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May 28, 2026

What are experts saying on what spatial computing looks like in the next 2-5 years?

15 episodes11 podcastsMay 27, 2025 – May 24, 2026
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Within the next two to five years, the spatial computing landscape will be defined by a race to establish a dominant hardware form factor and a symbiotic relationship with artificial intelligence. A leading vision, articulated by Snap's Evan Spiegel, posits that lightweight, sunglass-like augmented reality glasses will emerge as the next primary computing interface [1, 10]. This approach, backed by a **12-year investment** and vertical integration of key components, aims to combine the wearability of normal glasses with the power of a spatial computer like the Apple Vision Pro, directly contrasting with what is described as a "road to nowhere" with bulky VR headsets [2, 4, 10]. Snap plans to release its Spectacles to consumers in 2026, marking a significant step in this direction [6, 21]. The market is expected to be fragmented, with success depending not just on hardware specifications but also on ecosystem integration and fashion partnerships .

The initial adoption of AR glasses is predicted to be driven by productivity and large-screen replacement rather than entertainment. Experts anticipate that use cases for **TVs and desktop displays** will be the first to transition to AR, effectively bringing the power of a multi-monitor setup to a mobile form factor [7, 13, 29]. This shift is intended to overcome the single-app limitation of smartphones, enabling powerful on-the-go multitasking . While millions of people are expected to be trying AR/XR glasses by 2026, they are not projected to become as mainstream as smartphones within this immediate timeframe . The core value proposition is a move from isolated, single-player computing on phones and laptops to shared, collaborative experiences where multiple users can interact with the same digital objects overlaid on the real world [1, 12].

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Artificial intelligence is viewed as the primary catalyst that will accelerate AR adoption. The paradigm of work is expected to shift from manual operation to monitoring AI agents, making a persistent, portable workstation more valuable [18, 19]. This aligns with broader predictions that every knowledge worker will have a personal AI agent within **three to five years** and that AI environments will become the primary operating system for work [26, 27]. AR glasses are positioned as the ideal hardware for this future, enabling tasks like AI-assisted on-the-job training and real-world problem-solving . This new platform will be populated by a wave of new applications, with some experts believing that 99% of the software the world needs will be built in the next five years, largely driven by AI's new capabilities .

Despite the momentum behind AR glasses, a significant strategic tension exists regarding the future of the computing interface. While one camp champions a new hardware form factor to unlock spatial computing's potential, a contrarian view holds that the industry's focus on screenless or new-form-factor devices is misguided [10, 25]. This alternative perspective argues that the true next-generation platform will be the smartphone, but with a revolutionary, **AI-first operating system** that deeply integrates local model execution and personalization at its core, rather than as an application layer . This disagreement highlights a fundamental debate: whether the next leap in computing will be driven by a new physical interface that brings digital content into our world, or by a profound software and AI-based reimagining of the devices we already carry.

What the sources say

Points of agreement

  • AR glasses are positioned as the next major computing platform, intended to eventually replace smartphones and large screens like TVs and monitors.
  • AI is expected to be a key driver for AR adoption by shifting the primary use case from entertainment to productivity and managing AI agents.
  • The market for AR glasses is poised for near-term growth, with major companies like Snap launching consumer products and millions of users expected to try the technology soon.

Points of disagreement

  • While Evan Spiegel champions lightweight AR glasses as the next platform, an alternative view suggests the smartphone will remain the key device but with a revolutionary AI-first operating system.
  • Experts offer different visions for the primary work interface: some see it as AR glasses for real-world tasks, while others predict it will be AI environments on traditional computers.
  • Snap is pursuing a vertically integrated hardware strategy for its Spectacles, while other analysis suggests the market will be fragmented with success depending on ecosystem and fashion, not just hardware specs.

Sources

A Cheeky PintAPR 27, 2026

What comes after smartphones, with Evan Spiegel of Snap

Evan Spiegel details Snap's strategy for its Spectacles AR glasses, which are launching to consumers this year as the next computing platform intended to replace large screens.

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GritDEC 15, 2025

How Snap Plans to Win the AR Race | Evan Spiegel on Spectacles

Evan Spiegel contrasts Snap's long-term, focused strategy on lightweight AR glasses with competitors' pursuit of bulky VR headsets.

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GritDEC 29, 2025

The Grittiest Conversations of 2025: AI, Business & Beyond

Evan Spiegel posits that AI will accelerate AR glasses adoption by shifting their primary use case from entertainment to powerful, mobile productivity.

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a16z PodcastNOV 5, 2025

Seeing The Future from AI Companions to Personal Software

This source argues the next-generation platform will be a smartphone with a deeply integrated, AI-first operating system, not a new hardware form factor.

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DecoderMAY 27, 2025

Google CEO Sundar Pichai on the future of search, AI agents, and selling Chrome

Sundar Pichai predicts that millions of people will be trying AR/XR glasses by next year, signaling near-term market growth.

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Lenny's PodcastFEB 15, 2026

How to be a CEO when AI breaks all the old playbooks | Sequoia CEO Coach Brian Halligan

Brian Halligan predicts that every knowledge worker will have a personal AI agent within the next three to five years.

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