Facing tighter US export restrictions on frontier AI technology, MeitY is funding development of 20 homegrown AI models under the IndiaAI Mission, betting that open-source and domestic models — already assessed internally as "60-70-80% capable" versus frontier systems — can handle the bulk of real-world enterprise, administrative, and development workloads (Open Source For You).
Explore India's AI landscape — population, workforce sectors, state-level data.
| # | Model | Org | Indic | Global | |
|---|---|---|---|---|---|
| 1 | Sarvam-M (105B reasoning) INDIA | Sarvam AI | 🇮🇳 | 79% | 71% |
| 2 | IndicTrans2 / Airavata INDIA | AI4Bharat (IIT Madras) | 🇮🇳 | 76% | 45% |
| 3 | Vikram (30B) INDIA | Sarvam AI | 🇮🇳 | 74% | 63% |
| 4 | Param2 17B MoE INDIA | BharatGen (IIT Bombay) | 🇮🇳 | 72% | 58% |
| 5 | Hanooman (up to 40B) INDIA | SML x BharatGPT | 🇮🇳 | 68% | 55% |
| 6 | Gnani.ai Voice LLM INDIA | Gnani.ai | 🇮🇳 | 63% | 44% |
| 7 | Param-1 (2.9B) INDIA | BharatGen (IIT Bombay) | 🇮🇳 | 62% | 48% |
| 8 | Krutrim-2 (model work paused) INDIA | Ola Krutrim | 🇮🇳 | 60% | 52% |
| 9 | OpenHathi 7B INDIA | Sarvam AI | 🇮🇳 | 58% | 42% |
| 10 | IndicBERT INDIA | AI4Bharat (IIT Madras) | 🇮🇳 | 55% | 35% |
The IPL 2026 mini auction concluded on December 16, 2025 at the Etihad Arena in Abu Dhabi. With 173 players retained across all 10 franchises and a combined remaining purse of ₹237.55 Crore, a total of ₹215.45 Crore was spent on 77 players (29 overseas).
Cameron Green — ₹25.20 Crore (KKR): Became the most expensive overseas player in IPL history. The Australian all-rounder's pace bowling and power hitting made him KKR's marquee addition.
Matheesha Pathirana — ₹18 Crore (KKR): KKR invested heavily in the Sri Lankan speedster known for his sling-arm action and death-overs prowess.
Prashant Veer & Kartik Sharma — ₹14.20 Crore each (CSK): CSK made the boldest uncapped bets in IPL history, investing ₹28.40 Crore in two Indian uncapped players under Dhoni's mentorship plan.
Royal Challengers Bengaluru enter IPL 2026 as defending champions after their historic maiden title in 2025. Their retention strategy focused on core players from the winning squad, maintaining continuity over a complete rebuild.
Based on historical auction data and player performance metrics from ESPNcricinfo, franchises that allocated spend across depth rather than concentrating on 1-2 marquee buys have historically outperformed in the season (IPL 2018-2025 data: teams with more balanced auction spend finished avg 1.2 positions higher).
India tour England for a 5-match T20I series from July 1-11, 2026. This is a significant away assignment for India's T20I squad in the post-Kohli era of T20 internationals.
Virat Kohli retired from T20 Internationals after India's 2024 T20 World Cup victory in June 2024, ending with 125 T20I caps, 4,188 runs at an average of 48.69, and a strike rate of 137.04. India's middle order has since been rebuilt around Suryakumar Yadav (captain), Tilak Varma, and Rinku Singh.
Bumrah's T20I record remains the cornerstone of India's bowling attack. His economy rate of 6.27 in T20Is since 2024 is among the best for any pace bowler globally. In the ICC T20I rankings (Feb 2026), Bumrah sits at 18th for bowlers — his ranking having fluctuated due to workload management and selective availability.
England at home in white-ball cricket remain formidable. Their aggressive 'Bazball' philosophy has fully permeated into T20Is. Historically, India's away T20I record in England: played 11, won 5, lost 5, tied 1 — an evenly matched contest.
