Bharatiya GPT: India’s Push Towards Indigenous AI Models

As artificial intelligence continues to reshape industries globally, India has been steadily moving towards building its own large language models (LLMs), often referred to in public discourse as “Bharatiya GPT.” The term does not denote a single product, but rather represents a broader effort to develop India-focused AI systems that understand the country’s languages, cultural context, and governance needs.At the centre of this movement are government-backed initiatives, academic collaborations, and private sector innovations aimed at reducing dependence on global AI platforms.The Need for an India-Centric AI ModelMost globally dominant AI systems, including those developed by OpenAI and Google, are primarily trained on English-heavy datasets and Western contexts. While they perform well globally, their understanding of India’s linguistic diversity and socio-cultural nuances remains limited.India, with over 20 officially recognised languages and hundreds of dialects, requires AI systems that can:Understand and generate regional languages accuratelyInterpret local context, idioms, and governance frameworksServe sectors like agriculture, healthcare, and public administration at scale“Bharatiya GPT” is therefore envisioned as a solution tailored specifically to these needs.Government-Led Initiatives and Policy PushThe Indian government has played a key role in advancing indigenous AI capabilities. Under its broader digital transformation agenda, several initiatives have been launched to support AI research and deployment.One of the central efforts is the IndiaAI Mission, which focuses on:Building domestic AI infrastructureSupporting startups and research institutionsCreating datasets in Indian languagesAdditionally, institutions like Indian Institute of Technology Madras and Indian Institute of Technology Bombay have been actively involved in AI research, contributing to language models and speech technologies tailored for Indian users.Rise of Indigenous AI ModelsIndia has already seen the emergence of several homegrown AI models that align with the idea of “Bharatiya GPT.”Key Developments:AI4BharatA research initiative focused on building open-source datasets and models for Indian languages. It has played a significant role in enabling multilingual AI capabilities.KrutrimDeveloped by Ola, Krutrim is one of India’s first large language models designed specifically for Indian users, supporting multiple regional languages.Reliance Jio AI initiativesIn collaboration with global technology partners, Jio has been working on AI platforms aimed at large-scale deployment across its digital ecosystem.These developments indicate a growing ecosystem where both public and private players are contributing to India’s AI ambitions.Challenges in Building Bharatiya GPTDespite strong momentum, developing a fully indigenous AI model comes with several challenges:1. Data AvailabilityHigh-quality datasets in Indian languages are limited compared to English, making training complex.2. Computing InfrastructureTraining large AI models requires massive computational resources, an area where global players still have an advantage.3. Linguistic ComplexityIndia’s linguistic diversity adds layers of difficulty in ensuring accuracy, consistency, and contextual understanding.4. Funding and ScaleBuilding and maintaining LLMs is capital-intensive, requiring sustained investment.Strategic Importance for IndiaThe push for Bharatiya GPT is not just technological—it is also strategic.Key Benefits:Digital SovereigntyReduces dependence on foreign AI systemsInclusionEnables access to AI in regional languages, especially in rural areasEconomic GrowthSupports startups, innovation, and job creationGovernance EfficiencyHelps in citizen services, policy implementation, and digital governanceGlobal Context and CompetitionIndia’s efforts mirror a broader global trend, where countries are developing their own AI models to maintain technological independence. Nations like China and the European Union have already invested heavily in localized AI systems.In this context, Bharatiya GPT represents India’s attempt to establish itself as a serious player in the global AI ecosystem, rather than just a consumer of foreign technology.The Road AheadIndia’s journey towards building a fully functional “Bharatiya GPT” is still evolving. Future developments are expected to focus on:Expanding multilingual capabilitiesImproving accuracy and contextual understandingScaling infrastructure through public-private partnershipsIntegrating AI into everyday governance and business use casesConclusion“Bharatiya GPT” is not a single product but a national vision for AI self-reliance. It reflects India’s ambition to create technology that is not only globally competitive but also deeply rooted in its own linguistic and cultural landscape.As development continues, the success of this initiative will depend on how effectively India can balance innovation, inclusivity, and scale—while building AI systems that truly understand and serve its diverse population.

