Generative AI is not only impacting how travel is bought and sold as we heard in Part 1 of our AI Effect series, it’s also impacting how companies are building and delivering the travel services that are bought and sold.

Companies used to stockpile servers, engineers and access to bandwidth, all of which required considerable capital. In this new AI era, anyone can use Replit or Lovable to spin up their own travel app in a matter of hours. Companies no longer need teams of expensive engineers to code up a new application — the just need a Cursor subscription and a few developers with some free time to vibe code. Legacy infrastructure is getting deprecated in favor of AI-based solutions that didn’t exist a few months ago.

So what does the enterprise tech stack look in this era of AI? Is it proving to be more cost-effective than the legacy platforms our industry was built on? Is it unlocking opportunity for startups with fresh ideas to take share from incumbents? Or is it enabling the incumbents to finally catch up to startups in terms of speed of innovation? Or is it a combination (or collaboration) of both?

Follows

Gilad Berenstein – host

Cara Whitehill - host

Josh Dow — guest

SJ Sawhney — guest

Go Deeper

From Prompts To Products: The Business Of No-Code AI Is Booming - Forbes [$]
McKinsey Technology Trends Outlook 2025 - McKinsey & Company
This Week in Lessons from (Technical) Founders - Gilad Berenstein
Building the Foundation for Agentic AI - Bain & Company
Agentic AI in the enterprise: An evolution, not a revolution - Red Hat Blog

Agentic AI (Part 2): The Emerging AI Tech Stack