What happened
The first thematic cluster asked not whether AI matters but how its benefits actually reach people. Co-chair Rashid Khan framed the whole dialogue around a builder’s test (“create more value than you capture”) and argued the gap today “is not the gap of ambition or principles, it is the gap of practical mechanisms.” Gabon’s Minister Doumba pressed the case for “big AI to smaller AI” adapted to local realities: “more for everyone, not more for fewer people.”
The environment, moved out of the footnotes
Co-led by UNEP, the session put AI’s environmental footprint at the centre rather than the margins. UNEP’s message: measure the full end-to-end footprint (critical minerals, manufacturing, water, electricity, e-waste and rebound effects) “through shared methods and transparent metrics, not slogans.” And a line that reframes the debate for developing economies: “sustainable AI is also affordable AI”. Lean models, efficient infrastructure and frugal applications are as much about access as about emissions. UNEP pointed to the UN Environment Assembly’s resolution on the environmental sustainability of AI as the mandate it is now taking forward.
Estonia’s “AI Leap”: the worked example
In a fireside with ITU’s Doreen Bogdan-Martin, Estonia’s President Alar Karis offered the session’s most concrete case. His refrain: the goal is not to use AI “first and fast, but to use it wisely.” Estonia’s AI Leap is education-first: train teachers first, then upper-secondary students, with a national AI-literacy target of 100,000 people and a schools platform built with OpenAI and Google that is designed to provoke thinking rather than hand over answers. Two themes recurred: trust (in Estonia, citizens own their data and can trace who accessed it) and language. A small nation must build AI that speaks its language, or lose it (Estonia secured newspaper archives back to the 19th century to give models modern Estonian). “They’re not going to take away your jobs,” he said of AI tools; “they just leave more time… for smart things.”
The panel
Mary Robinson, former President of Ireland and former UN High Commissioner for Human Rights, opened the panel on AI for inclusive development and societal impact. Across the discussion the cluster examined AI through five interlocking lenses (social, economic, cultural/linguistic, technical, and environmental) with a consistent refrain heard all day: access is not the same as benefit. A tool a country can reach but cannot inspect, adapt, or govern does not close a divide; it can deepen one.
Why it matters for the SDGs
Cluster 1 is where the dialogue met the Goals most directly. The social lens maps to SDG 3, SDG 4 and SDG 2 (health, education, agriculture); the cultural/linguistic lens to inclusion and SDG 10; and the environmental lens ties AI to SDG 7, SDG 12 and SDG 13. Estonia’s AI Leap is a reminder that the binding constraint is often human readiness (teachers, literacy, trusted institutions) more than the technology itself.
Watch & read
- UN Web TV, full recording of Thematic Cluster 1 (6 July 2026, 3h35m).
- Full Global Dialogue coverage.
Quotations are lightly edited from an automated (Otter.ai) transcript of the UN Web TV recording and should be read as close paraphrase; names and titles were reconciled to public records and reflect roles at the time.