Artificial intelligence has immense potential to enhance human capabilities and drive growth in several industries. It is projected to greatly improve governance, healthcare, and education outcomes.
However, this potential may not be realised if the building blocks of AI remain concentrated in the hands of a few dominant companies or the countries in which they are located.
The priorities for AI adoption in India can be quite different. Vijay Kelkar and Ajay Shah propose that the toughest challenges for a state – such as the tax system – involve processes that feature a high number of transactions, the need for discretion, high stakes for individuals, and some degree of secrecy.
AI adoption could reduce the complexity of such challenges on some of these dimensions, such as the transaction volume and discretion. This makes it easier to overcome state capacity limitations and deliver better governance and public services.
On the other hand, widespread AI adoption could also negatively affect the availability of low-skilled jobs upon which a large part of India’s labour force depends. Thus, the opportunities and challenges for India might be significantly different from those of developed countries.
Technology and geopolitics are becoming increasingly intertwined. Many countries have identified critical and emerging technologies that are essential for national security and economic…
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