OpenAI has announced plans to launch an AI-powered hiring platform to compete with LinkedIn directly. The service, OpenAI Jobs Platform, is expected to debut by mid-2026.
Applications CEO Fidji Simo said the platform will help businesses and employees find ideal matches using AI, with tailored options for small businesses and local governments. The Texas Association of Business plans to use the platform to connect employers with talent.
The move highlights OpenAI’s efforts to expand beyond ChatGPT into a broader range of applications, including a browser, a social media app, and recruitment. The company faces intense competition from Microsoft-owned LinkedIn, which has been adding AI features of its own.
Alongside the hiring initiative, OpenAI is preparing to pilot its Certifications programme through the OpenAI Academy. The scheme will provide certificates for AI proficiency, with Walmart among the first partners.
OpenAI aims to certify 10 million Americans by 2030 as part of its commitment to advancing AI literacy.
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The proprietary software firm Atlassian is entering the AI browser market with a $610 million deal to acquire The Browser Company of New York, creator of Arc and Dia. The move signals an attempt to turn browsers into intelligent assistants instead of leaving them as passive tools.
Traditional browsers are blank slates, forcing users to juggle tabs and applications without context. Arc and Dia promise a different approach by connecting tasks, offering in-line AI support, and adapting to user behaviour. Atlassian believes these features could transform productivity for knowledge workers.
Analysts note, however, that AI browsers are still experimental. While they offer potential to integrate workflows and reduce distractions, rivals like Chrome, Edge and Safari already dominate with established ecosystems and security features. Convincing users to change habits may prove difficult.
Industry observers suggest Atlassian’s move is more a long-term bet on natural language and agentic browsing than an immediate market shift. For now, AI browsers remain promising but unproven alternatives to conventional tools.
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Private backing for UK AI companies has reached £2.9 billion, with average deals of £5.9 million, driving record growth across the sector. Ministers say investment is spreading regionally, with the number of firms in the Midlands, Yorkshire, Wales, and the North West doubling in just three years.
At Mansion House, Technology Secretary Peter Kyle urged industry to cut red tape, expand data centres, and attract global talent. He emphasised that public trust, supported by AI assurance measures, is crucial for growth.
The assurance roadmap aims to add billions to the economy by creating a dedicated profession to review AI systems for safety, ethics, and accountability. Independent experts will be tasked with certifying systems, while a consortium of professional bodies develops a code of ethics to guide standards.
Further initiatives include £2.7m to boost regulator capacity and AI projects for Ofgem, the Civil Aviation Authority, and the Office for Nuclear Regulation, covering energy, aviation, and nuclear waste.
Officials say these measures will help position the UK as a world leader in AI innovation, while ensuring growth is matched with robust oversight and public confidence in the technology.
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A new study by the European Travel Commission shows that national tourism organisations (NTOs) are experimenting with AI but are facing gaps in strategy and skills.
Marketing teams are leading the way, applying AI in content generation and workflow streamlining, whereas research departments primarily view the tools as exploratory. Despite uneven readiness, most staff show enthusiasm, with little resistance reported.
The survey highlights challenges, including limited budgets, sparse training, and the absence of a clear roadmap. Early adopters report tangible productivity gains, but most NTOs are still running small pilots rather than embedding AI across operations.
Recommendations include ring-fencing time for structured experiments, offering role-specific upskilling, and scaling budgets aligned with results. The report also urges the creation of shared learning spaces and providing practical support to help organisations transition from testing to sustained adoption.
ETC President Miguel Sanz said AI offers clear opportunities for tourism boards, but uneven capacity means shared tools and targeted investment will be essential to ensure innovation benefits all members.
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According to people familiar with the plans, Chinese startup DeepSeek is developing an AI model with enhanced agent features to compete with US firms such as OpenAI.
The Hangzhou-based company intends for the system to perform multi-step tasks with limited input and adapt from its previous actions.
Founder Liang Wenfeng has urged his team to prepare the release before the end of 2025. The project follows DeepSeek’s earlier success with R1, a reasoning-focused model launched in January that attracted attention for its low development costs.
Since then, DeepSeek has delivered only incremental updates while rivals in China and the US have accelerated new product launches.
The shift towards AI agents reflects a broader industry move to develop tools capable of managing complex real-world tasks, from research to coding, with less reliance on users. OpenAI, Anthropic, Microsoft, and Manus AI have already introduced similar projects.
