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    India’s bold semiconductor push shows promise

    • Signs 12 MoUs to propel indigenous technologies across critical areas—including camera modules, advanced packaging, and the creation of a robust talent development ecosystem at SEMICON India 2025.

    India’s ambition to emerge as a global powerhouse in semiconductor manufacturing is no longer a distant dream—it’s evolving into a robust reality.

    At SEMICON India 2025, leading voices from the industry echoed a shared optimism about India’s systemic transformation, attributing the progress to its rich talent pool, forward-thinking policies, and flourishing global partnerships.

    Prime Minister Narendra Modi set an inspiring tone at the event, underlining India’s fervor for exponential growth in the semiconductor sector. His vision has been met with enthusiasm by industry leaders, who recognise India’s rising stature within the global semicon ecosystem.

    SEMICON India proved to be a fertile ground for forging new alliances.

    Record MoUs and innovation push

    A highlight of SEMICON India 2025 was the signing of twelve Memorandums of Understanding (MoUs) to propel indigenous technologies across critical areas—including camera modules, advanced packaging, and the creation of a robust talent development ecosystem.

    These agreements mark a pivotal step in homegrown innovation, reassuring stakeholders about India’s intent and capability.

    To ignite deeper innovation, Union Electronics and IT Minister Ashwini Vaishnaw introduced the Deep Tech Alliance, backed by nearly $1 billion in early funding.

    Initially centered on semiconductors, this Alliance is set to expand into transformative sectors like clean energy, biotechnology, quantum technology, and space. Vaishnaw believes this dedicated pool of venture capital will give emerging deep-tech industries the momentum they need.

    India’s methodical approach to approving projects—prioritising professional evaluations over speed—has led to sustainable growth, according to Vaishnaw.

    Two semiconductor fabs are currently operational, with more on the horizon, setting the stage for exponential sectoral acceleration.

    Country’s deep commitment

    A standout initiative presented at the summit featured twenty homegrown chips, designed and manufactured by Indian university students, which were exhibited to Prime Minister Modi. This is testament to the country’s deep commitment to fostering indigenous innovation.

    India is leveraging its educational strength: 78 universities are now equipped with state-of-the-art electronic design automation (EDA) tools, building a workforce that already constitutes around 20 per cent of the global semiconductor talent pool.

    The nation’s startup ecosystem is blossoming too—over 28 homegrown startups have bridged the gap from prototype to product. Recent MoUs further cover the creation of fully indigenous IoT chipsets and sophisticated camera systems.

    In addition, premier research institutes like IIT Madras have rolled out Indian-designed microcontrollers and processors, laying the foundation for self-sufficiency.

    Government initiatives like the Design Linked Incentive (DLI) scheme have accelerated intellectual property creation, with a portfolio of key products and patent-worthy innovations now in the pipeline.

    With bold projections that the industry could be worth $1 trillion by 2030, the momentum is undeniable. The successful unveiling of India’s first set of domestically produced chips, personally presented to Prime Minister Modi, marks a profound milestone.

    As the nation continues to harness its tech-savvy population, trusted regulatory landscape, and an ever-strengthening ecosystem, India’s aspiration to become the world’s semiconductor hub looks increasingly within reach.

    How can CIOs proactively defend against AI deepfakes?

    • AI-powered agents will cut in half the time cybercriminals need to compromise accounts by 2027.
    • Gartner finds that 62% of organisations have experienced a deepfake attack in the past year aimed at social engineering or attacking automated systems like voice and facial recognition.
    • Attackers today use generative AI (GenAI) to churn out hyper-realistic deepfakes that can slip through both automated defenses and fool humans in stressful business settings.

    AI-generated disinformation campaigns, particularly those using deepfakes, are becoming one of the biggest cybersecurity headaches for organisations today.

    Savvy adversaries are leveraging these tools not just to trick individuals, but to manipulate public opinion, disrupt businesses, and even pursue financial or political gain. It’s getting harder every year to keep up with both the technology and the threats!

    According to a 2025 Gartner survey of 302 cybersecurity leaders, deepfakes are no longer a distant threat—they’re already hitting home. Almost half (43 per cent) of respondents reported at least one audio deepfake incident targeting their organisation, and 37 per cent ran into deepfakes on video calls.

