Sarvam Co-founder States India Will Lead AI Adoption and Scaling Over the Next Decade
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Business Standard
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Sarvam Co-founder States India Will Lead AI Adoption and Scaling Over the Next Decade

Sarvam co-founder Prateek Kumar stated that India will become a leader in artificial intelligence (AI) over the next ten years. He emphasized that the financial sector will play a key role in stimulating demand and adoption of this technology.

Speaking at the Global Fintech Fest 2026, Kumar noted that although four years have passed since the launch of ChatGPT, this is the first year for India to create its own AI models. He predicts that India will take leading positions in terms of scale and speed of AI adoption in the coming decade.

Furthermore, Kumar added that the country will not only implement AI in large volumes but will do so at prices accessible to a billion users. He pointed out that India currently possesses its own AI models, has access to GPUs, and has a growing talent pool.

He also reported a significant increase in the number of AI use cases in India. Citing examples of Sarvam's work in building an advanced AI model from scratch, Kumar mentioned that the company processed 350 million minutes of voice AI over the last 12 months. Today, Sarvam serves 400 million requests daily via API and has digitized tens of millions of documents.

Prateek Kumar also highlighted the necessity of building data centers and token factories in India that are not subject to US Patriot Act laws. In his view, this will give companies better control over the AI stack and data.

Sarvam has established itself as a significant developer of cutting-edge AI models from India. Recently, Sarvam attracted investments ranging from $300 to $350 million and achieved unicorn status. Additionally, IT company HCLTech invested approximately $234 million in Sarvam.

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Report indicates that remote monitoring and optimization of intensive care unit operations will be the next areas for AI growth in Indian healthcare
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Report indicates that remote monitoring and optimization of intensive care unit operations will be the next areas for AI growth in Indian healthcare

According to the report, the next significant potential for artificial intelligence (AI) application in India's healthcare system is focused on remote patient monitoring, optimizing the operation of operating rooms and intensive care units, as well as managing chronic diseases post-discharge.

A joint report by Bain & Company and HealthQuad, titled 'AI in Indian Healthcare Delivery,' demonstrates that healthcare providers in India are transitioning AI from experimental testing to practical application in real-world settings.

The study found that medical institutions are implementing AI to reduce administrative burden on doctors, with connected clinical care being a significant promising opportunity, currently limited by the adoption rate of electronic health records (EHRs) at 35%.

Dhruv Suhrani, Head of Healthcare and Life Sciences Practice in India at Bain & Company, noted that 'the next phase of adoption will be determined by the ability of providers to combine value, deployment capability, and trust—not just access to more advanced AI models.'

The report also highlighted that India's healthcare infrastructure is well-prepared for faster scaling of AI compared to previous digital waves. This is attributed to government initiatives, the growing penetration of EHRs, and a thriving startup ecosystem.

Furthermore, it was noted that since 2023, the volume of expert tasks that AI can perform autonomously has doubled every 6–9 months, while the cost of advanced models has decreased by approximately 92% over the same period.

The report emphasized that as hospitals build the necessary database, the gap between early adopters and the rest of the industry will widen rapidly. Additionally, there remain substantial 'gaps' in areas such as intensive care unit optimization and chronic disease management, where AI can provide significant growth potential.

For startups, providers lacking strong internal technological capabilities represent a major opportunity for integrated platforms. Namit Chug, Director at HealthQuad, stated that 'AI could potentially change this equation, becoming not just an efficiency lever, but a multiplier of capabilities.'

Bain & Company is a global consulting firm that partners with leaders to solve complex challenges and achieve sustainable results across various industries. HealthQuad is a leading healthcare investment platform with assets under management exceeding $500 million, specializing in new models and technologies in healthcare.

Microsoft research shows Indian employees are leading the definition of the future of work with AI
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Microsoft research shows Indian employees are leading the definition of the future of work with AI

According to the Microsoft 2026 Work Trend Index, which focuses on the state of artificial intelligence in the workplace, India has become a global leader in workforce transformation.

