NEW DELHI — More than 90% of India’s early-career technology professionals are now either AI-native or AI-proficient, according to a landmark study by the National Association of Software and Service Companies (Nasscom), positioning the country at the forefront of the global AI talent race. The findings, drawn from a survey of over 12,000 professionals, reveal a dramatic shift in India’s technology workforce, where artificial intelligence has become a baseline competency rather than a specialized skill. However, the report also exposes critical challenges: a disconnect between theoretical knowledge and real-world application, stark regional disparities in access to AI education, and growing pressure on universities and employers to bridge these gaps.
What Happened
Nasscom’s India’s Tech Talent Landscape 2026 report, released this week, found that 91% of early-career tech professionals in India possess either AI-native or AI-proficient skills. The survey defined “AI-native” professionals as those who learned AI as a core component of their formal education—typically through updated engineering or computer science curricula—while “AI-proficient” individuals acquired their skills through upskilling programs, online courses, or on-the-job training.
Of the surveyed cohort, 62% identified as AI-proficient, while 29% were classified as AI-native. Only 9% reported no exposure to AI tools or concepts, a figure that has halved since Nasscom’s 2023 survey. The report attributed this surge to three key factors:
1. Curricular Overhaul: Over 60% of India’s top 100 engineering colleges have integrated AI and machine learning (ML) into their core computer science programs since 2024, according to data from the All India Council for Technical Education (AICTE).
2. Corporate Upskilling: Major IT firms, including Tata Consultancy Services (TCS), Infosys, and Wipro, have trained over 500,000 employees in AI and generative AI tools since 2023, often in partnership with global tech giants like Microsoft, Google, and Nvidia. Infosys, for instance, launched its AI University in 2025, offering certification programs to both employees and external learners.
3. Government Initiatives: The IndiaAI Mission, a $1.2 billion program launched by the Ministry of Electronics and Information Technology (MeitY) in 2025, has accelerated AI adoption through funding for AI Centers of Excellence in universities and the establishment of a national AI compute infrastructure.
The report also highlighted a sharp increase in AI-related job postings. In 2026, over 70% of entry-level IT roles listed AI or ML skills as mandatory or preferred qualifications, up from 45% in 2023. This shift reflects growing demand for AI-driven solutions in sectors such as banking, healthcare, and manufacturing, where Indian IT firms are increasingly competing for high-value contracts.
Why It Matters
India’s emergence as a hub for AI-proficient talent carries significant implications for its economy, global competitiveness, and social equity.
Economic Impact: The country’s IT services sector, which contributes nearly 8% to India’s GDP, is undergoing a structural transformation. Traditionally reliant on cost arbitrage, Indian firms are now positioning themselves as leaders in AI-driven services, including automation, predictive analytics, and generative AI. A 2026 McKinsey report projected the global AI services market to reach $1.8 trillion by 2030, with India poised to capture a substantial share if it can convert its talent pool into commercial outcomes.
Global Competitiveness: India’s AI proficiency rates surpass those of many Western counterparts. A 2025 survey by the World Economic Forum found that only 65% of early-career tech professionals in the U.S. and 58% in the EU reported AI proficiency, compared to India’s 91%. This advantage could attract multinational corporations seeking to offshore AI development, particularly in areas like natural language processing (NLP) and computer vision, where Indian firms have demonstrated expertise.
Social Equity: The report’s findings on regional disparities underscore a growing digital divide. While cities like Bengaluru, Hyderabad, and Pune reported AI proficiency rates exceeding 95%, smaller cities and rural areas lagged at around 70%. This gap is attributed to uneven access to high-speed internet, AI-focused educational resources, and industry-academia collaborations. The IndiaAI Mission’s goal of decentralizing AI infrastructure—such as setting up compute clusters in Tier-2 cities—could mitigate this imbalance, but its success hinges on execution and sustained investment.
Background and Context
India’s rapid AI talent development is the culmination of a decade-long push to modernize its technology workforce. Key milestones include:
– 2018: The National Programme on AI was launched, identifying AI as a strategic priority for India’s digital economy.
– 2020: The New Education Policy (NEP) mandated the integration of AI and coding into school and university curricula, with a focus on experiential learning.
– 2023: Nasscom’s Future Skills initiative set a target of upskilling 2 million tech professionals in AI and cloud computing by 2025, a goal it surpassed by 30%.
– 2025: The IndiaAI Mission allocated $1.2 billion to build AI infrastructure, including a national AI compute platform and 200 AI Centers of Excellence in universities.
Despite these efforts, India’s AI talent pipeline faces structural challenges. A 2025 study by the Indian Institute of Technology (IIT) Delhi found that while 85% of engineering graduates could explain AI concepts, only 30% could deploy a functional AI model. This gap between theory and practice has led to calls for closer collaboration between academia and industry.
