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Generative AI to Power IT Spending Growth in India, but Impact Delayed Until 2025

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Generative AI is expected to have a transformative impact on Indian industries, but its impact on IT spending will not be seen until 2025, according to Gartner. The research firm attributes this to a lack of awareness and understanding of generative AI, limited maturity of the technology, and a skills shortage.

Key Points

  • Generative AI is still in its early stages of development and is not yet mature enough for enterprise use cases.
  • Indian organizations are still in the early stages of adopting AI and are focused on more mature technologies such as cloud computing and data analytics.
  • Gartner advises Indian organizations to start experimenting with generative AI now to develop the skills and expertise they will need.

Impact on IT Spending

Gartner expects generative AI to have a significant impact on IT spending in India in the long term. However, the firm believes that the impact will not be seen until 2025. This is due to the factors mentioned above, as well as the need for organizations to develop the skills and expertise to use generative AI effectively.

Potential Benefits of Generative AI

Despite the challenges, Gartner believes that generative AI has the potential to revolutionize a number of industries in India. Some of the potential benefits of generative AI include:

  • Increased productivity and efficiency
  • Improved customer experience
  • Reduced costs

Recommendations for Indian Organizations

Gartner advises Indian organizations to take the following steps to prepare for the impact of generative AI:

  • Start experimenting with generative AI now to develop the skills and expertise they will need.
  • Invest in training and development for employees on generative AI.
  • Monitor the development of generative AI technologies and identify potential use cases for their organizations.

Conclusion

Generative AI is a powerful technology with the potential to transform the Indian IT landscape. However, Indian organizations will need to make investments in training, development, and experimentation to take advantage of the technology.


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