StartupTalky

Tag: Artificial inteligence

  • TCS to Offer Up to 2 Years’ Severance Pay as Part of Major Workforce Restructuring Plan

    As the Indian IT giant reduces people in response to changing customer demands and increasing automation, IT juggernaut Tata Consultancy Services (TCS) is providing severance compensation of up to two years’ salary to long-serving employees whose skills no longer match corporate needs.

    In an effort to become more flexible and future-ready in the face of swift technological advancements, Moneycontrol announced in July that it will lay off 2% of its personnel, or around 12,000 workers, over the course of the following year.

    Restructuring Plan Aims to Affect Less Skilled Employee

    According to a number of media sources, the restructuring mostly impacts workers whose skills have become outdated or who haven’t upgraded to suit changing customer needs. Employees in this category are eligible for a three-month notice period under the programme, followed by a severance compensation that, depending on duration, can range from six months to two years’ salary.

    According to a media report, six months is the lowest amount of severance pay in this category. Those who have been looking for a job for more than eight months are given a more basic package that includes three months’ worth of notice pay.

    According to the company’s statement, individuals impacted by our recent drive to realign talents have received the care and assistance that is appropriate for them in each of the unique circumstances, in accordance with our company’s values.

    TCS Also Offering Career Transition

    Additionally, the exporter of IT services offers outplacement services to assist with career transitions, paying agency fees for three months, and occasionally longer for junior associates. According to insiders, the business occasionally also provides funding for access to therapists or mental health help through its “TCS Cares” programme.

    Additionally, according to sources, the corporation is offering early retirement choices to workers whose retirement is due. These workers will have access to all retirement benefits, including insurance, as well as extra severance compensation that will vary in value from six months to two years’ salary, depending on their employment.

    According to reports, the majority of the labour modifications were finished in August and September amid considerable discontent. Employees without roles are still only being reviewed in isolated circumstances; they have the opportunity to join the Resource Management Group (RMG) to investigate roles throughout the organisation.

    Quick Shots

    •Around 2% of
    the workforce (around 12,000 employees) to be laid off over the next year.

    •Restructuring
    primarily affects employees with outdated skills or those not aligned with
    changing client demands.

    •Impacted
    employees get a 3-month notice period plus severance pay ranging from 6
    months to 2 years’ salary, depending on tenure.

    •6 months’ pay,
    while those job-hunting over 8 months receive a basic package including
    notice pay.

    •TCS
    offering career transition support, including outplacement services and
    paying agency fees for 3+ months.

  • Lufthansa to Cut 4,000 Jobs Over Next 5 Years Amid Cost-Saving Plan

    In an effort to decrease expenses and adjust to new technology, the German airline firm Lufthansa has stated that it will lay off 4,000 employees by 2030, the majority of whom will be in Germany, according to news agency AFP. Rather than operational professions like pilots, cabin crew, or ground staff, the majority of the job cuts will impact administrative roles.

    Approximately 103,000 individuals are currently employed by the organisation worldwide. Eurowings, Austrian Airlines, Swiss, Brussels Airlines, and ITA Airways—which it recently purchased to become Italy’s new flagship carrier—are all part of its network.

    Lufthansa Layoffs Align with Weakening German Economy

    Germany is currently experiencing its second year of recession at the time of the announcement. While the nation’s large corporations are finding it difficult to cope with growing energy costs, competition from China, and sluggish adoption of new technologies, unemployment has reached its worst level in a decade.

    There are other German behemoths cutting employees besides Lufthansa. The industrial engineering and technology giant Bosch announced a few days ago that it will eliminate 13,000 jobs globally, or 3% of its staff.

    AI and Digitisation Core Reason for Lufthansa Layoffs

    The decision was a part of a larger evaluation of Lufthansa’s operations, the airline stated in its statement. According to the airline, the Lufthansa Group is evaluating whether operations, such as those involving duplication of effort, will no longer be required in the future. It further stated that many areas and processes will become more efficient as a result of the significant changes brought about by digitalisation and the growing use of artificial intelligence.

     This implies that a certain amount of human interaction will no longer be necessary for some administrative duties. In addition to the reorganisation, Lufthansa has established new financial goals for 2028–2030. During this time, the corporation wants to reach an adjusted operating margin of 8% to 10%.

    The company’s efforts to stay competitive in the rapidly evolving aviation sector and get ready for a challenging economic climate in Germany and Europe are reflected in the job losses.

