AI News Archive: May 27, 2026 — Part 16
Sourced from 500+ daily AI sources, scored by relevance.
- HP tops revenue, profit estimates thanks to strong demand for AI-optimized PCs
PC makers including HP, Dell Technologies and China’s Lenovo Group are navigating a shortage of memory chips
- Trump appoints former Attorney General Bondi to White House AI panel, Axios reports
Trump appoints former Attorney General Bondi to White House AI panel, Axios reports Reuters
- US funds set aside cash as SpaceX and OpenAI prep IPO
Large mutual funds and passive index funds are starting to set aside more cash and preparing to offload some of their existing holdings in large-cap stocks, as they prepare to add upcoming blockbuster IPOs like SpaceX and OpenAI to their portfolios.
- Amazon Launches Service to Put AI Shopping Assistants on Other Retailers’ Sites
Amazon Launches Service to Put AI Shopping Assistants on Other Retailers’ Sites The Information
- Amazon is licensing its AI shopping technology to other retailers through AWS
The AWS Agentic Shopping Assistant packages the architecture behind Alexa for Shopping, and Kate Spade has already deployed it
- Amazon offers its AI shopping tech to outside retailers in new phase of agentic commerce race
AWS is releasing the Agentic Shopping Assistant, a tool that lets retailers build AI shopping experiences using the same technology behind Amazon's Alexa for Shopping, which drove nearly $12 billion in incremental sales last year. Read More
- Some users may be giving Google's AI search the bird, and DuckDuckGo is benefiting
Some users may be giving Google's AI search the bird, and DuckDuckGo is benefiting Business Insider
- DuckDuckGo is growing thanks to Google users frustrated by AI features
After Google announced new AI search features, competitor DuckDuckGo's app downloads boomed.
- DuckDuckGo Sees Surge in Installs After Google Goes All-In on AI Search at I/O
DuckDuckGo Sees Surge in Installs After Google Goes All-In on AI Search at I/O PCMag UK
- ResVR Launches AI-Powered Assistant to Transform How Buyers Design and Purchase Homes
ResVR Launches AI-Powered Assistant to Transform How Buyers Design and Purchase Homes Toronto Star
- Daylight Expands MDR Capabilities Into Claude Enterprise as AI Security Risks Become Enterprise Priority
Daylight Expands MDR Capabilities Into Claude Enterprise as AI Security Risks Become Enterprise Priority markets.businessinsider.com
- Kuaishou beats estimates as Kling AI video generator’s revenue jumps 300%
Chinese short-video company Kuaishou Technology beat estimates with 33.7 billion yuan (US$5 billion) in revenue in the first quarter, driven by the rapid commercialisation of its flagship artificial intelligence video generator, Kling AI. Overall revenue grew 3.4 per cent, but Kling’s revenue surged more than 300 per cent to 650 million yuan in the period, the company said on Wednesday. “AI technologies continued to provide the momentum for our content prosperity, business growth and...
- Qualcomm Strikes AI Chip Deal With ByteDance
Qualcomm Strikes AI Chip Deal With ByteDance The Information
- Snowflake Shares Jump 35% as AI Product Adoption Grows
Snowflake Shares Jump 35% as AI Product Adoption Grows The Information
- Snowflake Reports Earnings Today Amid Software Turmoil. AI Needs Its Services, Says CEO.
Snowflake Reports Earnings Today Amid Software Turmoil. AI Needs Its Services, Says CEO. Barron's
- OpenAI Foundation is committing $250 million to help workers navigate AI disruption
The non-profit will fund research into AI's labor market effects, near-term worker support, and new models for distributing economic gains
- Samsung memory chip staff in line for £310,000 bonuses after AI profit-sharing deal
Agreement averts strike and shows latest impact of AI boom as two more chipmakers join $1tn club Employees at Samsung Electronics’ memory chip division are to receive bonuses averaging about £310,000 each through a landmark profit-sharing agreement, as the AI boom drives up chipmakers’ profits. Fears of a strike at Samsung were averted on Wednesday after two unions for the world’s largest memory chipmaker said 74% of the 62,616 workers who cast their votes had backed the deal. Continue reading...
