Read this quarter’s Intermedia here
Abstract:
The twin transition is a pivotal movement for sustainable digital transformation. Artificial Intelligence (AI) plays a crucial role in this transition by enhancing operational efficiency, reducing emissions, and supporting renewable energy integration within the communications industry. However, the adoption of AI also presents challenges, including significant energy demands, high costs, and increased pressure on data infrastructure.
While national and global policies drive and support the twin transition, there are notable gaps in policy coherence and a lack of clear, measurable targets. These policy gaps across regions and sectors hinder the effective implementation of strategies, leading to inefficiencies and fragmented efforts that fail to fully exploit AI's potential in driving the twin transition.
The essay advocates for the adoption of multi-stakeholder approach to the twin transition to address these challenges. By involving governments, the telecommunications industry, civil society, and the technical community in policy development and implementation, a more balanced, inclusive, effective and unified framework can be established.
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