Anthropic’s Claude Cowork Plug-ins Spark ‘SaaSpocalypse’: Global Tech Sell-Off Hits Indian IT Hard

Global tech markets plunged into chaos following Anthropic’s January 30, 2026, launch of 11 open-source plug-ins for its Claude Cowork agent, igniting fears that agentic AI could obliterate traditional SaaS models and disrupt India’s IT services giants. Indian IT stocks like Infosys (down 8%), TCS (6.46%), HCLTech (5.76%), Wipro, and Tech Mahindra cratered, erasing over ₹5.7 lakh crore in market cap as the Nifty IT index dropped 19% in eight sessions, its worst since 2020.The Trigger: Claude Cowork’s Game-Changing Plug-insAnthropic, founded in 2021 by ex-OpenAI leaders Dario and Daniela Amodei, shifted AI from chatbots to autonomous “coworkers.” These no-code plug-ins bundle skills, connectors, and sub-agents for enterprise roles, autonomously planning, executing, and validating multi-step tasks like document processing, cross-verification, and adaptive strategies. Key offerings target:Plug-in CategoryCore FunctionsLegalContract review, NDA analysis, compliance checks, risk flagging.SalesProspect research, deal prep, process tracking.FinanceFinancial modelling, metrics tracking.Data/Marketing/ProductQuery/visualise datasets, campaign planning, and roadmap prioritisation.Others (Productivity, Support, Biology)Task/calendar management, issue triage, and literature analysis.This “vibe coding” lets users describe intent in plain English, bypassing specialised software from Salesforce, ServiceNow, or Adobe—threatening recurring subscriptions that fueled SaaS profits.Market Carnage: Wall Street to Dalal StreetUS: Nasdaq fell 1.4-2.4%; Goldman Sachs software basket 6%; S&P 500 -0.84%. Adobe (-7.31%), Cognizant (-10.14%), Thomson Reuters (-15.67%), Gartner (-20.87%), Equifax (-12.11%), ServiceNow/Salesforce (~7%) shed $ 300 B in market cap. Even Nvidia/Meta dipped 2-3%.India: Infosys ADR -5.56% (Nasdaq); TCS mcap below ₹10 lakh crore (2020 levels); Nifty IT -3-6% daily. Sensex dragged 100+ points.Termed ‘SaaSpocalypse’: Jefferies warns AI agents compress software categories into one interface, turning tools into utilities.Palantir’s CTO noted AI slashing SAP migrations from years to weeks, amplifying panic over billable hours in legal research, compliance, and due diligence, bread-and-butter for Indian IT juniors.Indian IT Sector: Existential Threat or Overreaction?India’s IT behemoths thrived on outsourcing data processing, analysis, and support—now AI-vulnerable. Economic Survey 2025-26 flagged risks: concentrated AI data/compute erodes India’s edge if adaptation lags. Mustafa Suleyman-like warnings predict 12-month white-collar hits (lawyers, accountants, coders).Bear Case: Agentic AI automates L1 support, reporting, testing—hollowing low-end services; clients rethink headcount-heavy models.Bull Rebuttals:JPMorgan sees “compelling value” in Infosys/TCS; correction temporary.Cognizant CEO Ravi Kumar: Enterprises need integrators for AI-human bridges; no “plug-and-play” magic.Zoho’s Sridhar Vembu: Domain expertise trumps AI; SaaS woes predated agents.Happiest Minds’ Ashok Soota: Disruption expands IT roles in transformation.Experts (Pareekh Jain, Prasad Valavade): Incremental impact; humans essential for governance, legacy integration, high-stakes decisions. Legal AI needs oversight (Adv. Varun Singh).Broader Implications and Road AheadSalesforce’s 1,000 AI-driven layoffs signal restructuring. Anthropic’s Dario Amodei reassures startups: “Claude powers AI-native firms.” Indian firms pivot to AI orchestration, but face pricing pressure (fixed-fee vs. hours). JPMorgan urges buying the dip; long-term, IT survives as AI embedders.As of February 17, 2026, markets stabilise slightly, but the AI shift, from assistant to executor, reshapes software economics. Indian IT must accelerate: reskill, embed AI in processes, or risk obsolescence. The ‘SaaSpocalypse’ may be hype, but evolution is inevitable.

