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Is India ready for the AI revolution? The rapid advancements in artificial intelligence, from generative AI tools to sophisticated machine learning algorithms, are transforming industries across the nation. From fintech's burgeoning use of AI-powered fraud detection to the agricultural sector's embrace of precision farming technologies, the impact is undeniable. This week saw a major breakthrough in indigenous 5G technology development, signaling India's growing prowess in the global tech landscape. But alongside this progress comes the crucial discussion surrounding data privacy, cybersecurity, and the ethical implications of AI deployment. How will India navigate these challenges and harness the transformative power of technology for inclusive growth? Explore the latest developments in Indian tech, from the rise of digital payments to the burgeoning startup ecosystem, and discover how innovation is shaping the nation's future. Stay informed with Abtak.com – your gateway to understanding the tech revolution reshaping India.

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TechnologyNov 16, 2025 04:29 PM

Nearly half of Indian firms live on AI, but budgets remain tight: EY-CII report

New Delhi, Nov 16 (PTI) Nearly half of Indian enterprises have moved beyond AI pilots to active deployment, with 47 per cent reporting multiple Generative AI use cases now live in production, according to a joint EY-CII report. However, despite strong belief in AI's promise, investment levels remain conservative, with more than 95 per cent of firms maintaining AI and ML budgets below 20 per cent of overall IT spending. "...nearly half of Indian enterprises (47 per cent) now have multiple Generative AI (GenAI) use cases live, while 23 per cent are in pilot stage - marking a decisive shift from pilots to performance. Indian enterprises are demonstrating strong confidence by embedding AI into core business workflows to deliver measurable results. Notably, 76 per cent of business leaders believe that GenAI will have a significant business impact, and 63 per cent feel ready to leverage it effectively," the report noted. The EY-CII report 'The AIdea of India: Outlook 2026' is based on a survey of 200 Indian organisations, spanning over 20 industries, including government bodies, public sector undertakings, startups, global capability centres (GCCs), and Indian arms of multinational corporations. Responses were collected from C-suite executives and senior leaders. As many as 91 per cent of decision-makers identified rapid deployment as the single most important factor in their buy-versus-build strategies for AI. Over the next 12 months, investments are expected to concentrate on operations (63 per cent), customer service (54 per cent), and marketing (33 per cent), reflecting a push towards embedding AI within functions that directly affect performance. Despite growing optimism, spending on AI and ML remains relatively limited. Over 95 per cent of organisations dedicate less than 20 per cent of their IT budgets to AI, while just 4 per cent exceed that mark, indicating that although confidence in AI's potential is strong, most companies continue to invest cautiously in large-scale AI transformation. "There is a clear imbalance between conviction and commitment, which is becoming a defining factor in how quickly enterprises extract measurable returns from AI. As organisations operationalise AI, the question of return on investment has taken centre stage. "...enterprises are moving away from measuring AI success purely through cost reduction and productivity metrics, toward a five-dimensional ROI model encompassing time saved, efficiency gains, business upside, strategic differentiation, and resilience," the report said. Further, it revealed that Indian enterprises are increasingly co-innovating with startups and original equipment manufacturers (OEMs). Nearly 60 per cent of organisations reported active engagement in such partnerships, moving away from in-house-only approaches to leverage external capabilities for agility and innovation. Hybrid deployment models dominate, with 78 per cent of organisations adopting a blend of internal and external resources to accelerate execution. In terms of workforce impact, the survey revealed a "new workforce pyramid", where 64 per cent of enterprises report selective transformation of roles in standardised tasks. However, this shift is coupled with persistent shortages of skilled AI talent, with 59 per cent acknowledging this gap. While mid-office and innovation roles are expanding, enterprises are restructuring their operating models around AI, creating AI-first architectures, where humans collaborate closely with machines to optimise decision-making, speed, and precision. PTI ANK ANK BAL BAL

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