Based on head-to-head records, squad composition post-auction, and venue conditions, India are projected as slight favorites at 55-60% win probability for the series, primarily due to bowling depth advantage.
Virat Kohli played his last T20 International on June 29, 2024 — the T20 World Cup final against South Africa in Barbados, which India won by 7 runs. Kohli scored 76 off 59 balls in the final, his best knock of the tournament, fittingly ending on a high note with the trophy in hand.
Matches: 125 | Innings: 107 | Runs: 4,188 | Average: 48.69 | Strike Rate: 137.04
Hundreds: 1 | Fifties: 38 | Highest Score: 122* vs Afghanistan (2022)
Not Outs: 21 | 4s: 397 | 6s: 114
2010-2016 (Building Phase): 44 matches, 1,366 runs at 36.94. Kohli was finding his T20I groove while already dominating ODIs and Tests.
2016-2022 (Peak Phase): 58 matches, 2,100 runs at 52.50, SR 140+. This was Kohli at his devastating best — anchoring innings while maintaining elite strike rates.
2022-2024 (Final Phase): 23 matches, 722 runs at 45.12. Included the World Cup final knock. Slightly reduced volume but maintained average, accepting a slightly different role.
Kohli retires as T20I cricket's most consistent run-scorer with 38 fifties (most by any batter). His average of 48.69 with a SR of 137+ across 125 matches represents a combination of consistency and aggression that no other T20I batter has matched at similar volume.
Royal Challengers Bengaluru enter IPL 2026 as defending champions after their historic maiden title in 2025. Their retention strategy focused on the winning core — maintaining squad continuity over expensive rebuilds. Historical data shows defending champions finish in the top 4 approximately 60% of the time in the subsequent season.
Mumbai Indians: 5-time champions with the deepest talent pool. Post-auction squad shows balanced investment: no single player above ₹18Cr, but 6 players in the ₹10-18Cr range. Current Power Index: 91 (highest squad rating).
Kolkata Knight Riders: 3-time champions with aggressive rebuild. Cameron Green (₹25.20Cr) and Pathirana (₹18Cr) acquisitions show intent. Current Power Index: 87.5 — squad depth rivals MI.
Gujarat Titans: Won 2022, runners-up 2023. Ahmedabad's Narendra Modi Stadium offers distinct home advantage — avg 1st innings score of 178 (highest among IPL venues).
Chennai Super Kings: 5-time champions. Post-Dhoni era transition ongoing. CSK's bold ₹28.40Cr bet on two uncapped players (Prashant Veer, Kartik Sharma) is historically unprecedented.
Teams spending more evenly across 15+ players historically outperform those concentrating on 2-3 marquee buys. IPL 2018-2025 data: balanced-spend teams finished avg 1.2 positions higher.
Overall T20I Economy: Bumrah 6.27 | Rashid Khan 6.45 | Josh Hazlewood 7.12 | Shaheen Afridi 7.68 | Pat Cummins 7.82
Bumrah's 6.27 economy in T20Is since 2024 is the best among all pace bowlers who have bowled 100+ overs in the format.
Powerplay (0-6): Bumrah 5.8 econ (elite) — compared to Hazlewood 6.9, Cummins 6.5. Only spinner Rashid Khan (5.2) is more economical in powerplay T20Is.
Death Overs (16-20): Bumrah 8.2 econ (exceptional for pace) — compared to Arshdeep Singh 9.1, Jofra Archer 8.7, Haris Rauf 9.4. Bumrah's yorker proficiency gives India a death-bowling edge.
Bumrah's selective T20I availability (managed by BCCI to protect Test career) means fewer matches but higher per-match impact. His wickets-per-match ratio of 1.8 is among the top 3 globally for pace bowlers since 2024.
Wankhede Stadium, Mumbai: Avg 1st innings: 172 | Pace wickets: 58% | Toss win-chase correlation: 52% | Short square boundaries favor power hitters.
M.A. Chidambaram, Chennai: Avg 1st innings: 163 | Spin wickets: 47% (highest IPL venue) | Slow, turning pitches historically assist CSK's spin-heavy bowling. Dew factor moderate.
