India faces a lower risk of AI-driven disruption to white-collar jobs than Western economies, IT Secretary S Krishnan said. A smaller share of cognitive roles and strong STEM employment reduce near-term impact.
Rather than replacing workers, artificial intelligence is expected to create jobs through sector-specific applications. Development and deployment of these systems will require many trained professionals.
Human oversight will remain essential as issues such as AI hallucinations limit full automation of cognitive tasks. Productivity gains are expected to support, rather than eliminate, knowledge-based work.
India is positioning itself as a global contributor to applied artificial intelligence solutions. Indigenous AI models under development are expected to support jobs, innovation and long-term economic growth.
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Indian banks and financial institutions are deploying AI at scale to increase revenue generation. Post-pandemic digitisation has accelerated adoption beyond pilot projects.
Executives say AI deployment now focuses on customer engagement, credit decisions and risk management. Indian revenue growth is replacing cost reduction as the primary objective.
Industry leaders highlight a shift towards agentic AI, where autonomous systems perform complex business tasks. Banking workflows are increasingly handled with minimal human intervention.
Cloud providers say Indian finance is entering a mature AI phase. Digital infrastructure investments are expected to deepen competitive advantage across the sector.
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Groq has signed a non-exclusive licensing agreement with Nvidia to share its inference technology, aiming to make high-performance, cost-efficient AI processing more widely accessible.
Groq’s founder, Jonathan Ross, president Sunny Madra, and other team members will join Nvidia to help develop and scale the licensed technology. Despite the collaboration, Groq will remain an independent company, with Simon Edwards taking over as Chief Executive Officer.
Operations of GroqCloud will continue without interruption, ensuring ongoing services for existing customers. The agreement highlights a growing trend of partnerships in the AI sector, combining innovation with broader access to advanced processing capabilities.
The partnership could speed up AI inference adoption, offering companies more scalable and cost-effective options for deploying AI workloads. Analysts suggest such collaborations are likely to drive competition and innovation in the rapidly evolving AI hardware and software market.
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India’s technology ministry plans to showcase more than 100 homegrown applications at an upcoming AI Impact Summit. The event aims to highlight locally developed tools across public services and industry.
Officials say the initiative supports domestic innovation while reducing reliance on foreign technology platforms. Priority areas include governance, healthcare, education and small business productivity.
The ministry intends to promote practical AI adoption rather than experimental research. Developers will demonstrate solutions already deployed or nearing commercial readiness.
The showcase reflects India’s broader strategy to position local firms within global AI supply chains. Indian policymakers view applied AI as central to economic growth.
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The European Commission has welcomed Apple’s latest interoperability updates in iOS 26.3, crediting the Digital Markets Act for compelling the company to open its ecosystem.
The new features are currently in beta and allow third-party accessories to integrate more smoothly with iPhones and iPads, instead of favouring Apple’s own devices.
Proximity pairing will let headphones and other accessories connect through a simplified one-tap process, similar to AirPods. Notification forwarding to non-Apple wearables will also become available, although alerts can only be routed to one device at a time.
Apple is providing developers with the tools needed to support the features, which apply only within the EU.
The DMA classifies Apple as a gatekeeper and requires fairer access for rivals, with heavy financial penalties for non-compliance.
Apple has repeatedly warned that the rules risk undermining security and privacy, yet the company has already introduced DMA-driven changes such as allowing alternative app stores and opening NFC access.
Analysts expect the moves to reduce ecosystem lock-in and increase competition across the EU market. iOS 26.3 is expected to roll out fully across Europe from 2026 following the beta cycle, while further regulatory scrutiny may push Apple to extend interoperability even further.
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Italy’s competition authority has ordered Meta to halt restrictions limiting rival AI chatbots on WhatsApp. Regulators say the measures may distort competition as Meta integrates its own AI services.
The Italian watchdog argues Meta’s conduct risks restricting market access and slowing technical development. Officials warned that continued enforcement could cause lasting harm to competition and consumer choice.
Meta rejected the ruling and confirmed plans to appeal, calling the decision unfounded. The company stated that WhatsApp Business was never intended to serve as a distribution platform for AI services.
The case forms part of a broader European push to scrutinise dominant tech firms. Regulators are increasingly focused on the integration of AI across platforms with entrenched market power.
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Fraudulent investment platform Nomani has surged, spreading from Facebook to YouTube. ESET blocked tens of thousands of malicious links this year, mainly in Czech Republic, Japan, Slovakia, Spain, and Poland.
The scam utilises AI-generated videos, branded posts, and social media advertisements to lure victims into fake investments that promise high returns. Criminals then request extra fees or sensitive personal data, and often attempt a secondary scam posing as Europol or INTERPOL.
Recent improvements make Nomani’s AI videos more realistic, using trending news or public figures to appear credible. Campaigns run briefly and misuse social media forms and surveys to harvest information while avoiding detection.
Despite overall growth, detections fell 37% in the second half of 2025, suggesting that scammers are adapting to more stringent law enforcement measures. Meta’s ad platforms earned billions from scams, demonstrating the global reach of Nomani fraud.
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Deutsche Bank has warned that surging AI investment is helping to prop up US economic growth. Analysts say that broader spending would have stalled without the heavy outlays on technology.
The bank estimates hyperscalers could spend $4 trillion on AI data centres by 2030. Analysts cautioned returns remain uncertain despite the scale of investment.
Official data showed US GDP grew at a 4.3% annualised rate in the third quarter. Economists linked much of the momentum to AI-driven capital expenditure.
Market experts remain divided on risks, although many reject fears of a bubble. Corporate cash flows, rather than excessive borrowing, are funding the majority of AI infrastructure.
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Meta has restricted access in India to two AI-generated videos posted by the Congress party. The clips depicted Prime Minister Narendra Modi alongside Gautam Adani, Chairman of the Adani Group.
The company stated that the content did not violate its community standards. Action followed takedown notices issued by Delhi Police under India’s information technology laws.
Meta warned that ignoring the orders could jeopardise safe harbour protections. Loss of those protections would expose platforms to direct legal liability.
The case highlights growing scrutiny of political AI content in India. Recent rule changes have tightened procedures for ordering online takedowns.
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AI is extending the clinical value of chest X-rays beyond lung and heart assessment. Researchers are investigating whether routine radiographs can support broader disease screening without the need for additional scans. Early findings suggest existing images may contain underused diagnostic signals.
A study in Radiology: Cardiothoracic Imaging examined whether AI could detect hepatic steatosis from standard frontal chest X-rays. Researchers analysed more than 6,500 images from over 4,400 patients across two institutions. Deep learning models were trained and externally validated.
The AI system achieved area-under-curve scores above 0.8 in both internal and external tests. Saliency maps showed predictions focused near the diaphragm, where part of the liver appears on chest X-rays. Results suggest that reliable signal extraction can be achieved from routine imaging.
Researchers argue the approach could enable opportunistic screening during standard care. Patients flagged by AI could be referred for a dedicated liver assessment when appropriate. The method adds clinical value without increasing imaging costs or radiation exposure.
Experts caution that the model is not a standalone diagnostic tool and requires further prospective validation. Integration with clinical and laboratory data remains necessary to reduce false positives. If validated, AI-enhanced X-rays could support scalable risk stratification.
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