A new Anthropic report finds AI has not yet caused significant job losses, introducing ‘observed exposure’ to measure actual workplace AI use.
Researchers combined language model capabilities with workplace data to identify occupations at risk of disruption. Although AI can perform many tasks, its actual adoption remains much lower across most industries, which is a main finding of the study.
Even in highly digital professions, only a fraction of potential automation results from AI use. For instance, computer and mathematics occupations rank among the most AI-exposed groups. Despite AI’s capability to assist with many tasks, it currently covers only about 33% of them in these fields.
Across the broader economy, many roles experience little or no impact from AI, which represents a key finding. About 30% of workers are in jobs such as cooking, bartending, mechanics, and lifeguarding, where physical tasks dominate, and measured AI exposure is almost zero.
The report also finds no clear evidence that AI adoption has increased unemployment or caused a spike in job losses since generative AI tools began spreading widely in 2022. Rather than triggering sudden job losses, researchers suggest labour-market effects emerge gradually, through slower hiring, shifting skill requirements, and changes in job composition.
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Google has launched its new AI Centre in Berlin, creating a hub for researchers, developers, and leaders from Google DeepMind, Google Research, and Google Cloud. The centre aims to foster collaboration, debate, and innovation in AI.
The opening event highlighted the company’s work in advancing science and healthcare through AI-enabled agents and platforms. Google announced long-term research partnerships with the Technical University of Munich and Helmholtz Munich, backed by the Google.org AI for Science fund.
Built on Google’s existing research and engineering foundations in Germany and globally, the Berlin centre emphasises AI innovations with societal benefits. It will connect experts from science, business, academia, and politics to drive forward responsible AI development.
The centre will also serve as a platform for public engagement, hosting workshops, lectures, and events to raise awareness about AI applications, ethical considerations, and future opportunities across industries and communities.
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Roblox Corporation has unveiled an AI-powered real-time chat rephrasing feature designed to maintain civility while keeping in-game conversations fluid. Previously, messages containing profanity were blocked with hashmarks, disrupting gameplay.
The new system automatically rephrases inappropriate language into more respectful alternatives while preserving the original meaning. Users in the chat are notified when their messages are rephrased, ensuring transparency.
The feature supports in-game chat between age-verified users and all languages via Roblox’s automatic translation. The company consulted its TEEN COUNCIL to design the system, ensuring it reflects how teens naturally communicate.
Earlier experiments with real-time warnings and notifications reduced filtered messages and abuse reports by 5–6%, indicating the approach’s effectiveness.
Roblox is also enhancing its text filters to detect complex attempts to bypass Community Standards, such as leet-speak or symbols. Testing shows a 20-fold reduction in missed cases involving the sharing of personal information, such as social handles or phone numbers.
These upgrades represent a significant step toward safer, more natural in-game chat.
The company plans to continue refining these tools, aiming to minimise disruptions further while promoting civil communication. Users can expect iterative improvements and additional controls in the future to enhance chat safety and overall user experience.
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The US tech company Oracle has introduced a new AI platform to predict safety risks across construction projects.
A system called Advisor for Safety that aims to shift industry practices from reactive incident response to predictive risk prevention.
The AI model was trained using safety information equivalent to more than 10,000 project-years across multiple project types and locations.
By analysing historical patterns, the platform generates weekly forecasts that identify projects statistically most likely to experience safety incidents.
The solution also integrates structured safety observation tools through systems such as Oracle Aconex and Oracle Primavera Unifier, allowing field teams to collect consistent data on mobile devices or web platforms.
These inputs improve predictive accuracy while enabling organisations to track potential hazards earlier in the project lifecycle.
According to Oracle, the system combines data streams ranging from incident reports and payroll records to project schedules and operational metrics.
Early adopters reportedly reduced workplace incidents by up to 50 percent and workers’ compensation costs by as much as 75 percent during the first year of use.
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A new study introduces observed exposure, a measure that combines theoretical AI capability and real-world use to estimate which jobs are most susceptible to automation. Tasks performed by LLMs and actively automated at work receive higher exposure scores.
Computer programmers, customer service representatives, and financial analysts rank among the most exposed occupations.
The analysis finds that AI is far from reaching its full potential, with many tasks still beyond current capabilities. Occupations with higher observed exposure tend to grow more slowly, and workers in these roles are more likely to be older, female, highly educated, and earn higher wages.
Early evidence suggests that the hiring of younger workers aged 22-25 may be slowing in highly exposed occupations. While these effects are small, they may indicate initial labour market adjustments as AI tools become more integrated into workplace tasks.
Researchers emphasise that observed exposure provides a framework for tracking AI’s economic impact over time, helping policymakers and businesses identify potential vulnerabilities.
The study underscores the gap between AI’s theoretical capabilities and actual usage, highlighting the importance of monitoring adoption patterns. The framework uses task automation and job data to track AI’s impact on the workforce.
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Meta has announced that third-party AI chatbots will again be allowed to operate through WhatsApp in Europe, reversing restrictions introduced earlier this year.