Narendra Modi Stadium, Ahmedabad: Avg 1st innings: 178 (highest) | True batting surface | Drop-in pitches offer even bounce. Capacity 132,000 creates unmatched atmosphere.
Eden Gardens, Kolkata: Avg 1st innings: 168 | Balanced pitch | Evening dew is a significant factor — teams winning toss choose to bowl 72% of the time.
M. Chinnaswamy, Bangalore: Avg 1st innings: 176 | Short boundaries + altitude = six-hitting paradise | Pace-friendly in first hour, flattens out. RCB's home fortress in 2025 title run.
Across all IPL venues, teams batting second win 53.2% of matches (2022-2025). Venues with highest dew advantage: Eden Gardens (58%), Arun Jaitley Stadium Delhi (56%), Wankhede (55%). This makes toss a significant factor — especially in evening starts.
Suryakumar Yadav assumed T20I captaincy full-time after the 2024 T20 World Cup retirement of key seniors. In approximately 28 T20Is as captain (Jul 2024 – Feb 2026), India have won roughly 19, maintaining a win percentage near 68%.
Sri Lanka T20I series (Jul 2024): India won 3-0 (SKY's first full series as captain).
South Africa away (Nov 2024): Lost 1-3 in a tough away assignment.
England T20Is (Jan 2025): Won 3-2 at home in a closely fought series.
Bangladesh (2025): Clean sweep 3-0.
SKY's captaincy is defined by aggressive field placements in the powerplay, rotating bowlers based on matchup data, and batting-first preference (60% of tosses chose to bat). His own batting has dipped slightly (avg 28.5 as captain vs 36.2 when not captain) — the weight of dual responsibility.
Win rate above 65% makes SKY one of India's most successful T20I captains statistically. The real test comes in the England away series (July 2026) where conditions will challenge India's spin-heavy approach.
India and Australia have emerged as the two most lethal pace attacks in T20I cricket. Here's how they compare across phases:
India pace unit: 7.4 econ (led by Bumrah 6.27, Arshdeep 8.1, Siraj 7.9)
Australia pace unit: 7.8 econ (led by Hazlewood 7.12, Cummins 7.82, Starc 8.2)
Powerplay (0-6): India 6.8 vs Australia 7.1 — Bumrah's 5.8 powerplay economy gives India a clear edge.
Middle Overs (7-15): India 7.2 vs Australia 7.5 — Both largely rely on spinners here, but India's part-time options are weaker.
Death (16-20): India 8.8 vs Australia 9.1 — Bumrah's yorker prowess (8.2 death econ) is the differentiator. Without him, India's death bowling average balloons to 9.6.
India's entire pace advantage rests on one man. Remove Bumrah from the stats and India's overall pace economy rises to 8.3 — worse than Australia's 7.8. This single-player dependency is India's greatest tactical vulnerability going into the 2026 England tour.
Ahead of the IPL 2026 mini auction, franchises retained 173 players collectively. The mega auction (Nov 24-25, 2024, Jeddah) set core squads; mini auction (Dec 16, 2025, Abu Dhabi) added final pieces within remaining purse limits.
Mumbai Indians: Retained Jasprit Bumrah (capped), Suryakumar Yadav, Hardik Pandya, Tilak Varma, and Ishan Kishan. Five genuine match-winners. Combined retention cost within purse while maintaining balance. MI's historical strategy: invest in Indian core, supplement with targeted overseas picks.
RCB: Retained their 2025 championship core. Smart loyalty play — historical data shows defending champions who retain 4+ players from the winning squad finish top 4 roughly 60% of the time. Continuity over disruption.
CSK: ₹28.40 Crore on two uncapped Indians (Prashant Veer and Kartik Sharma) is unprecedented. Historical data: uncapped players bought for 10Cr+ in IPL history average 7.2 matches in their first season. High variance play.
KKR: Cameron Green at ₹25.20Cr is the most expensive overseas buy ever. All-rounders at this price historically deliver ROI only 40% of the time (IPL 2018-2025 data).
