India has a high level of AI expertise!

Undoubtedly, it was difficult to find AI resources even in India five years ago, but the situation has improved significantly. According to a report, which was cited by The Economic Times, India is the top country in terms of AI talent concentration and skill adoption.

Together with the economic impact, the research also provides insight into India's startup ecosystem and state of AI talent:

• By 2024, there will be an increase in the need for more than one million data science and AI specialists. The top five positions, which account for 73% of all AI job vacancies in India, are ML engineer, data engineer, data scientist, data architect, and DevOps engineer.
• A total of 1900? Indian startups with an AI focus are developing solutions in fields including disease detection, deep fakes identification, video analytics, and conversational AI.
• By 2026, the impact of AI-driven disruption in India's main industries could be $500 billion in terms of gross value added.
• Compared to other countries, India has three times as many tech professionals who claim to be skilled in AI. With a 1.6 million digital talent pool, India has become a sought-after location for talent.

According to Shubham Saboo, Head of Developer Relations at Tenstorrent Inc. and author of books on AI and GPT-3, "India's impressive rating in AI skill adoption and talent concentration is a testament to the country's desire to develop its technological capabilities”. He continues by saying that with a large talent pool and a strong startup ecosystem, India has the chance to become a global leader in AI research and development as the demand for data science and AI grows.

Final Thoughts:?New job possibilities are being created in the IT sector as a result of the growing popularity of AI, and there is a significant demand for experts who can develop and deploy AI solutions.

Employees may better comprehend AI's potential and remain on top of trends by taking advantage of skilling and training modules that focus on generative AI models as AI continues to alter the IT and IT industry.