    Layoff has Become a Common Scenario in 2025

    With big companies like Google, Microsoft, and others continuing to reduce their workforces, layoffs in the tech sector are not expected to halt in 2025.

    Companies are still cutting employees in an effort to simplify operations, save money, and emphasise automation and artificial intelligence, even though these figures are much lower than the major layoffs that occurred between 2022 and 2023.

    Layoffs.fyi, a website that tracks layoffs in the industry, reports that 93 organisations have laid off nearly 23,500 tech workers so far this year, and the number is still growing. Google and Microsoft are apparently contemplating a new round of layoffs, according to the most recent job reduction reports.

    According to reports, AI-led restructuring and performance-based terminations are part of the corporations’ goals to increase the effectiveness of their personnel.

    Quick
    Shots

    •Cost-cutting, digitisation, and
    adoption of AI automation to streamline operations.

    •Majority of job cuts in Germany,
    where Lufthansa employs most of its 103,000 staff worldwide.

    •Germany in second year of recession;
    unemployment at a 10-year high; energy costs and China competition add pressure.

    •Bosch also cutting 13,000 jobs
    globally.

  • Accenture Lays Off 11,000 Employees, Cautions of More Job Cuts Ahead as AI Reshapes Workforce

    In just three months, Accenture has secretly reduced its workforce by almost 11,000 workers, and the axe may not be hanging down anytime soon. The mammoth consulting firm is currently undergoing a comprehensive transformation aimed at equipping it for a future in which artificial intelligence—rather than human consultants—will increasingly guide the ship.

    The Dublin-based company announced specifics of a reorganisation plan for $865 million (about INR 7,669 crore) a few days ago, alerting analysts that more layoffs will be unavoidable if employees cannot be retrained quickly enough. The company’s management, under the direction of CEO Julie Sweet, has said unequivocally that while reskilling is still the best option, not all workers will be promoted.

    Accenture Aims for Financial Gains via Layoffs

    Three months prior, Accenture had 7,91,000 employees worldwide; by the end of August, that number had dropped to 7,79,000. The financial reasoning is obvious. In the most recent quarter alone, severance and associated expenses totalled $615 million, and a further $250 million is anticipated for the current quarter. After everything is said and done, the corporation anticipates that the restructuring will result in savings of over $1 billion.

    Even though it is still among the biggest professional services companies globally, the gradual reduction in staff is anticipated to last until November 2025. Remarkably, Accenture has not disclosed the exact number of positions directly associated with this reorganisation strategy. Nevertheless, the severance expense shows that the impact is substantial and will spread to its operations across the globe.

    Accenture Betting High on AI

    Accenture is increasing its investment in artificial intelligence while simultaneously reducing its human personnel. According to the corporation, generative AI initiatives accounted for $5.1 billion of new bookings in the just-concluded fiscal year, up from $3 billion in the previous year. Its willingness to actively alter its staff can be explained by that kind of growth.

    The company currently employs 77,000 AI and data workers, which is almost twice as many as it had two years ago, Sweet noted. Accenture views these “reinventors” as the cornerstone of its future. Sweet emphasised that personnel reductions are the backup plan in case upskilling doesn’t work.

    The approach is in line with a larger trend in the consulting and IT services industry, which is challenging the traditional paradigm of armies of consultants parachuting into client offices. US federal contracts are declining, corporate clients are reducing their budgets, and Accenture and its competitors cannot ignore the allure of AI-powered efficiencies.

    Quick
    Shots

    •Layoffs are part of a $865 million
    reorganisation plan, projected to save over $1 billion in costs.

    •Employee count dropped from 791,000
    to 779,000, with cuts continuing until November 2025.

    •Generative AI initiatives brought in
    $5.1 billion in new bookings, up from $3 billion the previous year.

    •Company emphasizes upskilling
    workers, but layoffs will proceed if retraining fails.

  • Paytm Money Teams Up with Jio BlackRock to Launch AI-Driven Active Equity Fund

    Jio BlackRock and Paytm Money, the wealth tech division of the fintech titan Paytm, have partnered to introduce a new AI-powered systematic active equity (SAE) fund for individual investors.

