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Modi Hails Youth-Led Space Revolution as Over 200 Startups Take Flight

Prime Minister Narendra Modi, in the latest edition of his monthly Mann Ki Baat address, celebrated astronaut Shubhanshu Shukla’s triumphant return from the International Space Station, calling it a moment that sparked a wave of enthusiasm for space science among India’s youth. He noted that in commemorating this milestone alongside the success of Chandrayaan‑3, India has witnessed a profound surge in curiosity—from children who now dream of becoming space scientists to a growing ecosystem of innovation powering their ambitions.

Modi revealed that just five years ago, India had fewer than 50 space-related startups, a number that has now risen to over 200, underscoring the rapid expansion of the nation’s private space sector. This growth is not only symbolic but reflects a tangible shift toward entrepreneurship and self-reliance in advanced technology domains.

He highlighted that his government’s “Swadesh Movement” and the vocal for local initiative are strengthening indigenous innovation, positioning startups at the forefront of India’s push toward a developed nation by 2047. As an example of grassroots engagement, Modi described how the INSPIRE‑MANAK programme—which encourages innovation among schoolchildren—has seen participation double following Chandrayaan‑3.

Beyond counting startups, Modi praised young Indians for excelling in science and mathematics Olympiads, and he lauded achievements in sports and cultural heritage that capture the nation’s imagination. He also encouraged citizens to contribute ideas on celebrating National Space Day on August 23, aiming to further engage youths in scientific exploration and space awareness.

Earlier this year, the government had launched a ₹500 crore (approximately $58 million) Technology Adoption Fund via IN‑SPACe to support early-stage space startups, aiming to reduce dependence on imports and accelerate commercial innovation. A ₹1,000 crore VC fund was also approved to drive investment in the sector. These measures have bolstered ecosystem growth, enabling private players to contribute meaningfully to orbital infrastructure, satellite manufacturing, and mission-critical systems.

Modi’s address made it clear: India’s youth no longer see space as a distant dream. With breakthrough missions, policy support, and an entrepreneurial ecosystem now flourishing, a new generation is ready to transform science fiction into science fact.

Google’s Gemini App Reaches 450 Million MAUs as AI Goes Mainstream

Google’s AI chatbot app Gemini has surpassed 450 million monthly active users globally, with daily usage up more than 50% quarter-over-quarter, signaling a pivotal shift in how consumers engage with artificial intelligence tools.

This explosive growth is particularly strong in India, where strategic localization plays a key role. The app now supports 12 Indian languages and benefits from seamless integration with Android devices. India’s contribution to Gemini’s expansion highlights the country as a high-growth market for AI-driven consumer tools. Google’s Q2 2025 earnings reveal compelling numbers: overall revenue hit $96.4 billion, fueled by a 14% year-over-year rise, with Google Cloud growing 32% to $13.6 billion. Gemini is credited partly with driving this surge in cloud usage by enabling advanced AI workloads.

On Google Search, the AI Overviews feature—delivering AI-generated summaries in search results—now reaches over 2 billion monthly users, helping elevate query volumes by more than 10% globally. Meanwhile, AI Mode, which turns search into an AI chat experience, has crossed 100 million MAUs, particularly in the U.S. and India. According to CEO Sundar Pichai, more than 9 million developers are building on Gemini models, and over 70 million videos have been created using the Veo 3 AI video generator since May. These figures underscore the platform’s growing influence among both consumer and enterprise users.

Legends like Gemini 2.5 Flash, running local infrastructure in India, offer low-latency AI for regulated sectors like finance and healthcare. Google’s collaboration with local startups—like Sarvam, Soket AI, and Gnani—and institutions like IIT Bombay support “Make-in-India” AI model development. Analysts suggest Gemini’s rapid adoption reflects the transition of AI from niche use cases to everyday tools useful for drafting emails, coding, translation, content creation, and voice-assisted interaction. The app runs on billions of Android devices and integrates deeply into Google services.

Nonetheless, challenges remain. Gemini’s growth comes as regulatory scrutiny intensifies, particularly around data privacy and integration permissions. User opt-out controls have raised debate over platform access to apps like Messages and WhatsApp. More broadly, Gemini still trails OpenAI’s ChatGPT, which is estimated to have approximately 600 million MAUs. Yet, Google’s unparalleled scale—across Android, Chrome, Workspace, and Search—positions Gemini to narrow that gap faster.

