AI News Archive: June 4, 2026 — Part 5
Sourced from 500+ daily AI sources, scored by relevance.
- Preparing for agentic commerce: REWE’s AI transformation
The German retail and tourism group’s chief digital and technology officer says AI is “the most fundamental change in the way we do business in 50 years.”
- AI’s Wild 48 Hours: Codex, MAI-Thinking-1, MiniMax M3, and the GPT-5.6 Leak
The useful signal over the last two days was not the rumored GPT-5.6 leak. Continue reading on Towards AI »
- Rayfin signals Microsoft’s push to make Fabric an AI app runtime
For enterprises embracing AI-assisted development, writing code is no longer the hardest part. Operationalizing it is. Microsoft is targeting that challenge with Rayfin, a new open-source SDK and CLI unveiled at Build 2026. “ Rayfin turns backend development into a code-first workflow. Developers and coding agents can define a full application backend in code, including databases, business logic, APIs, identity, and access policies, and deploy it to Microsoft Fabric for a fully managed, enterprise-grade backend,” Shireesh Thota , CVP of databases at Microsoft, wrote in a blog post . In effect, Thota added, this approach cuts down the manual integration work and time typically required to connect backend systems once an application front-end is built. Explaining further, how Rayfin works, the top executive said that developers or coding agents working on their behalf define the entire backend using the SDK, and then that definition is deployed directly to Fabric using the CLI. Governance, not productivity, may be the bigger draw According to independent consultant David Linthicum , Rayfin increases developer productivity, reduces integration overhead, and platform sprawl: “Instead of standing up separate app runtimes, data services, governance layers, and custom integration code, they can push more of that into one managed environment. It also keeps application data closer to the analytics estate.” However, the rise in developer productivity is just the hook, according to Stewart Bond , research vice president at IDC. “For CIOs, the more compelling value proposition is governance and operational control. It is governance by default — inherited security, compliance, and access policies from day one — that addresses the risks CIOs most frequently cite when AI-generated code and agent-authored applications enter production environments,” Bon said. “IDC research indicates that AI data readiness is not owned by a single team but by a coordinated network of stakeholders across all four planes of the enterprise intelligence architecture, and Rayfin’s architecture reflects that by ensuring that application data lands directly in a governed data estate, making it immediately available for reporting, analytics, and AI workloads without additional pipeline work,” Bond added. For Ashish Chaturvedi , leader of executive research at HFS Research, Rayfin should help CIOs tackle another facet of non-governance: shadow IT . “Coding agents have democratized app creation. Today, anyone with a prompt and a browser can spin up a working application in minutes. Every one of those ungoverned apps is a potential data silo, a security gap, and a compliance liability waiting to land on someone’s desk. Rayfin is the governed on-ramp,” Chaturvedi said. Platforms like Rayfin are set to gain traction Analysts say platforms like Rayfin are becoming increasingly common as enterprises discover that AI applications are difficult to govern and operationalize when data, models, policies, and runtimes are spread across separate systems. Enterprises moving beyond isolated AI experiments, according to Bond, increasingly need automated governance, real-time processing, and tighter feedback loops between AI systems and enterprise data — capabilities that are harder to deliver when application and data layers remain separate. More so because the economics, too, becomes harder to argue, Chaturvedi said. “When apps run inside the data platform, you eliminate data movement costs, reduce governance surface area, and shrink the attack surface. Within three to five years, converged platforms will be the default for new agentic applications,” the analyst added. However, Stephanie Walter , practice lead of the AI stack at HyperFRAME Research, pointed out that enterprises will not move every application onto one platform. “The likely future is a hybrid model: some agentic applications will run inside governed data platforms like Fabric, Snowflake, or Databricks, while others will continue to run on general-purpose cloud runtimes. The architectural question will be where the application’s most sensitive data, context, and control plane should live,” Walter said. Making Fabric the runtime for AI applications Beyond the immediate benefits around governance and operational control, Walter sees Rayfin as a strategic move in Microsoft’s broader effort to expand Fabric’s role within the enterprise technology stack. Rayfin’s release, Walter said, is less about a new developer tool and more about Microsoft’s attempt to reposition Fabric as a platform for building and running AI-native applications. “Rayfin positions Fabric as a runtime environment for a new class of AI-native applications. That is strategically important because the next phase of enterprise AI will not be won only at the model layer. It will be won by the platforms that can turn governed enterprise data into safe, operational applications,” Walter added. However, she remained skeptical about whether developers will accept Fabric as an application runtime and not just a data platform: “Rayfin lowers the barrier, but Microsoft still has to prove the developer experience is lightweight enough, the deployment model is flexible enough, and the governance benefits are strong enough to justify building inside Fabric rather than around it.” Microsoft is making Rayfin available in preview, and enterprises can try the service through a 60-day Microsoft Fabric trial. The SDK and CLI-combo can also be accessed via Replit , the company said. The article originally appeared on InfoWorld .
