Long-standing dominance over Android app distribution has been declared illegal by the Ninth Circuit Court of Appeals, reinforcing a prior jury verdict in favour of Epic Games. Google now faces an injunction that compels it to allow rival app stores and alternative billing systems inside the Google Play Store ecosystem for a three-year period ending November 2027.
A technical committee jointly selected by Epic and Google will oversee sensitive implementation tasks, including granting competitors approved access to Google’s expansive app catalogue while ensuring minimal security risk. The order also requires that developers not be tied to Google’s billing system for in-app purchases.
Market analysts warn that reduced dependency on Play Store exclusivity and the option to use alternative payment processors could cut Google’s app revenue by as much as $1 to $1.5 billion annually. Despite brand recognition, developers and consumers may shift toward lower-cost alternatives competing on platform flexibility.
While the ruling aims to restore competition, Google maintains it is appealing and has requested additional delays to avoid rapid structural changes. Proponents, including Microsoft, regulators, and Epic Games, hail the decision as a landmark step toward fairer mobile market access.
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Microsoft Research released a comprehensive AI impact assessment, ranking 80 occupations by exposure to generative AI tools such as Copilot and ChatGPT. Roles heavily involved in language, writing, client communication, and routine digital tasks showed the highest AI overlap. Notable examples include translators, historians, customer service agents, political scientists, and data scientists.
By contrast, jobs requiring hands-on work, empathy, real-time physical or emotional engagement, such as nurses, phlebotomists, construction trades, embalmers, and housekeeping staff, were classified as low risk under current AI capabilities. Experts suggest that these kinds of positions remain essential because they involve physical presence, human interaction, and complex real-time decision making.
Although certain professions scored high for AI exposure, Microsoft and independent analysts emphasise that most jobs won’t disappear entirely. Instead, generative AI tools are expected to augment workflows, creating hybrid roles where human judgement and oversight remain critical, especially in sectors such as financial services, healthcare, and creative industries.
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The US Securities and Exchange Commission has introduced ‘Project Crypto,’ a Commission-wide effort to update securities regulations and establish America as the world’s leading crypto market.
The announcement was made by SEC Chair Paul Atkins at the America First Policy Institute in Washington D.C. on 31 July. Atkins highlighted the rapid evolution of financial markets and stressed the need for the US to take a proactive role in the crypto revolution.
Project Crypto builds on recommendations from the President’s Working Group on Digital Asset Markets, focusing on clear rules for crypto custody, trading, and distribution.
The initiative marks a significant change in SEC policy, moving away from the strict enforcement tactics of the previous administration under Gary Gensler. Recent months saw the SEC drop lawsuits and ease probes, signalling support for innovation and urging crypto firms back to the US.
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TON, the blockchain natively embedded in Telegram’s app, is emerging as the most practical path to mainstream crypto adoption. With over 900 million users on Telegram and more than 150 million TON accounts created, the platform is delivering Web3 features through a familiar, app-like experience.
Unlike Ethereum or Solana, which require external wallets and technical knowledge, TON integrates features like tipping, staking, and gaming directly into Telegram. Mini apps like Notcoin and Catizen let users access blockchain without dealing with wallets or gas fees.
TON currently processes around 2 million daily transactions and may reach over 10 million daily users by 2027. Growing user fatigue with complex blockchain makes TON’s simple, mobile-first design ready to lead the next adoption wave.
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July witnessed a significant surge in cybersecurity mergers and acquisitions (M&A), spearheaded by Palo Alto Networks’ announcement of its definitive agreement to acquire identity security firm CyberArk for an estimated $25 billion.
The transaction, set to be the second-largest cybersecurity acquisition on record, signals Palo Alto’s strategic entry into identity security.
Beyond this significant deal, Palo Alto Networks also completed its purchase of AI security specialist Protect AI. The month saw widespread activity across the sector, including LevelBlue’s acquisition of Trustwave to create the industry’s largest pureplay managed security services provider.
Zurich Insurance Group, Signicat, Limerston Capital, Darktrace, Orange Cyberdefense, SecurityBridge, Commvault, and Axonius all announced or finalised strategic cybersecurity acquisitions.
The deals highlight a strong market focus on AI security, identity management, and expanding service capabilities across various regions.
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Amazon is exploring ways to insert ads into conversations with its AI assistant Alexa+, according to CEO Andy Jassy. Speaking during the company’s latest earnings call, he described the feature as a potential tool for product discovery and future revenue.
