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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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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AI capacity partnership links UNDP and Intel in Lesotho and Liberia

The United Nations Development Programme and Intel are working together to expand AI training and digital skills in Lesotho and Liberia under a Memorandum of Understanding signed in March 2025. According to UNDP, the partnership is intended to combine global technical expertise with local leadership as both countries pursue broader digital transformation goals.

Lesotho and Liberia are approaching the issue from different starting points.UNDP says Lesotho is aiming for universal digital access by 2030, while Liberia is investing in AI in higher education and governance systems to prepare for the future digital economy. Through its partnership with Intel, the UN’s global development network says it is helping close gaps in AI literacy and capacity-building so communities can better understand how AI may affect everyday life.

In Lesotho, UNDP says it has already helped establish 40 Digital Skills Learning Labs and train 40 Digital Ambassadors, including teachers, religious leaders, and local influencers. Intel’s ‘AI for Citizens (AI Community Experiences)’ programme was introduced to provide locally relevant training materials for low-connectivity environments. UNDP says the onboarding included virtual sessions using games and storytelling, while analogue activities and puzzles were used to explain concepts such as computer vision.

Liberia’s work has focused more on higher education and the public sector. UNDP says it supported the University of Liberia in designing its first Master of AI programme through six online sessions with global experts and in-person workshops involving 20 faculty members. The collaboration also extended to government, with targeted training for nearly 100 officials on how AI could improve public service delivery and inform policy decisions.

Anshul Sonak, Global Head of Intel Digital Readiness Programs, said: ‘We are deeply honoured to be a part of the AI training collaboration in Liberia with UNDP. Bringing AI skills and digital literacy to a country rich in history and potential was an amazing experience. We look forward to more collaborations in the future and finding more opportunities for Intel to be a player in the region.’

UNDP says future phases may include expanding training to more communities and countries, adapting content to local languages and contexts, and adding online components as connectivity improves. Dhani Spiller, Head of UNDP’s Digital Capacity Lab, said: ‘This partnership shows what’s possible when we combine UNDP’s development mandate with the innovation and technical depth of private-sector leaders.’

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Funding boost for UK cities innovation sector

The UK government has pledged up to £20 million to boost the creative technology sector in the Tay Cities Region. The investment aims to support innovation in areas such as video games and virtual reality while driving economic growth.

Funding will help develop local talent and accelerate projects from early research to commercial products. The initiative focuses on strengthening collaboration between businesses, researchers and public bodies to expand opportunities across the region.

Centred around Dundee and the surrounding areas, the programme will build on an established reputation in digital industries. Universities and industry partners are expected to play a key role in delivering research, training and access to investment networks.

UK officials say the move will create jobs and open new markets, while supporting emerging applications in sectors including healthcare and education. The funding forms part of a wider national strategy to strengthen innovation and regional economies.

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EPO strengthens industry collaboration on European patent innovation

The European Patent Office (EPO) has reinforced cooperation with industry stakeholders through discussions with the German Association of Industry IP Experts, focusing on strengthening the European patent system and supporting innovation.

A meeting that brought together representatives from major industrial actors to align priorities and explore future collaboration.

Discussions between the EPO and the stakeholders centred on enhancing technology transfer, empowering startups and fostering economic growth across Europe.

Participants emphasised the importance of inclusive engagement among patent system users instead of fragmented approaches, ensuring that innovation strategies reflect both industrial and societal needs.

The Unitary Patent system was highlighted as gaining traction, particularly among smaller entities such as SMEs, individual inventors and research organisations. Such a trend reflects broader efforts to improve accessibility and scalability within the European innovation ecosystem.

AI also featured prominently, with both sides recognising its growing role in improving efficiency and quality in patent processes.

A human-centric approach remains essential, ensuring that AI deployment supports responsible innovation while maintaining high standards in patent examination and services.

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Technology reshapes pensions engagement

New technology is reshaping how people engage with pensions, according to Financial Conduct Authority chief executive Nikhil Rathi. Speaking in London, he highlighted the growing role of AI and digital tools in helping savers better understand their retirement finances.

Pensions dashboards are expected to give millions a clearer view of their savings, potentially driving greater engagement and behavioural change. Increased visibility may encourage actions such as consolidating pension pots or adjusting contributions.

London officials warn that stronger engagement brings risks as well as opportunities, with many consumers still lacking clear retirement plans. Policymakers aim to balance protection with flexibility, promoting informed decisions while avoiding overly restrictive systems.

Advances in AI are also enabling more personalised financial guidance, making it easier for users to explore retirement scenarios. Experts say the future of pensions will depend on integrating savings, housing and wider financial planning into a more connected system.

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MIT uses AI to detect atomic material defects

Researchers at MIT have developed an AI model capable of identifying and quantifying atomic-scale defects in materials without damaging them. The approach aims to improve the design and performance of semiconductors, batteries, and solar cells.

The model analyses data from neutron-scattering experiments and can detect up to six different point defects simultaneously. Trained on 2,000 semiconductor materials, it analyses atomic vibrations to estimate defect types and concentrations that are hard for traditional methods to measure.

Conventional techniques such as X-ray diffraction or electron microscopy typically capture only limited aspects of material defects and often require destructive testing. The AI system uses pattern recognition to build a more complete picture, offering a non-invasive option for manufacturing quality control.

Researchers say the method could eventually be adapted to more widely used tools such as Raman spectroscopy, making industrial adoption more practical. Future work will also extend the model beyond point defects to larger structural features in materials.

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New Microsoft Copilot update brings deeper enterprise AI integration

Microsoft has expanded its Microsoft 365 Copilot platform with new AI capabilities designed to handle complex, multi-step workflows across workplace applications. The update integrates AI into business tools, combining multiple models to improve reasoning and execution.

A key addition is Copilot Cowork, a system designed to manage longer tasks by breaking down user requests into structured plans. It can coordinate actions across apps, manage schedules, and track progress while allowing users to intervene at each stage.

The feature is currently available through Microsoft’s Frontier programme.

Further upgrades come through Researcher, an AI tool that synthesises information from multiple sources to produce detailed reports with citations. A new Critique function uses two models, one generating outputs and the other refining them to improve accuracy and reliability.

Microsoft says the updates aim to shift Copilot from a content-generation tool to an execution-focused assistant capable of carrying out real work processes. Early adopters report better planning, scheduling, and structured deliverables in enterprise environments.

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