Metaverse’s decline and the harsh limits of a virtual future

In 2019, Facebook CEO Mark Zuckerberg announced Facebook Horizon, a VR social experience that allows users to interact, create custom avatars, and design virtual spaces. Zuckerberg saw the platform, later renamed Horizon Worlds, as the beginning of a new era of VR social networks, with users trading face-to-face interactions for digital ones.

To show his confidence in VR, Zuckerberg rebranded Facebook Inc. as Meta Platforms Inc. in October 2021, illustrating the company’s shift toward the metaverse as a broad virtual environment intended to integrate social interaction, work, commerce, and entertainment. Building on this new vision, Meta’s ambitions expanded beyond social interaction and entertainment, with the development roadmap including virtual real estate purchases and collaboration in virtual co-working spaces.

Fast forward to 17 March 2026, and the scale of Meta’s retreat from the metaverse vision has become unmistakable. In an official update, the company said it was ‘separating’ VR from Horizon so that each platform could grow with greater focus, while also making Horizon Worlds a mobile-only experience. Under the plan, Horizon Worlds and Events would disappear from the Quest Store by 31 March 2026, several flagship worlds would no longer be available in VR, and the Horizon Worlds app itself would be removed from Quest on 15 June 2026, ending VR access to Worlds altogether.

Yet Meta soon reversed part of the decision. In an Instagram Stories Q&A, CTO Andrew Bosworth said Horizon Worlds would remain available in VR after user backlash. Even so, the greater shift remained unchanged: Horizon Worlds was no longer a flagship VR project, but a much narrower product that reflected a clear contraction of Meta’s original metaverse ambition.

As it stands, Meta’s USD 80 billion investment seems less like a gateway to a new socio-technological era and more like one of the most expensive strategic miscalculations of the 21st century. The sunsetting of Horizon Worlds was certainly not a decision made on a whim, which begs the question: Why did the metaverse fail in the first place? Does it have a future in the AI landscape, and what does its retreat say about the politics of designing the future through corporate platforms?

Metaverse’s mainstream collapse

The most obvious reason for the metaverse’s failure was that it never became a mainstream social space. Meta’s strategy rested on the belief that large numbers of people would start using immersive virtual worlds as a normal setting for interaction, entertainment, and creative activity. The shift never happened at the scale needed to sustain the company’s ambitions.

One reason was friction. VR headsets were less practical than phones, more isolating than social media, and harder to integrate into everyday routines than the platforms people already used to communicate. Entering the virtual world required extra time, extra hardware, and openness to adapt to a different social environment. Most digital habits, however, are built around speed, familiarity, and ease of access.

Meta’s own March 2026 decision makes that failure difficult to deny. A company still convinced that immersive social VR was on its way to becoming mainstream would not have moved Horizon Worlds away from Quest and towards mobile. The shift suggested that the metaverse had failed to move from technological promise to everyday social practice.

Metaverse’s failure was not just one of convenience. It also struggled because it was never presented simply as a new digital space. It was framed as a future built largely on Meta’s own terms, with access tied to the company’s hardware, platforms, rules, and wider ecosystem. Such decisions made the metaverse feel less like an open evolution of the internet and more like a tightly managed corporate environment.

The distinction mattered because Meta was not merely launching another product. It was promoting a vision of how people might one day work, socialise, shop, and create online. Yet the more expansive that vision became, the more obvious it was that the system behind it remained closed and centralised. A future digital environment is harder to embrace when a single company controls the devices, spaces, distribution, and boundaries of participation.

Meta’s handling of Horizon Worlds clearly exposed that tension. The company could remove features, reshape access, alter incentives, and redirect the platform from the top down. Such a level of control may be standard for a private platform, but it sits uneasily with claims about building the next phase of digital life. In that sense, the metaverse failed not only because people were unconvinced by VR, but because its version of the future felt too corporate, too enclosed, and too disconnected from the openness people still associate with the internet.

Metaverse’s economic contradiction

The metaverse did not fail only as a social project. It also became increasingly difficult to justify on economic grounds. Meta spent heavily on Reality Labs while generating only limited returns from those investments. In its 2025 annual filing, the company said Reality Labs had reduced overall operating profit by around USD 19.19 billion for the year, while warning that similar losses would continue into 2026.

Losses on that scale might still have been acceptable if the metaverse had shown clear signs of momentum. However, there was little evidence of mass adoption, strong retention, or a durable path to monetisation. Virtual land, digital goods, branded experiences, and immersive workspaces never developed into the economic base of a new internet layer.

