Tech
Meta Scales Back Metaverse Ambitions as VR Industry Looks Ahead
Meta has announced cuts to its metaverse operations after years of promoting virtual reality as the future of human interaction, signaling a major shift in the company’s strategy. The start of 2026 marked what many see as the final blow for the digital worlds once hailed by Mark Zuckerberg as the next big computing platform.
At the beginning of January, Meta laid off 10 percent of staff in its Reality Labs division, primarily employees involved in metaverse development, including data engineers, software engineers, and game developers. The company’s fourth-quarter earnings confirmed the financial strain: Reality Labs posted $6.2 billion in losses in Q4 and $19.1 billion for the full year. Zuckerberg told investors that while the metaverse is no longer the primary focus, Meta will continue to develop extended reality (XR) technologies, particularly AI-integrated wearables such as its Ray-Ban smart glasses.
Experts say Meta’s retreat does not spell the end of virtual reality. George Jijiashvili, senior principal analyst at Omdia, said the metaverse failed largely because the technology was not ready to support a mainstream consumer platform. “The vision of the platform did not coincide with the technological status quo,” he explained, noting that headsets, smart glasses, and other necessary hardware have yet to mature.
Per Ola Kristensson, a professor of interactive systems engineering at the University of Cambridge, emphasized the ergonomic and practical limitations of VR. In a 2022 study, participants working in VR headsets for a full 40-hour week reported frustration, visual fatigue, and lower productivity. “It’s not ergonomic,” Kristensson said. “If you want a sip of coffee, you have to move the helmet. Small, subtle things don’t work, which makes extended use uncomfortable.”
Despite these challenges, researchers see opportunities in XR and augmented reality (AR). Kristensson noted that focusing on practical applications, such as AI-integrated AR glasses, could transform daily life. “Your glasses become your phone and an AI interface. They can project digital information into the physical world and interact with robotics,” he said.
Meta’s shift also mirrors trends in other virtual platforms. Kim Currier of the Decentraland Foundation said the decline of corporate-driven hype has allowed virtual worlds to become more community-focused. “There has been a clear shift away from corporate experimentation toward user-led activity,” she said, pointing to community events and meetups as examples of how engagement has become more genuine.
Gaming platforms like Roblox and Fortnite demonstrate that user-centric digital experiences can thrive without the spectacle of a centralized metaverse. Analysts suggest Meta’s pivot to mobile for its Horizon platform is a response to these successes. “Increasingly, our worlds are digital, more connected. People just didn’t want Meta’s 2021 version of the metaverse,” Jijiashvili said.
While Meta retreats from its original vision, experts say VR and XR technologies are likely to evolve in ways that are more practical, user-focused, and integrated with AI, opening new avenues for digital interaction beyond the high-profile metaverse experiment.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
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