Teams retaining 3+ players with 50+ IPL caps finish an average of 1.8 positions higher than teams relying on new acquisitions. Experience and team chemistry remain the strongest predictors of IPL success.
The ICC Men's T20 World Cup 2026 runs February 7 to March 8 across India and Sri Lanka. This is the expanded 20-team format's second edition. India last hosted a major ICC event during the 2023 ODI World Cup where they reached the final (lost to Australia at Narendra Modi Stadium).
India won the 2024 T20 World Cup in Barbados under Rohit Sharma's captaincy. Since then, T20I leadership has transitioned to Suryakumar Yadav. Key squad changes: Virat Kohli retired from T20Is (June 2024), Rohit Sharma stepped down from T20I captaincy. The new core: SKY (captain), Tilak Varma, Rinku Singh, Jasprit Bumrah (bowling spearhead).
9 Indian venues: Narendra Modi Stadium (Ahmedabad, final), Wankhede (Mumbai), Eden Gardens (Kolkata), M.A. Chidambaram (Chennai), Chinnaswamy (Bangalore), Arun Jaitley (Delhi), HPCA (Dharamsala), Rajiv Gandhi Intl (Hyderabad), Ekana (Lucknow). Sri Lanka hosts group stage matches in Colombo (Premadasa, SSC) and Kandy (Pallekele).
Home advantage is statistically decisive in T20 World Cups: host nations have reached the semi-final in 7 of 9 editions (78%). India's squad depth, crowd advantage across 5 Indian venues, and familiarity with conditions make them clear favorites at 30% win probability — ahead of Australia (18%), England (15%), and South Africa (12%). The wildcard: Pakistan, who have historically peaked in ICC events on the subcontinent.
✦ India's homegrown AI models now lead global Indic-language benchmarks — outperforming Silicon Valley across all 22 scheduled languages.
| # | Model | Org | Indic | Global | ||
|---|---|---|---|---|---|---|
| # | Model | Org | Indic | Global | ||
| 1 | Sarvam-M (105B reasoning) | Sarvam AI | 🇮🇳 | 79% | 71% | MADE IN INDIA |
| 2 | IndicTrans2 / Airavata | AI4Bharat (IIT Madras) | 🇮🇳 | 76% | 45% | MADE IN INDIA |
| 3 | Vikram (30B) | Sarvam AI | 🇮🇳 | 74% | 63% | MADE IN INDIA |
| 4 | Param2 17B MoE | BharatGen (IIT Bombay) | 🇮🇳 | 72% | 58% | MADE IN INDIA |
| 5 | Hanooman (up to 40B) | SML x BharatGPT | 🇮🇳 | 68% | 55% | MADE IN INDIA |
| 6 | Gnani.ai Voice LLM | Gnani.ai | 🇮🇳 | 63% | 44% | MADE IN INDIA |
| 7 | Param-1 (2.9B) | BharatGen (IIT Bombay) | 🇮🇳 | 62% | 48% | MADE IN INDIA |
| 8 | Krutrim-2 (model work paused) | Ola Krutrim | 🇮🇳 | 60% | 52% | MADE IN INDIA |
| 9 | OpenHathi 7B | Sarvam AI | 🇮🇳 | 58% | 42% | MADE IN INDIA |
| 10 | IndicBERT | AI4Bharat (IIT Madras) | 🇮🇳 | 55% | 35% | MADE IN INDIA |
Sources: LMArena / Chatbot Arena Elo, Stanford HAI, Open LLM Leaderboard, HuggingFace, AI4Bharat. Last evaluated: July 11, 2026.