- Samsung staff secure £300,000 bonuses on AI boom
Samsung staff secure £300,000 bonuses on AI boom The Telegraph
- Samsung averts strike action with AI-funded bonuses for chip workers
Samsung averts strike action with AI-funded bonuses for chip workers IT Pro
- Data center firm DigitalBridge in $1.1B deal to buy ArcLight
The deal reflects the “convergence of power, AI, and digital infrastructure,” the companies said. ArcLight owned about 20.8 GW as of June.
- Out-of-control employees are blowing AI budgets alarmingly fast
Out-of-control employees are blowing AI budgets alarmingly fast The Telegraph
- Ozzy Osbourne to thrill fans again as AI avatar
Ozzy Osbourne to thrill fans again as AI avatar The Telegraph
- North Korea tests AI-guided missiles
North Korea tests AI-guided missiles The Telegraph
- UK cyberspy chief calls AI 'unstoppable force' and warns about threats from Russia
In recent months, authorities in countries including Sweden, Poland, Denmark and Norway have alleged that hackers linked to Russia targeted their critical infrastructure, including power plants and dams.
- UK cyberspying chief calls AI ‘an unstoppable force’ and warns about Russia
Britain's cyberspying chief has warned that artificial intelligence is becoming an “unstoppable force” weaponized just below traditional warfare levels.
- UK cyberspying chief calls AI 'an unstoppable force' and warns about Russia
Britain's cyberspying chief has warned that artificial intelligence is becoming an “unstoppable force” weaponized just below traditional warfare levels
- UK Cyberspying Chief Calls AI ‘an Unstoppable Force’ and Warns About Russia
The speech is the latest in a string of warnings from intelligence experts that Russia is stepping up hostile activity in a “gray zone” that falls just below the threshold of war. The post UK Cyberspying Chief Calls AI ‘an Unstoppable Force’ and Warns About Russia appeared first on SecurityWeek .
- RevEng.AI raises $15M to secure AI-generated software
RevEng.AI, a cybersecurity companyfocused on software supply chain verification, has raised $15 million in aSeries A funding round led by NATO Innovation Fund, with participation fromSands Capital, In...
- RevEng.AI Raises $15 Million to Hunt for Flaws and Backdoors in Software Binaries
Using an AI model called BinNet, RevEng hunts vulnerabilities and backdoors in released software binaries. The post RevEng.AI Raises $15 Million to Hunt for Flaws and Backdoors in Software Binaries appeared first on SecurityWeek .
- Anthropic Appoints Sangeeta Bavi to Lead Startups, Growth in India
Sangeeta Bavi will work closely with founders, startups, and growth-stage companies adopting Anthropic’s AI technologies.
- AI to turbocharge patent creation at India tech hubs, say executives
Tech hubs have long outgrown their low-cost back-office origins to become innovation centres, but AI tools that can increasingly handle tasks have cast doubt on what role these centres will play next
- AI to turbocharge patent creation at India tech hubs, executives say
Global companies anticipate AI will boost new product and IP creation at Indian tech hubs, transforming routine tasks into complex innovation. Despite regulatory hurdles slowing local patent filings, India's skilled workforce and cost advantages continue to drive investment, positioning its centres for high-value work.
- Razorpay Launches Payment CLI for Developers and AI Agents
The launch is part of Razorpay’s broader push to build AI-ready financial infrastructure and reduce manual workflows tied to payments management.
- FinStocks AI
AI Trading Assistant for Autonomous Trading
- Razorpay brings Payment CLI to India; built for developers and the AI agent era
Towards a commitment to building an AI-ready financial infrastructure, Razorpay announced the launch of the Razorpay Command Line Interface (CLI) in India to let developers manage payments directly from where they write code, without switching tabs or logging into dashboards. The post Razorpay brings Payment CLI to India; built for developers and the AI agent era appeared first on Express Computer .
