
This study examines how organizations’ commitments to Sustainable Development Goal 7 (clean energy) relate to their adoption of energy-efficient artificial intelligence practices. We hypothesized a negative relationship, expecting resource-allocation trade-offs to limit AI energy efficiency. Contrary to that expectation, a survey of 400 European IT managers shows that organizations committed to SDG 7 have 2.4 times higher odds of adopting energy-efficient AI practices, such as monitoring AI energy consumption and avoiding over-engineering. This effect is even more pronounced among firms that use AI to promote renewable energy, which show 2.9 times higher odds of monitoring AI energy consumption. These findings indicate that sustainability policies can positively influence energy-efficient AI adoption, highlighting the importance of strategic energy management as AI deployment scales. Overall, the results challenge common assumptions about trade-offs between SDG-aligned sustainability goals and operational efficiency in AI implementation.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