Score: 47🌐 MovesJun 4, 2026https://www.cio.com/article/4181172/rayfin-signals-microsofts-push-to-make-fabric-an-ai-app-runtime-2.html - The next AI breakthrough won’t come from bigger models, but from better data
The next AI breakthrough won’t come from bigger models, but from better data InfoWorld
- AI Is Changing How Consultants Get Paid—and Much More, BCG’s CEO Says
AI Is Changing How Consultants Get Paid—and Much More, BCG’s CEO Says Boston Consulting Group
Score: 46🌐 MovesJun 4, 2026https://www.bcg.com/about/expertise/ai-changing-consulting-and-pricing-models - Snowflake CIO Says He Used Layoffs to Convince Staff to Use AI
Snowflake CIO Says He Used Layoffs to Convince Staff to Use AI The Information
Score: 46🌐 MovesJun 4, 2026https://www.theinformation.com/newsletters/applied-ai/snowflake-cio-says-used-layoffs-convince-staff-use-ai - Ideogram and Reve rethink how AI images get made
PLUS: Automate your social content calendar with Manus
Score: 46🌐 MovesJun 4, 2026https://www.therundown.ai/p/ideogram-and-reve-rethink-how-ai-images-get-made - Wealth taxes ‘almost inevitable’ because of AI, warns private bank
Wealth taxes ‘almost inevitable’ because of AI, warns private bank The Telegraph
Score: 45🌐 MovesJun 4, 2026https://www.telegraph.co.uk/business/2026/06/04/wealth-taxes-inevitable-because-ai-warns-private-bank/ - Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AI
Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AI
- AI Is Changing How Cyber Attacks Happen—and Your Smartphone Is the Big Target
A new report from Anthropic details how the AI era has given hackers an increasingly sophisticated set of tools.
- How AI is breaking banking’s old employment model
Banking jobs in Kenya and, by extension, most African markets have carried a certain social prestige thanks to stable salaries, pension plans, and confidence in a sector that seems too important to shrink.
Score: 45🌐 MovesJun 4, 2026https://techcabal.com/2026/06/04/how-ai-breaking-banking-old-employment-model/ - HMRC continues digital transformation drive with Capgemini AI deal
HMRC continues digital transformation drive with Capgemini AI deal IT Pro
- Hasbro releases AI versions of its iconic characters, including Transformers
Hasbro releases AI versions of its iconic characters, including Transformers CBC
- Cohere says it is not working with Palantir
Toronto AI company says it has no relationship with US firm, despite reports of a partnership. The post Cohere says it is not working with Palantir first appeared on BetaKit .
- XCENA targets AI memory bottleneck with near-memory computing
XCENA targets AI memory bottleneck with near-memory computing 매일경제
- AI@Work: Tokenomics is the new headcount—plus 4 more trends to watch
The post AI@Work: Tokenomics is the new headcount—plus 4 more trends to watch appeared first on Source .
Score: 45🌐 MovesJun 4, 2026https://www.microsoft.com/en-us/worklab/aiwork-tokenomics-is-the-new-headcount-and-four-more-trends-to-watch - Tata Communications stock rises 2%; new study exposes AI infrastructure gap in global enterprises
The stock has gained over 25% in the past month and trades at a price-to-earnings ratio of 54.77, with a total market capitalisation of approximately ₹56,259 crore
- AI Data Centres Could Strain Power and Water by 2030: Study
AI Data Centres Could Strain Power and Water by 2030: Study YourStory.com
Score: 45🌐 MovesJun 4, 2026https://yourstory.com/ai-story/ai-data-centres-electricity-water-demand-2030 - Celonis boss: 'If we're honest, AI adoption hasn’t gone as quickly as expected’
Celonis boss: 'If we're honest, AI adoption hasn’t gone as quickly as expected’
- Anthropic’s relentless race to the top
Can the AI company hold on to its ethical founding principles as it strides to market with its most powerful and unnerving tool yet?
