India is currently seen as lagging in the global AI race, particularly in the development of AI-enabled robots, where China and the U.S. lead. However, the country is capitalizing on its vast workforce and lower labor costs to provide human data for training robots.
Workers like Tanisha Reddy are being recruited to create first-person videos of everyday tasks, which are essential for teaching robots how to operate in real-world environments. Companies such as Qanat Consulting Services are emerging to facilitate this data collection, primarily serving clients in the U.S. and China.
The market for robotics is projected to grow significantly, with Barclays estimating the humanoid robot market could reach $200 billion in less than a decade, and Morgan Stanley predicting it will exceed $5 trillion by 2050. Despite this growth, the increasing number of competitors has led to a decline in contract prices for data collectors, which have reportedly halved in recent months.
To maintain relevance, Indian firms must evolve from mere data collectors to higher-value data converters. Startups like Neocambrian AI and Humyn Labs are already working on innovative approaches to data collection and processing, aiming to create valuable datasets that can enhance robot dexterity and functionality.
As the market matures, India's role may shift from data collection to developing the operating systems for robots, similar to its historical success in the IT sector