Episode

Are These Apple’s Next Products?

Podcast
Waveform: The MKBHD Podcast
Published
May 1, 2026
Duration seconds
5845
Processing state
processed
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Audio
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Markdown
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Summary

The crew analyzes recent leaks regarding Apple's upcoming hardware lineup and Samsung's entry into the smart glasses market. The discussion explores the competitive landscape of AI-integrated wearables and the strategic moves of Google and OpenAI.

Topics

  • Apple
  • Samsung
  • Smart Glasses
  • Artificial Intelligence
  • Wearable Technology
  • Google
  • iPhone
  • Tech Leaks

Highlights

  • Main idea: Apple's upcoming hardware strategy may include a high-end 'Ultra' iPhone and new product categories
  • Failure mode: The potential for 'smart glasses' to become a failed product category if they lack a clear utility beyond existing wearables
  • Practical takeaway: Samsung's smart glasses leak suggests a focus on dual-camera setups for depth and stereoscopic video
  • Main idea: The competition between Google and Samsung in the smart glasses space will likely hinge on ecosystem integration
  • Failure mode: Relying on AI pendants or wearables could lead to a decline in human short-term memory and situational awareness

Chapters

  1. 1:05 Intro and Nostalgia: The hosts open with a brief nostalgic moment regarding early 2010s music before diving into the week's tech news.
  2. 16:05 Apple's Hardware Roadmap: Discussion on Mark Gurman's reports regarding Apple's new product categories and the potential for an 'Ultra' iPhone.
  3. 23:30 The Future of Wearables: A debate on the viability of Apple's potential wearable products and the risks of following the 'smart glasses' trend.
  4. 46:25 Samsung Smart Glasses Leak: Analyzing the leaked renders of Samsung's upcoming AI-powered smart glasses and their camera configurations.
  5. 54:10 Ecosystem and Brand Strategy: Comparing how companies like Spotify and Samsung use sub-brands and ecosystem features to capture different market segments.
  6. 1:09:30 The AI Hardware Race: Exploring the necessity of launching AI-driven products early to gather the training data required for true utility.
  7. 1:24:55 Google's Product Fragmentation: A critique of Google's history of fragmented product naming and service iterations.