- Americans lead AI data centre backlash, global poll finds
US has lowest support among 15 large economies for infrastructure expansion
- The Small-Business Owners Managing Whole Armies of A.I. Employees
When you turn A.I. agents loose on your finances, email and customers, what could possibly go wrong?
Score: 45🌐 MovesJun 4, 2026https://www.nytimes.com/2026/06/04/magazine/ai-agents-openclaw-small-business.html - CrowdStrike CEO says AI security fears will become a bigger tailwind in coming quarters
CrowdStrike CEO George Kurtz said it was too early for concerns surrounding Anthropic's Mythos to meaningfully impact first-quarter results.
- Quantinuum Shares Pare Gains to Close Little Changed After IPO
Quantinuum Inc., a quantum computing company backed by Honeywell International Inc., reversed a 19% gain to close just above its debut price after raising $1.68 billion in an upsized US initial public offering.
- Meta steals a tactic from Tesla and builds data centers in tents
Meta may have found one way to slash its massive data center bill: tents.
Score: 45🌐 MovesJun 4, 2026https://techcrunch.com/2026/06/04/meta-steals-a-tactic-from-tesla-and-builds-data-centers-in-tents/ - Nedbank taps AI-powered lending to reach underserved South Africans
The Johannesburg-headquartered lender, which operates in six other African markets, has integrated JUMO’s lending technology into its mobile banking platform.
- Waymo using old EV batteries to power Texas, California
Google-owned Waymo is repurposing its old EV batteries, with Texas and California benefiting.
- Compal and Datasection Advance AI Infrastructure for the Production Era
Compal and Datasection Advance AI Infrastructure for the Production Era The Straits Times
- Quote of the day by Sam Altman: "I cannot imagine having gone through figuring out how to raise a newborn without ChatGPT" — opening up on how reliant we are on chatbots
The OpenAI CEO recently became a parent and has been relying on a chatbot for parenting tips, as many others are increasingly doing
- How Endava is redesigning software delivery around AI agents
Learn how Endava is using AI agents, ChatGPT Enterprise, and Codex to accelerate software delivery, automate workflows, and build an AI-native culture across the enterprise.
- NVIDIA’s AI PC push may open opportunities for India’s semicon ecosystem
While Intel and AMD have added AI capabilities to chips, NVIDIA has designed its chip from the ground up with AI at the core
- LITEON Partners With SUTD and Its Spinoff NeuroRAN to Drive AI-RAN Innovation, Advancing Real-Time Edge AI Commercialization over 5G
LITEON Partners With SUTD and Its Spinoff NeuroRAN to Drive AI-RAN Innovation, Advancing Real-Time Edge AI Commercialization over 5G The Straits Times
- Jasper Research releases MONET
Largest open text-image dataset (104.9M samples) and nano-t2i, a codebase to train T2I models.
- Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning
Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning MarkTechPost
- London’s Airspeed raises €17.2 million Series A to build AI-powered execution layer for revenue teams
Airspeed, a London-based agent-native platform for GTM execution, today announced a €17.2 million ($20 million) Series A to scale its proprietary technology, hire new global talent, and expand its US presence. The round was led by DN Capital, with participation from Vi Partners, Framework Venture Partners, and Atlassian Ventures. Adam Liska, CEO and co-founder of […] The post London’s Airspeed raises €17.2 million Series A to build AI-powered execution layer for revenue teams appeared first on EU-Startups .
- Data center energy challenges mount
Unorthodox and aggressive solutions are emerging amid AI boom.
Score: 42🌐 MovesJun 4, 2026https://www.semafor.com/article/06/04/2026/data-center-energy-challenges-are-mounting - Broadcom stock plunges on weak software sales, unchanged AI chip forecast for the year
Broadcom reported fiscal second-quarter results on Wednesday and missed estimates for revenue.
Score: 42🌐 MovesJun 4, 2026https://www.cnbc.com/2026/06/03/broadcom-avgo-earnings-report-q2-2026.html - Android's Samat on Integrating AI into the Ecosystem
Sameer Samat, President of Android Ecosystem at Google discusses platform evolution, AI integration and ecosystem strategy with Bloomberg’s Mark Gurman in a live version of Power On at Bloomberg Tech 2026 in San Francisco. (Source: Bloomberg)
Score: 42🌐 MovesJun 4, 2026https://www.bloomberg.com/news/videos/2026-06-04/android-s-samat-on-integrating-ai-into-the-ecosystem-video - The AI IPO Race Heats Up, DOGE Whistleblower Sues Elon Musk, and Instagram Gets Hacked
On Uncanny Valley, we dive into the IPO bonanza that the top AI companies are embarking on to the point where some real estate listings are looking for not just regular old cash, but Anthropic stock.