Fractal Analytics IPO Debuts Muted: Shares List at 2.7% Discount, Close Day 1 Down 6% Amid AI Hype Fade

Mumbai, February 16, 2026 – AI-driven analytics firm Fractal Analytics made a tepid stock market entry today, listing at ₹876 on NSE (2.7% below the ₹900 IPO price) and flat at ₹900 on BSE, before closing the first day down 6%, signaling investor caution despite 2.66x oversubscription. With a listed market cap of ₹15,061 crore, the debut underscores market demand for execution proof over “AI buzz,” as grey market premium (GMP) flipped negative at -₹10 (-1.11%).IPO Snapshot and Subscription BreakdownThe ₹1,526 crore IPO (Dec 9-11, 2025; price band ₹857-900; lot size 16 shares) drew solid institutional interest (4.05x) but tepid retail/non-institutional bids (~1x). Allotment finalized Feb 12; trading commenced Feb 16 post-approvals. Promoters: Srikanth Velamakanni, Pranay Agrawal, Chetana Kumar, Narendra Kumar Agrawal, Rupa Krishnan Agrawal. GMP swung from +₹180 high to -₹10 low, forecasting ₹890 listing, mirroring sentiment.Key MetricDetailsIssue Size₹1,526 croreSubscription2.66x overallListing (NSE/BSE)₹876 / ₹900GMP (Feb 16)-₹10 (-1.11%)Mkt Cap (Listing)₹15,061 crorePost-listing P/E: 65.6x FY25 profits (down from 67.37x at IPO); 109.1x annualized H1 FY26, premium to Nifty 50 (~22x), pricing in growth but vulnerable to misses.Funds Utilization: Growth Bets with RisksNet proceeds target:Prepay Fractal USA borrowings.Laptops, new India offices, R&D/sales/marketing via Fractal Alpha.Inorganic growth (≤25% cap), general purposes (≤35% total).Unappraised by banks; three-year deployment. No variation without shareholder nod (special resolution). Risks: Delays, overruns, alternative funding needs (debt/accruals).Key Risks from RHP: Execution HurdlesFractal flagged multiple red flags:Operations: All 24 offices leased (non-renewal risk); 78.2% PPE insured (gaps/exclusions).Growth: Regulatory delays, hiring woes; client concentration (top 10: 54.2% Fractal.ai revenue); US reliance (64.9%).Financials: Employee costs 72.2% revenue (H1 FY26); cash lags possible.Compliance/Tax: Anti-bribery/sanctions exposure; Finance Bill 2025 uncertainties; LTCG 12.5% (>₹1.25L, >12mo hold), STCG 20%.Governance: Concentrated post-IPO holding (Apax, OLMO, TPG, promoters); PFIC risk for US investors; internal controls critical.Anchor lock-ins: 50% till Mar 13, 2026; rest May 12—potential volatility triggers.What to Watch: Investor TriggersQ4 FY26 Results: Validate FY25 ₹220.6 crore profit; margin stability amid people costs.Client Metrics: 122 MWCs (Sep 2025); sticky revenue vs. headcount bloat.Cash Flows: Receivables quality in a project-heavy model.Peers: Premium tech-services+AI valuation; execution > narrative.Analysts eye partial profit-taking for allottees; long-term hold if margins/client base expand. Fractal’s AI analytics pitch met reality check, market demands quarterly proof amid fading hype. Track live at indmoney.com/ipo/fractal-analytics-ipo.Valuation: Premium Pricing, Execution SqueezeListing P/E 65.6x FY25 (109x H1 FY26 annualized), steep vs. Nifty (~22x), peers. ROCE 13%; per-unit spend ₹0.93/Rs earned FY25. GMP crash (-₹10) reflects fading AI buzz; 2.66x subscription (QIBs 4x, retail ~1x) shows selective appetite. Mkt cap ₹15,061 Cr at list; anchor lock-ins (Mar/May 2026) loom as supply risks.Bull vs. Bear: Balanced RisksBulls: AI platforms scale margins (45.9% gross); enterprise wins (Google, Wells Fargo); IPO funds inorganic growth (25% cap), offices, R&D. Services-to-subs shift boosts repeatability.Bears: People-heavy (72% costs); unappraised proceeds; leased ops (24 sites); tax/compliance/PFIC risks; no cash flow details signal receivables lag potential. Q4 FY26 must sustain margins amid salary inflation.Investor PlaybookTraders: Eye ₹900 resistance; sell on lock-in spikes.6-12 Months: Hold if Q4 confirms profit stability, client diversification.Long-Term: Bet on AI embedment if subs >20% mix, US demand holds.Partial exits prudent; track cash flows, top-client stability over hype. Fractal’s story hinges on proving scalable profitability, not just “AI-first” labels, in a crowded analytics field.

