A Conversation (Imagined but based on the ideas in the book)
Me: Ajay, let’s start simple. Everyone and their chachaji has an opinion on AI today. But your book feels very different - it’s less about tech, more about power. What made you write this now? And how should we read it?
Ajay Kumar: When the Printing Press was invented it just didn’t enable more people to read books. It changed power equations in society. It led to sweeping changes in European thought. It divided the church, and led to wars. Similarly when the Industrial Revolution began, it looked like it was about better machines. It didn’t look like a geopolitical shift. Only later did it become clear that those machines were quietly redrawing the balance of power between nations. We may be at a similar moment again.
AI is no longer equitable in its implications. It is shaping economic competitiveness, influencing geopolitical balance, and even affecting democratic processes.
For India, this creates a dual reality. There is a significant opportunity to be capitalised on , but also a real risk of becoming dependent on external technological ecosystems. That is why this moment requires strategic thinking, not just technological adoption.
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Me: We’ve always been told tech levels the playing field. You’re basically saying the opposite - that AI is widening the gap. And honestly, it already feels like a US - China game. Are we already too late to the party?
Ajay Kumar: The concentration you are observing is real, and it is the result of long-term structural advantages. Both the United States and China have built deep and integrated AI ecosystems over decades. These include world-class research institutions, access to vast datasets, significant computational infrastructure, and strong linkages between government, industry, and academia.
In the US, innovation has been driven by a combination of universities, venture capital, and highly dynamic private enterprises. China, on the other hand, has demonstrated the ability to align national priorities, mobilise state resources at scale, and rapidly deploy technologies across sectors.
Another important factor is continuity. AI did not become a priority overnight; it has been the result of sustained investment and focus. This has created a situation where AI increasingly rewards those who already possess scale - of data, compute, and talent - leading to further concentration of power.
However, it is important to recognise that AI is still evolving. Many of its most critical challenges remain unsolved. This provides an opportunity for countries like India to innovate in areas where incumbents are not optimised - such as population-scale applications, multilingual systems, and cost-efficient AI. The gap is significant, but it is not insurmountable - provided the response is strategic and timely.
Me: Let’s bring this closer home. Right off the bat you talk of 100 million jobs enabled by AI in India. This sounds huge and exciting ..... but also slightly “too good to be true.” When you look at compute, data, education and all of the other stuff you discuss - this feels too messy. Lagta hai ki, bhaiyya, itna toh hum se na ho paayega. What actually needs to click for India to pull this off?
Ajay Kumar: You are correct in observing that this is a multi-dimensional challenge. The vision of large-scale job creation is anchored in India’s demographic and technological strengths. However, realising it requires alignment across several critical pillars.
First, human capital. India must invest in large-scale skilling and re-skilling, extending beyond elite institutions to reach smaller towns and diverse segments of the population. Second, infrastructure, particularly compute and data. AI development is inherently resource-intensive. Without access to computational capacity and well-governed data ecosystems, innovation cannot scale. Third, institutional collaboration. Industry, academia, and government must work in close coordination to ensure that education, research, and deployment are aligned. Fourth, strategic clarity. India must avoid the trap of imitation and instead focus on areas where it can build differentiated capabilities.
The risks arise when these elements evolve in isolation. Fragmented efforts, limited access, or delayed policy responses can significantly dilute the potential. In essence, the opportunity is large, but it is contingent on execution at scale and with coherence.
Me: This all sounds great on paper. But all of us know that India mein ground reality thodi different hai. Do we really get the urgency - or will we treat this like another policy ideation document?
Ajay Kumar: That is a legitimate concern, and one that must be addressed candidly.
Institutional readiness often determines the success of any large-scale transformation. But the good news is that AI itself, by its nature, compresses timelines of innovation and disruption, which can galvanise traditional policy processes. Also, India has demonstrated, through initiatives in digital public infrastructure and large-scale technology deployment, that it can execute complex programmes when there is alignment and clarity of purpose.
The key requirement now is to extend that capability into the AI domain. This involves building capacity within government, fostering deeper engagement with industry and academia, and adopting more agile and adaptive policy frameworks. Equally important is recognising the urgency. AI does not operate on conventional cycles, and delayed responses can have long-term consequences.
The transition will not be automatic. It will require leadership, institutional learning, and sustained focus.
Me: Let’s drop the diplomacy for a second. What’s our biggest weakness in this race?
Ajay Kumar: Our greatest challenge is not a lack of potential, but timely execution at scale. India possesses significant advantages - talent, data, and a strong digital foundation. However, translating these into coordinated and sustained action is the need of the hour.
The window of opportunity is finite. If we act decisively, we can shape outcomes and create new areas of leadership. If we delay, we risk becoming dependent on external ecosystems. The choice is both strategic and immediate.
Me: Let me ask this bluntly. Do our policymakers really “get” how big this moment is? And, as Chairman of UPSC, are you now looking for a very different mindset in the next generation entering the system?
Ajay Kumar: Let me also answer it directly as there is no other way to do so. Yes many of policymakers do get it (perhaps more than what you may think) and yes it’s also true many don’t. And I hope my book in a small way may help the latter category see new perspectives. And not only the new aspirants but I hope every Indian will open their minds to the opportunities and challenges.
AI is not just about what we build. It is about what we choose to become.
My Comments :
This book offers a clear and comprehensive view of the many ways AI will shape the nation - going beyond broad ideas to presenting concrete suggestions and actionable initiatives. More importantly, what Ajay Kumar has written is not a book with final solutions, but has initiated a conversation - one that all Indians, and particularly policymakers, need to engage with. The writing is lucid and accessible, and the structure of each chapter - with abstracts and conclusions - makes it easy to grasp key ideas quickly without losing depth.
Kudos Ajay.
My Book Rating : 5 stars.





