Chrome update brings AI shopping summaries to US users

Google has updated its Chrome browser to include AI-generated summaries of online stores, aimed at helping shoppers in the US make more informed buying decisions.

Instead of manually searching through reviews, users can now click an icon next to the web address to see a summary of a shop’s performance across key areas like product quality, pricing, returns, and customer service.

The feature is currently available only in English and is limited to desktop users.

The summaries are generated from a range of trusted review platforms, including Trustpilot, Bazaarvoice, Bizrate Insights, and others. Google says that the tool will offer a more efficient and secure online shopping experience.

It also helps the tech giant better compete with Amazon, which has already rolled out AI tools for product comparisons, fit suggestions, and ratings analysis. The move forms part of Google’s wider push to turn Chrome into a more powerful e-commerce assistant.

The company is also integrating AI tools like the Gemini assistant and developing agentic AI systems that can carry out tasks in the browser on a user’s behalf.

At the same time, Chrome faces fresh competition from AI-first browsers such as Perplexity’s Comet, Opera Neon, and a possible entry from OpenAI.

By adding AI-powered features directly into Chrome, Google hopes to future-proof its browser while strengthening its position in online retail.

As rivals begin to build intelligent browsers from the ground up, Google is reimagining how Chrome can serve users beyond simple search and browsing.

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Tech giants back Trump’s AI deregulation plan amid public concern over societal impacts

Donald Trump recently hosted an AI summit in Washington, titled ‘Winning the AI Race,’ geared towards a deregulated atmosphere for AI innovation. Key figures from the tech industry, including Nvidia’s CEO Jensen Huang and Palantir’s CTO Shyam Sankar, attended the event.

Co-hosted by the Hill and Valley Forum and the Silicon Valley All-in Podcast, the summit was a platform for Trump to introduce his ‘AI Action Plan‘, comprised of three executive orders focusing on deregulation. Trump’s objective is to dismantle regulatory restrictions he perceives as obstacles to innovation, aiming to re-establish the US as a leader in AI exportation globally.

The executive orders announced target the elimination of ‘ideological dogmas such as diversity, equity, and inclusion (DEI)’ in AI models developed by federally funded companies. Additionally, one order promotes exporting US-developed AI technologies internationally, while another seeks to lessen environmental restrictions and speed up approvals for energy-intensive data centres.

These measures are seen as reversing the Biden administration’s policies, which stressed the importance of safety and security in AI development. Technology giants Apple, Meta, Amazon, and Alphabet have shown significant support for Trump’s initiatives, contributing to his inauguration fund and engaging with him at his Mar-a-Lago estate. Leaders like OpenAI’s Sam Altman and Nvidia’s Jensen Huang have also pledged substantial investments in US AI infrastructure.

Despite this backing, over 100 groups, including labour, environmental, civil rights, and academic organisations, have voiced their opposition through a ‘People’s AI action plan’. These groups warn of the potential risks of unregulated AI, which they fear could undermine civil liberties, equality, and environmental safeguards.

They argue that public welfare should not be compromised for corporate gains, highlighting the dangers of allowing tech giants to dominate policy-making. That discourse illustrates the divide between industry aspirations and societal consequences.

The tech industry’s influence on AI legislation through lobbying is noteworthy, with a report from Issue One indicating that eight of the largest tech companies spent a collective $36 million on lobbying in 2025 alone. Meta led with $13.8 million, employing 86 lobbyists, while Nvidia and OpenAI saw significant increases in their expenditure compared to previous years. The substantial financial outlay reflects the industry’s vested interest in shaping regulatory frameworks to favour business interests, igniting a debate over the ethical responsibilities of unchecked AI progress.

As tech companies and pro-business entities laud Trump’s deregulation efforts, concerns persist over the societal impacts of such policies.

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China issues action plan for global AI governance and proposes global AI cooperation organisation

At the 2025 World AI Conference in Shanghai, Chinese Premier Li Qiang urged the international community to prioritise joint efforts in governing AI, making reference to a need to establish a global framework and set of rules widely accepted by the global community. He unveiled a proposal by the Chinese government to create a global AI cooperation organisation to foster international collaboration, innovation, and inclusivity in AI across nations.

China attaches great importance to global AI governance, and has been actively promoting multilateral and bilateral cooperation with a willingness to offer more Chinese solutions‘.