    The financial giant said in a statement that Paytm Money will only provide Jio BlackRock flexi cap fund subscriptions. On September 23, the new fund offer will go live, and it will end on October 7. According to a release by Paytm, investors can start with a minimum investment of just INR 500 through a lump sum or systematic investment plan (SIP).

    According to a Paytm representative, the company has teamed up with Jio BlackRock to offer its flagship flexi cap SAE fund to Indian retail investors. With the entry barrier reduced to just INR 500, all Indian investors can now access strategies that were previously exclusive to international institutions.

    What is systematic active equity (SAE)?

    The SAE technique was created by BlackRock, a US-based asset management firm, and uses AI and machine learning to examine big, complicated data sets and produce investment insights for almost 1,000 Indian businesses.

    The Jio BlackRock flexi cap fund described before asserts that its indicated total cost ratio is 0.5%. It is anticipated that the cooperation will employ Jio BlackRock’s technical know-how, Paytm’s large user bases, zero-commission strategy, and digital onboarding to attract India’s expanding group of retail investors and establish a foothold in the wealth tech industry.

    BlackRock and Jio Financial Services have partnered to form Jio BlackRock Asset Management. The company’s announced plan to launch about a dozen equity and debt funds in India by the end of 2025 includes the most recent NFO.

    Jefferies Hiking Paytm’s Price Tag

    The news comes just a day after broking company Jefferies increased Paytm’s price target (PT) to INR 1,420, citing fresh prospects for the fintech giant in wealth management and BNPL products.

    The fintech powerhouse earned a profit in Q1 FY26, reporting a net profit of INR 122.5 Cr as opposed to a net loss of INR 840.1 Cr in Q1 FY25. This is another reason for the bullishness. During the reviewed quarter, Paytm’s operating revenue increased by 28% to INR 1,918 Cr from INR 1,502 Cr during the same period last year.

    A rising top line, increased investments in Paytm Money, and lessened regulatory obstacles are all contributing to the company’s stock price increase. The company’s stock has risen over 33% in the last three months and is up almost 15% so far this year.

    Quick
    Shots

    •NFO open from September 23 to October
    7, 2025, with a minimum investment of just INR 500 via lump sum or SIP.

    •SAE strategy uses AI and machine
    learning to analyze complex data for around 1,000 Indian companies, creating
    data-driven investment insights.

    •Fund is a flexi cap SAE fund with an
    indicated total cost ratio of 0.5%, aimed at making institutional-level
    strategies accessible to retail investors.

    •The collaboration leverages Jio
    BlackRock’s tech expertise and Paytm’s large user base and digital onboarding
    to tap India’s growing wealth tech market.

     

  • India Invests $18 Billion to Build Semiconductor Manufacturing Powerhouse

    Given the intense competition and its late entry into the race to produce the most cutting-edge chips, India’s chances of becoming a big player in the global chip industry are slim. A worldwide competition for semiconductor self-reliance started in 2022 when the United States limited exports of its sophisticated AI chips to China in an effort to limit Beijing’s access to cutting-edge technology.

    It presented an opportunity for India, which aims to diversify its electronics industry away from China, secure chips for vital industries, and lessen its reliance on imports. Despite being one of the biggest electronics users in the world, India has no domestic chip manufacturing and contributes very little to the global supply chain.

    The “Semiconductor Mission” in New Delhi seeks to alter that. The goal is audacious. It seeks to establish a whole supply chain in India, including design, manufacturing, testing, and packaging.

    India has Approve 10 Semiconductor Projects Till Now

    Ten semiconductor projects totalling 1.6 trillion rupees ($18.2 billion) in investment have been approved by the nation as of this month. These consist of many testing and packing facilities as well as two semiconductor production facilities. Global chip design businesses currently utilise a reservoir of engineering talent from India.

    However, experts claim that the talent pool and investments are insufficient to realise India’s chip aspirations and that progress has been uneven thus far. India needs a large number of fabs or ATP facilities, or “shiny objects”. As the vice president for global innovation policy at the Information Technology and Innovation Foundation, a think tank focused on science and technology policy, Stephen Ezell stated that India requires a dynamic, deep, and long-term ecosystem.

    Leading semiconductor manufacturers, according to Ezell, take into account “as many as 500 discrete factors” before making multibillion-dollar fab investments. India needs to improve in a number of sectors, including talent, taxation, commerce, technological policy, labour rates, regulations, and customs rules.