- What Anthropic and OpenAI IPOs spell for CIOs’ AI budgets
AI pioneers Anthropic and OpenAI both appear to be headed toward IPOs, leaving IT leaders whose organizations rely on their AI models wondering what might be in store for them. Top of mind is the possibility of higher costs for enterprise use, especially for frontier models. By offering stock for sale, the two AI innovators will likely raise hundreds of millions of dollars to invest in their products and pay their bills. But many observers worry that by shifting their focus from private, research-focused organizations to publicly traded companies, both Anthropic and OpenAI will be under new pressure to turn a profit. OpenAI’s enterprise customers should expect substantial price increases after an IPO, especially those who are leaning hard on API usage, copilots, agents, and custom deployments, says Mark Vena , CEO and principal analyst at IT research firm SmartTech Research. Vena sees an Anthropic IPO landing differently, with the company’s broad focus on AI safety. “It is selling enterprise trust, safety, developer productivity, and a more buttoned-up brand of AI that CFOs and CIOs can actually explain to their boards,” he says. “Frankly, I think OpenAI is the cultural rocket ship, but Anthropic is shaping up as the institutional AI bet.” Still, there are concerns about Anthropic’s ability to generate profits, he adds. “Let’s face it: The big question for Anthropic is whether public investors will reward discipline or punish the brutal economics of frontier AI,” he adds. “Training models, renting compute, and keeping pace with OpenAI, Google, Meta, and xAI is insanely expensive, so Anthropic will have to prove it is more than a very elegant cash-burning machine.” Anthropic announced that it had filed for an IPO on June 1 after news reports that OpenAI was also headed in that direction. Though OpenAI declined to comment on a potential IPO, news reports suggest that the company will announce one within the next few weeks , with the initial stock sale potentially happening in September. IPOs would bring several other changes, Vena notes, including more transparency, more scrutiny, and more enterprise discipline around governance, uptime, security, and roadmap commitments. But new pricing models are likely as well. “An OpenAI IPO would turn the company from a fast-moving AI lab into a Wall Street–monitored platform vendor,” Vena says. “Users should expect less ‘move fast and surprise everybody’ energy and more pressure to package, meter, and monetize everything.” End of the research lab model Other observers express similar fears about OpenAI’s pricing models after an IPO. Leo Derikiants , CEO and cofounder at AI research firm Mind Simulation Lab, says IT leaders should expect steep API price hikes, the introduction of expensive premium enterprise tiers for basic data privacy, and increasingly opaque billing models. “An OpenAI IPO signals the end of the ‘research lab’ illusion and the birth of a traditional tech monopoly,” he adds. “Public markets demand predictable, escalating revenue, but OpenAI’s core technology — autoregressive LLMs — is fundamentally unpredictable and probabilistic.” Anthropic, meanwhile, seems to be headed toward an IPO in a stronger, more defensible position than OpenAI, he says. While both companies rely on similar probabilistic and autoregressive architectures, Anthropic has focused less on consumer-facing toys such as video generation and more on the corporate enterprise market, giving the company a stable revenue foundation, he notes. The Anthropic IPO announcement, however, also confirms a disappointing truth — that the AI market is driven by herd mentality, Derikiants says. “The major labs are running in circles, building the exact same probabilistic products with different branding, without questioning the architectural limits or the actual long-term value,” he says. “The industry has completely lost the original plot. The foundational goal used to be achieving true artificial general intelligence (AGI). Today, the only goal is maximizing monthly subscription revenue.” CIOs should prepare for aggressive vendor lock-in tactics, forced ecosystem bundling, and a shift away from flexible, open-source-friendly initiatives, he predicts. The corporate focus will pivot from creating safe AI to trapping enterprise data within the company’s proprietary API walls to maximize shareholder value, he says. AI vendors caught in an AI scaling trap, with its architecture requiring exponentially more computing power and energy to yield marginal improvements in reasoning, he adds. “Operating these models is fundamentally inefficient and heavily subsidized by venture capital,” he notes. “Once public, Wall Street will not tolerate those