AI Supercycle Confirmed by Persistent Systems CEO
Sandeep Kalra, Chief Executive Officer and Executive Director at Persistent Systems, believes the current Artificial Intelligence (AI) wave is not a speculative bubble but a genuine 'supercycle'. Speaking on CNBC TV18, Kalra differentiated between the long-term impact of AI technology and current market valuations, offering insights into how AI will reshape sectors and drive growth for IT services firms.
Key AI Ecosystem Beneficiaries
- Kalra identified chipmakers like Nvidia and AMD, along with ecosystem supporters such as Broadcom, as the primary beneficiaries in the short to medium term.
- He noted their strong order books, which are filled for the next one to two years, indicating substantial investment in data center infrastructure.
- Hyperscalers, including Microsoft, Google, and AWS (Amazon Web Services), are investing heavily in capital expenditure.
- These hyperscalers are actively monetizing their AI investments through cloud services, developer tools, and co-pilots, creating tangible revenue and profitability.
Long-Term Growth for IT Services
- For technology services companies like Persistent Systems, Kalra sees them as 'winners in the longer run.'
- He emphasized that possessing AI technology is only part of the equation; the real value lies in integrating AI into specific enterprise contexts.
- This requires building new business use cases and developing novel business models, which necessitates significant system integration activity.
- Currently, many enterprises are in the initial stages of preparing their data for AI consumption, an area where Persistent Systems is already seeing larger programs.
Projected Revenue Shift in IT Sector
- Kalra forecasts a significant revenue transformation for the IT services industry over the next three to five years.
- While AI-related projects currently constitute single-digit percentages of revenue, he projects that AI-native work could account for '30 to 40% or more' of revenues.
- He clarified that this is a multi-year journey, not a projection for the immediate quarters.
- The discussion also touched upon 'agentic AI' as a more advanced, nascent stage requiring robust, enterprise-wide data integration.
Impact of Currency and Future Outlook
- Addressing the impact of the depreciating Indian rupee, Kalra acknowledged a short-term currency effect.
- However, he downplayed its overall significance, calling it a 'smaller enabler' for the industry.
- He stressed that the Indian IT industry's success is built on core capabilities and innovation, transcending mere currency fluctuations.
- The most critical factor for the next three to five years, according to Kalra, is for companies to build strong AI capabilities, which will provide a 'significant amount of tailwind' for the sector.
Impact
- This news signals strong future growth potential for the Indian IT services sector, driven by the AI supercycle.
- It highlights significant opportunities for companies specializing in AI integration, data preparation, and system development.
- Investors may anticipate increased interest and potential upside in IT stocks and related technology companies.
- The broader economy could benefit from enhanced productivity and the creation of new business models enabled by advanced AI technologies.
- Impact rating: 8/10
Difficult Terms Explained
- Supercycle: An extended period of unusually high economic growth and prosperity, often driven by transformative technological innovations.
- Hyperscalers: Large cloud computing providers that operate massive data centers and offer scalable services to a vast number of users (e.g., Microsoft Azure, Amazon Web Services, Google Cloud).
- Capital Expenditure (CapEx): Funds used by a company to acquire, upgrade, and maintain physical assets such as property, buildings, technology, or equipment.
- System Integration: The process of linking together different computing systems and software applications physically or functionally, to act as a coordinated whole.
- AI-native work: Tasks, projects, and business models that are fundamentally built upon and driven by artificial intelligence technologies from their inception.
- Agentic AI: A more advanced form of AI where systems can autonomously perceive their environment, make decisions, and take actions to achieve specific goals without constant human intervention.