Reorganise or fall behind : The real race in the AI decade

Reorganise or fall behind: The real race in the AI decade presents a powerful whitepaper is built from the field, not the desk. It brings together perspectives from industry and academia on work transformation through roundtable discussions, structured one-on-one interviews with senior industry leaders, insights from a focused tech industry skilling initiatives survey led by Nasscom with select technology organisations and relevant industry researches

The report reveals that while most enterprises have invested in AI pilots, tools, and training programs, relatively few have fundamentally changed how work is organised, decisions are made, and value is created.

At the heart of the report is a critical observation on how organisations are not behind in AI adoption; they are behind in what AI adoption was meant to change. AI is rapidly evolving from a productivity tool into the operating logic that powers workflows, decision-making, and business outcomes.

Leading organisations are redesigning processes and operating models around AI rather than simply automating existing ways of working.

Key highlights of the report about the shift in three acts

Act 1
- Before leaders can act, they must accept what has actually changed
- Automating a broken process does not create transformation. It just makes the broken parts move faster
- 74 per cent of organisations report AI use cases are delivering business value, but only 24 per cent have achieved ROI across multiple use cases
Act 2
- India's AI workforce numbers look reassuring - until you disaggregate them
- There is a knowledge part, there is a skill part and there is an application part." The gap is increasingly evident in the third layer
- The pyramid isn't breaking because it is inefficient-it is breaking because the reason it existed is disappearing
- The human edge: AI made generalists cheap. It made experts priceless
- Reskilling before redesigning work is not transformation-it is expensive confusion scarce
  CHROs must move from the back of the room to the front of the strategy
Act 3
- If your learning strategy still looks like a calendar of programmes, you are not building capability-you are managing the appearance of it
- No organisation will win the AI talent race alone-and the ones that try will fall behind first
- The moment you label external skilling as CSR, you remove the expectation of returns-and with it, your competitive edge
- This shift from regulator to ecosystem architect is no longer conceptual-it is already taking shape in India's national AI agenda
- Academia must fundamentally rewire its relationship with the world of work

The report concludes that the winners of the AI decade will not be the organisations that adopted AI first, but those that reorganised their operating models, workforce strategies, and capability systems around AI first. Sustainable competitive advantage will come from readiness, reinvention, and the ability to transform how work gets done.

Reorganise or fall behind : The real race in the AI decade

AI success is driven not just by adoption, but by workforce readiness and operating model transformation

Download the report (3.0 MB)

Key Contacts

Shalini Pillay

India Leader - Global Capability Centres

KPMG in India

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Sunit Sinha

Partner and Head – Human Capital Advisory Solutions

KPMG in India

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Arun Sharma

Partner, Human Capital Advisory Solutions

KPMG in India

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How can KPMG in India help

In a rapidly transforming world of work, organisations need to continuously evolve and adapt to the changing market dynamics for them to grow, transform and thrive