    Indian Govt Adding New Element to its Chip Ambition

    The Indian government expanded its chip goal in May by implementing a plan to boost the production of electronic components, which would alleviate a significant bottleneck. Since there are so few companies in India that manufacture electronic components, such as phone cameras, chipmakers have not yet seen any local market for their product.

    However, by providing financial assistance to businesses that manufacture active and passive electronic components, the new strategy opens up a possible domestic buyer-supplier base that chip makers can access. The nation also changed course in 2022 from offering better incentives to manufacturing facilities producing chips with a size of 28 nm or less.

    The smaller the chip, the better the performance and the more energy-efficient it is. By cramming more transistors into the same area, these chips can be utilised in cutting-edge technologies like quantum computing and superior artificial intelligence.

    Quick
    Shots

    •India is a major electronics consumer
    but has no domestic chip fabs.

    •U.S.–China chip war since 2022
    created opportunities for India.

    •India aims to build full supply
    chain—design, fabs, testing, packaging.

    •India needs for a large, long-term
    ecosystem with investment in fabs/ATPs.

  • MediaTek Launches Dimensity 9500 to Rival Qualcomm Snapdragon 8 Elite Gen 5 in Flagship Smartphones

    MediaTek has revealed the Dimensity 9500, their flagship processor for the upcoming generation. The new CPU outperforms the Dimensity 9400 in terms of efficiency and performance. Better on-board AI processing has also been a priority for the corporation.

    MediaTek’s “all big-core” design, which was introduced two years before, is carried over into the Dimensity 9500. In essence, the 9500 lacks dedicated tiny efficiency cores and only has large performance cores. Qualcomm’s 8-series processors, on the other hand, combine efficiency and power cores.

    Technical Dynamics of MediaTek’s Dimensity 9500

    Built on 3nm technology, the MediaTek Dimensity 9500 features four C1-Pro, three C1-Premium, and one Arm C1-Ultra CPU. According to the manufacturer, the 9500 offers up to 32% better single-core performance and is 55% more efficient at peak performance.

    Additionally, multi-core performance has increased by 17%. LPDDR5X RAM and UFS 4.1 storage, standard on all contemporary flagship smartphones, are supported by the Dimensity 9500. The Dimensity 9500 boasts the most potent AI computing on a smartphone, according to MediaTek. The NPU 990 is included with the chipset.

    The business claims that the Dimensity 9500 enables Android devices to use on-board processing to create 4K photos. Additionally, the new NPU improves the efficiency of AI tasks for models like Gemini.

    Dimensity 9500’s First Flagship Devices to be Launched in 4th Quarter of 2025

    According to the business, the fourth quarter of 2025 will see the release of the first flagship gadgets that use the Dimensity 9500. Vivo and Oppo will probably be the first businesses to release this SoC. The Dimensity 9500 has a maximum camera sensor of 320 megapixels and supports 8K recording at 60 frames per second, according to the company’s website. Up to 180 Hz of screen refresh rate is supported by the Dimensity 9500.

    Additionally, it is compatible with “Tri-Fold Displays”. The Arm Mali-G1 Ultra MC12 in the MediaTek Dimensity 9500 improves performance by 33%. This chipset, according to the firm, is the first to offer gaming at 120 frames per second with ray tracing. Additionally, it can convert 60fps titles to 120fps.

    According to MediaTek, the chipset is 30% more efficient when playing games and using social audio call apps. It’s interesting to note that a day later, Qualcomm will also reveal its flagship device, the Snapdragon 8 Elite Gen 5.

    Quick
    Shots

    •Dimensity 9500 features 4× C1-Pro, 3×
    C1-Premium, 1× C1-Ultra CPUs with “all big-core” design.

    •Dimensity 9500 is up to 32% faster
    single-core, 17% better multi-core, and 55% more efficient at peak.

    •Dimensity 9500 supports 120fps ray
    tracing, frame conversion (60fps → 120fps), and 30% more gaming efficiency.

    •First devices with Dimensity 9500
    expected in Q4 2025, likely from Vivo and Oppo.

  • Nvidia Spends $900 Million to Hire Enfabrica CEO and License Startup’s Technology

    According to a report by CNBC, Nvidia recently spent more than $900 million to license Enfabrica’s technology and hire Rochan Sankar, the CEO of the artificial intelligence hardware business, along with other staff members. According to the report, Nvidia is paying cash and stock in a deal that is reminiscent of recent AI talent acquisitions done by Meta and Google.

