Artificial intelligence is being put to work clearing urban waste and speeding up laboratory research, experts said at the World Economic Forum's Summer Davos meeting in Dalian, China. India's young, skilled workforce could give the country a decisive role in the next phase of global AI expansion.
AI tackles urban waste
Vivek Vyas, co-founder of Canada-based Intuitive AI, said the company has built an AI-powered waste management system designed for high-traffic public spaces like airports, railway stations and shopping malls. The product identifies and sorts waste to make disposal more environmentally responsible.
Vyas described India's economic momentum and its talent base as a clear advantage. "India has a tremendous economy and is already performing well. The country's young, skilled and intelligent workforce is its biggest strength," he said.
Accelerating scientific discovery
Dr. Hermann Tribukait, co-founder and CEO of Atinary Technologies Inc., said machine learning models are now compressing the time it takes to move from hypothesis to result. He emphasized that AI for Science & Research is now a practical tool for speeding up discovery. "AI is transforming scientific research by accelerating R&D and helping scientists discover solutions faster," Tribukait said.
Faster scientific progress can directly improve outcomes in medicine, clean energy and other fields that shape quality of life, he added. Tribukait also stressed that the direction of AI development should stay anchored to public benefit. "Science and AI should be developed with the goal of benefiting humanity," he said.
Tribukait praised India's growing innovation ecosystem, pointing to a strong pool of talented engineers, scientists and young innovators. With the right investment in AI-driven research, he said, the country could make significant contributions to global scientific progress.
Why this matters for Science and Research professionals
For researchers and lab managers, AI is moving from a niche tool to a standard part of the experimental workflow. Companies building AI-driven R&D platforms need scientists who can design experiments and interpret model outputs - not just software engineers. India's expanding investment in this area signals more opportunities for cross-disciplinary teams and careers built at the intersection of domain science and machine learning.
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