In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Union (EBU) are working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape. The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values. Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs. “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.” Empowering Media Innovation in Europe To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations. Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facility (DMF) and Media eXchange Layer (MXL) architecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem. The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies. As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI. In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development. Partnering With Public Service Media for Sovereign Cloud and AI Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI. By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI. This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations. “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.” Learn more about the EBU. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. 

Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models (WFMs) — neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description (OpenUSD), a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.

Additive Manufacturing UK (AMUK)’s first Members Forum of 2025 was held at Siemens’ UK headquarters in South Manchester earlier this year. The event featured presentations from AMUK members and offered attendees a chance to network and share insights.  Ahead of the day-long meetup, 3D Printing Industry caught up with Joshua Dugdale, Head of AMUK, to learn more about the current state of additive manufacturing and the future of 3D printing in Britain.  AMUK is the United Kingdom’s primary 3D printing trade organization. Established in 2014, it operates within the Manufacturing Technologies Association (MTA) cluster. Attendees at this year’s first meetup spanned the UK’s entire 3D printing ecosystem. Highlights included discussion on precious materials from Cookson Industrial, simulation software from Siemens, digital thread solutions from Kaizen PLM, and 3D printing services provided by ARRK.  With a background in mechanical engineering, Dugdale is “responsible for everything and anything AMUK does as an organization.” According to the Loughborough University alumnus, who is also Head of Technology and Skills at the MTA, AMUK’s core mission is to “create an environment in the UK where additive manufacturing can thrive.” He elaborated on how his organization is working to increase the commercial success of its members within the “struggling” global manufacturing environment. Dugdale shared his perspective on the key challenges facing 3D printing in the UK. He pointed to a “tough” operating environment hampered by global financial challenges, which is delaying investments.  Despite this, AMUK’s leader remains optimistic about the sector’s long-term potential, highlighting the UK’s success in R&D and annual 3D printing intellectual property (IP) output. Dugdale emphasized the value of 3D printing for UK defense and supply chain resilience, arguing that “defense will lead the way” in 3D printing innovation.  Looking ahead, Dugdale called on the UK Government to create a unified 3D printing roadmap to replace its “disjointed” approach to policy and funding. He also shared AMUK’s strategy for 2025 and beyond, emphasizing a focus on eductaion, supply chain visibility, and standards. Ultimately, the AMUK figurehead shared a positive outlook on the future of 3D printing in the UK. He envisions a new wave of innovation that will see more British startups and university spinouts emerging over the next five years.          Siemens’ Manchester HQ hosted the first AMUK Members Forum of 2025. Photo by 3D Printing Industry. What is the current state of additive manufacturing in the UK? According to Dugdale, the 3D printing industry is experiencing a challenging period, driven largely by global economic pressures. “I wouldn’t describe it as underperforming, I’d describe it as flat,” Dugdale said. “The manufacturing sector as a whole is facing significant challenges, and additive manufacturing is no exception.” He pointed to increased competition, a cautious investment climate, and the reluctance of businesses to adopt new technologies due to the economic uncertainty.  Dugdale specifically highlighted the increase in the UK’s National Insurance contribution (NIC) rate for employers, which rose from 13.8% to 15% on April 6, 2025. He noted that many British companies postponed investment decisions ahead of the announcement, reflecting growing caution within the UK manufacturing sector. “With additive manufacturing, people need to be willing to take risks,” added Dugdale. “People are holding off at the moment because the current climate doesn’t favor risk.”  