India has the potential to give the United States a decisive edge in the global race for artificial intelligence adoption, with American tech giants Google, Microsoft, and Amazon already committing billions of dollars to build AI hubs across the country, according to an article published in Arab News. The piece, co-authored by Ylli Bajraktari and Dhruva Jaishankar, argues that a deepened US-India technology partnership could determine whether the digital infrastructure of the Global South remains open or falls under China's proprietary technology stack.

Why India Is Central to the US AI Strategy

According to the article, India offers far more than a large consumer market. It provides population-scale datasets drawn from nearly 1.5 billion people, making it an unparalleled testing ground for AI in real-world environments — from rural agriculture to urban healthcare. India's AI talent pool is projected to exceed 1.25 million professionals by 2027, supplying the intellectual capital needed to sustain a high-tempo innovation cycle.

The authors argue that while the US maintains a decisive lead in frontier AI models and high-end computing, China's capacity for innovation remains a formidable challenge. To counter Beijing's technological ambitions, Washington needs the talent depth and dataset scale that only India can provide at this moment in history.

The Strategic Stakes: Open Tech vs China's Closed Stack

The article frames the US-India AI collaboration in explicitly geopolitical terms. If the future of the digital world is built on US-Indian infrastructure, the authors contend, the global order will remain open and secure. Conversely, if it is anchored in China's proprietary technology ecosystem, the global digital order risks fracturing along authoritarian lines.

Notably, this argument comes amid a broader global debate over technology sovereignty, with countries across Africa, Southeast Asia, and Latin America weighing their digital infrastructure choices between US-aligned and Chinese-led platforms. India's alignment, in this context, carries outsized strategic weight.

Bridging the Talent Gap: A US Imperative

The article cautions that potential is not the same as proficiency. While India's talent pool is vast, it states that considerably more must be done to match individual skills to specific AI tasks. Bridging this gap is described as a US strategic imperative — integrating Indian talent into US-led ecosystems is presented as the only sustainable path for American firms to maintain their competitive edge against a rival that, the authors argue, views technology as a tool of state control rather than individual empowerment.

This comes amid rising anti-immigrant sentiment in the United States, which the article acknowledges could complicate efforts to build a seamless cross-border talent corridor. Navigating this political terrain, the authors note, will require deliberate policy choices from both governments.

A Four-Point Plan for a Permanent Strategic Advantage

The article lays out a structured four-point framework to convert the current US-India AI momentum into a durable strategic advantage:

First, linking India's startup ecosystem with US technological tools and capital to co-create solutions for global challenges. Second, building resilient infrastructure and supply chains — spanning critical minerals, semiconductors, undersea cables, open telecommunications networks, and data centres. Third, creating a seamless high-skill talent ecosystem, even as anti-immigration pressures complicate the political landscape. Fourth, aligning technological standards, intellectual property rights, and cybersecurity policies between the two nations — translating shared democratic values into common regulatory agendas to reduce bilateral friction.

What Comes Next

The investments by Google, Microsoft, and Amazon in Indian AI infrastructure signal that the private sector is already moving in this direction. The harder work lies in translating corporate commitments into institutional frameworks — on talent mobility, data governance, and standards alignment — that can outlast individual administrations. Whether New Delhi and Washington can build that architecture at the pace the AI race demands remains the central question.