massive infrastructure losses indefinitely.” After an IPO, customers of both companies should expect new pricing models to emerge, says Richard Amos , CIO at systems integrator and cloud services provider Blue Mantis. An organization’s priorities change when it transitions from a startup to a publicly traded company, he adds. “Before an IPO, the focus is largely on innovation, growth, and potential,” he says. “Once public, the expectations change and shareholders demand consistent quarterly performance, regulatory compliance, and enterprise-grade reliability.” Amos expects several positive developments, with a greater emphasis on platform stability, security, compliance, and the development of more industry-specific capabilities after an OpenAI IPO. At the same time, he expects AI vendors will move away from enterprise-wide licensing toward consumption-based pricing, mirroring trends in the public cloud market. With many reports suggesting OpenAI is currently operating at a loss, Amos sees the company revamping its pricing models after an IPO. The company could, for example, move to premium pricing for advanced capabilities such as higher-end models, agentic workflows, and advanced orchestration. In response, some users will adopt AI FinOps solutions to balance consumption and business value, Amos predicts. “We will see some price increases, and I believe that we will have new tools or licensing constructs to manage the cost of the ecosystem,” he adds. New pricing model Days before announcing its IPO, Anthropic unveiled a new metered pricing model for some of its products. Meanwhile, OpenAI’s new Guaranteed Capacity subscription model points to a new pricing philosophy that moves the focus away from selling flexible API tokens and toward a predictable, contractually locked enterprise utility requiring companies to make upfront multi-year spending commitments, notes Eugina Jordan , CEO and cofounder at unified intelligence provider YOUnifiedAI. OpenAI also announced a new consulting company in May. Becoming a publicly traded company will likely increase pressure to revamp pricing, Jordan says. “An OpenAI IPO would drastically reshape the landscape for IT leaders, shifting the company from an agile tech pioneer to a public entity tethered to Wall Street’s quarterly earnings demands,” she adds. “While a massive influx of public capital could fund the robust infrastructure needed to stabilize enterprise products, the immediate reality for users is a sharp pivot toward aggressive monetization.” However, there’s some good news for enterprise AI users as several major competitors have emerged since OpenAI opened the AI floodgates with its release of the first version of ChatGPT in late 2022, Jordan says. Anthropic has rapidly become the default choice for enterprise developers and deep coding, Google’s Gemini has leveraged its unmatched workspace distribution, and Mistral is securing the European open-source stronghold, she notes. “This push for predictable enterprise revenue comes at a time when OpenAI is facing a fragmented, highly aggressive competitive landscape where being the first mover is no longer a guarantee of winning,” she adds. “Much like the historic shifts where Yahoo lost to Google or MySpace fell to Facebook, OpenAI is finding that pioneering a technology is very different from scaling it, and an IPO will force them to mature rapidly, just as their competitors are successfully chipping away at their enterprise armor.” SmartTech Research’s Vena also sees several major competitors, including Google, xAl, and Meta. “From my perspective, OpenAI is still a leader, but it no longer owns the AI narrative uncontested,” he says. “OpenAI still has brand gravity and product momentum, but the next phase will be less about who has the flashiest demo and more about who can deliver durable, secure, cost-effective AI at scale.”
Score: 42💰 MoneyJun 4, 2026https://www.cio.com/article/4181090/what-anthropic-and-openai-ipos-spell-for-cios-ai-budgets.html - Why AI companies need consumers to pay for service, but may not get them to
AI firms are betting users will pay monthly for advanced models, but subscription fatigue and bundled ecosystems may reshape how artificial intelligence is monetised
- Circular Financing Has Muddied the AI Story. Watch the Application Layer Instead.
The story being written by the AI market is extraordinary by almost any measure. OpenAI’s revenue grew from $2 billion in 2023 to $20 billion in 2025. Anthropic’s annualized revenue run rate surged from $87 million in January 2024 to $30 billion by April 2026, a trajectory that Salesforce took 20 years to achieve. NVIDIA’s […] The post Circular Financing Has Muddied the AI Story. Watch the Application Layer Instead. appeared first on IDC .