| # | Title | Album/Label | Streams | Trend |
|---|---|---|---|---|
| 1 | Raanjhan (Sachet-Parampara) | Do Patti | 246M+ streams | HOT |
| 2 | Finding Her (Kushagra) | Independent (I-Pop) | Top 5 India | HOT |
| 3 | Heeriye (Arijit Singh & Jasleen Royal) | Single | Top 5 India | HOT |
| 4 | Tauba Tauba (Karan Aujla) | Bad Newz | Top 10 India | HOT |
| 5 | Softly (Karan Aujla) | Independent (P-Pop) | Top 10 India | UP |
| 6 | Saiyaara Title Track (Arijit Singh) | Saiyaara OST | Top 10 India | UP |
| 7 | Chaleya (Arijit Singh & Shilpa Rao) | Jawan Legacy | 200M+ streams | UP |
| 8 | Bhediya Title Track (Sachin-Jigar) | Bhediya 2 OST | Top 10 India | UP |
| 9 | Anuv Jain breakout (Husn) | Independent (I-Pop) | Top 10 India | HOT |
| 10 | Ghar Kab Aaoge (Arijit Singh) | Border 2 OST | Trending 2026 | NEW |
| # | Title | Lead | Buzz Score | Trend |
|---|---|---|---|---|
| 1 | Dhurandhar | Ranveer Singh | ₹853Cr WW — All-Time Blockbuster | HOT |
| 2 | Chhaava | Vicky Kaushal | ₹797Cr WW — Blockbuster | HOT |
| 3 | Saiyaara | Ensemble Cast | ₹579Cr WW — Blockbuster | HOT |
| 4 | Border 2 | Sunny Deol | ₹441Cr WW — Still Running (2026) | HOT |
| 5 | War 2 | Hrithik Roshan, Jr NTR | ₹303Cr WW — Hit | UP |
| 6 | Mardaani 3 | Rani Mukerji | ₹66.6Cr WW — Still Running (2026) | NEW |
| 7 | O Romeo | Disha Patani | ₹51.2Cr WW — Still Running (2026) | NEW |
| 8 | Ikkis | Dhawan / Kapoor | ₹41.65Cr WW (2026) | NEW |
| 9 | Sitaare Zameen Par | Aamir Khan | Released Mar 2026 | NEW |
| 10 | Thamma | Ensemble Cast | 2025 — Hit | UP |
| # | Title | Platform | Rating | Trend |
|---|---|---|---|---|
| 1 | Panchayat S4 | Prime Video | IMDb: 9.0 (115K+ votes) | HOT |
| 2 | The Family Man S3 | Prime Video | IMDb: 8.7 (110K+ votes) | HOT |
| 3 | Mirzapur S3 | Prime Video | IMDb: 8.4 (90K+ votes) | HOT |
| 4 | Paatal Lok S2 | Prime Video | IMDb: 8.3 (50K+ votes) | HOT |
| 5 | Black Warrant | Netflix | IMDb: 7.9 (7.8K+ votes) | NEW |
| 6 | The Bads of Bollywood | Netflix (Aryan Khan) | IMDb Most Popular #1 | NEW |
| 7 | Khauf | JioCinema | IMDb: 7.5 | UP |
| 8 | Khakee: Bengal Chapter | Netflix | IMDb: 7.5 | UP |
| 9 | Dupahiya | JioCinema | IMDb: 7.4 | UP |
| 10 | Criminal Justice: A Family Matter | Hotstar (Pankaj Tripathi) | IMDb: 7.2 | UP |
| # | Title | Host | Listeners | Trend |
|---|---|---|---|---|
| 1 | The Ranveer Show | Ranveer Allahbadia | Top India Charts | HOT |
| 2 | Figuring Out | Raj Shamani | Top India Charts | HOT |
| 3 | Beer Biceps | Ranveer Allahbadia | Top India Charts | UP |
| 4 | Dostcast | Kusha Kapila & Simone | Trending | UP |
| 5 | The Kapil Sharma Show Podcast | Kapil Sharma | Trending | UP |
| 6 | Cyrus Says | Cyrus Broacha | Trending | UP |
| 7 | On Purpose (India Edition) | Jay Shetty | Top Global Charts | UP |
| 8 | Barbershop with Shantanu | Shantanu Deshpande | Trending | UP |
| 9 | Hindi Kavita | Various Poets | Trending | UP |
| 10 | The Musafir Stories | Saif Omar | Trending | UP |
| # | Title | Platform | Rating | Trend |
|---|---|---|---|---|
| 1 | Panchayat S4 | Prime Video | IMDb: 8.0 | HOT |
| 2 | Aspirants S2 | TVF/Prime Video | Trending | UP |
| 3 | Gullak S5 | SonyLIV | Trending | UP |
| 4 | Kota Factory S3 | Netflix | Trending | UP |
| 5 | The Family Man S3 | Prime Video | IMDb: 8.7 (series) | HOT |
| 6 | Scam 2026 | SonyLIV | Announced | NEW |
| 7 | Rocket Boys S3 | SonyLIV | Announced | NEW |
| 8 | Mirzapur S3 | Prime Video | Trending | UP |
| 9 | Made in Heaven S3 | Prime Video | Announced | NEW |
| 10 | Kohrra S2 | Netflix | Announced | NEW |
⚠ Disclaimer: Investment figures are based on public company announcements and news reports as of February 2026. These amounts are for informational purposes only and should not be relied upon for investment decisions. Figures may be incomplete, superseded, or subject to change. This is NOT investment advice.
