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Organizations In India Accelerate AI Adoption To Build Business Resilience

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Organizations in India continue to accelerate the adoption of artificial intelligence, signaling a decisive shift from experimentation to enterprise use. As organizations move from AI adoption to scale, executives are focused on operationalising AI across the enterprise: strengthening governance, processes and organisational readiness. Accenture’s latest research on talent trends  finds that 43% of organizations in India are prioritizing investments to accelerate talent transformation, while 37% identify skilling as the biggest gap between talent and technology. Recent research on Sovereign AI  reveals that 56% of enterprises in India are considering sovereign AI investments.

As shared earlier, Accenture’s Pulse of Change survey findings show that Indian enterprises continue to increase AI investments, with 69% of executives seeing AI primarily as a lever for revenue growth than for cost reduction. This rapid uptake reflects growing confidence in AI’s role in reshaping how work gets done across the region.

QUOTES:

Saurabh Kumar Sahu, India Business Lead, Accenture said,

“India’s AI momentum is undeniable with enterprises significantly increase their AI investment. However, sustained value will depend on how quickly organizations reinvent their talent. Scalable learning platforms like LearnVantage play a critical role in equipping people with the skills and confidence to use AI responsibly and effectively, turning ambition into resilience and growth.”

Manas Mehra, Global CIO, Dabur India Limited said, (Also part of the media briefing held earlier today)

“For Dabur, scaling AI is about helping our people build on a proud legacy while equipping them to thrive in a rapidly changing consumer market. We are focused on making AI familiar and usable across the workforce, whether through training, AI champions, or tools like Dabur GPT. We strongly believe when AI becomes an everyday companion to work, it augments human expertise and drives business value benefits and not just productivity gains.”

Ryoji Sekido, Accenture’s Co-CEO for APAC said,

“As APAC businesses face more volatility with margin pressure, trade disruption and uneven talent markets, they are starting to scale AI to build resilience. Companies that are succeeding are not just deploying tools, they are making sustained investments across the business, including in people, process redesign and operating model evolution.”

“The accelerated use of AI Agents is a good sign, but its important organizations recognize that building agents for everything is not the answer. Leaders use it where it matters most, redesigning core processes or deploying agents only at critical decision points. Discipline, not scale, is what drives real value.”

Vivek Luthra, Accenture’s AI & Data Lead for Accenture in APAC said,

“Organizations across Asia Pacific increasingly recognize that talent reinvention is critical to scaling AI, and 41% say skills readiness and development is the biggest challenge to scaling AI. Companies that are ahead are redesigning roles and enabling people and AI to learn together in the flow of work.”

ADDITIONAL INFORMATION:

How Dabur is reinventing talent

As Dabur scales AI, it is reinventing talent and culture alongside technology combining its Ayurvedic heritage with a modern, data first approach and investing in a digitally ready workforce. Initiatives include gamified learning programs, LinkedIn based digital academies, and immersive “AI Horizon” workshops for leadership teams and cross functional managers. A key enabler has been Dabur GPT, introduced early to demystify AI and make it intuitive and accessible, positioning it as a natural companion in everyday work. Employees are being upskilled on AI tools as well as data stewardship, cybersecurity, and responsible AI to support everyday decisions, from supply chain planning and market execution to product innovation. Function-wise AI-led intervention charters are in place to drive value opportunities. New roles and career pathways now explicitly reflect AI and analytics expectations, with hiring and development focused on curiosity, adaptability, and continuous learning.

How One NZ is reinventing talent

As One NZ scales its AI strategy, it is building AI capability across its workforce. Mandatory “Ka Tika: Using AI Responsibly” training ensures employees understand how to use AI safely and ethically in day to day work. The telco has also launched its AI School and AI Elevate learning series to provide hands on experience with tools such as Copilot and enterprise grade generative AI. For longer term progression, One NZ uses its Skills Edge career platform to help employees set personal AI goals, track progress and transition into more AI enabled roles over time.

How UOB is scaling AI across the enterprise

As UOB advances its AI strategy, the Bank is focused on scaling artificial intelligence responsibly across core operations, moving from experimentation to production grade, enterprise wide deployment. This includes the deployment of generative and agentic AI, with clear accountability, human in the loop mechanisms and lifecycle management to ensure AI systems are reliable, explainable and fit for use in a regulated environment. Through initiatives such as Gen AI Enablement and Build Your Own Bot, UOB is also integrating AI directly into everyday workflows, enabling faster decision making and consistent execution at scale.

In addition, UOB continues to invest in building AI and data fluency across the organisation. Programmes such as the UOB Innovation Academy and Better U Pivot help develop the skills and capabilities needed to apply AI confidently as adoption accelerates. The Bank is also building a talent pipeline with the AI and Data Analytics (AIDA) Centre of Excellence, established with IMDA and the National University of Singapore.

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