Meta's VR Retreat
Meta's VR Retreat
Meta spent billions on a future that was technically impressive and practically premature. The VR headsets worked. The avatars rendered. The meetings happened. Almost nobody wanted to use them.
The Timing Problem
VR will probably be important eventually. Spatial computing has genuine advantages for certain workflows. But "eventually" does not pay the bills. Meta bet on a future that was five to ten years out and tried to pull it into the present through sheer investment.
The technology was not the problem. The use case was. People did not hate VR. They just did not need it enough to strap a headset to their face for a meeting that works fine on Zoom.
What This Teaches About AI Agents
The parallel to AI agents is direct. Agent technology exists. It works. The question is whether the use cases are ready:
- Agents that automate obvious pain points succeed because the need is immediate
- Agents that solve hypothetical future problems fail because nobody is willing to change their workflow for a marginal improvement
- Agents that require new hardware or infrastructure fail because the adoption barrier is too high
The successful AI agents are not the most technically impressive. They are the ones that solve a problem people have today, using infrastructure they already own.
Timing Over Technology
Meta built excellent VR technology for a market that was not ready. The lesson is not "VR is bad." The lesson is that timing determines adoption more than quality does. Build for today's problems with today's infrastructure.
AI agents running on existing Macs, using existing applications, solving existing workflows. That is the timing that works.
Fazm is an open source macOS AI agent. Open source on GitHub.