India AI Impact Summit 2026: Detailed Agenda for Global AI Action in New Delhi

New Delhi, February 9, 2026 – India gears up for the India AI Impact Summit 2026, set for February 16-20 at Bharat Mandapam, Pragati Maidan, New Delhi, the primary venue for the India AI Impact Summit 2026, which will host the main events on February 19-20.Hosted by the Ministry of Electronics and Information Technology (MeitY), this first Global South edition, billed by Union Minister Ashwini Vaishnaw as the “largest yet,” transitions AI discourse from vision to verifiable impact under the “Three Sutras”: People, Planet, and Progress.Some sources mention a broader program across February 16-20, potentially using additional Delhi venues like Sushma Swaraj Bhawan for side events, sessions, or exhibitions. Bharat Mandapam, one of India’s largest convention centers, was upgraded by NDMC for this flagship gathering. Chief Guests and Stellar LineupPrime Minister Narendra Modi serves as the Chief Guest, inaugurating on February 16 with a keynote and hosting a leaders’ dinner. Expected heads of government include representatives from Singapore, the UAE, and Brazil (15-20 total), plus 50+ ministers. Key speakers feature Google’s Sundar Pichai, Anthropic’s Dario Amodei, Microsoft’s Satya Nadella, and Indian luminaries like Nandan Nilekani (Infosys co-founder) and Ola’s Bhavish Aggarwal. Over 40 CEOs from Reliance, TCS, and global firms join, along with a Chinese delegation, signaling a thaw in collaboration. Event Schedule and Dialogues Feb 16: Inauguration, Modi address, CEO roundtable.Feb 17-18: Plenary sessions and seven “Chakras” (working groups) on core topics.Feb 19: Startup showcase (500+ ventures), AI model launches, bilateral dialogues.Feb 20: Closing with actionable declarations.Expect 500+ parallel sessions, hackathons, and exhibitions. Dialogues include G20-style tracks on AI ethics, public-private partnerships, and Global South priorities. Participating Governments in India AI Impact Summit 2026 The summit, hosted by India’s Ministry of Electronics and Information Technology (MeitY) under the IndiaAI Mission, expects involvement from over 100 countries. Key highlights:High-Level Representation: 15-20 heads of government and 50+ ministers confirmed, including from Singapore, UAE, Brazil, and others.China: Delegation attending after India’s formal invitation, signaling AI collaboration.Preceding Hosts: Builds on summits by UK (2023 Bletchley), South Korea (2024 Seoul), France (2025 Paris).​Collaborators: NITI Aayog (India’s policy think tank), state governments like Uttarakhand (pre-summit host), and international bodies (ITU, World Economic Forum).​Global Engagement: Multinational working groups across Chakras, with US, UK, EU, and ASEAN nations active in prep consultations.​ Key Topics and Seven ChakrasThe India AI Impact Summit 2026 is structured around three foundational “Sutras” (People, Planet, Progress) that guide its discussions, with seven interconnected “Chakras” (working groups) translating these into specific, actionable themes.​Core SutrasPeople: Focuses on human-centric AI, including safeguarding rights, enhancing access to services (e.g., healthcare, education), building user trust, workforce reskilling amid job impacts, and ensuring equitable benefits across societies.​Planet: Addresses sustainable AI deployment, such as energy-efficient models, responsible resource use (e.g., reducing GPU/data center power demands), and AI applications for climate action, environmental monitoring, and resilience.Progress: Emphasizes inclusive innovation, capacity-building, productivity gains in sectors like agriculture and manufacturing, economic growth, and bridging the AI divide for the Global South.​ Seven Chakras (Key Discussion Topics)These working groups, involving 100+ countries, cover:AI governance and ethical frameworks.Trust and safety protocols for AI models (e.g., bias mitigation, transparency).AI’s impact on work and future jobs.Sector-specific applications (healthcare, agriculture, industry).Innovation and scalable solutions.Sustainability and environmental integration.Equitable access, inclusion, and development outcomes.​Sessions will also spotlight IndiaAI Mission launches, startup innovations, and global standards, prioritizing “on-ground” results over regulations. What to Expect in India AI Summit?MeitY leads with partners like NITI Aayog, NASSCOM, World Economic Forum, and ITU. Corporate backers include Google, Microsoft, NVIDIA (GPU focus), and Indian firms like Tata and Adani (data centers). Governments from US, UK, EU, and ASEAN collaborate. Attendees (10,000+), policymakers, researchers, startups, NGOs, can expect networking zones, live demos (e.g., edge AI), policy labs, and a “Global AI Talent Fair.” Launches include indigenous foundational models under the Rs 10,370 crore IndiaAI Mission. India’s Strategic Push Amid HurdlesEchoing Bletchley (2023), Seoul (2024), and Paris (2025), India’s summit prioritizes “on-ground” wins for 1.4 billion people, as per Secretary S. Krishnan. AI could add $500B to GDP (NASSCOM), but challenges like GPU imports persist—eased by US trade deals and data center tax holidays to 2047. Budget 2026-27 tweaks fund nuclear-powered AI infra, as Vaishnaw eyes energy self-reliance.Vaishnaw hailed “phenomenal” global buy-in, with NDMC upgrading venues. Beyond talks, expect MoUs on compute sharing, talent visas, and sustainable AI pacts, positioning India as an AI diplomacy hub.This summit promises not just dialogue, but deliverables: inclusive, green AI for humanity’s progress.Video credit: YT@/Digital India

