3.7 C
New York

NITI Aayog: Accelerated AI Adoption Can Drive $600 Billion Economic Boost by 2035

Published:

New Delhi: India stands on the cusp of an AI-driven transformation that could deliver an additional $500–600 billion to its GDP by 2035 — well above what is already projected under current growth trajectories — according to a newly released NITI Aayog report titled “AI for Viksit Bharat: The Opportunity for Accelerated Economic Growth.”

The report lays out a roadmap for how accelerated adoption of Artificial Intelligence across sectors, combined with stronger research & development, can help bridge the gap between India’s projected GDP of $6.6 trillion by 2035 (assuming current growth) and a more ambitious target of $8.3 trillion — in line with the “Viksit Bharat 2047” vision. The Financial Express+2The

Key Findings & Highlights

Sectoral Gains:

The sectors expected to benefit the most are financial services and manufacturing. By 2035, up to 20–25% of the output in these sectors could be attributed to AI-driven productivity, efficiency, and innovation.

In financial services, AI-enabled advances — in fraud detection, automated compliance, risk management, and data-driven lending — could unlock $50–55 billion in incremental gains.

In manufacturing, enhancements like predictive maintenance, smart factories, real-time quality control are projected to drive an additional $85–100 billion above current trends.

Global Positioning:

India could potentially capture 10–15% of global AI value, leveraging its large STEM workforce, expanding R&D ecosystem, and improving digital infrastructure.

Innovation & R&D:

Generative AI, new AI-led business models, and frontier technologies like drug discovery, software-defined vehicles, advanced computing are identified as critical levers for unlocking further economic value.

Growth Trajectory:

To reach the Viksit Bharat goal of around 8% annual growth, India needs to raise productivity and innovation significantly. The report suggests that AI adoption and R&D transformation can account for nearly half of the growth uplift needed to move from the baseline trajectory ($6.6 trillion) to the aspirational $8.3 trillion by 2035.

Job & Skills Implications:

While AI will create higher-value roles, it is also expected to displace jobs in routine, clerical, and low-skill tasks. The report underscores the urgency of upskilling, reskilling, and building inclusive AI ecosystems so benefits are widely shared.

Regulatory & Ethical Frameworks:

To harness AI’s potential safely, the report calls for strong, adaptive regulation — especially around privacy, data governance, fairness, and accountability.

Infrastructure & Investment Needs:

Improvements needed include better AI infrastructure (compute, data platforms), higher investment in R&D, and expanding digital access, especially in smaller towns and rural areas.

Stakeholder Collaboration:

The report emphasizes collaboration between government, industry, academia, and civil society to drive AI adoption responsibly, align incentives, and ensure skill development programs reach all layers of society.

Related articles

spot_img

Recent articles

spot_img