Dugdale remains optimistic about the sector’s long-term potential, arguing that the UK continues to excel in academia and R&D. However, for Dugdale, commercializing that research is where the country must improve before it can stand out on the world stage. This becomes especially clear when compared to countries in North America and Asia, which receive significantly greater financial support. “We’re never going to compete with the US and China, because they have so much more money behind them,” he explained. In a European context, Dugdale believes the UK “is doing quite well.” However, Britain remains below Spain in terms of financial backing and technology adoption. “Spain has a much more mature industry,” Dugdale explained. “Their AM association has been going for 10 years, and it’s clear that their industry is more cohesive and further along. It’s a level of professionalism we can learn from.” While the Iberian country faces similar challenges in standards, supply chain, and visibility, it benefits from a level of cohesion that sets it apart from many other European countries. Dugdale pointed to the Formnext trade show as a clear example of this disparity. He expects the Spanish pavilion to span around 200 square meters and feature ten companies at this year’s event, a “massive” difference compared to the UK’s 36 square meters last year. AMUK’s presence could grow to around 70 square meters at Formnext 2025, but this still lags far behind. Dugdale attributes this gap to government support. “They get more funding. This makes it a lot more attractive for companies to come because there’s less risk for them,” he explained.   Josh Dugdale speaking at the AMUK Members Forum in Manchester. Photo by 3D Printing Industry. 3D printing for UK Defense  As global security concerns grow, the UK government has intensified efforts to bolster its defense capabilities. In this context, 3D printing is emerging as a key enabler. Earlier this year, the Ministry of Defence (MoD) released its first Defence Advanced Manufacturing Strategy, outlining a plan to “embrace 3D printing,” with additive manufacturing expected to play a pivotal role in the UK’s future military operations.  Dugdale identified two key advantages of additive manufacturing for defense: supply chain resilience and frontline production. For the former, he stressed the importance of building localized supply chains to reduce lead times and eliminate dependence on overseas shipments. This capability is crucial for ensuring that military platforms, whether on land, at sea, or in the air, remain operational.  3D printing near the front lines offers advantages for conducting quick repairs and maintaining warfighting capabilities in the field. “If a tank needs to get back off the battlefield, you can print a widget or bracket that’ll hold for just five miles,” Dugdale explained. “It’s not about perfect engineering; it’s about getting the vehicle home.”  The British Army has already adopted containerized 3D printers to test additive manufacturing near the front lines. Last year, British troops deployed metal and polymer 3D printers during Exercise Steadfast Defender, NATO’s largest military exercise since the Cold War. Dubbed Project Bokkr, the additive manufacturing capabilities included XSPEE3D cold spray 3D printer from Australian firm SPEE3D.     Elsewhere in 2024, the British Army participated in Additive Manufacturing Village 2024, a military showcase organized by the European Defence Agency. During the event, UK personnel 3D printed 133 functional parts, including 20 made from metal. They also developed technical data packs (TDPs) for 70 different 3D printable spare parts. The aim was to equip Ukrainian troops with the capability to 3D print military equipment directly at the point of need. Dugdale believes success in the UK defense sector will help drive wider adoption of 3D printing. “Defense will lead the way,” he said, suggesting that military users will build the knowledge base necessary for broader civilian adoption. This could also spur innovation in materials science, an area Dugdale expects to see significant advancements in the coming years.     A British Army operator checks a part 3D printed on SPEE3D’s XSPEE3D Cold Spray 3D printer. Photo via the British Army. Advocating for a “unified industrial strategy” Despite promising growth in defence, Dugdale identified major hurdles that still hinder the widespread adoption of additive manufacturing (AM) in the UK.  A key challenge lies in the significant knowledge gap surrounding the various types of AM and their unique advantages. This gap, he noted, discourages professionals familiar with traditional manufacturing methods like milling and turning from embracing 3D printing. “FDM is not the same as WAAM,” added Dugdale. “Trying to explain that in a very nice, coherent story is not always easy.” Dugdale also raised concerns about the industry’s fragmented nature, especially when it comes to software compatibility and the lack of interoperability between 3D printing systems. “The software is often closed, and different machines don’t always communicate well with each other. That can create fear about locking into the wrong ecosystem too early,” he explained.  