Looking ahead, AI leaders see Gemini’s milestone as validation of mass market adoption. As Google invests up to $85 billion in AI infrastructure in 2025, the platform appears built for sustained growth. Analysts will closely watch monetization and regulation compliance as features mature.

In essence, Gemini’s surge to 450 million users marks AI’s transition into a core part of daily digital life. As it blends into Android, Gmail, Search, and Maps, Google is redefining the shape of AI-driven interaction—turning technology still seen as forward-looking into mainstream utility.

Tags: GeminiGoogle

Centre Carries Out Nearly 9,800 Cybersecurity Audits of Critical Infrastructure Sectors

The Government of India has conducted a sweeping cybersecurity audit covering nearly 9,800 entities across key sectors like power, energy, and banking, according to a recent statement in the Rajya Sabha by Minister of State for Electronics and IT, Jitin Prasada. The audits, jointly executed by CERT‑In and the National Critical Information Infrastructure Protection Centre (NCIIPC), aim to bolster digital resilience across India’s critical infrastructure.

Under this initiative, over 200 cybersecurity firms were empanelled to perform sector‑specific security assessments. Finance and power sectors now operate dedicated incident response units—CSIRT‑Fin and CSIRT‑Power—to coordinate threat response efforts and reinforce security standards across entities in these domains.

The government emphasised that the audits form part of a broader policy to create “a safe, trusted, and accountable cyberspace for all users.” Minister Prasada noted that these measures are essential for ensuring the uninterrupted and safe operation of vital services in sectors like transport, governance, and public utilities. In addition to audits, CERT‑In has issued guidelines to help stakeholders establish State- and sector-level Crisis Management Plans. So far, 205 CCMP workshops have been conducted to educate government agencies and critical enterprises about threat detection, recovery protocols, and cyber-crisis coordination procedures.

The government has also promoted the development and deployment of indigenous cybersecurity solutions. The Centre for Development of Advanced Computing (C‑DAC) has rolled out tools in areas such as mobile security, forensic analytics, and log monitoring—designed to reduce reliance on foreign technology and enhance homegrown cyber capabilities.

This initiative comes at a time of escalating global cyber threats targeting both digital and physical infrastructures. Indian authorities have flagged multiple incidents in recent months across government portals, banking networks, and utility services, reinforcing the urgency for proactive defence measures. The audit exercise reflects a shift in strategy: from reactive post-incident responses to preventive, continuous monitoring and capability building across sectors.

In summary, nearly 9,800 cybersecurity audits conducted by CERT‑In and NCIIPC across power, energy, and BFSI sectors underscore India’s intensified focus on digital infrastructure security. With 200 certified audit agencies, specialized incident response teams for key domains, locally developed security tools, and widespread crisis preparedness training, the government is taking concrete steps toward safeguarding the nation’s cyber resilience.

TCS to Cut 12,000 Jobs, But CEO Clarifies It’s Driven by Skill Gaps, Not AI Automation

Tata Consultancy Services has announced a significant workforce reduction of approximately 12,000 employees, representing around 2% of its global staff, amounting to about 613,000 people as of June 2025. Contrary to speculation that these layoffs were driven by AI-led efficiency gains, CEO K. Krithivasan emphasized that the move is rooted in a skill mismatch and redeployment challenges, not AI automation.

Krithivasan made clear in an interview with Moneycontrol that: “This is not because of AI giving some 20 percent productivity gains… This is driven by where there is a skill mismatch or where we think that we have not been able to deploy someone.” Despite extensive efforts—training over 550,000 employees in foundational AI techniques and 100,000 in advanced skills—certain employees, especially at senior levels, couldn’t transition into tech-centric roles.

The layoffs will focus largely on mid and senior management, as well as some entry-level staff who have remained on the bench for extended periods. The reduction will be phased over the next three quarters of fiscal 2026 and spans across all geographies and business domains, according to the company. TCS has reaffirmed its commitment to talent development and continues to hire high-quality professionals with specialized expertise. Krithivasan stressed, “We will continue to look for new talent, and training continues,” highlighting the insurer’s strategy to stay future-ready amid evolving technology demands.

