Tata Motors Passenger Vehicles (TMPV) has significantly expanded the use of artificial intelligence (AI) across its business during FY26, making AI a core pillar of its long-term growth strategy. According to the company’s annual report, AI is now integrated into product development, manufacturing, quality control, customer service, and workforce management to improve efficiency and enhance customer experience.
AI Becomes Central to Tata Motors’ Operations
The company is strengthening its capabilities in:
- Software-defined vehicles (SDVs)
- Connected vehicle technologies
- Advanced electronics
- Digitally enabled manufacturing
- AI-powered business analytics
During FY26, Tata Motors deployed an in-house network of AI agents that analysed more than 1.6 billion customer data points collected from:
- Social media platforms
- Online discussions
- Videos
- Customer conversations
The system helps the company:
- Track customer sentiment
- Identify emerging market trends
- Benchmark competitors
- Support product planning
- Improve business decision-making
Managing Director & CEO Shailesh Chandra stated that AI adoption expanded significantly during FY26, contributing to improvements in product quality, manufacturing efficiency, and workplace safety.
Accelerating Software-Defined Vehicles
Tata Motors is also increasing investments in Software-Defined Vehicles (SDVs).
The company said its upcoming t.idal software architecture will serve as the digital backbone for future passenger vehicles by enabling:
- Connected vehicle features
- Over-the-Air (OTA) software updates
- Continuous feature enhancements
- Improved digital user experiences
NVIDIA Partnership Strengthens AI Capabilities
Tata Motors continues to collaborate with NVIDIA to develop:
- AI-powered vehicle technologies
- Advanced Driver Assistance Systems (ADAS)
- Connected mobility solutions
The partnership also extends into manufacturing.
Using NVIDIA Omniverse, Tata Motors and Jaguar Land Rover have developed digital twins of manufacturing facilities, allowing engineers to simulate production processes and vehicle development.
One major productivity improvement highlighted in the report:
| Metric | Earlier | Now |
|---|---|---|
| Aerodynamic simulations per day | ~50 | ~1,500 |
The increased simulation capability is expected to significantly reduce product development timelines.
AI Improving Manufacturing and Customer Service
Artificial intelligence is also being deployed across manufacturing operations through:
- AI-powered vision inspection systems
- Condition-based equipment monitoring
- Digital quality-control platforms
These systems help detect defects earlier and improve production consistency.
On the customer service side, AI is supporting:
- Spare parts demand forecasting
- Service advisory solutions
- Vehicle damage assessment
- Dealer service quality monitoring
According to the company, these initiatives are intended to:
- Reduce repair turnaround time
- Improve vehicle uptime
- Enhance customer satisfaction
R&D Investment Continues
Tata Motors invested ₹2,836 crore in research and development during FY26.
The company’s primary R&D focus areas include:
- Artificial Intelligence
- Software-defined vehicles
- Advanced electronics
- Connected mobility
- Next-generation automotive technologies
Tata Motors Share Price Performance
As of 2:23 PM on June 22, 2026:
| Particular | Value |
|---|---|
| Share Price | ₹363.20 |
| Day Change | +1.03% |
| Opening Price | ₹362.00 |
| Intraday High | ₹370.50 |
| Market Capitalisation | ₹1,33,755.07 crore |
Performance over the past month:
- Tata Motors: -0.04%
- Nifty 50: +1.70%
Key Highlights
- AI analysed over 1.6 billion customer data points during FY26.
- Development of Software-Defined Vehicles continues through the new t.idal architecture.
- Partnership with NVIDIA is accelerating AI-enabled engineering and manufacturing.
- Aerodynamic simulations increased from 50 to 1,500 per day.
- FY26 R&D expenditure reached ₹2,836 crore.
- AI is now integrated across manufacturing, quality control, customer service, safety, and product development.
Conclusion
Tata Motors is embedding artificial intelligence throughout its value chain, from designing software-defined vehicles to improving manufacturing quality and enhancing customer service. Supported by substantial R&D investment and strategic collaborations such as NVIDIA, the company is positioning AI as a key driver of future innovation, operational efficiency, and connected mobility solutions.
Disclaimer:
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