| Company | Investment (INR / USD) | Sector | Timeline | Status | Source |
|---|---|---|---|---|---|
| Amazon | ₹2,90,500 Cr (reported) ($35B) | Cloud + AI Infra | 2025-30 | Committed | Amazon Press Release / ET Tech |
| Infosys | ₹16,600 Cr (reported) ($2B) | Enterprise AI Services (client deployments) | 2025-26 | Active | Infosys Annual Report (AI services revenue, not capital investment) |
| Microsoft | ₹1,45,250 Cr (reported) ($17.5B) | Azure AI + Data Centers | 2025-28 | Committed | Microsoft Blog / Reuters |
| ₹1,24,500 Cr (reported) ($15B) | AI Research + Cloud Infra | 2026-30 | Committed | Google India Blog / Reuters Feb 2026 | |
| Reliance Industries | ₹9,13,000 Cr (reported) ($110B (7-year)) | AI Infrastructure + Data Centers | 2026-33 | Committed | TechCrunch Feb 2026 / India AI Summit |
| Neysa (GenAI Infra) | ₹9,960 Cr (reported) ($1.2B) | GenAI Infrastructure | 2026 | Active | Inc42 / Crunchbase (Blackstone-led, Feb 2026) |
| Nvidia | ₹8,300 Cr+ ($1B+) | GPU Supply | 2025-26 | Building | ET Tech |
| Wipro | ₹8,300 Cr (reported) ($1B) | AI Services | 2025 | Active | Wipro Q3 Report |
| Govt of India | ₹10,372 Cr (reported) ($1.25B) | IndiaAI Mission | 2024-29 | Active | PIB PRID 2225781 / MeitY |
| Tata Group | ₹4,150 Cr (reported) ($500M) | AI Semiconductor | 2026 | Planned | ET Tech |
| Adani Group | ₹8,30,000 Cr (reported) ($100B (planned)) | AI Data Centers | 2026-35 | Planned | India AI Summit Feb 2026 / Bloomberg |
| Yotta Data Services | ₹16,600 Cr (reported) ($2B) | AI Hub + Nvidia GPUs | 2026-28 | Building | CNBC Feb 2026 |
| Sarvam AI | ₹341 Cr (reported) ($41M Series A (total $53.8M)) | Sovereign LLM | 2023 | Active | Crunchbase |
Sources: Company press releases, ET Tech, VCCircle, NASSCOM, MeitY.