An Action Plan for AI Global Governance was also presented at the conference. The plan outlines, in its introduction, a call for ‘all stakeholders to take concrete and effective actions based on the principles of serving the public good, respecting sovereignty, development orientation, safety and controllability, equity and inclusiveness, and openness and cooperation, to jointly advance the global development and governance of AI’.

The document includes 13 points related to key areas of international AI cooperation, including promoting inclusive infrastructure development, fostering open innovation ecosystems, ensuring high-quality data supply, and advancing sustainability through green AI practices. It also calls for consensus-building around technical standards, advancing international cooperation on AI safety governance, and supporting countries – especially those in the Global South – in ‘developing AI technologies and services suited to their national conditions’.

Notably, the plan indicates China’s support for multilateralism when it comes to the governance of AI, calling for an active implementation of commitments made by UN member states in the Pact for the Future and the Global Digital Compact, and expressing support for the establishment of the International AI Scientific Panel and a Global Dialogue on AI Governance (whose terms of reference are currently negotiated by UN member states in New York).

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UBTech’s Walker S2 marks a leap towards uninterrupted robotic work

The paradigm of robotic autonomy is undergoing a profound transformation with the advent of UBTech’s new humanoid, the Walker S2. Traditionally, robots have been tethered to human assistance for power, requiring manual plugging in or lengthy recharges.

UBTech, a pioneering robotics company, is now dismantling these limitations with a groundbreaking feature in the Walker S2: the ability to swap its battery autonomously. The innovation promises to reshape the landscape of factory work and potentially many other industries, enabling near-continuous, 24/7 operation without human intervention.

The core of this advancement lies in the Walker S2’s sophisticated self-charging mechanism. When a battery begins to deplete, the robot does not power down. Instead, it intelligently navigates to a strategically placed battery swap station.

Once positioned, the robot executes a precise sequence of movements: it twists its torso, deploys built-in tools on its arms to unfasten and remove the drained battery from its back cavity, places it into an empty bay on the swap station, and then expertly retrieves a fresh, fully charged module.

The new battery is then securely plugged into one of its dual battery bays. The process is remarkably swift, taking approximately three minutes, allowing the robot to return to its tasks almost immediately.

The hot-swappable system mirrors the convenience of advanced electric vehicle technology, but its application to humanoid robotics unlocks unprecedented operational efficiency. Standing at 5 feet, 3 inches (approximately 160 cm) tall and weighing 95 pounds (about 43 kg), the Walker S2 is designed to integrate seamlessly into environments built for humans.

It has two 48-volt lithium batteries, ensuring a continuous power supply during the brief swapping procedure. While one battery powers the robot’s ongoing operations, the other can be exchanged.

Each battery provides approximately two hours of operation while walking or up to four hours when the robot stands still and performs tasks. The battery swap stations are not merely power hubs; they also meticulously monitor the health of each battery.

Should a battery show signs of degradation, a technician can be alerted to a timely replacement, further optimising the robot’s longevity and performance.

UBTech claims the Walker S2 is not a mere laboratory prototype but a robust solution engineered for real-world industrial deployment. Extensive testing has been conducted in the highly demanding environments of car factories operated by major Chinese electric vehicle manufacturers, including BYD, Nio, and Zeekr.

The trials validate the robot’s ability to operate effectively in dynamic production lines. The Walker S2 incorporates advanced vision systems, allowing it to detect battery levels and identify fully charged units, indicated by a green light on the stacked battery packs.

The robot autonomously reads the visual cues, ensuring precise selection and connection via a simple USB-style connector. Furthermore, the robot features a display face, enabling it to communicate its operational status to human workers, fostering a collaborative and transparent work environment. For safety, a prominent emergency stop button is also integrated.

China’s strategic investment in robotics is a driving force behind such innovations. Shenzhen, UBTech’s home base, is a thriving hub for robotics, boasting over 1,600 companies in the sector.

The nation’s broader push towards automation, part of its ‘Made in China 2025’ strategy, is a clear statement of global competitiveness, with China betting on AI and robotics to spearhead the next manufacturing era.

The coordinated industrial policy has led to China becoming the world’s largest market for industrial robots and a significant innovator in the field. The implications of robots like the Walker S2, built for non-stop operation, extend far beyond traditional factory floors.

Their ability to manage physical tasks continuously could redefine work in various sectors. Industries such as logistics, with vast warehouses requiring constant material handling, or airports, where baggage and cargo movement is ceaseless, benefit immensely.

