In February 2026, Meta made two announcements that surprised the enterprise technology market. It ceased commercial sales of its Quest devices and shut down Horizon Workrooms — the product it had spent years positioning as the future of remote collaboration. The move followed a 30% budget cut at Reality Labs and a strategic retreat from business applications back toward the consumer segment.
The reaction from enterprise buyers was not panic. It was a shrug, followed by a look at alternatives. Because the case for VR in workforce training was never about Meta. It was about the outcomes — and those have become undeniable.
The Numbers That Did Not Change When Meta Left
Shell cut training costs by 30% after deploying VR for safety programs. Toyota Material Handling trained over 10,000 employees and saved more than $1.5 million annually through VR. Across enterprise deployments tracked in 2026, companies report a 75% reduction in training time and a 40% performance improvement among trained workers versus those who went through traditional formats.
These results were not produced by Meta hardware specifically. They were produced by immersive simulation — the ability to put a worker inside a situation, let them make mistakes without real-world consequences, and repeat until the skill is internalized. The hardware that delivers that experience can come from anywhere.
Pico Is the Obvious Beneficiary
Pico — owned by ByteDance — has been quietly building the enterprise infrastructure Meta claimed to be building. Its Business Device Manager handles mass enrollment, remote monitoring, and fleet management across thousands of devices. Its Business Suite gives IT teams the control layer they need before any device escapes the pilot stage.
The deployment numbers reflect it: Pico has placed over 20,000 headsets into 200 school districts across the US in partnership with Prisms VR, and reached more than 175 hospitals across Europe through SyncVR. These are not pilots. These are operational deployments at institutional scale.
In 2026, Pico is launching a next-generation headset built around a self-developed dedicated chip — targeting 12 millisecond system latency, which effectively eliminates the motion sickness that has been the most consistent adoption barrier in sensitive environments like healthcare and precision manufacturing. For enterprise buyers who walked away from VR because of comfort issues, this changes the calculus.
Hardware Costs Fell 80%
Five years ago, deploying a VR training program required dedicated rooms, tethered headsets, and specialized IT support. Standalone headsets now start around $500 with no PC required, no cables, and no dedicated space. Hardware cost across the enterprise segment has dropped 80% from where it stood at the start of the decade.
That price movement changes the math for any organization running training at scale. A cohort of 100 employees that previously required a dedicated VR lab to process can now be handled with a fleet of portable devices deployed across locations — or shipped to workers directly.
AI Cuts Content Creation from Months to Hours
The other structural shift is on the content side. Building a VR training module historically required specialized 3D artists, instructional designers, and months of production time. Generative AI has collapsed that timeline. Enterprise platforms now allow training managers to describe a scenario in natural language and receive a functional simulation in hours. Non-technical professionals are creating and updating their own training content without engineering support.
The combination — affordable hardware, fast content creation, and proven ROI — is why enterprise VR adoption is accelerating even as its most prominent advocate steps back. The technology graduated from the Meta era. It no longer needs a single company to carry it.
What This Means for Regional Markets
For Central Asian enterprises — mining, metallurgy, oil and gas, manufacturing — the timing is favorable. The price barrier is lower than it has ever been. The content creation barrier has collapsed. And the vacuum left by Meta's exit creates openings in distribution and implementation that did not exist twelve months ago.
VARDIX is building the capability to deliver enterprise VR training solutions in this market — hardware, platforms, content, and implementation — as one package. If your organization is evaluating what VR training looks like at scale, we are ready to have that conversation.