AI adoption in India driven by transformative potential balanced by cost sensitivity reveals  Deloitte’s latest report

In an era of rapid technological advancements, adopting Artificial Intelligence has become essential for companies to maintain a competitive edge. Deloitte’s third wave of the State of Generative AI Report sheds light on the distinct priorities of Indian organisations as they embrace Generative AI.  

Per the survey analysis, Indian participants are highly price-sensitive when adopting GenAI models,  highlighting the challenge of balancing innovation with affordability in a price-sensitive market. Nearly 50  percent of Indian respondents cited pricing as the primary factor, followed by the model’s overall  performance and flexibility. Meanwhile, global companies emphasized overall performance, trust and  flexibility, with pricing following later. 

The report projects strong optimism about GenAI’s transformative potential, with ~89 percent of surveyed  participants confident it will reshape their organisations within the next three years. Notably, 70 percent of respondents expect this transformation to occur within one to three years within their organisation. Meanwhile, 48 percent of respondents expect similar transformation across their industry, highlighting the  growing urgency across sectors. Additionally, over 95 percent of respondents report internal and external  pressure to adopt GenAI. 

Despite progress in data management, strategy and tech infrastructure, where over 40 percent of  respondents reported high levels of preparedness to adopt GenAI, the report reveals considerable gaps. In  risk, governance and talent, only 25 percent of participants admitted to being highly prepared in these  critical areas. This shortfall signals an urgent need for organisations to bolster their capabilities to fully  utilise GenAI’s transformative power. 

GenAI has bolstered productivity and improved efficiency, with 42 percent of respondents indicating this as the most important benefit their organisation has achieved through GenAI initiatives. This aligns with initial expectations of GenAI, where 61 percent cited improved efficiency and productivity as a key benefit desired. This is partially made possible with an in-depth integration of GenAI into the organisation’s functions and processes, which 34 percent indicated is the key action to drive value.

Speaking on the findings from Wave 3 of the report, S. Anjani Kumar, Partner, Deloitte India, said,  “Generative AI has the potential to redefine the future of work by unlocking unprecedented efficiencies,  productivity and innovation across industries. However, to fully harness its transformative power, CEOs and senior leaders must prioritise its adoption and address the inherent challenges head-on. This means moving beyond surface-level understanding and tackling obstacles such as implementation complexities,  investment, risk management and talent gaps.  

By fostering a culture of continuous learning, enhancing governance frameworks and ensuring robust risk  mitigation strategies, organisations can accelerate GenAI adoption and fundamentally reshape their  business models for sustained growth and success in a rapidly evolving landscape.” 

Key findings from the survey 

Organisational urgency: Over 95 percent of respondents feel the pressure to adopt GenAI, driven  by internal and external forces 

Preparedness for GenAI: While participants exhibit higher readiness in data management, strategy and tech infrastructure, there is a notable need for improvement in risk & governance and talent.

  • Investment trends: Investments in GenAI are on the rise, focusing on data management, cloud  consumption and AI/ML capabilities. However, less than 20 percent of the overall AI budget is  currently dedicated to GenAI in over 50 percent of the organisations surveyed. 

Barriers and challenges: One of the primary roadblocks with GenAI is using sensitive data in  models, with 68 percent indicating it as a significant concern. Other key barriers to GenAI adoption  include data privacy and security concerns, with 65 percent of respondents citing significant  challenges. Firms with less AI expertise struggle with talent acquisition and skills development,  while more experienced companies face implementation hurdles. 

As India’s GenAI landscape evolves, businesses must accelerate adoption and bridge critical talent  development and risk management gaps. The potential is vast, but achieving true transformation demands  a holistic approach to AI readiness. 

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