Accenture and OpenAI expand AI adoption worldwide

Accenture partners with OpenAI to embed ChatGPT Enterprise, upskilling tens of thousands of professionals with AI skills through OpenAI Certifications. The initiative represents the most extensive professional upskilling programme powered by OpenAI.

A new flagship AI client programme will combine OpenAI’s enterprise products with Accenture’s deep industry expertise. The programme will help clients adopt AI in key functions like customer service, finance, HR and supply chain, automating workflows and improving decision-making.

The collaboration will leverage OpenAI’s AgentKit and other advanced tools to design, test and deploy custom AI agents rapidly. By integrating agentic AI, Accenture aims to accelerate enterprise reinvention and create measurable economic value for its clients.

Accenture and OpenAI have already worked with many of the world’s largest enterprises, including Walmart, Salesforce, PayPal and Morgan Stanley. The partnership enhances both firms’ global AI adoption and helps organisations unlock new growth opportunities.

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Most German researchers now use AI

Around 80 percent of researchers at Germany’s Max Planck and Fraunhofer societies report using AI in their work, according to a survey of more than 6,200 respondents published in Research Policy.

Nearly half said they were very familiar with AI tools, while another 44 percent had used AI a few times.

The study shows a rapid rise in AI use since 2023, when just 17 percent of researchers used generative AI weekly. Many respondents now employ AI for core and creative research tasks, with 37 percent citing its use in innovative work processes.

Demographic trends reveal that older researchers and women are less likely to use AI, although lower familiarity rather than scepticism drives these differences. Researchers view AI as transformative, acting increasingly as a co-creator or manager rather than merely an automation tool.

Measures such as training, supportive learning environments and legal guidance could further boost AI adoption. Despite the study being limited to Germany, the findings point to a profound transformation in research driven by AI technologies.

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Europol backs major takedown of Cryptomixer in Switzerland

Europol has supported a coordinated action week in Zurich, where Swiss and German authorities dismantled the illegal cryptocurrency mixing service Cryptomixer.

Three servers were seized in Switzerland, together with the cryptomixer.io domain, leading to the confiscation of more than €25 million in Bitcoin and over 12 terabytes of operational data.

Cryptomixer operated on both the clear web and the dark web, enabling cybercriminals to conceal the origins of illicit funds. The platform has mixed over €1.3 billion in Bitcoin since 2016, aiding ransomware groups, dark web markets, and criminals involved in drug trafficking, weapons trafficking, and credit card fraud.

Its randomised pooling system effectively blocked the traceability of funds across the blockchain.

Mixing services, such as Cryptomixer, are used to anonymise illegal funds before moving them to exchanges or converting them into other cryptocurrencies or fiat. The takedown halts further laundering and disrupts a key tool used by organised cybercrime networks.

Europol facilitated information exchange through the Joint Cybercrime Action Taskforce and coordinated operational meetings throughout the investigation. The agency deployed cybercrime specialists on the final day to provide on-site support and forensics.

Earlier efforts included support for the 2023 takedown of Chipmixer, then the largest mixer of its kind.

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Fake AI product photos spark concerns for online retailers

Chinese shoppers are increasingly using AI to create fake product photos to claim refunds, raising moral and legal concerns. The practice was highlighted during the Double 11 festival, with sellers receiving images of allegedly damaged goods.

Some buyers manipulated photos of fruit to appear mouldy or altered images of electric toothbrushes to look rusty. Clothing and ceramic product sellers also detected AI-generated inconsistencies, such as unnatural lighting, distorted edges, or visible signs of manipulation.

In some cases, requests were withdrawn after sellers asked for video evidence.

E-commerce platforms have historically favoured buyers, granting refunds even when claims seem unreasonable. In response, major platforms such as Taobao and Tmall removed the ‘refund only’ option and introduced buyer credit ratings based on purchase and refund histories.

Sellers are also increasingly turning to AI tools to verify images.

China’s AI content rules, effective from 1 September, require AI-generated material to be labelled, but detection remains difficult. Legal experts warn that using AI to claim refunds could constitute fraud, with calls for stricter enforcement to prevent abuse.

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NVIDIA and Synopsys shape a new era in engineering

The US tech giant, NVIDIA, has deepened its long-standing partnership with Synopsys through a multi-year strategy designed to redefine digital engineering across global industries.

An agreement that includes a significant investment of two billion dollars in Synopsys shares and a coordinated effort to bring accelerated computing into every stage of research and development.

The aim is to replace slow, fragmented workflows with highly efficient engineering supported by GPU power, agentic AI and advanced physics simulation.

Research teams across semiconductor design, aerospace, automotive and industrial manufacturing continue to face rising complexity and escalating development costs. NVIDIA and Synopsys plan to respond by unifying their strengths, rather than relying on traditional CPU-bound methods.

NVIDIA’s accelerated computing platforms will connect with Synopsys tools to enable faster design, broader simulation capability and more precise verification. The collaboration extends to autonomous engineering through AI agents built on Synopsys AgentEngineer and NVIDIA’s agentic AI stack.

