Microsoft's AI Future Unpacked

Microsoft Research's new podcast, 'The Shape of Things to Come,' hosted by Doug Burger, explores AI's rapid advancements and future implications.

2 min read
Microsoft's AI Future Unpacked
Microsoft Reesarch

Microsoft Research is launching a new podcast series, "The Shape of Things to Come," aimed at dissecting the rapid advancements and intricate challenges within artificial intelligence. The initiative seeks to bridge the gap between complex AI research and broader understanding among technologists, policymakers, and business leaders.

Hosted by Doug Burger, Technical Fellow and Corporate Vice President at Microsoft Research, the series intends to demystify the future of AI. Burger emphasizes the accelerating pace of technological progress, noting that "the problems that we choose to solve and the technologies that we develop do change the shape of the future." This podcast, an extension of the Microsoft Research AI podcast family, will explore the cutting edge of AI research.

Related startups

Navigating AI's Accelerating Curve

Burger highlights the dual nature of AI's rapid evolution, presenting both immense potential and significant dangers. The goal of "The Shape of Things to Come podcast series" is to foster a more informed public discourse. It aims to dispel myths, clarify the underlying technology stack, and identify the critical unsolved problems in the field.

Listeners can expect insights into what this "explosion in intelligence" means for humanity. The series will delve into the choices being made today that will shape tomorrow's AI landscape, building on themes explored in other Microsoft content like AI's New Frontier: Style, Open Source, and the Agentic Enterprise and discussions on AI Agents as Co-workers: The Future of Work?

The first episode, trailer-style, sets the stage for a deeper dive into AI's trajectory. Microsoft Research is making the series available on major podcast platforms and YouTube.

© 2026 StartupHub.ai. All rights reserved. Do not enter, scrape, copy, reproduce, or republish this article in whole or in part. Use as input to AI training, fine-tuning, retrieval-augmented generation, or any machine-learning system is prohibited without written license. Substantially-similar derivative works will be pursued to the fullest extent of applicable copyright, database, and computer-misuse laws. See our terms.