New research from Microsoft, presented in Bengaluru on Thursday, demonstrates that specialists in Indian offices are moving beyond performing basic AI tasks to managing complex automated workflows. This transformation is changing daily employee activities, shifting them from routine work to high-level supervision.

Nearly a third of Indian specialists surveyed qualify as 'frontier professionals.' These professionals actively develop and control multi-stage systems using AI agents, balancing automation with strong human judgment.

The study covered 20,000 AI users across 10 markets and shows that India possesses one of the world's largest frontier workforces. Instead of letting technology replace them, these professionals are directing it to unlock new opportunities.

In India, 32% of AI users are frontier professionals, double the global average of 16% and the highest among the markets studied. Furthermore, almost 8 out of 10 Indian users claim that AI tools enable them to perform work that was impossible 12 months ago, compared to nearly 6 out of 10 globally; this figure reaches 85% among frontier professionals.

Puneet Chandok, President of Microsoft in India and South Asia, noted: 'One in three Indian AI users works with agents on multi-stage, real-world tasks. Globally, this is one in six. This is not lagging behind; this is leadership.'

This represents a huge leap from 2025, when business leaders merely expressed intentions to create human and agent teams on a large scale. Now, this aspiration has materialized, giving rise to new types of high-value work.

Despite the rapid adoption of highly automated systems, the results show that Indian workers refuse to delegate final responsibility. The study emphasizes that as automation becomes more complex, human judgment becomes more valuable, not less.

Indian AI users lead the world in prioritizing quality control of automated outputs. Nearly two-thirds consider evaluating AI-generated work a critical skill, compared to half globally. Moreover, 59% of Indian specialists place high importance on critical thinking, significantly higher than the global average of 46%.

Crucially, almost 9 out of 10 respondents in India state that they retain full responsibility for thinking, viewing system-generated material only as a starting point.

More than 4 out of 10 Indian workers feel that their company leadership has a clear and unified plan for using AI, nearly double the global average.

Managers are actively involved in AI adoption: both frontline managers (91%) and non-frontline managers (81%) use this technology. Frontline managers redesign team workflows to incorporate AI agents and automation. Meanwhile, non-frontline managers mainly adhere to traditional management methods and adopt/support AI, but with less intensity than frontline managers.

All of this is supported by a corporate culture that encourages rethinking. One in four Indian organizations rewards employees for rethinking workflows without immediate commercial returns, compared to only one in eight globally.

Scaling in large, complex operations is the ultimate test of AI implementation. In India, major IT companies are demonstrating how to transition from small-scale pilot projects to full enterprise transformation. In less than six months, Infosys, TCS, Wipro, and LTIMindtree jointly licensed over 4 lakh seats of Microsoft 365 Copilot, a generative assistant integrated into daily work applications.

Infosys is expanding its Copilot adoption to over 1 lakh employees, achieving a monthly active usage rate of 91% in delivery, engineering, and corporate departments. This figure reflects the proportion of licensed users who regularly interact with the tool, proving that it has become an indispensable work tool.

Speaking at an event in Bengaluru, Balakrishna D. R., Vice President of Execution and Head of Global AI Services and Industry Verticals at Infosys, noted: 'Building a frontier enterprise requires more than just technology. Organizations that achieve sustainable value from AI are those that combine leadership alignment, workforce readiness, management, and intelligence embedded in all business processes.'

AI deployments are bringing measurable productivity gains in Indian enterprises. At TCS, nearly 9 out of 10 licensed employees use this technology daily. TCS reports a productivity increase of 20–25% in research and content creation, as well as a reduction in process cycle time by 25–35%, which is the total time spent completing a business process.

Monthly active usage at Wipro exceeds 95%, saving an average of 250,000 full equivalent days per quarter, where each day represents one employee's workday. The company has also democratized agent creation, allowing employees to build over 29,000 custom user agents, alongside 60 enterprise-level solutions. Wipro and Persistent Systems have launched large-scale training programs to ensure all their personnel are fully prepared for AI adoption.

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