From Paradox to Progress A Net Positive AI Energy Framework 2025

1. World Economic Forum. (2025). Artificial Intelligence’s Energy Paradox: Balancing Challenges and Opportunities. https://reports.weforum.org/docs/WEF_Artificial_Intelligences_Energy_Paradox_2025.pdf. 2. Boston Consulting Group (BCG). AI Adoption in 2024: 74% of Companies Struggle to Achieve and Scale Value. https://www.bcg.com/press/24october2024-ai-adoption-in-2024-74-of-companies-struggle-to-achieve-and-scale-value . 3. Levitt, B. (2024). AI and energy: The big picture. S&P Global. https://www.spglobal.com/en/research-insights/special- reports/look-forward/ai-and-energy. 4. International Energy Agency (IEA). (2025). Energy and AI. https://iea.blob.core.windows.net/assets/601eaec9-ba91-4623- 819b-4ded331ec9e8/EnergyandAI.pdf. 5. Wood Mackenzie. (2025). Power transformers and distribution transformers will face supply deficits of 30% and 10% in 2025. https://www.woodmac.com/press-releases/power-transformers-and-distribution-transformers-will-face-supply- deficits-of-30-and-10-in-2025/. 6. Moss, S. (2025). Crusoe begins construction on second phase of Abilene, Texas data center campus, will add six buildings. Data Center Dynamics (DCD). https://www.datacenterdynamics.com/en/news/crusoe-begins-construction-on-second- phase-of-abilene-texas-data-center-campus-will-add-six-buildings/. 7. Skidmore, Z. (2025). Natural gas plant planned for Stargate AI data center campus – report. Data Center Dynamics (DCD). https://www.datacenterdynamics.com/en/news/natural-gas-plant-planned-for-stargate-ai-data-center-campus-report/. 8. Evans, R. and J. Gao. (2016). DeepMind AI Reduces Google Data Centre Cooling Bill by 40%. Google. https://deepmind.google/discover/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-by-40/. 9. Brainbox AI. (2025). Cammeby’s International achieves 15.8% reduction in HVAC energy use and costs. https://brainboxai.com/en/case-studies/cammebys-achieves-15.8-reduction-in-hvac-energy-use-and-costs. 10. Brainbox AI. (2025). Multi-residential building reduces electricity consumption by 42% in less than 6 months. https://brainboxai.com/en/case-studies/multi-residential-building-reduces-electricity-consumption-by-42-in-less-than-6-months. 11. Christyjuliet, B, B. Dinesh Kumar, G. Divya, S. Kaviraj, et al. (2024). AI Based Smart Energy Meter for Data Analytics. International Journal of Scientific Research & Engineering Trends, vol. 10, issue 6. https://ijsret.com/wp-content/ uploads/2024/11/IJSRET_V10_issue6_617.pdf. 12. Wetselaar, M. (2024). AI in the Energy Industry. MOEVE. https://www.moeveglobal.com/en/planet-energy/sustainable- innovation/ai-an-opportunity-in-the-energy-industry. 13. Burnham, K. (2024). How artificial intelligence is transforming logistics. Massachusetts Institute of Technology (MIT). https://mitsloan.mit.edu/ideas-made-to-matter/how-artificial-intelligence-transforming-logistics . 14. Majkut, J. and L. Abrahams. (2025). AI for the Grid: Opportunities, Risks, and Safeguards. Center for Strategic & International Studies (CSIS). https://www.csis.org/analysis/ai-grid-opportunities-risks-and-safeguards. 15. Brookfield (2025). Building the Backbone of AI. https://www.brookfield.com/sites/default/files/documents/Brookfield_ Building_the_Backbone_of_AI.pdf. 16. Edison Electric Institute (EEI). (n.d.). Strengthening America’s Energy Infrastructure to Increase Reliability & Lower Costs. https://www.eei.org/-/media/Project/EEI/Documents/Issues-and-Policy/Finance-And-Tax/IndustryCapexReport.pdf. 17. International Energy Agency (IEA). (2025). Renewables 2025. https://iea.blob.core.windows.net/assets/11fa0e66-6309- 4fa7-a108-1f29da2707bc/Renewables2025.pdf. 18. Zimmerman, L. (2025). Confronting the AI/energy conundrum. MIT Energy Initiative. https://energy.mit.edu/news/ confronting-the-ai-energy-conundrum/?utm. 19. Diab, R. (2025). Jevons Paradox Makes Regulating AI Sustainability Imperative. Tech Policy Press. https://www.techpolicy. press/jevons-paradox-makes-regulating-ai-sustainability-imperative/. 20. Loughborough Business School. (2024). Loughborough experts shine a light on the climate change impact of dark data. https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/news/climate-change-impact-of-dark-data/ . 21. Hawkins, Z. J., V. Lehdonvirta and B. Wu. (2025). AI Compute Sovereignty: Infrastructure Control Across Territories, Cloud Providers, and Accelerators. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5312977. 22. Makala, B. and T. Bakovic. (2020). Artificial Intelligence in the Power Sector. International Finance Corporation (IFC). https://www.ifc.org/content/dam/ifc/doc/mgrt/emcompass-note-81-05-web.pdf. 23. Evans, R. and J. Gao. (2016). DeepMind AI Reduces Google Data Centre Cooling Bill by 40%. https://deepmind.google/ discover/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-by-40/. 24. Brainbox AI. (2025). Cammeby’s International achieves 15.8% reduction in HVAC energy use and costs. https://brainboxai.com/en/case-studies/cammebys-achieves-15.8-reduction-in-hvac-energy-use-and-costs. 25. Brainbox AI. (2025). Multi-residential building reduces electricity consumption by 42% in less than 6 months. https://brainboxai.com/en/case-studies/multi-residential-building-reduces-electricity-consumption-by-42-in-less-than-6-months. 26. Pacific Northwest National Laboratory (PNNL). (2024). PermitAI. https://www.pnnl.gov/projects/permitai.Endnotes From Paradox to Progress: A Net-Positive AI Energy Framework 36