    That means we’re well past science fiction: this is a daily issue for security teams.

    It’s not just scattered incidents, either. Gartner found that 62 per cent of organisations have experienced a deepfake attack in the past year aimed at social engineering or attacking automated systems like voice and facial recognition.

    Why is this so worrying?

    Because AI is only getting faster and better. By 2027, Gartner predicts that AI-powered agents will cut in half the time cybercriminals need to compromise accounts.

    “AI agents will automate more steps in the account takeover kill chain, including using deepfake voices to make social engineering more convincing and compromising authentication channels,” notes Apeksha Kaushik, Principal Analyst at Gartner.

    Attackers today use generative AI (GenAI) to churn out hyper-realistic deepfakes that can slip through both automated defences and fool humans in stressful business settings. The result? More companies are seeing unauthorised access, costly disruptions, and an urgent need to rethink security.

    The trend is already shifting boardroom priorities. A 2024 Gartner survey of executives found that 62 per cent expect deepfakes to begin racking up costs and operational headaches for their organisations in just the next three years.

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    Ignoring this reality isn’t an option—Kaushik warns of direct threats to business continuity, steep reputational risks, and increased regulatory scrutiny if leaders don’t address the problem head-on.

    Narrative intelligence

    Managing risk now means looking at the full digital attack surface. Corporate social media, publicly available data, executive images, and brand assets are all prime material for impersonators and fraudsters.

    Once a false narrative or doctored content hits the internet, it’s nearly impossible to control the spread, much less restore lost trust or trace the source.

    To meet this new era of risk, Gartner predicts that by 2027, half of all enterprises will invest in disinformation security products or TrustOps strategies—up from less than 5 per cent today.

    The evolution goes beyond simple monitoring tools. Narrative intelligence is emerging as a new class of defense, helping organisations track perception-based and latent threats, understand how disinformation spreads, and counteract campaigns before they cause real harm.

    These proactive methods give organisations an upper hand, helping them spot risks before they become crises and maintain the credibility and trust that are more vital than ever.

    In today’s environment, standing still isn’t just risky—it’s an open invitation to the next wave of deepfake-fueled attacks.

    Data-sharing to put more pressure on Google in the long run

    • By opening Google’s data to competitors, the court is banking on strengthening future competition from both search engines and AI-driven tools.
    • Device makers and browser partners like Apple may still set Google as the default, but must also provide alternative search engine options, regularly update their default settings, and promote competitors when relevant—for instance, in privacy modes.

    Google scored a significant win in its ongoing legal tussle with US antitrust authorities, as a federal judge in Washington ruled that the tech giant would not have to sell its Chrome browser or its Android operating system.

    However, the court imposed a new requirement: Google must share crucial data with competitors to enhance competition in the online search marketplace.

    The decision sent waves through the tech and financial sectors. Shares of Alphabet, Google’s parent company, surged more than seven per cent in after-hours trading, as the threat of being forced to divest key assets was lifted.

    Apple, which benefits handsomely from its partnership with Google, also saw its shares climb by over 3 per cent following the news. The judge’s ruling allows Google to continue its lucrative payments to Apple for making Google Search the default option on Apple devices—an arrangement that antitrust regulators argued effectively squeezed out rival search engines.

    Judge Amit Mehta, overseeing the case, acknowledged that Google’s dominance in search and search advertising is illegal under antitrust law—a point he established in a previous decision from last year.

    Yet, when it came to devising remedies, Mehta struck a cautious tone.

    He noted in his opinion that rapid advancements in artificial intelligence are already reshaping the competitive landscape, perhaps more than any government intervention could.

    Investors find reasons to celebrate

    “Here the court is asked to gaze into a crystal ball and look to the future. Not exactly a judge’s forte,” Mehta remarked. He pointed out that newcomers like OpenAI’s ChatGPT pose a viable threat to Google’s dominance, and by opening Google’s data to competitors, the court is banking on strengthening future competition from both search engines and AI-driven tools.

    Still, analysts warn that the impact of these changes may not be immediate. The ruling also relieves Google of more drastic penalties. Divesting Chrome or Android would have struck at the heart of Google’s business, which depends heavily on driving user traffic to its money-spinning online ads.

    Without such severe remedies, investors found reason to celebrate.