Alexa+ is Amazon’s upgraded digital assistant designed to support more natural, multi-step conversations using generative AI. It is already available to millions of users through Prime subscriptions or as a standalone service.
Jassy said longer interactions open the door for embedded advertising, although the approach has not yet been fully developed. Industry observers see this as part of a wider trend, with companies like Google and OpenAI also weighing ad-based business models.
Alexa+ has received mixed reviews so far, with delays in feature delivery and technical challenges like hallucinations raising concerns. Privacy advocates have warned that ad targeting within personal conversations may worry users, given the data involved.
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Apple is ramping up its AI efforts, with CEO Tim Cook confirming that the company is significantly increasing its investments in the technology. During the Q3 2025 earnings call, Cook said AI would be embedded across Apple’s devices, platforms and internal operations.
The firm has reallocated staff to focus on AI and continues to acquire smaller companies to accelerate progress, completing seven acquisitions this year alone. Capital expenditure has also risen, partly due to the growing focus on AI.
Despite criticism that Apple has lagged behind in the AI race, the company insists it will not rush features to market. More than 20 Apple Intelligence tools have already been released, with additional features like live translation and an AI fitness assistant expected by year-end.
The updated version of Siri, which promises greater personalisation, has been pushed to 2026. Cook dismissed suggestions that AI-powered hardware, like glasses, would replace the iPhone, instead positioning future devices as complementary.
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A new euro-denominated stablecoin, EURAU, has launched on the Ethereum blockchain, backed by Deutsche Bank’s DWS, Flow Traders, and Mike Novogratz’s Galaxy. The regulated token is issued by AllUnity and complies with Germany’s BaFin and the EU’s MiCA rules.
Bullish Europe, a BaFin-regulated crypto exchange based in Frankfurt, will be the first to list EURAU. The exchange has secured four BaFin licences and is preparing for expansion across the EU under MiCA’s framework.
Key partners supporting EURAU’s launch include crypto custodian BitGo, Metzler Bank, and Fireblocks.
Euro stablecoins currently make up just 0.2% of the $273 billion global stablecoin market but have seen strong growth, increasing by nearly 60% since December 2024. Despite growth, European regulators stay cautious because US dollar stablecoins like Tether’s USDt dominate.
European Central Bank adviser Jürgen Schaaf has emphasised the need for international regulatory coordination to balance stablecoin markets and reduce reliance on the dollar.
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OpenAI has removed a feature that allowed users to make their ChatGPT conversations publicly searchable, following backlash over accidental exposure of sensitive content.
Dane Stuckey, OpenAI’s CISO, confirmed the rollback on Thursday, describing it as a short-lived experiment meant to help users find helpful conversations. However, he acknowledged that the feature posed privacy risks.
‘Ultimately, we think this feature introduced too many opportunities for folks to accidentally share things they didn’t intend to,’ Stuckey wrote in a post on X. He added that OpenAI is working to remove any indexed content from search engines.
The move came swiftly after Fast Company and privacy advocate Luiza Jarovsky reported that some shared conversations were appearing in Google search results.
Jarovsky posted examples on X, noting that even though the chats were anonymised, users were unknowingly revealing personal experiences, including harassment and mental health struggles.
To activate the feature, users had to tick a box allowing their chat to be discoverable. While the process required active steps, critics warned that some users might opt in without fully understanding the consequences. Stuckey said the rollback will be complete by Friday morning.
The incident adds to growing concerns around AI and user privacy, particularly as conversational platforms like ChatGPT become more embedded in everyday life.
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UK universities risk losing their competitive edge unless they adopt a clear, forward-looking approach to ΑΙ in teaching. Falling enrolments, limited funding, and outdated digital systems have exposed a lack of AI literacy across many institutions.
As AI skills become essential for today’s workforce, employers increasingly expect graduates to be confident users rather than passive observers.
Many universities continue relying on legacy technology rather than exploring the full potential of modern learning platforms. AI tools can enhance teaching by adapting to individual student needs and helping educators identify learning gaps.
However, few staff have received adequate training, and many universities lack the resources or structure to embed AI into day-to-day teaching effectively.
To close the growing gap between education and the workplace, universities must explore flexible short courses and microcredentials that develop workplace-ready skills.
Introducing ethical standards and data transparency from the start will ensure AI is used responsibly without weakening academic integrity.
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