- New Workforce Study Finds AI Capabilities Reaching More Occupations Earlier Than Anticipated
A new study suggests artificial intelligence is reshaping the workforce faster than previously expected, with 93% of occupations now considered AI-capable. While concerns around job disruption remain, researchers believe AI is increasingly augmenting work across both digital and physical industries by supporting tasks such as planning, diagnostics, documentation, and workflow management, accelerating changes across the labour market well ahead of earlier projections.
- Goldman lifts MSCI EM target on AI boost, flags Iran deal relief for forex, bonds
The brokerage raised its benchmark index target to 2,000 from 1,850, implying a nearly 12% upside from its last close of 1,787.88
- AIs like ChatGPT fall apart in classic 'Stroop' psychological test — and that could stand in the way of achieving artificial general intelligence
New research is causing quite some controversy on Reddit — but it makes some very interesting points.
- How AI has de-skilled translation
A specialist knowledge-work job has become fragmented and routine
- New AI Model Shows How to Evacuate for Fires One Safe Step at a Time
A NIST-led team has created a new AI model that can identify safe evacuation routes in a single-story floor plan during a fire, with a multilevel version in the works.
Score: 42🤖 ModelsJun 4, 2026https://www.nist.gov/news-events/news/2026/06/new-ai-model-shows-how-evacuate-fires-one-safe-step-time - Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
At our latest Snorkel AI Reading Group, Yijia Shao (Stanford NLP) stopped by our San Francisco office to present Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration. As LLM agents get better at automating tasks on their own, a large class of real-world problems still needs a human in the loop – for their preferences, their domain expertise, or simply for control.... The post Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration appeared first on Snorkel AI .
- AI gets a body, and capital changes its gaze (KOR)
Lee Soo-hwa The author is a research professor of Big Data Innovation Convergence College at Seoul National University and the head of the AI Center at DLG Law Corporation. AI’s next battleground is not the data center but the living room. The valuation of Boston Dynamics, a robotics company under Hyundai Motor Group, has reportedly climbed to around 30 trillion won ($19.6 billion). Meanwhile, LG Electronics recently launched Axium, its robotics actuator series, and announced plans to become a vertically integrated robotics company. Hyundai Motor Group has released a campaign video ahead of the 2026 FIFA World Cup, in which Atlas, the humanoid robot developed by its subsidiary Boston Dynamics, practices football skills. In the five-part training series, Atlas successfully performs a “Ghost Rabona” kick, deceiving defenders with the trick move. [PHOTO BY HYUNDAI MOTOR GROUP] “The appliance of the future is a humanoid,” Seoul National University Prof. Jang Byung-tak said, capturing a shift that is reshaping investor sentiment. This is not just another technology stock rally. Investors in western Seoul’s Yeouido and on Wall Street are placing a premium on the moment when AI, once confined to generating text on screens, enters the physical world through machines equipped with motors and metal frames. Behind this shift is a new understanding of intelligence. Intelligence is no longer viewed as the product of calculation alone. Humans do not record the world as cameras do; instead, they create meaning through interactions shaped by perception, experience and emotion — a process that cognitive science refers to as embodied cognition. Industrial robotic arms operate in highly controlled settings, where they repeat predefined tasks. Future humanoids, however, must function in far less predictable environments. A family living room, where children leave their toys scattered across the floor, presents