India's Ambitious Leap: Striving to Become an AI Superpower by 2030 - CNA Insider

Sarah J6 min read

India is rapidly embracing artificial intelligence (AI), aiming to become a global AI powerhouse by 2030. Despite currently playing catch-up to frontrunners like the US and China in AI investments and compute infrastructure, India is not merely joining the race; it seeks to leverage AI to address its unique national challenges at scale, with a core focus on inclusivity and reducing disparity.

CNA Insider's take-on India's AI standing and ambition

Understanding Artificial Intelligence At its heart, AI is designed to mimic human intelligence, learning and performing cognitive tasks. Unlike traditional programming where humans define rules, AI systems learn rules from vast datasets, identifying patterns in images, text, or speech to make predictions or decisions. The promise of AI is its ability to work with humans almost as a peer, transforming societies, revolutionising industries, and reshaping economies.

A National Vision: AI for India 2030 India launched the "AI for India 2030" initiative in January 2023, followed by the government's approval of US$1.25 billion in investments for AI projects in March 2024 as part of the "India AI Mission". This mission, spearheaded by veteran civil servant Abishek Singh, aims to drive nationwide development and adoption of AI. A central tenet is to enable AI "for Indians by Indians and of Indians," ensuring it benefits all sectors of society and establishes India as a global AI leader. Estimates suggest AI could add half a trillion dollars to India's economy by 2035.

India's Key Advantages in the AI Race India possesses several strengths that position it favourably in the AI landscape:

Remarkable Digital Adoption: With a population of 1.4 billion, India has achieved impressive digital penetration. The India Stack, a full-scale public digital infrastructure, provides a suite of open and accessible digital tools. Examples include Aadhaar, a digital identity application with 99% population enrolment, and UPI, a unified instant payment system used by 500 million people. India plans to integrate AI applications into this stack, exemplified by Project Bhashini, which supports over 300 AI models for all 22 Indian languages, enabling voice-enabled services.
Vast Talent Pool: India boasts the second-largest number of AI specialists globally, after the US, according to Boston Consulting Group. A significant 20% of AI and machine learning engineers worldwide are from India, showcasing a very large talent pool.

Current Standing and Challenges India ranks fourth in Stanford's AI vibrancy index, a measure of a country's AI activity, development, and impact. However, it faces notable challenges:

Investment Gap: Private sector investment in AI in India between 2013 and 2024 totalled approximately US$11 billion, significantly less than America's US$471 billion and China's US$119 billion. India's R&D intensity is also low, at just 0.65% of GDP, compared to 3.5% in the US and over 2.6% in China.
Lack of Foundational AI Models: India currently relies on foundational models (large general-purpose machine learning models like GPT-4) built by other nations. Developing its own foundational models is crucial for strategic applications, including defence, to ensure data source transparency and avoid geopolitical risks. However, building these models is expensive, with GPT-4 estimated to have cost at least US$100 million.
Cost and Scale: While some Indian companies like Strider Robotics are developing cutting-edge techniques for training robots, they acknowledge the need to catch up with global leaders. Agritech firms, despite raising funds, require more capital to expand their technologies nationwide.
Linguistic Diversity: India's 22 official languages pose a challenge for training machine learning models at scale.

Addressing the Roadblocks: The Path Forward India is actively working to overcome these challenges. The government allocated US$520 million in its recent budget for AI-related projects and has called for proposals to build India's own foundational models, receiving 67 proposals within two weeks with a plan to build six large-scale models by year-end. India draws encouragement from China's DeepSeek, which demonstrated that high-performance large language models can be built with significantly fewer resources, offering a model for India's cost-conscious approach. Experts are confident that India will be among the top-tier in AI technology within two to three years.

Transformative Applications of AI Across Sectors AI is already making a tangible impact in India:

Agriculture: With half of India's population dependent on agriculture, AI platforms like Fazl help farmers monitor soil, plant, and microclimate conditions, providing predictions and analysis to boost yields by 20-30%. AI agents can provide farmers with information on crop diseases, patterns, prices, and advisories, improving efficiency and income.
Public Safety and Governance: AI is used to detect tuberculosis from X-ray images in rural areas lacking radiologists. At mass gatherings like the Mahakumbh Mela, machine learning monitors human traffic to prevent stampedes, and AI-assisted language translation apps help pilgrims find lost loved ones. Drones with AI-enabled autonomous navigation are being developed for emergency response, transporting blood samples or other cargo to remote locations.
Industry and Hazardous Work: Robots are being developed for dangerous and difficult tasks in agriculture, mining, and construction, where working conditions are often poor. Vision AI is preferred over laser-based technologies like LiDAR for outdoor environments with dust, snow, or rain, making robots more adaptable.
Everyday Life: An AI-powered app allowed Pankuri Gupta to transform into her AI avatar within seconds, showcasing the technology's application in influencer marketing and learning platforms.

Concerns and Mitigation: Jobs and Misinformation While the potential of AI is immense, it also raises significant concerns:

Job Displacement: Repetitive digital jobs, including routine coding, customer support, retail, and finance, are highly vulnerable to automation. Bangalore, India's Silicon Valley, saw over 50,000 IT job losses in 2024 due to companies shifting to AI operations. A survey indicated that six in ten Indian workers are worried about potential job loss. The World Economic Forum estimates AI could replace 92 million workers globally by 2030.
Upskilling and Reskilling: To counter job displacement, there is a strong emphasis on upskilling and reskilling the workforce. AI curriculum has been introduced at school (Class 10th and 12th) and engineering levels. Being "AI native" is increasingly valuable, and India faces a potential shortfall of 1 million AI professionals by 2027.
Misinformation and Deepfakes: AI poses a severe risk of misinformation, especially through deepfake videos and audio, which can be used to radicalise people, influence voter behaviour, or commit cybercrimes. The India AI strategy aims to address this through regulation focusing on "user harm" and building guardrails to control the technology.