Beyond the layoffs, TCS has introduced updated HR policies requiring employees to have a minimum of 225 billable days per year and resist remaining on the bench for more than 35 days. These changes have raised employee concerns, with some filing complaints with labor departments across different states. Krithivasan also explained that TCS is transitioning from a traditional waterfall delivery model to an agile, product-centric model, reducing reliance on multiple leadership layers and project management roles that were common in legacy project structures.

The company has pledged to treat impacted employees with care, offering a comprehensive exit process including notice period compensation, severance packages, extended health insurance, mental health counseling, and outplacement support, aiming for a compassionate and structured transition.

Rather than reflecting a broader AI-led transformation, analysts suggest the job cuts are emblematic of shifting skill priorities and business models in the IT sector. The decision to streamline headcount highlights both the growing scarcity of deployable domain skills and the imperative to align workforce capabilities with future-ready services.

Samsung Inks $16.5 B Deal to Make Tesla’s AI Chips, Signaling Big Boost for Texas Foundry

Samsung Electronics has secured a staggering $16.5 billion multi-year contract to manufacture Tesla’s next-generation AI6 chips at its new fabrication plant in Taylor, Texas. The agreement, confirmed by Samsung in a regulatory filing and later publicly acknowledged by Tesla CEO Elon Musk, extends through the end of 2033 and marks the largest single-customer contract in Samsung’s foundry history.

Shares in Samsung surged by 3.5% to 6.8%, reflecting increased investor confidence in its foundry unit, which has been under pressure due to competition and underperformance. Tesla’s stock also rose modestly following the revelation. Tesla CEO Elon Musk confirmed via his social media platform X (formerly Twitter) that the deal will see Tesla’s AI6 chips manufactured at the Texas facility already under construction. Musk emphasized the strategic importance of the partnership, including Tesla’s role in optimizing production and his personal involvement in ensuring manufacturing efficiency.

The contract illustrates Samsung’s ambition to challenge rivals like TSMC—which dominates around 67% of global foundry market share—and broaden its customer base beyond memory chips. Samsung currently holds approximately 8% of the foundry market and has historically depended on internal clients and memory products. Anticipated to produce Tesla’s AI6 chips at the Texas plant, the deal is expected to resuscitate operations that previously lacked major clients. Analysts believe it could substantially reduce Samsung’s foundry losses, estimated at over $3 billion in H1 2025, while generating long-term manufacturing experience and credibility.

Observers caution that the deal may not involve Samsung’s most advanced 2-nanometer chip technology due to yield challenges. While Samsung has announced plans for mass production on the 2 nm node, industry experts suggest that achieving acceptable yields remains a hurdle. Tesla’s AI6 chips are expected to power its advanced autonomous driving systems, humanoid robotics, and internal data-center AI workloads—supporting Tesla’s broader ambition to reduce dependence on GPU suppliers like Nvidia and AMD. Musk indicated in a recent earnings call that AI6 production may outpace the contract’s nominal total, with potential volume several times higher than $16.5 billion when ramp-up is factored in.

The Texas facility was built with support from the U.S. CHIPS and Science Act, which included about $4.75 billion in federal incentives. Samsung’s larger investment in domestic foundry infrastructure aligns with South Korea’s broader push to deepen bilateral semiconductor ties with the U.S., particularly as trade policy uncertainties rise.

While the deal brings optimism, analysts remain cautious about Samsung’s ability to deliver consistent yields and profitability. Past forecasts highlighted the risk of the Texas fab becoming a “stranded asset” if significant clients failed to materialize. Nonetheless, Macquarie and other firms note that the deal represents a turning point—offering production scale, technological learning, and validation in a competitive market.

In summary, Samsung’s agreement with Tesla marks a pivotal step in its effort to expand foundry capabilities. If executed effectively, it could serve as a catalyst for renewed competitiveness in high-end chip manufacturing—a necessary move to challenge established players in the era of AI-driven semiconductor demand.

Tags: Samsung

How UPI Changed India: A Beginner’s Guide to the Fintech Revolution

In less than a decade, India has witnessed one of the most rapid transformations in financial services, powered by a homegrown innovation—Unified Payments Interface (UPI). Launched in 2016 by the National Payments Corporation of India (NPCI), UPI has not only digitized everyday transactions but also catalyzed a broader fintech revolution, redefining how individuals, merchants, and businesses interact with money.