challenges that do not exist on an assembly line. As a result, the humanoid race involves more than computing power. People constantly create unexpected situations. They can alter the location of furniture and other household items. They can dirty the floor. Even the seemingly simple act of washing dishes could require adaptation. The longstanding AI ambition of categorizing the world and governing it through fixed rules is insufficient for such conditions. Humanoids must learn by interacting with reality rather than relying solely on preprogrammed responses. Related Article Humanoid robots seem ready to do the heavy lifting, but concerns still weighty Boston Dynamics showcases Atlas' strength, ability to shoulder industrial weight Hyundai’s factory humanoid will differ from the Atlas that you know At CES 2026, a humanoid robot showdown between Korea and China Competition has already become global. China’s Unitree is pursuing aggressive expansion with relatively affordable humanoid robots. Tesla and major U.S. technology companies have begun deploying robots in their own factories. Korean firms are responding with advanced manufacturing capabilities. The key question is not who possesses the most sophisticated algorithm but who can build machines capable of functioning in imperfect human environments. The standards used to assess corporate value are also changing. Investors increasingly reward companies that move beyond controlled settings and into everyday life. The premium goes to those capable of recovering after failure and adapting to unexpected variables. Machines are no longer digital ghosts confined to screens. They are entering daily life in physical form. The future will belong to machines and organizations that can withstand real-world shocks and continue learning from them. A machine that never falls can never learn how to walk. AI가 몸을 얻자 자본의 시선이 바뀌었다 이수화 서울대 빅데이터혁신융합대학 연구교수·법무법인 디엘지AI센터장 인공지능(AI)의 다음 전쟁터는 백색가전이 사는 우리의 거실이다. 현대차그룹 산하 보스턴 다이내믹스의 기업가치가 30조원 규모로 뛰었다. LG전자가 로봇 구동장치 브랜드 악시움을 내놓으며 로보틱스 수직통합 기업으로 전환하겠다고 선언했다. “미래의 가전은 휴머노이드다”라는 장병탁 서울대 교수의 최근 발언은 이 흐름을 압축한다. 단순한 기술주 랠리가 아니다. 여의도와 월스트리트는 지금, 화면 속에서 텍스트를 생성하던 인공지능이 철과 모터를 갖춘 몸으로 현실 세계에 들어오는 순간에 프리미엄을 부여하고 있다. 이 변화의 배경에는 하나의 인식 전환이 있다. 지능은 뇌 속 계산만으로 완성되지 않는다는 생각이다. 인간은 세상을 카메라처럼 저장하지 않는다. 착시와 경험, 감정이라는 필터를 통해 세계와 부딪히며 의미를 만들어 낸다. 인지과학은 이를 ‘체화된 인지(embodied cognition)’라고 부른다. 공장의 로봇 팔이 정해진 환경에서 반복 작업을 수행하는 ‘온실형 기계’라면, 미래의 휴머노이드는 아이가 장난감을 어질러 놓은 거실이라는 야생 속으로 들어가야 한다. 현실은 공장 라인과 달리 예측 불가능하고 늘 어수선하다. 그래서 휴머노이드 경쟁의 본질은 계산 능력만이 아니다. 싱크대 앞 설거지조차 그렇다. 컵의 위치가 바뀌고, 바닥은 젖어 있으며, 인간은 늘 예외를 만든다. 세상을 완벽히 분류하고 규칙으로 통제할 수 있다는 오래된 AI의 꿈만으로는 이 현실을 헤쳐 나가기 어렵다. 휴머노이드는 완벽한 계산기가 아니라, 현실과 충돌하며 배우는 존재다. 판은 이미 글로벌 경쟁으로 옮겨갔다. 1000만원대 가격으로 물량 공세를 펼치는 중국 유니트리, 자사 공장에 실전 배치를 시작한 테슬라와 미국 빅테크, 정교한 제조 역량으로 맞서는 한국 기업들이 각자의 강점을 앞세워 치열하게 경쟁하고 있다. 이 경쟁에서 기업가치를 가르는 기준도 달라지고 있다. 프리미엄은 통제된 환경을 떠나 인간의 현실 속으로 들어가는 기업에 돌아간다. 넘어지고, 실패하고, 예상치 못한 변수에 흔들리면서도 다시 균형을 찾는 능력이다. 반면 위기의 순간 인간 개입에 기대는 안전지대형 모델은 시장의 냉혹한 할인 평가를 피하기 어려울 것이다. 기계는 더는 모니터 속 유령이 아니다. 철과 실리콘의 몸을 입고 우리 일상 속으로 들어오고 있다. 텍스트를 다루는 영리함을 넘어, 현실의 충격 속에서도 다시 세계와 접속하는 능력을 갖춘 기계와 조직이 미래를 가져갈 것이다. 넘어지지 않는 기계는 결코 걷는 법을 배우지 못한다. This article was originally written in Korean and translated by a bilingual reporter with the help of generative AI tools. It was then edited by a native English-speaking editor. All AI-assisted translations are reviewed and refined by our newsroom.
- VinRobotics takes humanoids to ICRA and COMPUTEX, signalling Vietnam’s rise in robotics
Vietnam’s VinRobotics pushed its third-generation humanoid, the VR-H3, onto several major international stages from late May to early June, testing its mettle against scrutiny from academics, industry heavyweights and the public. The company, part of conglomerate Vingroup, presented the robot at the IEEE International Conference on Robotics and Automation (ICRA) 2026 in Vienna, its outdoor […] The post VinRobotics takes humanoids to ICRA and COMPUTEX, signalling Vietnam’s rise in robotics appeared first on e27 .