6 Aug 2026 | Mike Boland
AWE Talks: World Models Need a World
AWE USA 2026 Enterprise

Welcome back to AWE Talks, our series that revisits the best AWE conference sessions. With AWE USA recently concluded, there's a fresh batch of stage footage to keep us occupied for weeks.

We continue this latest season of AWE Talks with one of AI's most promising technological subsets: world models. Not only do they hold immense potential, but they rely on spatial mapping and other outputs from the XR realm.

See the summarized takeaways below, along with the full session video. Stay tuned for more video highlights each week and check out the full library of conference sessions on AWE's YouTube Channel.

Speaker

Luis Oscar Ramirez, CEO, Mawari

Key Takeaways & Analysis

  • Within the fast-moving AI sector, there are several subsets of the broader movement.
  • For example, we examined Nvidia's work in Physical AI in last week's AWE Talks.
  • A related area is world models, which can simulate and train AI for physical spaces. 
    • This breaks free of web-based intelligence where most of AI has been locked up. 
    • By unleashing AI on the physical world, value creation will expand exponentially. 
  • The good news for XR is that its elements and outputs are key inputs for world models.
    • For example, spatial mapping and eye-level data can empower world models.
  • Niantic Spatial and others in the XR sector continue to lean into this principle.
  • Mawari is likewise investing in supporting tech for world models, including infrastructure.
    • Or as CEO & co-founder Luis Ramirez says, World models need a world. 
  • This remains largely unaddressed, as most tech giants are investing in hardware. 
    • But infrastructure, delivery, and content generation will be key puzzle pieces. 
  • There are a few use cases Mawari is developing to push the technology forward. 
    • One is to bring avatars into the real world, which builds on the momentous v-tuber trend. 
  • Having real-world spatial mapping data and other intelligence will branch into other use cases.
    • Opportune areas of application include consumer shopping and enterprise productivity. 
  • The goal, says Ramirez, is to turn intelligence into presence.
  • In addition to Ramirez's AWE talk, all the above will be spotlighted at Mawari's kAI Summit.
For more context and color, watch the full session below.

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