Digital standards

Google settles tax dispute in Italy for 326 million euros

Milan prosecutors have announced plans to drop a case against Google’s European division after the company agreed to settle a tax dispute by paying 326 million euros (£277 million). The settlement covers the period from 2015 to 2019, including penalties, sanctions, and interest.

The tax dispute stemmed from allegations that Google had failed to file and pay taxes on revenue generated in Italy, based on the digital infrastructure it operates within the country. This comes after the company settled a previous tax case with Italian authorities in 2017 by paying 306 million euros, which acknowledged Google’s permanent presence in Italy.

In 2023, Italy had requested that Google pay 1 billion euros in unpaid taxes and penalties. However, with this latest settlement, the case against the tech giant appears to be resolved for now.

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French AI firm expands focus to the Middle East

French AI company Mistral has introduced Mistral Saba, a language model tailored for Arabic-speaking users. Unlike its previous general-purpose models, Saba is designed to handle Arabic content more naturally and effectively, positioning Mistral as a competitor to US-based AI giants. The model also demonstrates strong performance in certain Indian languages due to cultural and linguistic overlaps.

The move signals Mistral’s growing interest in the Middle East, a region with increasing demand for AI-driven services. By offering an off-the-shelf model for Arabic-language support and content generation, the company aims to attract regional businesses and potential investors. Mistral has already secured funding from major US firms, but future investments from Middle Eastern partners could strengthen its global standing.

Mistral Saba is accessible via API and can be deployed on-premise, making it particularly appealing to industries such as finance, healthcare, and energy, where data privacy is crucial. The company has hinted at plans to develop more regional AI models, reinforcing its commitment to multilingual AI solutions, not just in France.

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AI copyright case could set legal precedent

A US federal judge has ruled that Ross Intelligence infringed on Thomson Reuters’ copyright by using its legal research content to train an AI platform. The decision marks a significant moment in the ongoing debate over AI and intellectual property, as over 39 similar lawsuits progress through US courts.

Ross had argued that its use of Reuters’ Westlaw headnotes, summaries of legal decisions, was transformative, meaning it repurposed the material for a different function. However, the judge rejected this defence, ruling that Ross merely repackaged the content without adding significant new value. The company’s commercial intent also played a role in the ruling, as its AI system directly competed with Reuters’ legal research services.

The ruling could impact future AI copyright cases, particularly those involving generative AI models trained on publicly available content. While some believe it strengthens the case for content creators, others argue its scope is limited. Legal experts caution that further court decisions will be needed to define how copyright law applies to AI training in the long term.

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Apptronik expands humanoid robot production with new investment

AI robotics company Apptronik has raised $350 million in a funding round led by B Capital and Capital Factory, with participation from Google. The Texas-based firm is focused on scaling production of Apollo, its humanoid robot designed to perform warehouse and manufacturing tasks such as moving packages and handling logistics.

Apptronik is competing with major players like Tesla and Figure AI in the rapidly advancing field of humanoid robotics, where artificial intelligence is driving new breakthroughs. CEO Jeff Cardenas compared this moment in robotics to the rise of large language models in 2023, predicting that 2025 will see significant developments in automation.

The company plans to expand Apollo’s capabilities into other industries, including elder care and healthcare. It has also partnered with Google DeepMind’s robotics team and secured commercial agreements with Mercedes-Benz and GXO Logistics, positioning itself as a key player in the evolving robotics landscape.

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Google’s India policy head resigns amid market challenges

Google’s head of public policy in India, Sreenivasa Reddy, has stepped down, marking the second high-profile exit from the role in two years. Reddy, who joined the company in September 2023 after stints at Microsoft and Apple, played a crucial role in navigating regulatory challenges while Google expanded its services in India. The company confirmed his departure but declined to provide further details.

India remains a critical market for Google, with the majority of the country’s smartphones running on its Android system. The tech giant has faced increasing scrutiny from regulators over antitrust issues, even as it continues to grow its presence with local manufacturing and AI investments.

In the interim, Iarla Flynn, Google’s policy head for northern Europe, will take over the role. The company reaffirmed its commitment to the Indian market, emphasising its long-term vision despite the ongoing leadership changes.

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Ray-Ban Meta sales drive smart glasses growth

EssilorLuxottica is set to ramp up production of its smart glasses, driven by the success of its Ray-Ban Meta range developed in partnership with Meta. Since their launch in September 2023, over two million units have been sold, with growing user engagement indicating a shift towards mainstream adoption.

The eyewear giant, which has collaborated with Meta since 2019, aims to expand its smart glasses portfolio with new brands and features. The company is also considering subscription-based services and additional functionalities to enhance user experience.

To meet rising demand, EssilorLuxottica plans to increase production capacity to 10 million units annually by the end of next year. Manufacturing will be expanded across China and Southeast Asia, enabling the company to support future product releases, including the development of Nuance Audio glasses with integrated hearing solutions.

