Policy·APAC

AI Volumes May Counter Revenue Deflation in IT by FY30

Global AI Watch · Editorial Team··5 min read
AI Volumes May Counter Revenue Deflation in IT by FY30
Editorial Insight

This AI-driven inflection represents a potential paradigm shift for India's IT sector by FY30, akin to prior tech waves.

Key Points

  • 1Generative AI's spending share to double by 2029, reaching 11%.
  • 2Higher AI spending expected despite current economic pressures.
  • 3Impacts global AI spending dynamics and regulatory landscape.

What Changed

The CLSA report highlights expectations that AI volumes could outpace revenue compression in the Indian IT services sector by FY30. Despite current macro and microeconomic challenges, including weak macroeconomic conditions and softer demand, the report outlines a significant growth opportunity for AI. By FY29, generative AI's share in IT services spending is projected to rise to 11%, reflecting a broader trend towards increased AI adoption.

Strategic Implications

The anticipated AI growth in India's IT sector signals potential shifts in global IT spending dynamics. Companies mastering AI integration could gain competitive advantages, while those unable to adapt may face revenue deflation pressures. This growth could empower Indian IT firms against global competitors, leveraging AI to enhance service offerings and operational efficiencies.

What Happens Next

The report suggests a pivotal moment for the industry by FY28, with a growth inflection period expected within the next 18-24 months. Collaboration between AI developers and Indian IT services firms could accelerate AI adoption. Policymakers might consider regulatory frameworks to support this shift, ensuring AI-driven growth aligns with national economic strategies.

Second-Order Effects

Increasing AI volume could lead to a restructuring in IT service models, impacting how vendors approach contracts and pricing. Moreover, India might see regulatory developments focusing on AI ethics and data privacy, paralleling those in other major markets. This could influence investment flows into AI research and development, particularly in collaboration with international tech firms.

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