Women in AI Redefining India’s Digital Future in 2026 and Beyond
According to the HAI AI Index report, Indian women are highly skilled in AI (about 1.9x of the global skills). However, only 14% of the total group holds a premium corporate position in India’s tech sector. Women in AI in India create a historic technological change that brings massive transformation to several industries.
Women leading data and AI in India today are empowering top tech firms, such as Wipro, Infosys, Accenture, and many more. When I'm talking about top tech firms, it does not mean they are only in IT. But they are in R&D, Data Analytics, Artificial Intelligence, Machine learning, Blockchain, Robotics, and many more. So Indian women in artificial intelligence are becoming global legends.
Indeed, women in India’s rapidly evolving AI field are bringing transformations for many. According to reports, India produces close to 43% of the world's female STEM graduates, with only 29% of candidates getting into entry-level tech roles and just 14% succeed to get into C-suite seats. Although a few women make careers in AI, their success stories inspire many. This blog will reflect on the best 9 successful Indian women with breakthroughs in establishing, scaling, and deploying AI, breaking stereotypes.
The Story Behind Having Women in AI Leadership
With the evolution of AI, women in leadership positions have become significant across diverse industries. Women in AI justify the essence of AI capability, governance, and leadership.
The technology sector has wider gender gaps. Science, Technology, and Engineering have gender issues with primarily men, which is critical to address. The only way to remove this gender barrier in AI is to encourage women to apply for a career in the technology sector.
The World Economic Forum's latest reading has the overall gender gap 68.8% closed. This corporate gender gap immensely affects women's leadership in AI. In AI specifically, women hold a quarter of unique roles with a smaller share of leadership. A Nasscom–BCG analysis found a 64% gender disparity in AI leadership in India compared with the global picture.
Top 9 Indian Women in AI Breaking the Stereotypes Around AI
Here are the top Indian women in artificial intelligence, or better to say, the top Indian women leaders in AI, to address.
Setting the national direction toward AI
1. Debjani Ghosh — AI Governance and Policy
Debjani Ghosh, a Distinguished Fellow at NITI Aayog and Chief Architect of the NITI Frontier Tech Hub, is helping shape how the country prepares for economic and societal development with AI.
As the first woman to lead NASSCOM (2018–2024) and with 28+ years of leadership experience, Debjani empowers India’s AI space.
She's been a consistent voice for human-centric AI at forums like the India-AI Impact Summit. She has set an example for all the Indian women in AI leadership.
Pushing the research frontier
2. Anima Anandkumar — Lifting AI for Social Good
An IIT Madras graduate from Mysore, Anima Anandkumar is one of the most influential AI researchers.
As the Bren Professor at Caltech (and previously Senior Director of AI Research at NVIDIA), she invented “neural operators” to train the first AI-based weather model. This AI model applies weather models, such as FourCastNet, that are now used in India to forecast rainfalls and other weather conditions.
In 2026, she became a member of the UN Secretary-General's Scientific Advisory Board, a reminder of how far Indian AI talent reaches.
3. Kalika Bali — Redefining AI for Linguistic Works
A Senior Principal Researcher at Microsoft Research India and a 2023 TIME100 AI honoree, Kalika Bali has spent two decades on a deceptively simple idea: that language should never be a barrier to technology.
Her real-time experience in AI, NLP, speech, and language technology has improved human-machine interactions.
In addition, her contributions toward multilingual and multicultural AI are extensive, paving the way for AI leadership.
Building the science (Responsible AI)
4. Sunita Sarawagi — ML Research
A professor at IIT Bombay and a leading figure in Indian machine-learning research, Sunita Sarawagi has done foundational work on information extraction, sequence models and deep learning.
With a string of best-paper awards at AI’s top venues and the Infosys Prize to her name, she has been empowering many AI teams.
Indeed, the generations of India's AI researchers have come through her orbit.
