AI-related electricity consumption is driving rising energy demand, exacerbating infrastructure strain, and introducing new vulnerabilities to cyberattacks and data security. Ultimately, the net impact of AI on the global energy system depends on how the sector manages these trade-offs as adoption accelerates.
Creating a pragmatic path toward an AI-optimised global energy system requires strategic investment in energy-efficient AI technologies and infrastructure, collaborative cross-sector knowledge sharing, robust cybersecurity frameworks, skills-centric workforce development programmes, and a continuous improvement mindset across the global energy ecosystem.