As of June 2025, UPI processes over 13 billion transactions monthly, amounting to more than ₹18.5 lakh crore in value. This staggering growth underscores its position as the backbone of India’s digital payments ecosystem. UPI’s interoperability, instant settlement, and zero-merchant discount rate model have made it a favorite among users—from urban millennials to small-town kirana shop owners.

The impact is visible everywhere. A vegetable vendor in Jaipur now accepts UPI payments via QR code stickers. Street food hawkers in Varanasi rely on Paytm, PhonePe, or Google Pay to avoid dealing with cash change. Even religious donations at temples are increasingly digital. UPI has democratized payments and brought millions into the formal economy.

Fintech players have flourished on UPI’s rails. Companies like PhonePe, which now holds over 47% market share, and Google Pay, have leveraged the platform to build super apps offering bill payments, insurance, mutual funds, and credit. Cred, BharatPe, and Slice have layered rewards, credit access, and BNPL services on top of UPI, tapping into India’s growing digital-savvy middle class.

Government services, too, have gone digital. Whether it’s paying property tax, receiving subsidies through DBT, or booking train tickets, UPI has become an essential layer of India’s e-governance push. Schemes like ONDC (Open Network for Digital Commerce) integrate UPI for seamless payments, challenging the duopoly of large e-commerce platforms.

Rural inclusion is another major win. With mobile penetration rising and simplified onboarding via Aadhaar and e-KYC, UPI has become an instrument of financial empowerment for rural India. UPI 123Pay, launched for feature phones, now enables even non-smartphone users to access banking services.

Internationally, UPI is going global. India has signed agreements with countries like Singapore, UAE, France, and Sri Lanka, allowing cross-border UPI payments. In July 2025, NPCI International announced partnerships to enable Indian tourists to use UPI at retail outlets in Europe and Southeast Asia, mirroring the convenience they enjoy back home.

Despite its success, UPI faces challenges. Zero MDR fees have raised concerns over monetization and sustainability for payment service providers. Fraud prevention remains critical as usage scales. Yet, the Reserve Bank of India and NPCI continue to innovate—introducing features like UPI Lite, credit on UPI, and conversational payments with voice assistants.

Ultimately, UPI has done more than digitize money—it has reshaped consumer behavior, expanded credit access, and made India a global leader in real-time payments. For beginners entering fintech or users curious about India’s digital rise, UPI is not just a technology—it’s the starting point of a financial revolution still unfolding.

How AI Is Detecting Financial Fraud Before It Happens

In the age of digital banking and real-time payments, financial fraud has evolved just as rapidly as the technologies designed to prevent it. From phishing scams to money laundering, the threats are growing more sophisticated and harder to trace. But so is the defense—and at the heart of this transformation is artificial intelligence. Across the globe, banks and fintechs are now deploying AI to detect and prevent fraud before it occurs, shifting from a reactive to a proactive model of risk management.

India, with its burgeoning fintech ecosystem, is witnessing this shift at scale. According to a 2024 PwC report, over 65% of Indian banks and NBFCs now use some form of AI-driven fraud detection. AI systems today can analyze millions of transactions in real time, identify anomalies, and flag suspicious behavior that might otherwise go unnoticed by traditional rule-based systems.

Take for example HDFC Bank, which has implemented an AI-powered “early warning system” that scans transaction data across accounts, ATM usage, and net banking activity to identify potential fraud patterns. Similarly, Razorpay uses machine learning algorithms to detect fraudulent merchant behavior on its payment gateway, reducing chargeback rates and improving user trust.

The core of AI’s strength lies in its ability to learn from large volumes of data—customer behavior, device fingerprints, IP address changes, and spending history—to establish behavioral baselines. When deviations occur—such as a sudden transfer of large amounts to unknown foreign accounts or a spike in logins from unusual locations—AI models raise instant red flags.

A powerful application of AI is in natural language processing, which banks use to monitor internal emails, chat logs, and external communications to detect insider trading or collusion. Meanwhile, facial recognition and biometric verification are used by fintech apps like Paytm and PhonePe to combat identity fraud during onboarding.

