REFLECTIONS FROM AWE 2026  

At AWE 2026 in Long Beach, Ori Inbar’s opening keynote crystallized a moment many in the field have sensed for years. “I, Spatial: Humans Empowered by AI” was more than a theme.  It was a clear statement about how this community intends to navigate the convergence of XR and AI. For those of us at the XR Association (XRA), that framing aligns closely with how we have been evolving our own narrative. The conversation is no longer centered on devices and headsets, but on XR as a human intelligence layer, one designed to serve people, organizations, and society. 

Humans at the center of AI 

“Humans Empowered by AI” is fundamentally a design and governance principle. AI should extend human capability, not displace human agency. That requires keeping people in the loop, ensuring transparency and control, and preserving human judgment as the final arbiter across domains such as healthcare, education, and industrial workflows— all areas where XR and AI are increasingly intertwined. 

At XRA, we have been arguing for some time that we must and are moving beyond a narrow focus on devices toward a broader view of XR as a human-centered way to deploy AI. XR is a system of technologies, policies, and practices that must adapt to human needs and contexts. 

XR’s role in the age of AI 

A comment during one panel captured a broader industry sentiment: “It’s too bad XR hit public consciousness before AI—because now is really XR’s moment.” There is some truth to that. 

For years, XR was framed as a standalone revolution. Today, it is more accurately understood as the interface layer for AI and the means by which we perceive, contextualize, and act on machine intelligence in real time and real space. 

That shift was visible across the AWE show floor. Smart glasses, heads-up displays, input wearables, and AI-enabled interfaces were not just new form factors; they were early building blocks of continuous, ambient human–AI collaboration. 

This is precisely the territory XRA has been describing: XR not as a novelty, but as a distributed, human-scale system designed around how people live and work. 

Proof in practice 

If the keynote articulated the vision, the show demonstrated its reality across three dimensions. 

First, hardware diversity made the spatial AI ecosystem tangible. Attendees could move from lightweight wearable agents to industrial-grade headsets in a single aisle, seeing how different form factors address comfort, context, and control. 

Second, enterprise use cases were grounded and practical. The focus was on training, remote assistance, field service, simulation, and digital twins—not abstract “metaverse” concepts. This aligns with XRA’s work helping policymakers and industry leaders understand how XR integrates into real operations, with attention to safety, outcomes, and workforce impact. 

Third, the expanded presence of immersive art and storytelling added depth and drove home the humanity with which we can harness technology. Artists and researchers were not just showcasing technology, but exploring identity, agency, and emotion in environments where digital and physical realities are increasingly intertwined. 

Together, these elements reinforced a central idea: XR is not a product category. It is an ecosystem of human experiences. 

The responsibility ahead 

What stood out most in Ori’s keynote was not just momentum, but responsibility. “Humans Empowered by AI” implies a choice. We can build systems that place AI at the center, or systems that position people as protagonists and collaborators. 

At XRA, our work is grounded in that second path. Through policy engagement, best practices, and industry guidance, we have been focused on ensuring that as XR and AI converge in wearable and always-on contexts, and through the construction of the spatial internet, that we do so in ways that celebrate human creativity, capacity and opportunity.   

AWE 2026 demonstrated how far the industry has come. The task now is to ensure that the future of spatial computing and wearable AI remains aligned with a simple principle: technology should scale to humans, not the other way around.