    The judge further noted that prohibiting Google’s default search deals with Apple and other device makers would do more harm than good, particularly to those that rely on Google’s revenue-sharing payments.

    Instead, the decision introduces a more nuanced approach: device makers and browser partners like Apple may still set Google as the default, but must also provide alternative search engine options, regularly update their default settings, and promote competitors when relevant—for instance, in privacy modes.

    Google not out of the woods

    Apple, which reportedly earns around $20 billion annually from Google for search placement, will continue reaping these rewards, while users maintain the flexibility to choose alternatives like Bing or DuckDuckGo.

    Parties are already weighing next steps. The US Justice Department indicated it may appeal, while Google has voiced concerns about user privacy under the new data-sharing rules and hinted at a possible appeal that could stretch for years—eventually landing before the Supreme Court, according to legal experts.

    The ruling doesn’t mean Google is out of the woods with regulators, either. The company faces separate lawsuits challenging its dominance in other digital markets, including app stores and advertising technology.

    Mehta’s decision, meanwhile, is viewed as a measured response—recognising that the winds of technological change, driven especially by artificial intelligence, could upend the search market faster than any single court order.

    So for now, the search giant holds fast to its core products. Its rivals gain new tools to compete. And the next big battleground for Big Tech may shift—as always—toward the unpredictable frontiers of innovation.

    OpenAI eyes 1GW data centre in India through Stargate initiative

    • CEO Sam Altman may unveil more concrete plans during an upcoming (yet to be confirmed) visit to India.

    OpenAI, the renowned AI player behind ChatGPT, is setting its sights on building a massive 1GW data centre  in India as part of the US-India joint “Stargate” initiative, sources familiar with the matter told Bloomberg.

    The ambitious move signals a significant leap forward for India’s AI infrastructure and its positioning on the global tech stage.

    At present, OpenAI is actively searching for local partners to help bring the project to life. Precise details such as the finalised location and development schedule remain under wraps, but there is wide anticipation that CEO Sam Altman could unveil more concrete plans during an upcoming (yet to be confirmed) visit to India.

    The initiative follows OpenAI’s recent announcement that it will open its first office in New Delhi later this year. India, now the world’s most populous nation, stands as OpenAI’s second-largest user base.

    Strong appetite

    To cater to this surging interest, the company also rolled out its most affordable ChatGPT subscription to Indian users, cutting monthly costs to just $5—significantly less than the $20 per month that US customers pay.

    Furthermore, India claims the highest number of student users on ChatGPT worldwide, underlining the country’s strong appetite for AI tools and education.

    The Stargate initiative itself is a grand collaboration launched by US President Donald Trump shortly after taking office, bringing together heavyweights like SoftBank, Oracle, and Abu Dhabi’s MGX investment group.

    Although Stargate leaders pledged to invest $100 billion immediately (ultimately scaling to $500 billion), actual fundraising and construction have lagged behind initial promises, as acknowledged by SoftBank CEO Masayoshi Son earlier this summer.

    Deepening partnerships

    If realised, OpenAI’s data centre would land at a tense juncture in US-India relations. New Delhi has recently faced hefty 50 per cent tariffs on exports to the US, which took effect last week as part of Trump’s new trade policies.

    In response, Indian officials have announced intentions to both diversify export markets and deepen partnerships with countries beyond the US, making major tech investments like Stargate even more strategic.

    The technology sector has proven a magnet for foreign investment: for the fiscal year April 2024 to March 2025, India’s computer software and hardware industry was the country’s second-largest FDI recipient—just behind the service sector—according to the Department for Promotion of Industry and Internal Trade.

    Computer tech attracted 15 per cent of total FDI inflow over this period, highlighting robust confidence from global investors.

    As part of Stargate, OpenAI introduced the “OpenAI for Countries” program in May, promoting AI development guided by “democratic values”.

    However, some critics remain skeptical, commenting on the company’s perceived double standard due to its close relationship with President Trump, whose controversial 2020 election stance and role in the January 6 Capitol events continue to attract scrutiny.

    G42 broadens chip suppliers for UAE-US AI campus

    • Considering a roster of chipmakers such as AMD, Cerebras Systems, and Qualcomm.
    • G42 has opened negotiations with several high-profile American tech names such as AWS, Microsoft, Meta, and Elon Musk’s xAI, with Google reportedly being the closest to finalising an arrangement.