    The report further stated that the acquisition was finalised last week, and Rochan Sankar, the CEO of Enfabrica, has joined Nvidia. Since the introduction of OpenAI’s ChatGPT in late 2022, Nvidia has been the mainstay of the AI boom. Large language models are trained using the company’s graphics processing units (GPUs), which are typically purchased in large clusters and enable giant cloud providers to provide AI services to customers.

    Nvidia Building a Strong AI Network

    Nvidia’s latest AI chips, such as the A100, came in towering racks with 72 GPUs installed and cooperating, whereas its older models were single processors that slid into servers. Microsoft stated on September 18 that the $4 billion data centre in Wisconsin would house that kind of technology.

    The 2019-founded company Enfabrica claims that its technology can link over 100,000 GPUs. Nvidia may be able to provide integrated systems around its processors with the aid of this technology, enabling clusters to function as a single computer. In 2023, Nvidia made a $125 million Series B investment in Enfabrica under the leadership of Atreides Management.

    The business claimed that the valuation was five times higher than its Series A capital, but it did not reveal it at the time. Spark Capital, Arm, Samsung, and Cisco were among the investors who helped Enfabrica raise an additional $115 million towards the end of last year. The post-money valuation was approximately $600 million, according to PitchBook.

    Nvidia’s Competitors also Hiring Elite AI Talent

    Through agreements that resemble acquisitions, tech powerhouse Meta, Google, Microsoft, and Amazon have all heavily invested in hiring elite AI talent. Because of the agreements, the companies are able to hire outstanding researchers and engineers without having to worry about the regulatory complexities associated with acquisitions.

    The largest of these transactions occurred in June, when Meta acquired a 49% share in Scale AI and paid $14.3 billion to Alexandr Wang and other Scale AI founders. A month later, Google revealed that it had reached a $2.4 billion deal, including licence costs, to hire Varun Mohan, co-founder and CEO of Windsurf, a business that specialises in artificial intelligence code, along with other R&D staff. Google struck a similar agreement to hire Character’s founders last year. AI. Amazon did the same for Adept, while Microsoft did the same for Inflection.

    Quick
    Shots

    •Nvidia’s deal mirrors AI talent
    acquisitions by Meta, Google, Microsoft & Amazon.

    •Nvidia GPUs power large language
    model training and dominate AI infrastructure.

    •Nvidia had already invested $125M in
    Enfabrica’s Series B in 2023.

    •Enfabrica raised funds from Spark
    Capital, Arm, Samsung, Cisco, hitting around $600M valuation.

  • Microsoft CEO Satya Nadella Warns AI Could Disrupt and Kill Major Products, Businesses

    Satya Nadella, the CEO of Microsoft, has acknowledged that he has a disturbing notion that keeps him up at night: what if the computer giant fails to survive the AI revolution? An innocent query about workplace culture ultimately led to a rare moment of weakness from the guy in charge, which prompted his open revelation during an employee-only town hall.

    Nadella, who has led Microsoft into its current AI-driven renaissance, acknowledged that the company’s largest and most lucrative endeavours might not be as significant in the future. According to him, some of the company’s largest ventures may not be as significant in the future.

    Nadella Narrates the Ordeal of DEC

    The CEO cited Digital Equipment Corporation (DEC), a well-known cautionary tale from Silicon Valley’s history. Early in the 1970s, DEC was a major force in computing, but it lost its appeal when it couldn’t keep up with new developments, especially the Reduced Instruction Set Computing (RISC) architecture. Nadella acknowledged that the IT sector is replete with examples of once-great businesses that have simply vanished.

    He went on to say that DEC is the specific one that haunts him. He disclosed that his first computer was a DEC VAX, and he had previously fantasised of working there; thus, the reference also had a personal sting. He pointed out that Microsoft ended up reaping unanticipated benefits from DEC’s downfall. He recalled that several of the developers of Windows NT were from a DEC lab that had been laid off, highlighting the fact that industry disruptions frequently cause talent to go from one company to another.

    When a UK-based employee noted that Microsoft felt noticeably different, colder, more rigid, and lacking in the empathy Microsoft had come to respect, then the topic of corporate mortality came up. The criticism was courageous, and Nadella did not brush it off. Rather, he acknowledged that the emotion was accurate and pledged to consider how leadership could improve.