Hospitals could also see these humanoids assisting with logistical duties, allowing human staff to concentrate on direct patient care. For businesses, the promise of 24/7 automation translates directly into increased output without additional human resources, ensuring operations move seamlessly day and night.

The Walker S2 exemplifies how advanced automation rapidly moves beyond research labs into practical, demanding workplaces. With its autonomous battery-swapping capability, humanoid robots are poised to work extended hours that far exceed human capacity.

The robots do not require coffee breaks or need sleep; they are designed for relentless productivity, marking a significant step towards a future where machines play an even more integral role in daily industrial and societal functions.

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AI fuels new wave of global security breaches

Global corporations are under growing threat from increasingly sophisticated cyber attacks as AI tools boost the capabilities of malicious actors.

Allianz Life recently confirmed a breach affecting most of its 1.4 million North American customers, adding to a string of high-profile incidents this year.

Microsoft is also contending with the aftermath of a wide-scale intrusion, as attackers continue to exploit AI-driven methods to bypass traditional defences.

Cybersecurity firm DeepStrike reports that over 560,000 new malware samples are detected daily, underscoring the scale of the threat.

Each month in 2025 has brought fresh incidents. January saw breaches at the UN and Hewlett-Packard, while crypto lender zkLend lost $9.5 million to hackers in February.

March was marked by a significant attack on Elon Musk’s X platform, and Oracle lost six million data records.

April and May were particularly damaging for retailers and financial services. M&S, Harrods, and Coinbase were among the prominent names hit, with the latter facing a $20 million ransom demand. In June, luxury brands and media companies, including Cartier and the Washington Post, were also targeted.

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Netflix’s AI-driven VFX marks industry milestone

Making a significant leap into generative AI, Netflix has incorporated it into the post-production of its original series The Eternaut, which marks the first time the streaming giant has used AI-generated content in a final scene.

The sequence in question, a dramatic depiction of a building collapsing in Buenos Aires, was created using generative AI, allowing for a rapid and cost-effective production process.

Co-CEO Ted Sarandos emphasised that the AI-generated sequence was completed 10 times faster and more affordably than traditional visual effects methods.

He noted that AI enabled the production team to achieve high-quality visual effects that would have been unfeasible within the show’s budget constraints.

However, this development highlights Netflix’s commitment to exploring innovative technologies to enhance its content creation processes.

The company aims to streamline production workflows and expand creative possibilities by integrating generative AI, and the move like this one also raises questions about the implications of AI in the entertainment industry, particularly concerning the potential impact on jobs and the authenticity of creative work.

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Alibaba reveals Quark AI glasses to rival Meta and Xiaomi

Alibaba entered the wearable tech scene at the World Artificial Intelligence Conference in Shanghai by unveiling its first smart glasses, Quark AI Glasses, powered by its proprietary Qwen large language model and the Quark assistant.

The glasses are designed for professional and consumer use and feature hands-free calling, live transcription and translation, music playback, and a built-in camera.

The AR-type eyewear runs on a dual-chip platform, featuring Qualcomm’s Snapdragon AR1 and a dedicated low-power chip. It uses a hybrid operating system setup to balance interactivity and battery life.

Integration with Alibaba’s ecosystem lets users navigate via Amap’s near-eye maps, scan Taobao products for price comparison, make purchases via Alipay, and receive notifications from Ali platforms—all through voice and gesture commands.

Set for release in China by the end of 2025, Quark AI Glasses aim to compete directly with Meta’s Ray-Ban smart eyewear and Xiaomi’s AI glasses.

While product pricing and global availability remain unannounced, Alibaba’s ecosystem depth and hardware‑software integration signal a strategic push into wearable intelligence.

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AI startup Daydream revolutionises online fashion search

Online shopping for specific items like bridesmaid dresses can be challenging due to overwhelming choices. A new tech startup, Daydream, aims to simplify this. It uses AI to let users search for products by describing them in natural language, making the process easier and more intuitive.

For instance, a user could ask for a ‘revenge dress to wear to a party in Sicily in July,’ or ‘a summer bag to carry to work and cocktails after.’

Daydream, with staff based in New York and San Francisco, represents the latest venture in a growing trend of tech companies utilising AI to streamline and personalise online retail.

Consumer demand for such tools is evident: an Adobe Analytics survey of 5,000 US consumers revealed that 39% had used a generative AI tool for online shopping last year, with 53% planning to do so this year. Daydream faces competition from tech giants already active in this space.

