---
title: "Honeywell-MIT analysis sees AI cutting oil fuel production costs by USD 225 billion a year by 2050"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/290691702.md"
description: "A Honeywell-MIT analysis projects that AI-enabled digital tools could reduce global oil-based fuel production costs by USD 55 billion within five years, rising to USD 225 billion annually by 2050. LNG production costs are expected to fall by USD 15 billion in five years and reach USD 80 billion savings by 2050. Consequently, U.S. and global LNG prices are projected to drop 1.1% and 4.5% respectively by 2050, driven by efficiency gains in existing infrastructure."
datetime: "2026-06-24T12:03:16.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/290691702.md)
  - [en](https://longbridge.com/en/news/290691702.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/290691702.md)
---

# Honeywell-MIT analysis sees AI cutting oil fuel production costs by USD 225 billion a year by 2050

-   Honeywell-MIT analysis estimates AI-enabled digital tools could cut global annual oil-based fuel production costs by USD 55 billion within five years. \* Modeling projects oil-based fuel savings rising to USD 225 billion a year by 2050, driven by efficiency gains across existing infrastructure. \* LNG production costs seen falling USD 15 billion annually after five years of AI deployment, reaching USD 80 billion a year by 2050. \* U.S. LNG prices projected to drop 1.1% by 2050; global LNG prices projected to decline 4.5% under broad adoption. \* Report frames near-term supply gains around upgrading current assets, on-site generation, and energy storage to manage peak demand. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Honeywell International Incorporation published the original content used to generate this news brief via PR Newswire (Ref. ID: 202606240801PR\_NEWS\_USPR\_\_\_\_\_NY90686) on June 24, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)

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