- TCS Bags AI-Led Transformation Deal From Sweden’s SKF to Modernise Global IT Operations
Discover how TCS is transforming SKF's IT operations and manufacturing with AI. Learn about this major deal and its impact on enterprise AI adoption. Read more
- Google Health Premium joins AI Pro as weekly email redesigned
Besides the new mobile app fully rolling out today, Google Health is joining the Google AI Pro subscription. more…
- Introducing Stan Lee on ElevenLabs
Introducing Stan Lee on ElevenLabs
- Vision 26: Motive offers vision of new era of physical AI operations
With physical operations teams increasingly pressed to solve two large challenges to the way they enable businesses – fragmented tools and time-consuming manual work – Motive has unveiled integrated hardware and artificial intelligence (AI) innovations in a major expansion of its platform for physical AI operations. Introduced at its Vision 26 summit, the innovations are designed to offer new capabilities to consolidate data into a single view and automate complex workflows with AI that takes action, enabling teams in the UK to focus on what matters most and unlock new levels of safety and productivity. “Every operations leader we talk to describes a common set of problems – their systems are too fragmented and their workflows are too manual. The answer is integration and automation,” commented the company’s CEO and co-founder, Shoaib Makani. “Motive has spent years breaking down the data silos. Now we’re helping our customers leverage AI to surface critical insights and automate interventions so they can run safer and more productive operations.” At the centre of the new lines is AI Omnicam Plus, Motive’s new automotive camera system that delivers AI-based 360-degree visibility around a vehicle. Built on the company’s AI Dashcam Plus platform, which was launched earlier in 2026 , and powered by the Qualcomm Dragonwing QCS6490 processor, it is designed to run more than 30 AI models simultaneously and is attributed with qualities such as being able to detect more road hazards in real time with high accuracy and low latency. Through an in-cab monitor, drivers can see what’s happening around the vehicle in real time from every angle. This 360-degree view, combined with real-time AI alerts, is intended to enable drivers to detect and respond to risks, such as pedestrians, cyclists and vehicles, to prevent incidents. The company has also upgraded the core combined vehicle AI Dashcam Plus product to detect more risks and prevent more collisions. The intention is to produce an AI dashcam that combines telematics and cameras in a unified device and allows advanced AI to detect unsafe behaviour and alert drivers in real time, so that teams can see more, act faster and prevent more collisions. Among the latter’s key new capabilities are collision avoidance, automatic licence plate recognition (ALPR), AI-powered speed sign detection and live two-way calling. Every operations leader we talk to describes a common set of problems – their systems are too fragmented and their workflows are too manual. The answer is integration and automation Shoaib Makani, Motive Two road-facing lenses and a Qualcomm AI processor are intended to make AI Dashcam Plus “see” as a human does. It tracks all objects on the road, from cars and bikes to people and animals, and predicts where they are heading. By calculating if someone is about to cross the driver’s path, it is said to be able to deliver earlier, more accurate alerts that give drivers the seconds they need to act fast and prevent collisions. A 1440p zoom lens with a narrow field of view captures licence plates while a vehicle is in motion. This could deliver essential evidence for hit‑and‑runs, road rage, theft and other incidents, to speed investigations and exonerate drivers. Furthermore, advanced computer vision reads speed limit signs directly off the road instead of relying on often outdated map databases. Tracking signs in real time, it ensures drivers are only alerted when they are actually speeding. This is designed to eliminate false alerts, build driver trust and enable more effective coaching. Another of the key launches is the Atlas AI assistant, designed to allow UK customers to have one place to ask questions, analyse data and take action. Powered by Motive AI, it surfaces vehicle insights from across the platform, with the aim of reducing the need to search across systems or rely on static reports. Applications include checking vehicle health, reviewing safety events and resolving compliance issues. The net result, according to Motive, is that what once took hours now “happens in seconds”, producing “faster, more confident” decisions while reducing manual work. Using Motive’s Model Context Protocol integration, Atlas is built to extend beyond the Motive Dashboard into third-party AI tools, such as Claude and ChatGPT. By connecting its data with other internal and third-party data sources, Motive said Atlas can automate complex strategic tasks, such as benchmarking insurance rates and generating data-backed renegotiation proposals, in seconds. Atlas also works with the Motive Voice Assistant, which