    Survival in a Fast-Evolving Industry is the Need of the Hour: Nadella

    In addition to addressing the market’s AI-driven uncertainties, Nadella recognised that the corporation had to foster an atmosphere where workers feel encouraged, appreciated, and heard. After all, surviving in a rapidly changing sector depends as much on retaining your workforce as it does on winning technology fights. The openness of the CEO acted as a rallying cry as much as a warning.

    His message is that unless a corporation continuously adjusts, irrelevance will always lurk, regardless of how tall it may appear. Microsoft also needs to be on guard in this new AI-powered environment, or DEC could disappear despite its early supremacy.

    However, Nadella’s remarks also highlighted the emotional strain of running a business with such a past. He seems eager to find a balance between leading Microsoft into the future and re-establishing trust with its employees, despite being haunted by the demise of previous titans and confronted by internal worries.

    Quick
    Shots

    •At an internal town hall, Nadella
    shared his personal fears about Microsoft’s survival in the AI era.

    •Nadella cited Digital Equipment
    Corporation (DEC) as a reminder of once-dominant tech giants that collapsed.

    •Nadella revealed his first computer
    was a DEC VAX, making the story emotionally significant.

    •Nadella stressed the need for
    constant adaptation, empathy, and cultural resilience.

  • IndiaAI Mission Selects Fractal, Tech Mahindra and 6 Others to Develop Indigenous LLMs

    Under the IndiaAI Mission, the Centre has chosen eight new organisations to create indigenous fundamental large language models (LLMs). At today’s AI Impact Summit 2026 kickoff event, IT minister Ashwini Vaishnaw announced the eight companies that have been chosen: Tech Mahindra, Fractal Analytics, Avataar AI, Zeinteiq Aitech Innovations, Genloop Intelligence, NeuroDX (Intellihealth), Shodh AI, and IIT Bombay’s BharatGen consortium.

    With INR 988.6 Cr in funding from the Mission, IIT Bombay is reportedly developing a trillion-parameter model. Sarvam AI, Gnani.ai, and Gan AI were the three startups chosen in the initial phase of the IndiaAI Mission to develop AI models.

    The first batch of models is “progressing well”, according to the IT minister, who also voiced optimism that India will have operational LLMs by the time of the AI Impact Summit in February of the next year. In the next ten days, the government also intends to publish an AI framework to direct the creation and application of models.

    “India finally wants to play in the big leagues of AI. The government is throwing its weight behind IIT Bombay, Fractal, Tech Mahindra, and a few others to build indigenous LLMs. On paper, it’s bold. In practice, it’s an uphill climb. Now, with AI, we don’t have the luxury of missing the bus. AI isn’t just another industry. It’s the foundation of every future industry: health, defense, finance, education, governance. If India is only an “AI service center,” we’ll be permanently dependent, permanently behind,” opined Kapil Gupta, Founder, Solh Wellness.

    IndiaAI Mission Also Scaling Computing Infrastructure

    The IndiaAI Mission has been expanding its computing infrastructure in tandem with model development. Abhishek Singh, CEO of the IndiaAI Mission, recently stated that in order to promote research and innovation, the government is attempting to install 38,000 GPUs at reasonable prices throughout the nation.

    Additionally, 600 data laboratories will be established nationwide as part of the initiative. With the assistance of cloud and data service providers like Yotta Data Services and NxtGen Cloud Technologies, India had already deployed over 17,300 GPUs as of June 2025.

    IndiaAI Mission Also Offering Cost Effective Options

    Nearly 3,850 additional GPUs, including NVIDIA H100 units and Google’s sixth-generation Trillium TPUs, have now been added through a third round of tenders. Additionally, the government has been lowering prices; compute power is now available for as little as INR 65 per hour.

    The IndiaAI Mission, which was approved by the Union Cabinet in March 2024 and would cost INR 10,372 Cr over five years, aims to strengthen the nation’s AI ecosystem by providing universities, research institutes, and businesses with access to state-of-the-art computing capacity.

    AI Governance Framework by 28 September

    Additionally, according to Vaishnaw, by September 28, the Ministry of Electronics and IT (MeitY) will publish an AI governance framework that would describe checks and balances and safety restrictions to protect civilians from AI harm. He stated that the Ministry was collaborating with the Ministry of External Affairs to determine the list of invitees for the AI Impact Summit, including whether to invite nations like China that did not attend previous summits in the UK, South Korea, and France.