For Dugdale, these barriers can only be overcome with a clear industrial strategy for additive manufacturing. He believes the UK Government should develop a unified strategy that defines a clear roadmap for development. This, Dugdale argued, would enable industry players to align their efforts and investments.  The UK has invested over £500 million in AM-related projects over the past decade. However, Dugdale explained that fragmented funding has limited its impact. Instead, the AMUK Chief argues that the UK Government’s strategy should recognize AM as one of “several key enabling technologies,” alongside machine tooling, metrology, and other critical manufacturing tools.  He believes this unified approach could significantly boost the UK’s productivity and fully integrate 3D printing into the wider industrial landscape. “Companies will align themselves with the roadmap, allowing them to grow and mature at the same rate,” Dugdale added. “This will help us to make smarter decisions about how we fund and where we fund.”    AMUK’s roadmap and the future of 3D printing in the UK    When forecasting 3D printing market performance, Dugdale and his team track five key industries: automotive, aerospace, medical, metal goods, and chemical processes. According to Dugdale, these industries are the primary users of machine tools, which makes them crucial indicators of market health. AMUK also relies on 3D printing industry surveys to gauge confidence, helping them to spot trends even when granular data is scarce. By comparing sector performance with survey-based confidence indicators, AMUK builds insights into the future market trajectory. The strong performance of sectors like aerospace and healthcare, which depend heavily on 3D printing, reinforces Dugdale’s confidence in the long-term potential of additive manufacturing. Looking ahead to the second half of 2025, AMUK plans to focus on three primary challenges: supply chain visibility, skills development, and standards. Dugdale explains that these issues remain central to the maturation of the UK’s AM ecosystem. Education will play a key role in these efforts.  AMUK is already running several additive manufacturing upskilling initiatives in schools and universities to build the next generation of 3D printing pioneers. These include pilot projects that introduce 3D printing to Key Stage 3 students (aged 11) and AM university courses that are tailored to industry needs.  In the longer term, Dugdale suggests AMUK could evolve to focus more on addressing specific industry challenges, such as net-zero emissions or automotive light-weighting. This would involve creating specialized working groups that focus on how 3D printing can address specific pressing issues.  Interestingly, Dugdale revealed that AMUK’s success in advancing the UK’s 3D printing industry could eventually lead to the organization being dissolved and reabsorbed into the MTA. This outcome, he explained, would signal that “additive manufacturing has really matured” and is now seen as an integral part of the broader manufacturing ecosystem, rather than a niche technology. Ultimately, Dugdale is optimistic for the future of 3D printing in the UK. He acknowledged that AMUK is still “trying to play catch-up for the last 100 years of machine tool technology.” However, additive manufacturing innovations are set to accelerate. “There’s a lot of exciting research happening in universities, and we need to find ways to help these initiatives gain the funding and visibility they need,” Dugdale urged. As the technology continues to grow, Dugdale believes additive manufacturing will gradually lose its niche status and become a standard tool for manufacturers. “In ten years, we could see a generation of workers who grew up with 3D printers at home,” he told me. “For them, it will just be another technology to use in the workplace, not something to be amazed by.”  With this future in mind, Dugdale’s vision for 3D printing is one of broad adoption, supported by clear strategy and policy, as the technology continues to evolve and integrate into UK industry.  Take the 3DPI Reader Survey — shape the future of AM reporting in under 5 minutes. 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Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them.  There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March.  These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions.  China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.  For now, its leading AI agent startups are focusing their attention on the global market, because the best Western models don’t operate inside China’s firewalls. But that could change soon: Tech giants like ByteDance and Tencent are preparing their own AI agents that could bake automation directly into their native super-apps, pulling data from their vast ecosystem of programs that dominate many aspects of daily life in the country.  