Technology: At WEF, Davos, Vaishnav asserts India in top tier of AI economies
Virendra Pandit
New Delhi: Union Minister Ashwini Vaishnaw on Wednesday asserted that India remains in the top bracket in Artificial Intelligence (AI) economies and not in a “second category,” as some claimed.
Pushing back against comments by International Monetary Fund (IMF) Managing Director Kristalina Georgieva, he rejected her statement that India belongs to a “second category” of AI economies and asserted that the country is firmly among the global leaders, the media reported on Wednesday.
Participating in a panel discussion at the World Economic Forum (WEF) Annual Meeting in Davos, Switzerland, Vaishnaw questioned the basis on which the IMF chief drew her assessment.
“I don’t know what the IMF criteria have been, but Stanford University places India third globally in AI penetration, AI preparedness and AI talent,” the minister said, adding, “I don’t think your classification of India in the second tier is correct. India is clearly in the first.”
Five-layer Roadmap
Vaishnaw, technocrat-turned-bureaucrat-turned-politician, said India’s AI ambitions rest on progress across five foundational layers: applications, models, chips, infrastructure, and energy. He argued that coordinated movement across all of them strengthens the country’s position in the global technology landscape.
India is pursuing an independent AI strategy rather than aligning itself entirely with either the US or China, he emphasized.
India’s comparative advantage lies in large-scale deployment and practical use of AI, rather than an exclusive focus on building the largest models, the Minister for Electronics and Information Technology said.
“At the application layer, India is likely to emerge as the world’s biggest supplier of AI-driven services,” Vaishnaw said, adding that meaningful returns are generated through enterprise adoption and productivity gains.
Efficiency v/s Size
Vaishnav also challenged the notion that leadership in AI is defined by the size of models alone. He said that most real-world applications do not require extremely large systems.
“Nearly 95 percent of AI use cases can be addressed using models in the 20–50 billion parameter range,” Vaishnaw said, pointing out that India already has such models deployed across sectors.
He cautioned against linking geopolitical influence to ownership of massive AI systems. “The economics of what I call the Fifth Industrial Revolution (IR-5.0) will be driven by return on investment, delivering the highest value at the lowest cost,” he said.
Drawing parallels with India’s digital public infrastructure, Vaishnaw said the government is working to ensure AI adoption spreads across the economy. One of the biggest challenges, he said, is access to computing power.
To address this, India has adopted a public–private partnership (PPP) approach, empanelling around 38,000 graphics processing units (GPUs) as a shared national compute facility. The subsidised platform provides affordable access to students, researchers, startups and innovators at roughly one-third of prevailing global costs.
Vaishnaw outlined four pillars of India’s AI strategy: a common compute facility, a free set of AI models suited to most practical needs, large-scale skilling initiatives aimed at training 10 million people, and enabling India’s IT sector to transition towards AI-led productivity for domestic and global enterprises.
Blending Law with Technology
On governance, Vaishnaw stressed that AI regulation cannot rely on legal frameworks alone and must be backed by technical safeguards.
“Technological tools are essential to address risks such as bias and deepfakes,” he said, adding that detection systems must be robust enough to withstand judicial scrutiny. He noted that India is developing capabilities to identify deepfakes, mitigate bias and ensure proper ‘unlearning’ of models before they are deployed at scale.