    The Promotion and Regulation of Online Gaming Act, which outlaws all online money games, will go into effect on October 1st, the Minister further stated.

    Quick
    Shots

    •Tech Mahindra, Fractal Analytics,
    Avataar AI, Zeinteiq Aitech, Genloop, NeuroDX, Shodh AI, and IIT Bombay’s
    BharatGen Selected for IndiaAI Mission.

    •IIT Bombay developing a
    trillion-parameter model with INR 988.6 Cr funding.

    •Sarvam AI, Gnani.ai, and Gan AI
    chosen earlier; models reportedly progressing well.

    •Govt targets 38,000 GPUs for
    research, already deployed 17,300 as of June 2025.

  • Nvidia Invests $5 Bn in Intel, Seals Chip Partnership to Strengthen AI and Semiconductor Edge

    Just weeks after the White House negotiated an unprecedented agreement for the U.S. government to acquire a significant share in the company, Nvidia announced on September 18 that it will invest $5 billion in Intel (INTC.O) and create a new tab, lending its weight to the faltering U.S. chipmaker. Once fresh shares are issued to finalise the deal, the investment will immediately make Nvidia one of Intel’s major shareholders, holding at least 4% of the business.

    After years of unsuccessful turnaround attempts at the renowned American manufacturer, Nvidia’s assistance opened up a new avenue for Intel and caused a 30% increase in the struggling chipmaker’s shares in premarket trading. In March, the business, which was formerly the leader of the semiconductor industry and was said to have placed the “silicon” in Silicon Valley, named Lip-Bu Tan as its new CEO.

     American elected officials, including President Trump, criticised him and demanded his resignation because of his ties to China. After a hastily scheduled meeting in Washington, Intel made the unprecedented decision to grant the US a 10% share in the business.

    What Nvidia and Intel Partnership will Offer?

    Although the agreement calls for Intel and Nvidia to work together to build PC and data centre chips, it is important to note that Intel’s contract manufacturing company—referred to as a “foundry” in the chip industry—will not be producing chips for Nvidia.

    According to the majority of analysts, Intel’s foundry would eventually need to acquire a major client like Nvidia, Apple, Qualcomm, or Broadcom in order to survive. In a statement, Nvidia, whose essential processors are driving a global surge in artificial intelligence, said it would buy Intel common stock for $23.28 a share, which is marginally less than the $24.90 closing price of Intel shares on 17 September.

    That is more expensive than the $20.47 per share price that the US government paid last month for an unprecedented 10% interest in Intel. Taiwan’s TSMC may be at risk as a result of the agreement. Currently, TSMC produces the flagship CPUs for Nvidia, a business that the most valuable corporation in the world may eventually expand to Intel. With Nvidia’s support, AMD, which rivals Intel for data centre chip supply, also stands to lose.

    What this Deal Means to Intel?

    After announcing a $2 billion investment from Softbank and receiving $5.7 billion from the U.S. government, Intel has a rising capital reserve that this deal adds to. At a Deutsche Bank conference last month, Intel’s chief financial officer, David Zinsner, assured investors that the company was in a “good cash position” and would not need much more funding until it saw substantial demand for 14A, a next-generation manufacturing process that it anticipates investing heavily in developing.

    CEO Tan has promised to keep Intel’s operations minimal and only increase production capacity when demand requires it. As part of the planned agreement, Nvidia would package its AI chips, or GPUs, with specialised data centre central processors designed by Intel. The Intel and Nvidia CPUs will be able to communicate more quickly thanks to a proprietary Nvidia technique. Since numerous chips must be connected in order for them to function as a single unit in order to process enormous volumes of data, fast connectivity is a crucial differentiation in the AI business.

    Since Nvidia’s top-selling AI servers with those fast links are currently only available with Nvidia’s own CPUs, the agreement would place Intel on an even playing field and allow it to profit from each Nvidia server.

    Quick
    Shots

    •Intel shares jumped 30% in premarket
    trading following the announcement.

    •Nvidia and Intel to co-develop PC and
    data centre chips but not use Intel’s foundry for Nvidia GPUs.

    •Deal strengthens Intel’s AI
    positioning and challenges Taiwan’s TSMC dominance.

    •Partnership could pressure AMD and
    TSMC while boosting Intel’s relevance in AI servers.