Globally, companies like Feedzai, Darktrace, and Forter are building AI solutions capable of scoring transaction risk in milliseconds. Some, like Mastercard’s Decision Intelligence, use historical fraud data to improve real-time decisioning. In 2025, Mastercard reported a 35% reduction in false declines thanks to its AI engine, helping both merchants and customers avoid friction.

Regulatory bodies are also recognizing AI’s role in fraud detection. In India, the RBI’s Digital Payment Security Guidelines encourage the use of AI for anomaly detection, while the SEBI now mandates AI-based surveillance systems for high-frequency trading platforms to prevent market manipulation.

However, AI-driven fraud prevention isn’t without its challenges. Bias in training data, false positives, and privacy concerns can lead to customer dissatisfaction or legal issues. Balancing algorithmic rigor with human oversight is crucial. Many institutions are thus opting for AI-human hybrid models, where suspicious activities are escalated for manual review by compliance teams.

As digital payments continue to surge—UPI alone crossed 13 billion transactions in June 2025—the stakes are higher than ever. AI offers a crucial defense layer that doesn’t sleep, scale limits, or miss subtle fraud patterns. For the financial industry, the goal is clear: stop fraud before money ever leaves the account. And increasingly, it’s AI that’s making this possible.

Cybersecurity Emerging as a Must‑Have Skill for All Professionals in 2025

In 2025, cybersecurity is no longer confined to specialist IT roles—it’s become a foundational skill expected of professionals across industries. A recent report explains that rising digital integration and escalating cyber threats have transformed cybersecurity into an essential workplace competency, not merely a technical niche.

As cyber attacks escalate in frequency and sophistication, every employee is now seen as a frontline defender against phishing, data breaches, and unauthorized access. Organizations expect professionals to grasp basic cyber hygiene—such as recognizing malicious emails, practicing safe data handling, and adhering to privacy norms. This shift reflects a broader trend where digital fluency and risk awareness have become inseparable from job readiness.

The urgency of this transformation is underscored by global projections. Cybersecurity Ventures estimates annual cybercrime losses could reach $10.5 trillion by 2025, highlighting why basic protective knowledge is vital even outside IT departments. And studies show that nearly two-thirds of tech leaders now prioritize cybersecurity skills when hiring entry-level staff, with seventy‑nine percent of employees open to additional training.

What does this mean in practice? Key competencies now expected include risk assessment, incident response readiness, secure online behavior, and familiarity with data protection frameworks. Professionals with even introductory knowledge of secure coding, ethical hacking, or cloud security tools are in stronger demand across roles.

The demand is driven by both technical and strategic shifts. The World Economic Forum warns of a global cybersecurity talent gap nearing 4 million experts, affecting resilience across industries and reinforcing the need for broad-based workforce readiness. Meanwhile, investors and regulators increasingly view cyber resilience as a governance priority, elevating the importance of security skills throughout organizations.

Cybersecurity professionals themselves blend technical skills—such as penetration testing, network security, intrusion detection, programming (especially Python), and cloud protection—with soft skills like communication, collaboration, and critical thinking. These skills enable individuals to not only protect systems but also explain vulnerabilities and risk scenarios to non‑technical colleagues and leadership.

For the broader workforce, acquiring basic cyber awareness often starts with short training modules on phishing recognition, password hygiene, and multi-factor authentication. Many employers now introduce such modules as onboarding essentials, while professionals are encouraged to bring cyber mindfulness into areas like remote work, BYOD policies, and third-party vendor interactions.

In essence, cybersecurity is evolving from a specialized field to a cross-functional business capability. As industries digitize, every email sent, every file shared, and every cloud service used can pose risk—making cyber awareness a baseline expectation for professionals in finance, healthcare, education, manufacturing, and beyond.

With threats growing more complex and pervasive, cybersecurity literacy is no longer optional. For employers, investments in cyber training fortify company-wide resilience. For professionals, developing cyber-savviness enhances credibility, employability, and ability to contribute meaningfully in an increasingly connected digital world.