Sources: NSE India, BSE India, Moneycontrol, RBI bulletins, SEBI filings. Analysis based on public data through Feb 2026.
| # | Role | Avg CTC | Range | Demand | Openings | Growth | Top Hiring | Key Skills |
|---|---|---|---|---|---|---|---|---|
| 1 | ML Engineer | ₹14L | ₹10-24L | ▲ High | High | High | Google, Microsoft, Flipkart | Python, PyTorch, MLOps |
| 2 | Data Scientist | ₹13L | ₹9-20L | ▲ High | High | High | Amazon, Flipkart, Paytm | Statistics, SQL, Tableau |
| 3 | GenAI Developer | ₹12L | ₹6-22L | ▲ Very High | High | High | Sarvam AI, Observ.AI, Fractal AI | LLM APIs, Prompt Engineering, FastAPI |
| 4 | NLP Engineer | ₹25L | ₹13-50L | ▲ High | Moderate | High | Google, Microsoft, Sarvam | Transformers, Indic NLP, BERT |
| 5 | Computer Vision Engineer | ₹23L | ₹12-46L | ▲ High | Moderate | High | Microsoft, Amazon, Nvidia | OpenCV, YOLO, CNN Architectures |
| 6 | MLOps Engineer | ₹27L | ₹15-54L | ▲ High | Moderate | High | Flipkart, Amazon, Swiggy | Kubernetes, Docker, Airflow |
| 7 | AI Product Manager | ₹28L | ₹16-56L | ▲ High | Moderate | High | Google, Microsoft, PhonePe | AI Strategy, Analytics, Communication |
| 8 | Prompt Engineer | ₹6L | ₹4-10L | ▲ High | Growing | Emerging | Sarvam AI, Yellow.ai, Fractal AI | LLM Interaction, Domain Expertise |
| 9 | AI Research Scientist | ₹26L | ₹14-52L | ▲ Moderate | Limited | Medium | IIT Bombay (CSRI), Microsoft, Google | Research Publications, Paper Writing |
| 10 | Robotics AI Engineer | ₹24L | ₹12-48L | ▲ High | Niche | Emerging | IIT Madras, Mercedes, Siemens | ROS, Kinematics, Control Systems |
| 11 | LLM Fine-tuning Specialist | ₹25L | ₹13-50L | ▲ Very High | Growing | Emerging | Sarvam AI, TCS, Fractal AI | LoRA, QLoRA, Custom Datasets |
| 12 | AI Ethics Researcher | ₹22L | ₹12-44L | ▲ High | Niche | Medium | IISc, Google, Microsoft | Policy, Fairness, Bias Analysis |
| 13 | AI Solutions Architect | ₹25L | ₹18-35L | ▲ High | Moderate | High | IBM, Accenture, HCL | Enterprise Architecture, AI Design |
| 14 | Deep Learning Engineer | ₹25L | ₹13-50L | ▲ High | Moderate | High | Google, Microsoft, Nvidia | TensorFlow, Keras, Model Optimization |
| 15 | AI Infrastructure Engineer | ₹28L | ₹15-56L | ▲ High | Moderate | High | Amazon, Flipkart, Nvidia | GPU Clusters, CUDA, Distributed Training |
| Metric | 🇮🇳 India | 🇨🇳 China | 🇺🇸 USA | 🇪🇺 EU | India Trend |
|---|---|---|---|---|---|
| AI Startups | 3,000+ | 15,000+ | 18,000+ | 8,000+ | ↑ 35% YoY |
| 💡 India's AI startup ecosystem is rapidly scaling. With 3,000+ AI startups registered with NASSCOM, India trails China and USA but leads emerging economies. Growth driven by deeptech funding and government recognition (DPIIT, MeitY support). | |||||
| AI Funding 2025 | $4.2B | $38B | $110B+ | $18B | ↑ Strong |
| 💡 India's $4.2B AI funding (NASSCOM/VCCircle aggregate across AI, deeptech, and GenAI startups) reflects rising investor confidence. USA leads with $110B+ (Stanford AI Index 2025). | |||||
| AI Talent Pool | 1.2M+ | 2.5M | 3.2M | 2.1M | ↑ 28% growth |
| 💡 India has 1.2M+ AI/ML trained professionals (NASSCOM-2025 survey). IIT-IISc-IIIT ecosystem produces 40K+ AI-capable engineers annually. Global talent arbitrage benefits Indian startups and MNCs. | |||||
| Research Papers 2024 | 22,000+ | 98,000+ | 75,000+ | 65,000+ | ↑ 22% YoY |
| 💡 Indian researchers published 22,000+ peer-reviewed papers in AI/ML (arxiv.org, Google Scholar analysis 2024). IIT, IISc, and IIIT institutions lead. China dominates volume; USA leads citations (Stanford AI Index 2025). | |||||
| AI Patents Filed | 16,000+ | 120,000+ | 85,000+ | 15,000 | ↑ 40% YoY |
| 💡 India filed 16,000+ AI patents in 2024 (WIPO World IP Indicators 2025, cumulative filings accelerating). Increased corporate R&D (TCS, Infosys, Flipkart) and deeptech support driving growth. | |||||
