Nasscom Forecasts a Global Surge in Gen AI Investment This Year

Drawing insights from a report by NASSCOM, sourced from, it is evident that the technological landscape in 2024 is undergoing a significant transformation. With nearly 90% of companies gearing up to amplify their investments in key digital technologies, such as AI/ML, generative AI, intelligent automation, and big data analytics, the stage is set for remarkable advancements. This surge in investment signals a profound shift in priorities, indicating a strategic pivot towards harnessing the potential of cutting-edge technologies to drive innovation, efficiency, and security across industries. This article delves into the anticipated trends, emerging roles, and focused investments that are poised to shape the technological landscape in the coming months and years.

NASSCOM reports that nearly 90% of companies plan to boost their spending on key digital technologies in 2024, a significant increase compared to previous years. The primary areas of investment growth are anticipated to be in AI/ML technologies, including generative AI, intelligent automation, and big data analytics over the next 6-12 months.

As the adoption of generative AI expands, companies are expected to shift their focus toward cybersecurity by the first half of 2025 to safeguard new AI technologies and sensitive data.

With the rise of Generative AI, specialized roles are emerging beyond the chief AI officer. These roles include Gen AI developers responsible for designing and implementing AI applications, prompt engineers who fine-tune models for specific tasks, AI model curators who oversee data quality and relevance, and AI content creators who produce AI-driven content. These roles are essential for the effective development and deployment of Gen AI technologies.

Over the next 12 to 18 months, investments will heavily concentrate on cybersecurity, AI/ML, Generative AI (Gen AI), networking technology, and automation. This emphasis reflects the increasing importance of leveraging data securely and effectively as data usage and reliance grow across industries.

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