takes intelligence directly to drivers on the road and enables safer operations and faster response in critical moments. With voice commands such as “Hey Motive, call dispatch” or “Hey Motive, record video”, drivers can get help, capture critical information and stay connected without taking their eyes off the road. Recognising that critical work currently depends on manual monitoring, which slows response and allows issues to escalate, Motive has also launched Automations to allow organisations in the UK to move from insight to action instantly. Automations trigger immediate action based on real-time signals, so managers no longer need to catch and respond to every issue themselves. An example cited is that if a vehicle reports a critical fault code, Motive can contact the driver immediately and instruct them to pull over, before the driver or manager even notices the issue. Managers can apply Automations across safety, maintenance and operations to address time-sensitive and hard-to-monitor tasks. Key features include the ability to detect excessive idling and prompt drivers to shut off the engine, flag hours-of-service and compliance risks before they become violations, and trigger Atlas to contact drivers when fatigue or critical fault codes are detected. By automating manual and urgent work, Motive was confident that it could help organisations reduce risk, improve productivity and ensure critical actions happen exactly when they are needed. Boosting its computer vision offer, Motive also introduced new ways that its AI Vision general-purpose computer vision product for physical operations is automating manual tasks for industries across the physical economy. Explaining the rationale for the enhancements, Motive noted that traditionally, drivers and field workers have had to manually document what they are observing in the field, such as service issues or site hazards. This manual process was slow, prone to error and costly. AI Vision looks to eliminate this so-called “manual burden” by observing the environment and automatically identifying and logging critical data in real time. By translating video into structured, actionable data, AI Vision looks to solve complex operational problems across the physical economy, from public sector infrastructure monitoring to construction site safety. Highlighting where it feels the product can be applied, Motive noted that for industries like waste services, AI Vision could deliver financial impact through specialised models for overage detection, recycling contamination detection and service verification. Overage detection, for example, could automatically identify overfilled waste containers at the point of service. Such insights could empower organisations to automatically verify work and accurately bill for violations, generating new revenue and right-sizing customer bins without requiring a single manual entry from the driver. Assessing the impact of the new suite of solutions, Adhish Luitel, research director of ABI Research, said Motive wasn’t just applying AI, it was generating the proprietary data that powers it. “By combining hardware, integrated data and proprietary built AI models, Motive moves beyond insight to real-time action in a way many software platforms cannot. The combination of hardware and well-executed AI improves safety and delivers measurable ROI for its customers,” he remarked. One user – Wayne Dawkins, fleet manager at VAD Commercials – said Motive had fundamentally shifted how the company safeguards its drivers and manages its fleet. “By integrating real-time detection with immediate action, the platform allows us to operate more safely, productively and profitably every single day. We have moved beyond simply identifying risk to proactively preventing it, and the new capability will help unlock even more as it helps us prevent more collisions and remove manual overhead.” Read more about fleet information systems Ford accelerates fleet data capability with Pro AI : Auto manufacturing giant introduces fleet management software aiming to help organisations manage their fleet operations more effectively and get daily tasks done. Connectivity, AI drive fleet safety, productivity and decision-making : Report into state of fleet technology across US reveals three key priorities for the year: increasing productivity, reducing costs and enhancing driver safety – with AI and connected technology serving as engines and usage-based insurance. Aftermarket car telematics arena drives past 90 million subscriptions : Study of aftermarket car telematics finds growing value in technology for application areas including stolen vehicle tracking and recovery, vehicle diagnostics, Wi-Fi hotspots and convenience applications. Ford Pro advances telematics for fleet management : Auto manufacturing giant updates fleet management software and reaffirms commitment.
- Motive unveils integrated AI Stack at Vision 26
Vision 26 brought Motive’s AI Dashcam Plus with stereo vision, Atlas AI and an automations engine that handles fault codes and coaching automatically. The post Motive unveils integrated AI Stack at Vision 26 appeared first on FreightWaves .