Instead, the metaverse began to look less like a future growth engine and more like a costly experiment with uncertain returns. The gap between spending and payoff became harder to ignore, especially as Meta continued to frame the metaverse as a long-term strategic priority. What used to be sold as the company’s next major frontier was increasingly difficult to justify in commercial terms.

The broader strategic context also changed. Meta’s own forward-looking statements pointed to increased hiring and spending in 2026, especially in AI. In practice, this meant the company was no longer choosing between the metaverse and inactivity, but between two competing visions of the future. AI was already delivering tangible gains in product development, infrastructure, and investor confidence.

In that competition for attention and capital, the metaverse lost. Meta’s pullback was also not an isolated case. Microsoft moved away from metaverse-first ambitions as well, retiring the Immersive space (3D) view in Teams meetings, Microsoft Mesh on the web, and Mesh apps for PC and Quest in December 2025. The services were replaced by immersive events in Teams, a narrower offering built around specific workplace functions rather than a broad metaverse vision.

The wider retreat matters because it suggests the problem was not limited to Meta’s execution. Another major tech company also stepped back from standalone immersive environments and turned to more limited, use-specific tools instead. A larger pattern appeared from that shift: grand metaverse narratives gave way to practical features, embedded tools, and industry-specific uses. In that sense, the metaverse has not entirely disappeared, but it did lose its status as the next internet.

Metaverse’s afterlife in the age of AI

The metaverse’s decline does not necessarily imply a complete disappearance. What seems more likely is that parts of it will survive in altered form, detached from the sweeping vision that once surrounded it. Rather than continuing as a standalone digital world meant to transform social life, the metaverse may persist as a set of tools, features, and immersive functions folded into other technologies.

AI is likely to play a role in that transition. It can lower the cost of building virtual environments, speed up avatar creation, automate elements of interaction design, and make digital spaces more responsive. In this sense, AI may succeed where the original metaverse struggled, not by reviving the same vision, but by making parts of it more practical and easier to use.

Such a distinction is important because it shifts the focus from ideology to utility. The metaverse was once marketed as the next stage of the internet, yet its more durable applications now appear to lie in narrower settings where immersion serves a clear purpose. Training, design, simulation, and industrial planning are all contexts in which virtual environments can offer measurable value without becoming a universal social destination.

What might survive, then, is not the metaverse as it was originally imagined, but a smaller set of immersive capabilities embedded in gaming, education, industry, and workplace systems. Avatars, digital agents, simulations, and adaptive virtual spaces may all remain relevant, but as components rather than the foundation of a new social order.

The shift also helps explain the political lesson of the metaverse’s collapse. Large-scale investment, aggressive branding, and executive certainty were not enough to secure public legitimacy. Meta tried to present the metaverse as an inevitable horizon, yet users did not embrace it, markets did not reward it in proportion to the spending, and the company itself eventually narrowed the project it had once elevated into a corporate identity.

In that sense, the metaverse matters even in failure. Its retreat does not simply mark the end of an overhyped product cycle. It also reveals the limits of top-down corporate future-making, especially when private platforms try to define the direction of collective digital life before society has decided whether such a future is either desirable or necessary.

Conclusion

The metaverse failed because it asked too much of users, promised too much to investors, and concentrated too much power in a platform model that never convincingly earned public trust. Meta’s retreat from Horizon Worlds makes that failure difficult to ignore, while Microsoft’s parallel narrowing of immersive ambitions suggests the problem extended beyond one company’s misjudgement.

Immersive VR technologies are unlikely to vanish, and AI may even extend some of their useful applications. Yet the metaverse as a universal social future has largely collapsed under the combined weight of weak adoption, unsustainable economics, and an overly corporate vision of digital life. What remains is not the next internet, but a reminder that the future cannot simply be declared into existence by the companies most eager to own it.

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Dutch court bans harmful Grok AI-generated images

A judge in Amsterdam has ordered AI chatbot Grok and platform X to stop generating and distributing explicit deepfake images. The ruling targets so-called ‘undressing’ content and illegal material involving minors.

The case was brought by Offlimits, which argued that safeguards were failing. The Dutch judges found sufficient evidence that harmful images could still be created despite existing restrictions.

The court imposed a penalty of €100,000 per day for violations, with a maximum of €10 million. Access to Grok on X must also be suspended if the system does not comply with the order.

The decision highlights growing legal pressure on AI platforms to control the misuse of generative tools. Regulators and courts are increasingly demanding stronger protections against online abuse and illegal content.

