{"@type":"StructuredNewsArticle","access":{"license":"neupai_standard","structured_data":"free","full_text_access":null,"full_text_available":false,"attribution_required":true},"content":{"claims":[{"id":"c1","type":"estimate","as_of":"2035","figures":null,"insight":null,"as_of_raw":"by 2035","statement":"AI could drive annual CO₂ reduction of 1.4 billion tons by 2035","comparison":null,"expiry_hint":null,"source_type":"research_paper","as_of_explicit":true},{"id":"c2","type":"estimate","as_of":"2026","figures":null,"insight":null,"as_of_raw":"2026","statement":"Widespread adoption of AI in three sectors - energy, transport, and food - could reduce up to 5.4 billion tons of greenhouse gases annually","comparison":null,"expiry_hint":null,"source_type":"research_paper","as_of_explicit":false},{"id":"c3","type":"fact","as_of":"2026","figures":null,"insight":null,"as_of_raw":"2026","statement":"This corresponds to approximately 8-10% of global greenhouse gas 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