Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla

In this episode, Sam speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially as audiences increasingly interact with information through AI. The conversation explores how the Post is experimenting with personalized AI podcasts, AI-powered research tools for journalists, and conversational news experiences that help readers understand not just what happened but why it matters and how it connects to other world events. Behind the scenes, the Post is deploying artificial intelligence across the entire organization, and Vineet shares details about the organization’s “AI everywhere” philosophy. Read the episode transcript here. Guest bio: Vineet Khosla, chief technology officer at The Washington Post, is a renowned AI engineer whose career has been marked by groundbreaking achievements. Before joining the Post in 2023, Khosla created Uber’s global maps routing system with cutting-edge AI tools. He was the first engineering hire for Siri’s natural language engine, and as a senior AI engineer with Apple, he played a central role in developing the core natural language understanding engine and the architectural framework that allowed the virtual assistant to operate on devices.  Khosla has been working with AI since 2005 and is the holder of two patents and multiple white papers published on the subject. He earned a master’s in artificial intelligence at the University of Georgia and a bachelor’s in computer science at Pittsburg State University. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.