Digital twins stand at the centre of the new strategy. Accurate virtual models, powered through Omniverse and Synopsys simulation environments, will allow engineers to test and validate products in virtual space before physical production.

Cloud-ready access will support companies of all sizes, rather than restricting advanced engineering to large enterprises with specialised infrastructure. Both firms intend to promote adoption through a shared go-to-market programme.

The partnership remains open and non-exclusive, ensuring continued cooperation with the broader semiconductor and electronic design ecosystem.

NVIDIA and Synopsys expect accelerated engineering to reshape innovation cycles, offering a route to faster product development and more reliable outcomes across every primary technical sector.

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Meta criticised for AI-generated adverts scams

Meta has faced criticism after numerous consumers reported being misled by companies using AI-generated adverts on Facebook and Instagram. The firms posed as UK businesses while shipping cheap goods from Asia, prompting claims that scams were ‘running rampant’ on the platforms.

Victims were persuaded by realistic adverts and AI-generated images but received poorly made clothing and jewellery. Several companies, including C’est La Vie, Mabel & Daisy, Harrison & Hayes, and Chester & Clare, were removed after investigations revealed fabricated backstories and fake shopfronts.

Consumer guides recommend vigilance, advising shoppers to check company websites, reviews, and use Trustpilot to verify legitimacy. Experts warn that overly perfect images, including AI-generated shopfronts or models, may signal fraudulent adverts.

Platforms such as Facebook and Instagram are urged to enforce stricter measures to prevent scams.

Meta stated it works with Stop Scams UK and encourages users to report suspicious adverts, while the Advertising Standards Authority continues to crack down on misleading online promotions.

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Spar Switzerland expands crypto payments across its mobile app

Spar Switzerland has advanced retail crypto adoption by adding Bitcoin and over 100 digital assets to its mobile app. On-chain QR payments now replace third-party processors, following earlier pilots with the Lightning Network and Binance Pay.

Supportive national regulations continue to make Switzerland one of the most active retail environments for crypto payments. Merchants across the country have increasingly embraced digital assets, encouraged by clear legal frameworks and a population already familiar with fintech services.

The update follows previous pilots involving the Lightning Network and Binance Pay that began in 2025. Lessons from those trials helped shape Spar’s shift towards a fully integrated on-chain payment system.

Industry analysts view the expansion as a strong signal of growing consumer demand for flexible payment options. Broader access in major retail chains often accelerates mainstream adoption and encourages users and businesses to engage more confidently with the crypto economy.

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South Korea retailer admits worst-ever data leak

Coupang disclosed a major data breach on 30 November 2025 that exposed 33.7 million customer accounts. The leaked data includes names, email addresses, phone numbers, shipping addresses and some order history but excludes payment or login credentials.

The company said it first detected unauthorised access on 18 November. Subsequent investigations revealed that attacks likely began on 24 June through overseas servers and may involve a former employee’s still-active authentication key.

South Korean authorities launched an emergency probe to determine if Coupang violated data-protection laws. The government warned customers to stay alert to phishing and fraud attempts using the leaked information.

Cybersecurity experts say the breach may be one of the worst personal-data leaks in Korean history. Critics claim the incident underlines deep structural weaknesses in corporate cybersecurity practices.

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UK to require crypto traders to report details from 2026

The UK government has confirmed that cryptocurrency traders will be required to report personal details to trading platforms from 1 January 2026. The move forms part of the Cryptoasset Reporting Framework (CAFR), aligned with an OECD agreement, and aims to improve compliance with existing tax rules.

Under the framework, exchanges must provide HM Revenue & Customs (HMRC) with customer information, including cryptocurrency transactions and tax reference numbers.

Traders who fail to supply required details could face fines of up to £300, while platforms may be fined the same amount per unreported customer. HMRC expects to raise up to £315 million by 2030 from the new reporting rules.

Experts warn exchanges may face challenges collecting accurate information, potentially passing compliance costs onto users. Some investors may initially turn to noncompliant platforms, but international standards are expected to drive global alignment over time.

The 2025 Budget also addressed the taxation of DeFi activities such as lending and staking. HMRC appears to favour taxing gains only when they are realised, although no final decision has been made and consultations with stakeholders will continue.

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AWS unveils new agentic AI tools at reInvent

AWS introduced major AI upgrades at re:Invent 2025, led by new agentic capabilities in Amazon Connect. Companies can now automate complex service tasks while customers engage with natural, multilingual voice interactions.

Customer service teams gain deeper support as agentic tools summarise conversations, prepare documents and manage routine actions. AI also drives personalised recommendations by combining live clickstream data with detailed customer histories.

AWS expanded its multicloud strategy by launching Interconnect multicloud with Google Cloud. The partnership enables private, high bandwidth links that avoid the complexity of traditional cross cloud networking.

Deepgram strengthened its collaboration with AWS by bringing real time speech models to SageMaker, Connect and Lex. Enterprises now deploy rapid speech processing across their AWS environments with improved performance and flexibility.

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