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Google expands AI skills initiative to boost career mobility in the UK

Google has launched a nationwide initiative in the UK to improve access to AI skills and support career progression.

The programme, titled ‘AI Works for Britain’, seeks to address structural barriers that limit professional mobility despite widespread access to digital tools.

New research indicates that a significant proportion of the population feels unable to advance, citing gaps in skills, confidence and professional networks.

While a majority already use AI tools, only a minority report meaningful productivity gains, suggesting that effective utilisation remains uneven across the workforce.

An initiative by Google that focuses on practical upskilling through public training hubs, university partnerships and community outreach programmes.

These efforts aim to move users beyond basic interaction with AI tools toward more advanced applications that can enhance employability, efficiency and business development.

The programme in the UK aligns with broader efforts to position AI as a driver of economic inclusion rather than a source of inequality, with policymakers and industry stakeholders emphasising the importance of workforce readiness in an increasingly AI-driven economy.

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Agentic AI study begins through University of Glasgow and Lloyds partnership

The University of Glasgow and Lloyds Banking Group have launched a four-year research partnership to study how agentic AI tools could support software and data engineering work.

According to the announcement, engineers at Lloyds Banking Group in Bristol, Manchester, and Hyderabad will work with large-language-model-based coding tools on different tasks each quarter. The aim is to measure effects on delivery speed and quality.

The collaboration will also create a PhD position, a Master of Research position, and a postdoctoral research associate post at the University of Glasgow.

Dr Tim Storer said: ‘Agentic-driven software engineering is a fast-developing sector with the potential to enable human engineers to work more efficiently by automating some tasks and allowing them to focus their skills on higher-level work.’

However, there has been relatively little research in industry on how integrating agentic AI into software engineering practices can be done effectively in large-scale organisations.’

We’re delighted to be partnering with Lloyds Banking Group on this groundbreaking project. Together, we will enable the Group’s plans to increase their software development capacity, produce high-quality research for the benefit of all, and influence national policy and industry standards.’

Dr Shane Montague said: ‘Lloyds Banking Group’s mission to Help Britain Prosper means leading innovation that genuinely improves how engineering gets done, with a focus on delivering enhanced digital services for our customers.’

‘We’re excited to partner with the University of Glasgow to gather rigorous, real-world evidence from day-to-day engineering work, so we can understand what really works and how agentic AI can be applied effectively and responsibly at scale.’

The partners say they plan to publish regular research papers and best-practice documents as the project develops.

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California challenges federal approach with new AI rules

The government of California is advancing a more interventionist approach to AI governance, signalling a divergence from federal deregulatory preferences.

An executive order signed by Gavin Newsom mandates the development of comprehensive AI policies within 4 months, prioritising public safety and protecting fundamental rights.

The proposed framework requires companies seeking state contracts to demonstrate safeguards against harmful outputs, including the prevention of child exploitation material and violent content.

It also calls for measures addressing algorithmic bias and unlawful discrimination, alongside increased transparency through mechanisms such as watermarking AI-generated media.

Federal guidance has discouraged state-level intervention, framing such efforts as obstacles to technological leadership.

The evolving policy landscape reflects growing concern over the societal impact of AI systems, including risks to employment, content integrity and civil liberties.

An initiative by California that may therefore serve as a testing ground for future regulatory models, shaping broader debates on balancing innovation with accountability in digital governance.

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Future intelligent networks move towards 6G era

Digital infrastructure remains central to modern society, with mobile networks forming the backbone of global connectivity and technological progress. According to Ericsson, research efforts are increasingly focused on ensuring that today’s 5G systems evolve into more advanced and intelligent network platforms.

The future 6G era is expected to go beyond traditional connectivity, enabling immersive communication experiences, intelligent machine interaction, and the development of large-scale digital twins.

Networks are anticipated to become cognitive systems, capable of learning, adapting, and making autonomous decisions in real time.

Alongside new capabilities, future networks will further strengthen core requirements such as security, privacy, reliability, and resilience. Advanced distributed processing will be embedded across network architecture to support real-time operations and system stability at scale.

Ericsson’s 6G vision aligns with the 2030 timeframe, emphasising open and standardised ecosystems that support global collaboration. Interoperability remains central, enabling innovation and seamless connectivity across devices and services.

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Software development dominates AI agent tool usage

Researchers analysed 177,436 AI agent tools created between November 2024 and February 2026 using Model Context Protocol repositories. The study examines how AI agents use external tools to access and modify digital environments.