Most systems still require significant oversight, highlighting the challenges of building fully autonomous agents.
The cloud computing services offered by IBM will end free human support under its Basic Support tier in January 2026, opting for an AI-driven self-service model instead.
Users will lose the option to open or escalate technical cases through the portal or APIs. However, they can still report service issues via the Cloud Console and raise billing or account cases through the Support Portal.
IBM will direct customers to its Watsonx-powered AI Assistant, upgraded earlier in the year, while introducing a ‘Report an Issue’ tool to improve routing. The company plans to expand its support library to provide more detailed self-help resources.
Starting at $200 per month, paid support will remain available for organisations needing faster response times and direct technical assistance.
The company describes the change as an alignment with industry norms. AWS, Google Cloud and Microsoft Azure already provide free tiers that rely on community forums, online resources and billing support.
However, IBM Cloud holds only 2–4 percent of the market, according to Synergy Research Group, which some analysts suggest makes cost reductions in support more likely. Tencent, another provider, previously withdrew support for basic users because they were not profitable.
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Starbucks will deploy an AI-powered inventory system across all North American stores. Built with NomadGo, it automatically scans shelves using AR and computer vision to flag low stock.
Counts that once took an hour now take about 15 minutes, enabling up to eight counts weekly. The system frees staff to focus on service while providing real-time data for more intelligent supply chain decisions.
The rollout follows other digital upgrades, including a Shift Marketplace for scheduling, Green Dot Assist for AI support, and a new point-of-sale system. Together, these tools show Starbucks’ growing reliance on AI.
Competitors like McDonald’s and Chick-fil-A are also turning to AI for back-of-house operations. From accuracy scales to computer vision food checks, fast-food chains are betting heavily on automation to boost efficiency.
For Starbucks, success will be judged by fewer shortages, consistent customer experiences, and staff reinvested in service. AI-driven accuracy could become a defining advantage in an industry built on trust.
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PayPal has introduced ‘Pay with Crypto,’ a settlement feature that lets US merchants accept over 100 digital currencies, including Bitcoin, Ether, Solana, and stablecoins. Shoppers pay from wallets like MetaMask or Coinbase, and merchants receive instant payouts in dollars or PYUSD.
The service is designed to eliminate volatility risks by automatically converting crypto into fiat or stablecoins. Merchants benefit from near-instant settlement, lower fees than traditional card payments, and optional yield on PYUSD balances.
Small and medium-sized enterprises are expected to gain the most from global reach, quicker cash flow, and reduced costs.
For consumers, the process mirrors card payments. Buyers simply connect a wallet at checkout and pay in crypto, while merchants receive stable-value settlements.
The system enables non-custodial wallet users to spend crypto directly, turning digital assets into usable currency without relying on exchanges.
PayPal’s long-term goal is to create a global crypto-enabled infrastructure. With partnerships such as Fiserv and its upcoming World Wallet alliance, PayPal plans to integrate stablecoins and enable seamless cross-border payments through Fiserv and its World Wallet alliance.
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Researchers have shown that AI can analyse coronary scans after a heart attack and predict future risks better than traditional review. The findings come from the PECTUS-AI study, published in the European Heart Journal.
Using optical coherence tomography, the AI algorithm identified vulnerable plaques across entire artery segments.
Patients with these thin-cap fibroatheromas were found to have significantly higher rates of death, repeat heart attacks or unplanned procedures over two years.
Manual frame-by-frame review by specialists remains time-consuming and inconsistent, while AI delivers a faster and more standardised assessment.
Researchers say further validation is needed before routine adoption, but the technology could play an important role in secondary prevention.
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At the Industrial AI Expo in Seoul, Nvidia, Microsoft, and other global tech leaders are showcasing their latest AI technologies.
The three-day exhibition opened on Wednesday at COEX under the theme of integrating AI with industries.
On the sidelines, the Korean Agency for Technology and Standards signed an agreement with 10 significant industry associations to pool high-quality data for AI applications.
Officials say this collaboration will support innovation in the manufacturing supply chain.
The government emphasised its commitment to expanding AI-driven factories and physical AI systems to boost industrial competitiveness. Officials stressed that closer cooperation with the private sector will be essential to achieving these goals.
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