5. Sanghamitra Bandyopadhyay — AI for bioinformatics & medicine
A Padma Shri awardee and a distinguished scientist at the Indian Statistical Institute, Sanghamitra has also served as Director.
Sanghamitra Bandyopadhyay applies ML algorithms to bioinformatics and medicine to accomplish crucial tasks, such as pattern recognition for disease research.
Her regular interests in AI, ML, soft and evolutionary computation, data mining, and pattern recognition have helped many fields accelerate their success.
6. Richa Singh — Reliable AI & biometrics
A professor at IIT Jodhpur and an IAPR Fellow, Richa Singh works on pattern recognition, machine learning, biometrics and the fairness and robustness of AI systems.
As biometric AI spreads across India, her research on making these systems accurate and unbiased is exactly the kind of work that makes AI models trustworthy.
Turning AI into product-grade systems
7. Geetha Manjunath — AI as a Healthtech Leader
Geetha Manjunath left a research-lab career to build NIRAMAI Health Analytix after losing close family members to late-stage breast cancer.
In 2026, she is serving as the CEO and CTO of Nirmai Health Analytix. With 30+ years of experience in IT innovation, she deploys thermalytix technology with AI and thermal imaging for radiation-free, affordable breast cancer screening for women of all ages.
Now, FDA-cleared and used across hundreds of hospitals.
8. Ashwini Asokan — Computer-vision AI founder
One of India's most recognized AI entrepreneurs, Ashwini Asokan, co-founded Mad Street Den with neuroscientist Anand Chandrasekaran.
Their platform, Vue.ai, brought computer vision to retail and has grown into an enterprise AI orchestration platform across Fortune 500 companies. It’s a deep-tech AI product company in Chennai, redefining computing visions in the age of AI.
Vue.ai provides one universal platform to secure data, automate workflows, visualize real-time data, and predict future trends.
Scaling AI across the enterprise
9. Ipsita Dasgupta — Enterprise AI leadership
As Senior Vice President & MD of HP India and Chairperson of the CII–HP Centre for AI, Ipsita Dasgupta sits where AI meets the real economy. Her visionary thoughts have helped many enterprises excel in the AI age.
Her work has helped take foundational AI training to thousands of medium and small-scale enterprises across dozens of Indian cities.
She has empowered many small businesses with successful AI adoption that powers nearly 40% of India's economic growth.
Conclusion
Indeed, women in AI are not just coming out of their zone but are creating a milestone, inspiring many women who aspire to work in the technology field.
But still, there is a tiny percentage of women in artificial intelligence leadership. Facebook's diversity report says that 22% of technical departments are women, and 15% of their work is in AI research. Google's diversity report says only 10% of women work with machine intelligence.
Thus, encouraging women to learn new age technology like AI and ML or any other technology (GenAI and Agentic models), so women can lead the future of AI. Women with such career visions can opt for a Generative AI & Agentic AI Master Program.
FAQs:
Who are the top women in AI leadership?
India’s AI progress states significant success stories of many women who are behind the AI adoption, AI scalability, and deployments. Some famous women are –
- Debjani Ghosh
- Kalika Bali
- Sunita Sarawagi
- Geetha Manjunath
- Ashwini Asokan
- Ipsita Dasgupta
Who is the first female AI teacher in India?
Iris is India’s first female AI teacher built by NITI Aayog’s Atal Tinkering Lab. It was developed to address learning queries where Iris interacts with learners through voice assistance features in multiple languages.
What percentage of AI professionals are women?
As of 2026 reports, women in India hold around 29% of entry-level positions and 14% of C-suite roles. This denotes a smaller portion of women in leadership in AI.
Does gender diversity in AI teams actually matter?
Yes. Gender diversity in AI teams matters a lot as AI models generate responses following the creator’s queries or prompts. Having diversified groups in AI teams can help AI models reduce hallucinations and bias.
How can a woman start a career in AI in India?
There is no specialised learning track for women in AI. The female learners can follow the proven AI learning paths, starting from basic Python to LLMs and model deployments.