As the race to define what a useful AI agent looks like unfolds, a mix of ambitious startups and entrenched tech giants are now testing how these tools might actually work in practice—and for whom. Set the standard It’s been a whirlwind few months for Manus, which was developed by the Wuhan-based startup Butterfly Effect. The company raised $75 million in a funding round led by the US venture capital firm Benchmark, took the product on an ambitious global roadshow, and hired dozens of new employees.  Even before registration opened to the public in May, Manus had become a reference point for what a broad, consumer‑oriented AI agent should accomplish. Rather than handling narrow chores for businesses, this “general” agent is designed to be able to help with everyday tasks like trip planning, stock comparison, or your kid’s school project.  Unlike previous AI agents, Manus uses a browser-based sandbox that lets users supervise the agent like an intern, watching in real time as it scrolls through web pages, reads articles, or codes actions. It also proactively asks clarifying questions, supports long-term memory that would serve as context for future tasks. “Manus represents a promising product experience for AI agents,” says Ang Li, cofounder and CEO of Simular, a startup based in Palo Alto, California, that’s building computer use agents, AI agents that control a virtual computer. “I believe Chinese startups have a huge advantage when it comes to designing consumer products, thanks to cutthroat domestic competition that leads to fast execution and greater attention to product details.” In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s.  Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can switch among several large language models, accepts both images and text, and carries out tasks from making slide decks to placing phone calls. Whereas Manus relies heavily on Browser Use, a popular open-source product that lets agents operate a web browser in a virtual window like a human, Genspark directly integrates with a wide array of tools and APIs. Launched in April, the company says that it already has over 5 million users and over $36 million in yearly revenue. Flowith, the work of a young team that first grabbed public attention in April 2025 at a developer event hosted by the popular social media app Xiaohongshu, takes a different tack. Marketed as an “infinite agent,” it opens on a blank canvas where each question becomes a node on a branching map. Users can backtrack, take new branches, and store results in personal or sharable “knowledge gardens”—a design that feels more like project management software (think Notion) than a typical chat interface. Every inquiry or task builds its own mind-map-like graph, encouraging a more nonlinear and creative interaction with AI. Flowith’s core agent, NEO, runs in the cloud and can perform scheduled tasks like sending emails and compiling files. The founders want the app to be a “knowledge marketbase”, and aims to tap into the social aspect of AI with the aspiration of becoming “the OnlyFans of AI knowledge creators”. What they also share with Manus is the global ambition. Both Genspark and Flowith have stated that their primary focus is the international market. A global address Startups like Manus, Genspark, and Flowith—though founded by Chinese entrepreneurs—could blend seamlessly into the global tech scene and compete effectively abroad. Founders, investors, and analysts that MIT Technology Review has spoken to believe Chinese companies are moving fast, executing well, and quickly coming up with new products.  Money reinforces the pull to launch overseas. Customers there pay more, and there are plenty to go around. “You can price in USD, and with the exchange rate that’s a sevenfold multiplier,” Manus cofounder Xiao Hong quipped on a podcast. “Even if we’re only operating at 10% power because of cultural differences overseas, we’ll still make more than in China.” But creating the same functionality in China is a challenge. Major US AI companies including OpenAI and Anthropic have opted out of mainland China because of geopolitical risks and challenges with regulatory compliance. Their absence initially created a black market as users resorted to VPNs and third-party mirrors to access tools like ChatGPT and Claude. That vacuum has since been filled by a new wave of Chinese chatbots—DeepSeek, Doubao, Kimi—but the appetite for foreign models hasn’t gone away.  Manus, for example, uses Anthropic’s Claude Sonnet—widely considered the top model for agentic tasks. Manus cofounder Zhang Tao has repeatedly praised Claude’s ability to juggle tools, remember contexts, and hold multi‑round conversations—all crucial for turning chatty software into an effective executive assistant. But the company’s use of Sonnet has made its agent functionally unusable inside China without a VPN. If you open Manus from a mainland IP address, you’ll see a notice explaining that the team is “working on integrating Qwen’s model,” a special local version that is built on top of Alibaba’s open-source model.  