Meta employs AI to facilitate seller listings and to target users with more relevant product advertisements. OpenAI has launched an AI agent capable of shopping across the web for users, and Amazon is trialling a similar feature.

Google has also introduced various AI shopping tools, including automated price tracking, a ‘circle to search’ function for identifying products in photos, and virtual try-on options for clothing.

Despite the formidable competition, Daydream’s CEO, Julie Bornstein, believes her company possesses a deeper understanding of the fashion and retail industries.

Bornstein’s extensive background includes helping build Nordstrom’s website as its vice president of e-commerce in the early 2000s and holding C-suite positions at Sephora and Stitch Fix. In 2018, she co-founded her first AI-powered shopping startup, The Yes, which was sold to Pinterest in 2022.

Bornstein asserts, ‘They don’t have the people, the mindset, the passion to do what needs to be done to make a category like fashion work for AI recommendations.’ She added, ‘Because I’ve been in this space my whole career, I know that having the catalogue with everything and being able to show the right person the right stuff makes shopping easier.’

Daydream has already secured $50 million in its initial funding round, attracting investors such as Google Ventures and model Karlie Kloss, founder of Kode With Klossy. The platform operates as a free, digital personal stylist.

Users can input their desired products using natural language, eliminating the need for complex Boolean search terms, thanks to its AI text recognition technology, or upload an inspiration photo.

Daydream then presents recommendations from over 8,000 brand partners, ranging from budget-friendly Uniqlo to luxury brand Gucci. Users can further refine their search through a chat interface, for example, by requesting more casual or less expensive alternatives.

As users interact more with the platform, it progressively tailors recommendations based on their search history, clicks, and saved items.

When customers are ready to purchase, they are redirected to the respective brand’s website to complete the transaction, with Daydream receiving a 20% commission on the sale.

Unlike many other major e-commerce players, Bornstein is deliberately avoiding ad-based rankings. She aims for products to appear on recommendation pages purely because they are a suitable match for the customer, not due to paid placements.

Bornstein stated, ‘As soon as Amazon started doing paid sponsorships, I’m like, ‘How can I find the real good product?’ She emphasised, ‘We want this to be a thing where we get paid when we show the customer the right thing.’

A recent CNN test of Daydream yielded mixed results. A search for a ‘white, fitted button-up shirt for the office with no pockets’ successfully returned a $145 cotton long-sleeve shirt from Theory that perfectly matched the description.

However, recommendations are not always flawless. A query for a ‘mother of the bride dress for a summer wedding in California’ presented several slinky slip dresses, some in white, alongside more formal styles, appearing more suitable for a bachelorette party.

Bornstein confirmed that the company continuously refined its AI models and gathered user feedback. She noted, ‘We want data on what people are doing so we can focus and learn where we do well and where we don’t.’

Part of this ongoing development involves training the AI to understand nuanced contextual cues, such as the implications of a ‘dress for a trip to Greece in August’ (suggesting hot weather) or an outfit for a ‘black-tie wedding’ (implying formality).

Daydream’s web version launched publicly last month, and it is currently in beta testing, with plans for an app release in the autumn. Bornstein envisions a future where AI extends beyond shopping, assisting with broader fashion needs like pairing new purchases with existing wardrobe items.

She concluded, ‘This was one of my earliest ideas, but I didn’t know the term (generative AI) and I didn’t know a large language model would be the unlock.’

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Delta Air Lines rolls out AI for personalised airfare

Delta Air Lines is shifting the landscape of airfare by leveraging AI to personalise ticket prices. Moving beyond fixed fares, Delta aims to tailor prices closely to each traveller.

Instead of static prices, the system now analyses customer habits, booking history, and even the time of day to predict an individual’s potential willingness to pay. By the end of the current year, Delta aims to set 20% of its ticket prices using AI dynamically.

The goal represents a significant, sevenfold increase from just twelve months prior. Such a high-tech approach could result in more advantageous deals or elevated costs, depending on a passenger’s unique circumstances and shopping behaviour.

It is crucial to understand how this system operates, Delta’s motivations, and its implications for consumer finances. Traditional ticket pricing has long relied on ‘fare buckets,’ where customers are categorised based on their booking method and timing.

Delta’s new AI ticket pricing system fundamentally shifts away from these static rates. It analyses real-time information to calculate precisely what a specific customer will likely spend on a seat for any given flight.