- 'Essentially, they wanted us to read their minds': Roku is rolling out a huge free upgrade to the Home Screen on its TVs and streaming devices — and the company explains how it arrived at the new personalized, sometimes AI-driven, redesign
Roku unveiled its biggest Home Screen update in a decade, and it leans into personalization and some AI.
- Another IT governance headache: AI-enabled sanction evasion
Over the next three to five years, both governments and the private sector will need to rapidly adapt identification and mitigation protocols as adversaries move from AI-assisted to AI-enabled sanctions evasion and proliferation financing (PF), a new research paper warns. The report , Algorithms of Evasion: The Rise of AI-Enabled Proliferation Financing, from the Royal United Services Institute ( RUSI ), a UK-based defense and security think tank, defines PF as the use of funds or financial services to acquire, develop or otherwise deal in weapons of mass destruction (WMD). It states, “North Korea and Iran are now developing and deploying AI models to aid with sanctions evasion activities.” Key findings include the fact that AI is now capable of mass producing high-quality fraudulent documents, as well as automating what the report describes as “the administrative minutia of managing extensive shell company networks.” AI powered systems, it states, can also “analyze blockchain patterns in real time to dynamically adjust cryptocurrency mixing strategies, effectively evading detection tools.” In addition, it says, “[tools such as generative AI] which can produce sophisticated fraudulent identification documents, for example, have helped North Korea perpetrate phishing attacks against Western companies.” Dr. Aaron Arnold , senior associate fellow with the Centre for Finance and Security at RUSI, who authored the paper, said in an email that what prompted it was an uptick over the last year in North Korea’s use of AI to facilitate and enhance its cyber operations, in the form of phishing schemes designed to generate revenue for the country’s ballistic missile and nuclear weapons programs. He advised enterprise IT managers who need to protect their organizations from becoming victims of sanction evasion activities that “[it] means largely adapting to a landscape where traditional human-focused security boundaries are being bypassed by automated technologies.” For IT managers, said Arnold, “this might entail incorporating defensive AI, the use of behavior-based analytics, using ‘circuit breakers’ when there is heavy use of API or MCPs, updating personnel training, and hardening identity verification, especially for any remote hiring.” Distinction between AI-assisted and AI-enabled activity is ‘central’ Sanchit Vir Gogia , chief analyst at Greyhound Research, said that the RUSI report matters “because it names the right structural shift. AI is not creating sanctions evasion from thin air, it is compressing and scaling methods that already work.” He pointed out that none of the sanction-evading techniques such as fraudulent documents, synthetic identities, shell companies, hidden beneficial ownership, crypto laundering, and others are new. “What changes is the speed, quality, volume and coordination with which these methods can now be assembled,” he said. According to Gogia, “the distinction between AI-assisted and AI-enabled activity is central. AI-assisted evasion uses AI for discrete tasks: writing a better email, producing a cleaner document, generating a stronger false profile, translating a pitch, summarizing regulations or preparing a plausible job application. AI-enabled evasion is more serious.” A ‘structural asymmetry’ This tactic, he said, “begins to coordinate the system itself. It links identity, documents, ownership structures, payment routes, cloud access, crypto wallets, API calls and timing. The difference is not whether AI helps someone fake a document. The difference is whether AI begins to orchestrate the deception.” That is why the report’s findings should worry enterprise leaders, he noted: “Many organizations still assume the bad actor is mostly human, mostly linear and mostly slow. That assumption is expiring. AI lets adversaries run more attempts, with fewer errors, across more channels, in more languages, with better paperwork and greater patience than most enterprise review processes can absorb. This is not a tale of genius criminals discovering magic. It is the story of ordinary controls meeting industrialized plausibility.” The evidence today, he pointed out, is strongest around tactics such as identity fraud, document fraud, synthetic personas, remote-worker deception, phishing, social engineering, crypto obfuscation and workflow abuse. “Fully autonomous evasion networks sit on the horizon,” he said. “They are serious, but they are not yet the everyday baseline.” This distinction matters, said Gogia: “If enterprises obsess over cinematic autonomous agent scenarios