An engineer overseeing ByteDance’s work on developing an agent, who spoke to MIT Technology Review anonymously to avoid sanction, said that the absence of Claude Sonnet models “limits everything we do in China.” DeepSeek’s open models, he added, still hallucinate too often and lack training on real‑world workflows. Developers we spoke with rank Alibaba’s Qwen series as the best domestic alternative, yet most say that switching to Qwen knocks performance down a notch. Jiaxin Pei, a postdoctoral researcher at Stanford’s Institute for Human‑Centered AI, thinks that gap will close: “Building agentic capabilities in base LLMs has become a key focus for many LLM builders, and once people realize the value of this, it will only be a matter of time.” For now, Manus is doubling down on audiences it can already serve. In a written response, the company said its “primary focus is overseas expansion,” noting that new offices in San Francisco, Singapore, and Tokyo have opened in the past month. A super‑app approach Although the concept of AI agents is still relatively new, the consumer-facing AI app market in China is already crowded with major tech players. DeepSeek remains the most widely used, while ByteDance’s Doubao and Moonshot’s Kimi have also become household names. However, most of these apps are still optimized for chat and entertainment rather than task execution. This gap in the local market has pushed China’s big tech firms to roll out their own user-facing agents, though early versions remain uneven in quality and rough around the edges.  ByteDance is testing Coze Space, an AI agent based on its own Doubao model family that lets users toggle between “plan” and “execute” modes, so they can either directly guide the agent’s actions or step back and watch it work autonomously. It connects up to 14 popular apps, including GitHub, Notion, and the company’s own Lark office suite. Early reviews say the tool can feel clunky and has a high failure rate, but it clearly aims to match what Manus offers. Meanwhile, Zhipu AI has released a free agent called AutoGLM Rumination, built on its proprietary ChatGLM models. Shanghai‑based Minimax has launched Minimax Agent. Both products look almost identical to Manus and demo basic tasks such as building a simple website, planning a trip, making a small Flash game, or running quick data analysis. Despite the limited usability of most general AI agents launched within China, big companies have plans to change that. During a May 15 earnings call, Tencent president Liu Zhiping teased an agent that would weave automation directly into China’s most ubiquitous app, WeChat.  Considered the original super-app, WeChat already handles messaging, mobile payments, news, and millions of mini‑programs that act like embedded apps. These programs give Tencent, its developer, access to data from millions of services that pervade everyday life in China, an advantage most competitors can only envy. Historically, China’s consumer internet has splintered into competing walled gardens—share a Taobao link in WeChat and it resolves as plaintext, not a preview card. Unlike the more interoperable Western internet, China’s tech giants have long resisted integration with one another, choosing to wage platform war at the expense of a seamless user experience. But the use of mini‑programs has given WeChat unprecedented reach across services that once resisted interoperability, from gym bookings to grocery orders. An agent able to roam that ecosystem could bypass the integration headaches dogging independent startups. Alibaba, the e-commerce giant behind the Qwen model series, has been a front-runner in China’s AI race but has been slower to release consumer-facing products. Even though Qwen was the most downloaded open-source model on Hugging Face in 2024, it didn’t power a dedicated chatbot app until early 2025. In March, Alibaba rebranded its cloud storage and search app Quark into an all-in-one AI search tool. By June, Quark had introduced DeepResearch—a new mode that marks its most agent-like effort to date.  ByteDance and Alibaba did not reply to MIT Technology Review’s request for comments. “Historically, Chinese tech products tend to pursue the all-in-one, super-app approach, and the latest Chinese AI agents reflect just that,” says Li of Simular, who previously worked at Google DeepMind on AI-enabled work automation. “In contrast, AI agents in the US are more focused on serving specific verticals.” Pei, the researcher at Stanford, says that existing tech giants could have a huge advantage in bringing the vision of general AI agents to life—especially those with built-in integration across services. “The customer-facing AI agent market is still very early, with tons of problems like authentication and liability,” he says. “But companies that already operate across a wide range of services have a natural advantage in deploying agents at scale.”