Southwest Airlines Selects AWS to Build Cloud Based AI Architecture by 2028

Jun 18, 2026
Southwest Airlines has chosen Amazon Web Services as its preferred cloud provider, planning to move from on-premises systems to a cloud based, AI and agent enabled architecture by 2028.

Southwest Airlines has chosen Amazon Web Services as its preferred cloud provider to modernize its technology and expand its use of artificial intelligence. The partnership was announced in a press release stating that Southwest plans to move from on-premises systems to a cloud based, AI and agent enabled architecture on AWS by 2028.

The airline will use AWS tools such as Amazon Quick and the agentic coding service Kiro. Kiro is being deployed to refactor legacy code for Southwest.com, a key customer facing platform. More than 2,700 developers are using Kiro to automate testing, generate cloud infrastructure, and accelerate the modernization of existing systems.

AWS’s AI Driven Development Lifecycle is also being adopted across Southwest to change how software is built. This approach combines AI agents with engineering oversight to streamline development and speed up delivery across the company’s operations, customer experience, and internal systems.

We hope you enjoyed this article

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

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

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