The tools are grouped into perception, reasoning and action categories based on their function. Perception tools access data, reasoning tools analyse information, and action tools modify systems such as files, emails or external platforms.

Software development accounts for 67% of all tools and 90% of downloads. The findings show that AI agents are primarily used to support coding tasks and related workflows.

The share of action tools increased from 27% to 65% over the 16 months analysed. Most action tools focus on medium-stakes tasks, though some are used for financial transactions and other higher-stakes activities.

The study also outlines a method to monitor AI agent usage through tool-level analysis. This approach can support oversight of risks linked to AI deployment in practical applications.

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Ray-Ban Meta Gen 2 AI glasses expands smart eyewear line

Meta has unveiled its first prescription-optimised AI glasses, expanding its wearable line with Ray-Ban Meta Gen 2 models for everyday vision correction. The launch targets users who already rely on prescription eyewear, offering a more integrated and comfortable experience.

The range includes Blayzer Optics and Scriber Optics with adjustable hinges, nose pads, and temple tips for a better fit. Pre-orders begin at $499 in the United States via Meta and Ray-Ban platforms, with wider availability in optical retailers and select global markets from 14 April.

Alongside the hardware launch, Meta is introducing new frame and lens colour combinations across its Ray-Ban Meta and Oakley Meta collections.

Additional AI-driven features are also rolling out, including hands-free nutrition tracking, WhatsApp message summaries, and improved on-device recall capabilities designed to enhance everyday communication.

Further software updates extend functionality with discreet handwriting input, in-lens navigation across US cities, and expanded media recording tools. The company positions its AI glasses as a multifunctional platform combining vision correction, connectivity, and real-time assistance.

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Smart TV viewing upgraded with YouTube AI feature

YouTube has expanded its conversational AI tool to smart TVs, marking a significant step in making home viewing more interactive. Viewers can now engage with content directly from their television screens using voice-enabled queries.

Access to the feature is simple. While watching a video, users can select the ‘Ask’ option and activate their remote’s microphone button to interact with the AI. Users can ask about similar content or a creator’s catalogue in real time, with prompts available to guide new users.

Initial rollout of the tool took place last year across mobile and web platforms, where it quickly became a practical companion for deeper content engagement. Users already use it to analyse podcasts, explore destinations, and understand content without pausing videos.

Expansion to smart TVs strengthens YouTube’s push to transform passive viewing into an interactive experience. Living room entertainment is increasingly shaped by AI-driven features, with real-time assistance now integrated directly into the home’s largest screen.

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UN Global Mechanism on ICT security advances work, shifts focus to implementation

The United Nations Global Mechanism on developments in the field of ICTs in the context of international security and advancing responsible state behaviour in the use of ICTs held its second meeting, during which member states conducted a general exchange of views on the work of the newly established permanent forum.

The session, chaired by Ambassador Egriselda López of El Salvador, focused on agenda item four, during which 61 member states and three intergovernmental organisations delivered statements on priorities for the mechanism.

Delegations emphasised the transition from the previous Open-Ended Working Group (OEWG) to the new permanent mechanism, highlighting the need to build on existing agreements and move towards practical implementation. Several speakers stressed that the mechanism should focus on translating the agreed framework for responsible state behaviour in cyberspace into concrete outcomes, rather than negotiating new commitments.

Across statements, member states reaffirmed the five-pillar framework covering threats, norms and principles, the application of international law, confidence-building measures, and capacity development.

Capacity development was highlighted as a cross-cutting priority, particularly by developing countries and Small Island Developing States, which pointed to the need for demand-driven and sustainable approaches to strengthen cybersecurity capabilities. Delegations also noted challenges, including ransomware, threats to critical infrastructure, and the impact of emerging technologies such as AI.

Member states welcomed the establishment of two dedicated thematic groups, one addressing substantive ICT security challenges and another focused on capacity development, as a means to support more detailed discussions and implementation.

Several delegations reaffirmed that international law, including the UN Charter, applies to cyberspace and called for further work on its practical implementation. Many also emphasised the importance of maintaining a consensus-based, intergovernmental process, while enabling contributions from stakeholders, including the private sector, academia, and civil society, in line with agreed modalities.

The meeting forms part of the initial phase of the Global Mechanism’s work, following its establishment as a permanent UN forum on ICT security. The mechanism is expected to convene its first substantive plenary session in July 2026, alongside dedicated thematic group meetings scheduled for December 2026.

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