    The Abu Dhabi-based technology company G42 is taking significant steps to broaden its sources of AI chips for its ambitious UAE-US Artificial Intelligence campus.

    According to a report from Semafor on Monday, G42 is actively working to move beyond its reliance on Nvidia as its primary chip provider, aiming to diversify its supply chain for the advanced data centre.

    Sources familiar with the ongoing talks reveal that G42 has opened negotiations with several high-profile American tech names to attract them as key tenants for the data centre.

    Companies mentioned in the discussions include Amazon Web Services (AWS), Microsoft, Meta, and Elon Musk’s xAI, with Google reportedly being the closest to finalising an arrangement.

    International ambitions

    To bolster the AI capabilities of the campus, G42 is considering a roster of chipmakers such as AMD, Cerebras Systems, and Qualcomm. These firms are being eyed to supply a share of the critical computing hardware needed to support the campus’ large-scale operations and international ambitions.

    The creation of this AI-focused campus was officially announced during the May visit of US President Donald Trump to the United Arab Emirates. During his trip, President Trump highlighted a series of new agreements with the Gulf nation, with deals reported to exceed $200 billion in value.

    Why consumers sometimes prefer chatbots for sensitive purchases?

    • When it comes to privacy-laden or slightly embarrassing purchases, consumers want to know they’re dealing with an automated agent.
    • Research shows that what shoppers need isn’t a friend or a silky-voiced AI—they need a straightforward, reliably robotic chatbot to shield them from awkwardness and scrutiny.

    Consumers these days are growing frustrated with chatbots—a sentiment anyone who’s been stuck in an endless loop with one can probably relate to!

    But new research from the University of Notre Dame reveals an interesting exception: when it comes to “embarrassing” purchases, people actually want those clunky chatbots on their side, even if they’re shopping from the comfort of their own home.

    Picture yourself buying a product you’d rather not talk about, like acne cream or diarrhea medication.

    According to Jianna Jin, assistant professor of marketing at Notre Dame’s Mendoza College of Business, and her co-authors Jesse Walker and Rebecca Walker Reczek from Ohio State University, the awkwardness of these situations makes consumers lean toward non-human help.

    The study, recently published in the Journal of Consumer Psychology, dived into how the clear identity of a service agent—whether obviously a chatbot or ambiguous—affects shoppers’ willingness to engage.

    Across seven experiments and more than 6,000 participants, Jin’s team discovered that when the product is sensitive, like hemorrhoid cream, people are far more likely to opt for a store using a clearly non-human chatbot.

    In one telling experiment, over 80 per cent of participants preferred a chatbot pharmacist when seeking diarrhea medicine, but not when the product in question was a neutral one like hay fever medication.

    Identity matters: Ambiguity can backfire

    The researchers didn’t stop with medical items—they even tested dating app scenarios, where users are asked personal questions. Here, too, respondents felt more comfortable with a plainly mechanical chatbot, particularly during sensitive conversations.

    However, if a chatbot was disguised to look and sound “human,” people became suspicious, worried someone was watching or judging, and tended to back away from the interaction altogether.

    Jin puts it well: “Give consumers a chatbot that’s undeniably a robot, and those self-presentation concerns fade away—there’s no sense of being judged. But make it look vaguely human and, paradoxically, you reintroduce social anxiety.”

    Designing chatbots for awkward situations

    For brands, these findings are more than academic. They paint a clear picture: when it comes to privacy-laden or slightly embarrassing purchases, consumers want to know they’re dealing with an automated agent.

    They prefer chatbots that look and sound like machines—not ones wearing a “human mask.” In these scenarios, shoppers are even more willing to share personal information, engage with brands, and select stores that prominently feature chatbot support.

    The insight goes beyond just buying ointment at the pharmacy. Industries like car leasing—where customers may face stereotype-based judgment—could strategically use obviously non-human chatbots to make their clients feel safer.

    The message for businesses? Sometimes, what shoppers need isn’t a friend or a silky-voiced AI—they need a straightforward, reliably robotic chatbot to shield them from awkwardness and scrutiny.

    So, while the future of customer service might not be all sunshine and cyborgs, there’s a powerful space for the chatbot—just, please, let it look and act unmistakably like a machine.