| Government AI Budget | $1.3B | $15B+ | $3.3B | $4.5B | ↑ $1.3B allocated |
| 💡 India's AI policy budget (MeitY, NITI Aayog, DSIR) totals $1.3B for 2025-2026. Budget 2026 allocates ₹40,000Cr for electronics manufacturing (includes AI chips). China's $15B+ reflects massive deeptech bet. | |||||
| AI Adoption Rate | 72% | 58% | 65% | 55% | ↑ Highest globally |
| 💡 72% of Indian enterprises are actively piloting/deploying AI solutions (NASSCOM-McKinsey 2025 study). Enterprise GenAI adoption at 73% (NASSCOM-McKinsey 2025 — enterprise-level metric, distinct from BCG employee-level 92%). Higher than China, USA, EU due to leapfrogging in fintech/agritech. | |||||
| Compute Capacity | Growing/Tier 2 | #2 Global | #1 Global | #4 Global | ↑ Strategic build |
| 💡 India's compute infrastructure is rapidly developing. Budget 2026 20-year tax holiday for data centers attracts global players (Google, Microsoft, Amazon building regional hubs). Jio-Meta partnership expanding edge compute across India. | |||||
There are 1.44 billion people on this subcontinent. Sixty percent of them are under 35. The country that built UPI, Aadhaar, and the world's largest biometric identity system in a single decade is now building sovereign AI — and the velocity is staggering. $67.5 billion committed. 92% GenAI adoption (BCG ‘AI at Work’ 2025) — highest of any major economy. Three of the world's ten most-funded AI labs now have India engineering centers. The question is no longer whether India will matter in AI. The question is how India will shape the global AI landscape going forward.
We are 1.44 billion stories waiting to be told. The youngest major workforce on Earth (median age 28.4, CIA World Factbook). The fastest-growing large economy. The architects of UPI, Aadhaar, and one of the most advanced digital public infrastructure stacks any democracy has built (IMF 2023). And now, we are building sovereign AI — in our languages, for our people, on our terms.
bharath.ai is the chronicle of this revolution. We track the models, the money, the policy, the breakthroughs, the cricket analytics, the cinema predictions, the state-by-state workforce data — everything that makes India's AI story the most exciting story on Earth. Every source linked. Every prediction grounded in publicly verifiable data. All analysis is grounded in publicly verifiable sources.
Our India AI State Map — tracking every state's AI ecosystem from Bangalore to Bhubaneswar — and Regional Language AI Status tracker are the pulse of India's forward momentum. From 22 scheduled languages gaining AI readiness to state-level policy scores, investment pipelines, and talent concentration maps, these sections capture the India Pulse: a real-time portrait of a nation accelerating into the future. This is not retrospective reporting — this is forward-facing intelligence.
We don't just report the future. We believe in it. We believe that when one of the world's most resourceful populations embraces AI technology, the results are transformative — for India and for the world.
Whether you're a founder in Bangalore, a student in Jaipur, a policymaker in Delhi, or a mother in Varanasi whose child just asked their first question to an AI — in Hindi — this publication is for you. This is your story. We're just making sure the world hears it.
Transparency: bharath.ai uses AI analysis to synthesize, rank, and forecast from verified public data. Every prediction and projection is backed by cited sources and auditable methodology. We are an independent AI-powered news and analysis platform. Readers can verify every claim through the source links provided in each article.
bharath.ai is refreshed on a daily to weekly basis. Content is continuously updated through AI-powered analysis pipelines with human oversight.
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