The Road Ahead India envisions AI as a powerful tool, not a threat, capable of doing what humans want to achieve more efficiently. With its strong talent pool, ambitious government initiatives, and a unique approach to inclusive AI development, India is well-poised to take its rightful place among the top AI-developing countries in the coming years. The journey involves overcoming challenges like cost, linguistic diversity, and large-scale skilling, but the long-term outlook remains optimistic.

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Hyderabad-based Skyroot Aerospace successfully launched Vikram-1, India’s first privately developed orbital launch vehicle, from the Satish Dhawan Space Centre in Sriharikota on July 18, 2026. The rocket lifted off at 12:05:30 p.m. Indian Standard Time as part of Mission Aagaman, meaning “arrival.”Around 15 minutes after launch, Vikram-1 successfully deployed payloads into a low Earth orbit at an altitude of approximately 450 kilometres. ISRO confirmed that two satellites—Skyroot’s SCOPE and a satellite from Grahaa Space—were injected into orbit. Other payloads remained attached to the upper stage to conduct in-orbit experiments.India has operated orbital launch vehicles through the Indian Space Research Organisation since the successful launch of the Rohini satellite aboard SLV-3 in 1980. The significance of Mission Aagaman is that Vikram-1 was developed and launched by a private Indian company, although ISRO and the Indian National Space Promotion and Authorisation Centre provided facilities, technical support, safety oversight and regulatory clearances.The Vikram-1 RocketVikram-1 is a small-satellite launch vehicle standing approximately 22 metres tall. It is designed to carry payloads of up to 350 kilograms into low Earth orbit.The four-stage vehicle consists of three solid-fuel stages and a liquid-fuel orbital adjustment module. Its upper stage is powered by a 3D-printed liquid engine and is designed to support precise orbital deployment. The rocket also incorporates carbon-composite structures, avionics and thermal-protection technologies developed by Skyroot.The Vikram launch-vehicle series is named after Vikram Sarabhai, the scientist widely regarded as the father of India’s space programme.Skyroot is positioning Vikram-1 as a dedicated and rideshare launcher for small satellites requiring customised orbital deployment. The company argues that such missions can provide customers with greater control over launch timing and orbital destination than travelling as secondary payloads on larger rockets.Payloads and ExperimentsThe mission carried multiple customer payloads and in-orbit experiments from Indian and international organisations.ISRO has officially confirmed that two satellites, SCOPE and Grahaa, were successfully placed into low Earth orbit. The remaining payloads were carried on the upper stage for in-orbit experiments.Before launch, the announced mission manifest included:Skyroot’s SCOPE satelliteGrahaa Space’s SOLARAS S3 satelliteA technology demonstration from German space company DCUBEDEmbrace, a robotic arm experiment developed by Cosmoserve Space for orbital-debris captureThe announced manifest also included symbolic payloads: a floral-shaped artwork called Cosmic Bloom and a miniature 18-karat gold rocket honouring Indian scientific figures C.V. Raman, Vikram Sarabhai and A.P.J. Abdul Kalam. These items were listed before launch, but official post-launch statements have not separately confirmed the operational status of every individual experiment.Mission Aagaman was intended to test Vikram-1’s propulsion, avionics, telemetry, stage separation, guidance, navigation and control systems under actual flight conditions. Skyroot described the flight as the first of a planned series of development missions ahead of routine commercial operations.From Vikram-S to Vikram-1Skyroot Aerospace was founded in 2018 by former ISRO engineers Pawan Kumar Chandana and Naga Bharath Daka.The company completed its first spaceflight in November 2022 with Vikram-S, a suborbital technology-demonstration rocket launched under Mission Prarambh. That flight made Skyroot the first private Indian company to launch a rocket into space from Indian soil, although Vikram-S did not enter orbit.Vikram-1 represents a significantly more demanding technical achievement. Reaching orbit requires a rocket not only to climb above Earth’s atmosphere but also to accelerate its payload to the horizontal velocity needed to remain in orbit. The vehicle must complete a carefully timed sequence of propulsion, stage-separation and navigation operations before deploying its payloads.India opened more of its space sector to private participation in 2020 and subsequently established a framework through IN-SPACe for private companies to access ISRO facilities and technical expertise. For Vikram-1, ISRO supported solid-motor casting and testing, liquid-engine testing, vehicle integration, trajectory analysis and launch-pad operations.Reaction and Next StepsPrime Minister Narendra Modi called the successful launch a defining moment in India’s space journey. He said growing private-sector participation was opening new frontiers and accelerating innovation, adding that the achievement would encourage young people to “dream bigger and innovate fearlessly.”Skyroot said Mission Aagaman was a test flight and that it expects to conduct additional development flights before beginning routine commercial launches. The company ultimately aims to provide frequent, dedicated launch services for small satellites.The achievement does not replace India’s longstanding government space-launch capability. Instead, it expands the country’s space ecosystem by demonstrating that an Indian private company can independently develop an orbital-class launch vehicle and successfully place satellites into orbit with institutional support from ISRO and IN-SPACe.Sources: Indian Space Research Organisation, Prime Minister’s Office of India, Reuters, Skyroot Aerospace and Space.com.Image courtesy: Skyroot AerospaceSEINET is an execution focused network for operators building partnerships and growth in EU-India-UK corridor in four key clusters - Space, Deep Tech, Defense and Energy. Apply to sign up www.startupeuropeindia.net

Sat, Jul 18, 2026