Indian enterprises rapidly advancing GenAI adoption despite challenges: Report
Summary
Analysis of India’s top 50 most valued unicorns revealed that 66% have integrated AI or GenAI technologies, signalling a robust adoption rate among start-ups.
Enterprises across India are progressing from proof-of-concept (POC) projects to full-scale production deployments of Generative AI (GenAI) technology, though adoption maturity varies widely among organisations.
According to EY India’s latest report, “Is Generative AI beginning to deliver on its promise in India? – AIdea of India Update,” businesses are meticulously evaluating the enterprise-grade functionality and reliability of GenAI.
The report, released on Thursday, identifies a swift adoption curve among digital-savvy entities such as start-ups and Global Capability Centers (GCCs). These organisations are rapidly advancing POCs to production, with start-ups and GCCs leading the charge at rates of 15-20% and 30-40%, respectively.
Key Challenges and Strategic Imperatives
Despite the optimistic adoption rates, enterprises face significant challenges in fully embracing GenAI. The report highlights three critical issues: the “hallucination” of responses from large language models (LLMs), data privacy and sovereignty concerns, and the substantial cost implications of deploying GenAI in production environments.
Mahesh Makhija, Partner and Technology Consulting Leader at EY India, emphasised the necessity for enterprises to transition from ad hoc experiments to strategic, ‘fit for purpose’ use cases. “Organisations need to focus on immediate value creation and long-term functional transformation, all while managing costs and adopting a hybrid approach due to the limited availability of diverse models in India,” Makhija noted.
Sectoral Adoption and Use Cases
Analysis of India’s top 50 most valued unicorns revealed that 66% have integrated AI or GenAI technologies, signalling a robust adoption rate among start-ups. The report details that around one-third of implemented GenAI use cases involve intelligent assistants performing specific tasks, with approximately 25% dedicated to marketing automation through text generation and multimodal capabilities. Document intelligence is also a key focus, accounting for 20% of use cases in areas like document summarisation, enterprise knowledge management, and search functionalities.
Moreover, GenAI is increasingly utilized in enterprise intranets, customer-facing chatbots, enhanced user experience platforms, coding assistants, and internal process automation, showcasing its versatile application across various business functions.
Investment Landscape and Infrastructure Development
The AI investment landscape in India is diversifying, with significant investments in early-stage companies across multiple sectors. Unlike early 2023, which saw a concentration of investments in Healthcare, Life Sciences, and Financial Services, the first quarter of 2024 has witnessed expansion into Technology, Industrial, Energy Utilities, and Consumer Products Goods (CPGs).
Investors are prioritising three key evaluation criteria for potential AI investments: AI performance impact, cost implications, and compliance factors.
The availability of GPU infrastructure, essential for training models and incorporating GenAI into applications, remains a critical requirement. The report notes that the high demand for GPUs has driven up costs, but initiatives by the government, large business groups, and start-ups to build localised GPU infrastructure are set to significantly boost GenAI adoption in India.
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