Competing Claims and Uncertainty
While Nasscom’s report paints an optimistic picture, industry stakeholders and experts have raised several concerns:
1. Proficiency vs. Job Readiness
Kris Gopalakrishnan, co-founder of Infosys and chair of the IndiaAI advisory council, cautioned that AI proficiency does not equate to job readiness. “Employers are looking for professionals who can solve real-world problems, not just those who understand algorithms,” he said in a statement. “The next step is to ensure that academic programs and corporate training emphasize hands-on projects, internships, and industry-aligned problem sets.”
2. Regional Disparities
The report’s findings on regional gaps have sparked debate about the effectiveness of government initiatives. Critics argue that the IndiaAI Mission’s focus on Tier-2 cities may not be enough to address the digital divide. “Infrastructure alone won’t solve the problem,” said Dr. Ananya Mukherjee, a professor of computer science at Jadavpur University. “We need to invest in faculty training, digital literacy programs, and industry partnerships in rural areas to ensure equitable access.”
3. Overemphasis on AI Skills
Some educators warn that the rush to integrate AI into curricula may come at the expense of foundational skills. “AI is a tool, not a substitute for critical thinking or domain expertise,” said Dr. Ramesh Loganathan, a former vice-chancellor of a private engineering university. “We risk producing a generation of professionals who can build AI models but lack the ability to apply them meaningfully in fields like healthcare or finance.”
4. Data Quality and Survey Limitations
Nasscom’s survey relied on self-reported data from early-career professionals, which may not fully capture the depth of their AI skills. Additionally, the sample was skewed toward urban centers, potentially overestimating national proficiency rates. Independent assessments, such as those conducted by the AICTE, suggest that actual proficiency rates in rural areas may be as low as 50%.
What to Watch Next
Several developments will shape India’s AI talent landscape in the coming years:
1. Implementation of the IndiaAI Mission
The success of the $1.2 billion IndiaAI Mission will depend on its ability to deliver on key promises, including:
– The establishment of AI Centers of Excellence in 200 universities by 2027.
– The rollout of a national AI compute infrastructure, which aims to provide cloud-based AI tools to startups and researchers.
– The expansion of AI-focused scholarships and faculty training programs.
2. Industry-Academia Collaboration
Efforts to bridge the theory-practice gap will intensify. Key initiatives to watch include:
– TCS’s AI Garage: A program launched in 2025 to provide students with hands-on experience in deploying AI solutions for enterprise clients.
– Infosys’s AI University: Plans to expand its certification programs to 500,000 learners by 2028, including partnerships with rural colleges.
– Wipro’s AI Labs: A network of labs in collaboration with universities to co-develop AI curricula and research projects.
3. Regulatory and Policy Shifts
The Indian government is expected to introduce new policies to address emerging challenges, such as:
– AI Ethics and Governance: A draft framework for AI regulation, expected in late 2026, may include guidelines for responsible AI development and deployment.
– Data Localization: Proposals to mandate the storage of sensitive data within India could impact AI research and development, particularly for multinational firms.
– Skilling Incentives: Tax breaks and subsidies for companies that invest in upskilling programs, as part of the government’s broader push to create 10 million tech jobs by 2030.
4. Global Competition
India’s AI talent advantage will face challenges from other emerging markets, particularly China and Southeast Asian nations. China’s New Generation Artificial Intelligence Development Plan, launched in 2017, has already produced a large pool of AI-proficient graduates, while countries like Vietnam and the Philippines are rapidly expanding their tech education programs. To maintain its edge, India will need to focus on:
– Quality over Quantity: Ensuring that AI proficiency translates into high-value skills, such as AI model optimization and ethical AI development.
– Global Certifications: Partnering with international bodies to standardize AI training programs and certifications.
– Startup Ecosystem: Supporting AI startups through funding, mentorship, and access to compute resources, as outlined in the IndiaAI Mission.
Conclusion
Nasscom’s report offers a compelling snapshot of India’s AI talent revolution, one that positions the country as a global leader in a critical 21st-century skill. The near-universal AI proficiency among early-career professionals reflects the success of concerted efforts by government, academia, and industry to modernize India’s tech workforce. Yet, the findings also serve as a reminder that proficiency alone is not enough. The real test lies in converting this talent pool into tangible economic outcomes—whether through high-value IT services, AI-driven innovation, or equitable access to opportunities across regions.
For India to fully capitalize on its AI advantage, stakeholders must address the gaps in practical skills, regional disparities, and industry-academia alignment. The IndiaAI Mission provides a roadmap, but its success will depend on execution, collaboration, and a commitment to inclusive growth. As the global AI race accelerates, India’s ability to nurture, deploy, and retain its AI talent will determine whether it remains a leader or cedes ground to competitors.
Story synopsis gathered from: [Deccan Herald via Google News India Technology](https://news.google.com/rss/articles/CBMi7wFBVV95cUxNX3ZDc0tiMjJmWjRGLWJwcDhNcnpGbl85M2ctRzZXZDM1YnRMVS1MekJwOE92QkpTakdHWm9IMWtwRzIxc0FrTHFhVEVQRm5vQWI4dE5MYUZqTzBncUxTYjdZUkR
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Story synopsis gathered from: Google News India Technology — source.
