Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Md. Monirul Islam, Muhammad Shahbaz and Faroque Ahmed

Technological Forecasting and Social Change, 2024, vol. 205, issue C

Abstract: The rapidly evolving technological landscape, fuelled by AI, has become a global focal point, while optimized robotic energy consumption offers significant productivity gains for tech companies. However, AI-driven industries are susceptible to the geopolitical risks, affecting their outputs. This study examines the disaggregated energy consumption of AI-driven tech companies' industrial outputs in the most robot density country, Singapore during July 2010–March 2021. The partial cross-quantilogram approach-based findings reveal a significantly positive spillover effect of both renewable and non-renewable energy consumption on AI-driven tech industrial outputs in all quantiles (q.10-q.90) under long memory, where geopolitical risk ‘threats’ and ‘acts’, negatively impact these industrial outputs and renewable and non-renewable energy-augmented tech industrial outputs mirrored by AI in the upper quantiles (q.60-q.90) under booming market conditions. The study's findings are robust using the wavelet local multiple correlation technique. The policy implications emphasize optimizing AI utilization in energy consumption for enhanced tech company productivity and addressing geopolitical risks effectively.

Keywords: Artificial intelligence; AI-powered tech industrial output; Renewable energy consumption; Non-renewable energy consumption; Geopolitical risks; Singapore (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:205:y:2024:i:c:s0040162524003196

DOI: 10.1016/j.techfore.2024.123523

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