The decision follows pressure from the European Commission, which had warned it could impose interim competition measures.
Earlier in 2026, Meta limited access to rival chatbot services on the messaging platform, prompting regulators to examine whether the move unfairly restricted competition in the rapidly expanding AI market.
WhatsApp remains one of the most widely used messaging applications across European countries, making platform access critical for emerging AI services.
Under the new arrangement, companies will be able to distribute general-purpose AI chatbots via the WhatsApp Business API for 12 months.
The change is intended to give European regulators time to complete their investigation while allowing competing AI services to operate within the platform ecosystem.
Meta has also indicated that businesses offering chatbots through WhatsApp will be required to pay fees to access the system.
The European Commission is now assessing whether these adjustments sufficiently address competition concerns surrounding the integration of AI services inside major digital platforms.
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AI is beginning to reshape corporate strategy as organisations shift from isolated technology experiments to broader operational transformation.
According to OpenAI, businesses that treat AI as a collection of disconnected pilots risk missing the bigger structural change that the technology enables.
A new framework describes five value models through which AI can gradually reshape companies. The first stage focuses on workforce empowerment, where tools such as ChatGPT spread AI capabilities across teams and improve everyday productivity.
Once employees develop fluency, organisations can introduce AI-native distribution models that transform how customers discover products and interact with digital services.
More advanced stages involve specialised systems. Expert capability integrates AI into research, creative production, and domain-specific analysis, allowing professionals to explore a wider range of ideas and experiments.
Meanwhile, systems and dependency management introduce AI tools capable of safely updating interconnected digital environments, including codebases, documentation, and operational processes.
The final stage involves full process re-engineering through autonomous agents. In such environments, AI systems coordinate complex workflows across departments while maintaining governance, accountability, and auditability.
Organisations that successfully progress through these stages may eventually redesign their business models rather than merely improving efficiency within existing structures.
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The Google Threat Intelligence Group (GTIG) has identified a powerful exploit toolkit, Coruna, that targets Apple iPhones running iOS versions 13.0 to 17.2.1.
The toolkit contains five complete exploit chains and 23 exploits designed to compromise devices using previously unseen techniques and mitigation bypasses.
Parts of the exploit chain were first detected in early 2025, when a client of a commercial surveillance vendor used them. Later investigations revealed the same framework in highly targeted attacks against Ukrainian users linked to a suspected Russian espionage group.
Toward the end of the year, the toolkit resurfaced in large-scale campaigns linked to financially motivated actors operating from China.
Coruna relies on a sophisticated JavaScript framework that identifies iPhone models and their iOS versions before delivering the appropriate WebKit remote code execution exploit and additional bypass techniques.
Several vulnerabilities exploited by the toolkit had previously been treated as zero-day flaws, highlighting the growing circulation of advanced cyber-attack tools among multiple threat actors.
Google warned that the payload can steal sensitive data, including financial and cryptocurrency wallet information, and allows attackers to deploy additional modules remotely.
The company has added related malicious domains to Safe Browsing and urged users to install the latest iOS updates, noting that the exploit kit does not affect the newest version of Apple’s operating system.
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South Korea’s ruling Democratic Party and the Financial Services Commission have agreed to cap major shareholder stakes in domestic crypto exchanges at 20%. Exceptions of up to 34% would apply to new businesses to support early-stage operators.
Large exchanges like Upbit and Bithumb will have 3 years to comply, while smaller platforms will receive an additional 3-year grace period.
Current ownership exceeds the proposed cap, with Upbit at 25.5%, Bithumb at 73.6%, and Coinone at 53.4%. Korbit’s pending acquisition would give Mirae Asset Consulting 92% ownership, highlighting the extent of concentrated holdings in the market.
The cap seeks to curb governance risks from concentrated shareholding, following the FSC’s January 2026 proposal. The move gained urgency after Bithumb’s accidental $43 billion Bitcoin transfer, which raised concerns about internal controls.
The ownership limit will likely be included in South Korea’s upcoming Digital Asset Basic Act, alongside rules on stablecoins and crypto ETFs.
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U Mobile has been ranked Malaysia’s fastest 5G network for the third and fourth quarters of 2025, according to Ookla Speedtest Awards data drawn from millions of real-world user tests.
The result is attributed to the company’s ULTRA5G network, which deploys advanced antenna technologies, including 64T64R systems and extremely large antenna arrays, to boost coverage and handle heavier data traffic.
Chief Technology Officer Woon Ooi Yuen said the recognition validates the company’s infrastructure investments, emphasising that the award reflects actual user experience rather than controlled lab conditions.
U Mobile is targeting 5G coverage across 80% of populated areas in Malaysia by the second half of 2026, with its rollout said to be ahead of schedule.
Beyond coverage expansion, U Mobile has signed a memorandum of understanding with ZTE Malaysia to explore AI-native capabilities in its 5G core network.
The collaboration centres on integrating AI tools for traffic prediction, automated network management, and security monitoring, with digital twin technology potentially allowing engineers to simulate changes before deployment.
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