while leaving remote hiring, vendor onboarding, payment approvals, and document review full of holes, they will lose in the most prosaic way imaginable.” The report, he said, also gets the “asymmetry” right. “Offensive actors can learn across the ecosystem,” he said. “They can scrape open information, reuse leaked records, study enforcement patterns, test onboarding forms, inspect public procurement data, watch court filings, probe compliance thresholds and [use the information to] refine their behavior.” Defenders, by contrast, are hemmed in by privacy rules, fragmented data, explainability requirements, jurisdictional boundaries, conservative operating models and siloed technology estates. “Offensive AI learns broadly,” he said. “Defensive AI often learns from fragments. That is the structural asymmetry.” He explained that the regulatory landscape also amplifies the problem, in that regulatory bodies “still speak in separate dialects. [For example] the EU AI Act pushes organizations toward stronger obligations for high-risk AI. NIST-style frameworks push risk management, transparency, and governance.” A trust architecture problem Financial Action Task Force (FATF) expectations push national risk assessment and counter-proliferation controls, he noted, while banking regulators focus on model risk, accountability and operational resilience. “None of these streams is irrelevant. The trouble is that criminals do not organize themselves around regulatory workstreams. They organize around outcomes.” What that means, said Gogia, “is that enterprise cannot wait for a clean global rulebook. It will not arrive in time. CIOs, CISOs, compliance officers and boards need a working governance model now. They need privacy-preserving analytics, controlled data environments, audit trails, legal safeguards and clear model-risk accountability.” He said that enterprise IT managers should treat the situation as a trust architecture problem rather than a narrow sanctions-screening problem. “The uncomfortable truth is that AI is not simply helping bad actors write better phishing emails or forge tidier documents,” he noted. “It is helping them manufacture legitimacy across a chain of enterprise workflows.” Likely outcome an ‘AI arms race’ Report author Arnold also noted that there are signs that cyber criminals have discovered new AI technologies and abilities that legitimate enterprises could adopt for legitimate applications. History, he said, “is replete with [criminals] developing novel solutions to tough problems, [which are] later adopted by law enforcement. Much of our anti-financial crime policy is effectively a response to bad actors exploiting systems or using technology in novel ways to perpetrate crimes. In this scenario, I think an ‘AI arms race’ between enforcement authorities and bad actors is the most likely outcome.” Gogia added, “the baddies are not teaching enterprises how to invent AI. They are teaching enterprises where trust is leaking. That is the lesson worth taking seriously.” This article originally appeared on CIO.com .
- Companies Are Spending Millions on AI, but Many Still Feel Stuck
Being busy with AI is not the same as getting results.
- GCHQ teases “blueprint” for agentic AI national cyber defense
"We need businesses to take immediate action now.”
- Travelport, Cognizant and Anthropic collaborate to power travel technology for the AI Era
Travelport, Cognizant and Anthropic are building an AI travel ecosystem to modernize how travel technology is built, tested and maintained. Together they are closing the critical gap in AI-driven travel: connecting […] The post Travelport, Cognizant and Anthropic collaborate to power travel technology for the AI Era appeared first on Express Computer .
- Windsurf vs. Cursor: Which AI coding tool should you use? [2026]
AI IDEs promise that you'll ship faster and be more productive. But in that push for speed, skepticism emerges: what if you ship something that you don't fully understand? What if the agent made a change to the code that you'll have a hard time debugging if it goes wrong in production? On paper, Cursor and Windsurf look the same and are converging: VS Code forks, similar AI interaction modes, with pair programming and agent modes available. In practice, they feel very different to use and have a
- Extending Human Intelligence Through AI
Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems. The post Extending Human Intelligence Through AI appeared first on Microsoft Research .
- China imposes travel limits on AI workers at private firms
China imposes travel limits on AI workers at private firms Gulf News
- National artificial intelligence strategy to be released next week, Carney says
National artificial intelligence strategy to be released next week, Carney says Toronto Star
- Carney announces refreshed national AI strategy will be released next week
Carney announces refreshed national AI strategy will be released next week CBC