Glen Hauenstein, Delta’s President, describes this as a complete re-engineering of pricing. He characterises AI as a ‘super analyst’ working continuously, 24/7, to identify the optimal price for every traveller, every time.

The airline has collaborated with Fetcherr, which provides the underlying technological infrastructure and supports other global airlines. Airlines do not adopt advanced, high-tech pricing systems to reduce revenue.

Delta reports that initial results from its AI-driven pricing indicate ‘amazingly favourable’ revenues. The airline believes AI will maximise profits by more accurately aligning fares with each passenger’s willingness to pay.

However, this is determined by a vast array of data inputs, ranging from individual booking history to prevailing market trends. Delta’s core strategy is straightforward: to offer a price available for a specific flight, at a particular time, to you, the individual consumer.

Consumers who have previously observed frequent fluctuations in airfare should now anticipate even greater volatility. Delta’s new system could present a different price to one person compared to another for the same seat, with the calculation performed in real-time by the AI.

Passengers might receive special offers or early discounts if the AI identifies a need to fill seats quickly. However, discerning whether one is securing a ‘fair’ deal becomes significantly more challenging. The displayed price is now a function of what the AI believes an individual will pay, rather than a universal rate applicable to all.

The shift has prompted concerns among some privacy advocates. They worry that such personalised pricing could disadvantage customers who lack the resources or time to search extensively for the most favourable deals.

Consequently, those less able to shop around may be charged the highest prices. Delta has been approached for comment, and a spokesperson stated: ‘There is no fare product Delta has ever used, is testing, or plans to use that targets customers with individualised offers based on personal information or otherwise.

Various market forces have driven the dynamic pricing model used in the global industry for decades, with new tech streamlining this process. Delta always complies with regulations around pricing and disclosures.’

Delta’s openness regarding this significant policy change has attracted considerable national attention. Other airlines are already trialling their AI fare systems, and industry experts widely anticipate that the rest of the sector will soon follow suit.

Nevertheless, privacy advocates and several lawmakers are vocalising strong objections. Critics contend that allowing AI to determine pricing behind the scenes is akin to airlines ‘hacking our brains’ to ascertain the maximum price a customer will accept, as described by Consumer Watchdog.

The legal ramifications of this approach are still unfolding. While price variation based on demand or timing is not novel, the use of AI for ultra-personalised pricing raises uncomfortable questions about potential discrimination and fairness, particularly given prior research suggesting that economically disadvantaged customers frequently receive less favourable deals.

Delta’s AI pricing system personalises every airfare, making each search and price specific to the user. Universal ticket prices are fading as AI analyses booking habits and market conditions. This technology can quickly offer special deals to fill seats or raise prices if demand is detected.

Conversely, the price can increase if the system senses a greater willingness to pay. Shopping around is now an absolute necessity. Utilising a VPN can help outsmart the system by masking location and IP address, which prevents airlines from tracking searches and adjusting prices based on geographic region.

Making quick decisions might result in savings, but procrastination could lead to a price increase. Privacy is paramount; the airline gains insights into a user’s habits with every search. A digital footprint directly influences fares. In essence, consumers now possess both increased power and greater responsibility.

Being astute, flexible, and constantly comparing before purchasing is vital. Delta’s transition to AI-driven ticket pricing significantly shifts how consumers purchase flight tickets.

While offering potential for enhanced flexibility and efficiency, it simultaneously raises substantial questions concerning fairness, privacy, and transparency.

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AI chatbot captures veteran workers’ knowledge to support UK care teams

Peterborough City Council has turned the knowledge of veteran therapy practitioner Geraldine Jinks into an AI chatbot to support adult social care workers.

After 35 years of experience, colleagues frequently approached Jinks seeking advice, leading to time pressures despite her willingness to help.

In response, the council developed a digital assistant called Hey Geraldine, which mimics her direct and friendly communication style to provide instant support to staff.

Developed in 2023, the chatbot offers practical answers to everyday care-related questions, such as how to support patients with memory issues or discharge planning. Jinks collaborated with the tech team to train the AI, writing all the responses herself to ensure consistency and clarity.

Thanks to its natural tone and humanlike advice, some colleagues even mistook the chatbot for the honest Geraldine.

The council hopes Hey Geraldine will reduce hospital discharge delays and improve patient access to assistive technology. Councillor Shabina Qayyum, who also works as a GP, said the tool empowers staff to help patients regain independence instead of facing unnecessary delays.

The chatbot is seen as preserving valuable institutional knowledge while improving frontline efficiency.

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