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India Produces 16% Of Global AI Talent: Report

The report by Bain & Company in collaboration with Microsoft and IAMAI, has shed light on the India’s share in global AI talent workforce. According to the report, India produces 16 per cent of global AI talent despite constituting a small share of the global AI market

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A new report says that India is the third largest contributor to global Artificial Intelligence (AI) talent. The country is responsible for 16% of global AI talent.

The report by Bain & Company in collaboration with Microsoft and IAMAI, has shed light on the India’s share in global AI talent workforce. According to the report, India produces 16 per cent of global AI talent despite constituting a small share of the global AI market. 

The report surmises that this big share of AI talent is due to the technology workforce of the country growing up in an internet/cloud-first world. “Its ability to assemble solutions from combinations of legacy, cloud, and SaaS components is world-class”, reported the study.

The study also said that the Micro, small and medium enterprises (MSMEs) in India are punching above their weight by leveraging their workforce and specialist contractors to incorporate AI/ML modules into their e-commerce ventures and digital business processes. The report also observed that India has seen a huge spike in AI talent demand from large MNCs looking to transform their operations through AI/ML after the pandemic.

Credit: Bain & Company

The tussle for talent has become apparent in India even as the country also sees a massive swelling in the startup space. 

“The talent equation in India in terms of quantity will only get better, but a clear distinction will emerge between the data engineers, data scientists, and product managers. Cloud platforms and providers with better quality data scientists and product managers will be better placed to lead in the market”, stated the report.

The Bain & Company report also said that providers in India are “either ahead of or on par with their global counterparts” in terms of AI capability on scale implementations.