implementable AI roadmap should look like.
AI is advancing at extraordinary speed; the question is whether governance will keep pace—or whether we will repeat the pattern seen in climate policy: delayed action, fragmented standards, and costs that arrive too late. A clear message emerged: we do not need to reinvent the wheel; we need to adapt the vehicle.
The sustainability movement offers a practical blueprint for AI governance built on four pillars:
- Research & Standards — grounding innovation in evidence and shared technical benchmarks
- Policy & Regulation — creating clear, workable guardrails for deployment
- Education & Skills — ensuring people and institutions can adopt AI safely and fairly
- Finance & Trade — mobilising capital and market incentives for responsible scaling
When these pillars align, impact becomes measurable: data becomes comparable, standards become interoperable, and collaboration is built into implementation not added later.
We are grateful to Saifur Rahman and the IEEE community for the invitation, and to the ITU team for hosting such a timely exchange; as we look ahead to 2026, the priority is to translate these climate learnings into AI policy that is swift, just, and feasible.