EnterpriseDB calls for data governance as AI energy demands rise

Sep 26, 2026
EnterpriseDB called for energy efficiency and data governance to be built into infrastructure for autonomous AI systems. Its survey found that 69% of respondents now give energy greater consideration when choosing data and AI platforms.

EnterpriseDB called for energy efficiency and data governance to be built into agentic AI infrastructure at the United Nations Global Compact Leaders Summit, the company said in a press release. EDB said autonomous AI systems need governance at the data layer to keep information controlled, trusted and sovereign.

An EDB survey of 300 respondents found that 69% give energy more consideration than a year ago when selecting data and AI platforms. Reliability of supply ranked at 49%, while cost and energy efficiency each ranked at 48%.

EDB said its Postgres AI platform reduces compute use, consolidates workloads and limits data movement. Company benchmarks found token consumption reductions of up to 57% for one customer. An independent analysis of three larger customers operating more than 120 data centers found up to 94% fewer compute cores and expected emissions reductions of up to 87% in one case.

The company is also developing a carbon calculator and offers a public Efficiency Calculator. EDB Postgres AI is currently used in production by about 1,700 customers worldwide.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.