Rajasthan DigiFest 2026: Jaipur to Host Regional AI Impact Conference Ahead of India AI Summit

Jaipur is set to become a major hub for artificial intelligence discussions as Rajasthan hosts the Regional AI Impact Conference 2026 on January 6, marking a significant step in India’s journey towards AI-driven governance and innovation.The conference will be held as part of Rajasthan DigiFest 2026, in collaboration with the TiE Global Summit 2026, and will serve as a crucial regional engagement leading up to the India AI Impact Summit 2026, scheduled for February this year.The high-profile event will witness the presence of Union Minister for Electronics and Information Technology Ashwini Vaishnaw and Minister of State for Electronics and Information Technology Jitin Prasada, underlining the Centre’s strong focus on accelerating AI adoption across states and sectors.A Platform for AI-Led Governance and GrowthAccording to the Ministry of Electronics and Information Technology (MeitY), the Regional AI Impact Conference in Jaipur will act as a key platform to explore how Artificial Intelligence can transform governance systems, boost economic growth, encourage innovation, and support inclusive development. The discussions are expected to focus on both policy and practice, highlighting how AI can be effectively integrated into public administration and service delivery.One of the central themes of the conference will be AI for Public Service Delivery and Governance, examining the role of emerging technologies in improving efficiency, transparency, and citizen engagement. Sessions will also address Ethical and Responsible AI, reflecting growing concerns around data privacy, algorithmic bias, and accountability in AI-driven systems.As AI continues to reshape the global workforce, the conference will feature dedicated discussions on AI and the Future of Employment and Skills. Policymakers and industry experts are expected to deliberate on reskilling, upskilling, and preparing India’s workforce for technology-driven changes.AI Conversations Extend to GuwahatiParallel to the Jaipur conference, Guwahati will host a Human Capital Working Group Meeting over the next two days. The meeting will be chaired by Prof. T. G. Sitharam, Chair of the Human Capital Working Group, and will bring together senior policymakers, academic leaders, industry experts, and practitioners.The discussions in Guwahati will focus on the future of education, skilling, and workforce readiness in the age of Artificial Intelligence, complementing the broader objectives of the AI Impact Conference. Together, these engagements underline the government’s emphasis on aligning technology advancement with human capital development.Building Momentum Towards India AI Impact Summit 2026The Regional AI Impact Conference under Rajasthan DigiFest 2026 is part of a nationwide series of dialogues aimed at building momentum for the India AI Impact Summit 2026. By bringing AI conversations closer to regional ecosystems, the initiative seeks to ensure that technological growth remains inclusive, balanced, and aligned with India’s development priorities.With Jaipur hosting this significant gathering, Rajasthan is positioning itself as an active participant in India’s AI transformation, reinforcing its role in shaping the country’s digital and innovation-led future.Video credit: YT@/DoIT&C Government of RajasthanVideo credit: YT@/DoIT&C Government of Rajasthan