India’s Edge Data Centre Capacity Projected to Triple by 2027: ICRA

India’s edge data centre capacity is expected to witness a threefold jump by 2027, reaching approximately 200 to 210 megawatts (MW), according to a recent report by credit rating agency ICRA. This projected growth marks a significant rise from the current estimated capacity of 60 to 70 MW, driven by increasing demand for low-latency data processing and the rapid proliferation of technologies such as 5G, Internet of Things (IoT), augmented and virtual reality (AR/VR), and generative AI.

Edge data centres are smaller facilities that are strategically located closer to end-users, often in tier II and III towns, to enable faster and more efficient data processing. While traditional data centres handle mass computing and storage workloads, edge centres cater to real-time applications, making them critical for services that require quick response times. According to ICRA, these centres currently account for only about five percent of India’s total data centre capacity. However, their share is expected to rise to nearly eight percent by 2027 as demand surges across sectors such as healthcare, manufacturing, banking, and defence.

Globally, edge data centres comprise roughly ten percent of the 50-gigawatt total data centre capacity as of December 2024. The United States leads the edge data centre market, holding a 44 percent share, followed by the EMEA region at 32 percent and the Asia-Pacific at 24 percent. India remains relatively underpenetrated in this space, with edge facilities accounting for just one percent of the total capacity, excluding captive in-house infrastructure.

ICRA’s report emphasises a complementary hub-and-spoke model, where large-scale data centres in major metros will continue to support high-volume computing, while edge centres will serve the growing need for real-time and decentralised data services. Anupama Reddy, Vice President and Co-Group Head of Corporate Ratings at ICRA, stated that as the cloud ecosystem expands in India, edge infrastructure will play a pivotal role in delivering low-latency, location-specific services while centralised facilities focus on large-scale data workloads.

Despite the optimistic outlook, the edge data centre market faces several challenges. These include data security concerns due to remote and decentralised deployments, the high risk of technology obsolescence, the scarcity of skilled manpower in non-urban areas, and issues related to integration with centralised data centres. Additionally, capital expenditure per megawatt for edge facilities is typically higher compared to traditional data centres. However, this is offset to some extent by higher rental yields, as edge data centres cater to retail and enterprise customers requiring specialised services.

Industry players such as telecom operators and RailTel are expected to play a leading role in expanding edge data infrastructure, leveraging their extensive network footprint and technical capabilities. As digital transformation accelerates and real-time data requirements continue to grow, the development of edge data centres is poised to become a crucial pillar in India’s broader digital infrastructure strategy.

Microsoft Appoints Rishi Jaipuria as Country Head for Azure India

Microsoft India has appointed Rishi Jaipuria as its new Country Head for Azure, strengthening the leadership of its cloud business at a pivotal time for enterprise adoption in the region. Jaipuria, who previously led Azure’s go‑to‑market strategy in India, will now oversee the full spectrum of Azure operations—from sales and partnerships to strategic growth initiatives aimed at accelerating cloud transformation across industries.

With over two decades in technology and business development, Jaipuria brings broad experience from organizations like Hewlett‑Packard, Dow Jones, and Teradata, where he built robust client relationships and led major cloud and data-driven projects. As Azure GTM Lead, he successfully drove market engagement and enterprise adoption, preparing large customers for digital innovation through cloud-native architectures and AI capabilities.

In his new role, Jaipuria will guide Azure India’s next phase of growth—expanding partnerships, supporting mid-market enterprises, accelerating AI-powered cloud solutions, and collaborating closely with public- and private-sector stakeholders to foster digital transformation at scale. His leadership comes as Indian businesses increasingly turn to hybrid and multi-cloud environments, while the government pushes for digital infrastructure modernization.

Expressing optimism about his promotion, Jaipuria remarked on LinkedIn that it marks an exciting opportunity to steer Microsoft’s cloud ambitions in India. Industry analysts note that his appointment adds depth to Azure’s leadership team as Microsoft and competitors like AWS and Google vie for dominance in the Indian cloud market.

Based in Gurugram and an alumnus of the Management Development Institute in Gurgaon, Jaipuria is expected to play a key role in nurturing Azure’s partner ecosystem, upskilling developers, and delivering transformative cloud solutions across sectors such as banking, e-commerce, manufacturing, and government.

Overall, the move signals Microsoft’s intent to accelerate its cloud momentum in India. With a trusted leader at the helm, Azure India is well-positioned to capitalize on growing demand for scalable, secure, and intelligent cloud services.

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