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Indian music industry joins lawsuit against OpenAI

Several of India’s leading Bollywood music labels, including T-Series, Saregama, and Sony, seek to join a lawsuit against OpenAI in New Delhi. They are concerned that the company’s AI models may have used their sound recordings without permission, potentially violating copyright laws. The legal action follows a previous lawsuit filed by Indian news agency ANI, which accused OpenAI’s ChatGPT of using content without authorisation to train its models. The music labels argue that this issue has significant implications for the global music industry.

The music companies, which represent major Indian and international music acts, claim that OpenAI’s AI systems could extract lyrics, compositions, and sound recordings from the internet without consent. T-Series, known for releasing thousands of songs annually, and Saregama, which holds a vast catalogue of iconic Indian music, are leading the charge. The Indian Music Industry (IMI), which also represents global labels like Sony Music and Warner Music, is pushing for the case to be heard in court, as the outcome could impact the future use of copyrighted content in AI training.

OpenAI, backed by Microsoft, argues that it adheres to fair-use principles by using publicly available data to build its AI models. However, the company is facing increasing legal pressure from multiple sectors worldwide, including recent lawsuits in Germany, where GEMA accused OpenAI of unlicensed use of song lyrics. OpenAI has opposed the Indian lawsuit, claiming that Indian courts do not have jurisdiction over the matter, given the company’s US base.

The next court hearing, which could shape the future of AI and copyright law in India, is scheduled for 21 February. This legal battle is gaining attention, particularly as OpenAI’s chief, Sam Altman, recently visited India to discuss the country’s plans for developing low-cost AI technology.

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Study warns of AI’s role in fueling bank runs

A new study from the UK has raised concerns about the risks of bank runs fueled by AI-generated fake news spread on social media. The research, published by Say No to Disinfo and Fenimore Harper, highlights how generative AI can create false stories or memes suggesting that bank deposits are at risk, leading to panic withdrawals. The study found that a significant portion of UK bank customers would consider moving their money after seeing such disinformation, especially with the speed at which funds can be transferred through online banking.

The issue is gaining traction globally, with regulators and banks worried about the growing role of AI in spreading malicious content. Following the collapse of Silicon Valley Bank in 2023, which saw $42 billion in withdrawals within a day, financial institutions are increasingly focused on detecting disinformation that could trigger similar crises. The study estimates that a small investment in social media ads promoting fake content could cause millions in deposit withdrawals.

The report calls for banks to enhance their monitoring systems, integrating social media tracking with withdrawal monitoring to better identify when disinformation is impacting customer behaviour. Revolut, a UK fintech, has already implemented real-time monitoring for emerging threats, urging financial institutions to be prepared for potential risks. While banks remain optimistic about AI’s potential, the financial stability challenges it poses are still a growing concern for regulators.

As financial institutions work to mitigate AI-related risks, the broader industry is also grappling with how to balance the benefits of AI with the threats it may pose. UK Finance, the industry body, emphasised that banks are making efforts to manage these risks, while regulators continue to monitor the situation closely.

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AI revolutionising the wealth management industry

AI is set to revolutionise wealth management by lowering the barriers to entry for new players, according to a Microsoft executive. Martin Moeller, head of AI for financial services at Microsoft, highlighted that AI’s ability to process vast amounts of data could allow small teams or even individuals to offer services that traditionally required entire teams at banks. This shift is expected to reshape the competitive landscape, much like the internet did decades ago.

AI is already being used in the financial sector, with Swedish payment provider Klarna employing AI from OpenAI to handle tasks previously carried out by 700 employees. UBS, the world’s largest asset manager, also sees significant potential in AI to boost productivity and ease job functions. AI is expected to reduce operational costs for startups and allow banks that have not been involved in wealth management to enter the market with minimal investment.

Customer behaviour is also changing, with younger entrepreneurs increasingly managing their own investments. In response, banks are using AI to enable customers to consolidate financial information independently. While AI currently does not provide specific investment advice, ‘agentic AI’ is expected to be developed in the next two years, which will make independent decisions without human input, further transforming the industry.

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China’s semiconductor spending faces decline

China’s spending on chipmaking equipment is expected to fall by 6% in 2025, marking its first decline since 2021, according to Canadian research firm TechInsights. The drop follows years of aggressive stockpiling as Chinese firms sought to bypass tightening US export controls. Last year, China accounted for 40% of global semiconductor equipment purchases, but its share is projected to shrink significantly.

Analysts attribute the decline to a combination of overcapacity and the impact of US sanctions, which aim to limit China’s ability to develop advanced chips with potential military applications. Despite these restrictions, companies like SMIC and Huawei have continued to push forward, achieving technological breakthroughs by relying on more expensive and labour-intensive manufacturing processes.

China has made strides in producing mature-node chips and expanding its domestic semiconductor industry, with firms like Naura Technology Group gaining global market share. However, the country remains dependent on foreign suppliers for critical tools such as lithography machines, highlighting ongoing challenges in its push for self-sufficiency.

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