India among top 10 emerging markets in AI readiness; private AI investment triples: World Bank

AI readiness means having the foundations to develop, adopt, and use artificial intelligence. These foundations include skilled workers, reliable digital infrastructure, capable businesses, access to technology, and policies that support safe and broad adoption. Readiness is about practical capacity, not simply owning advanced AI systems.

India’s top-10 position means it performs strongly compared with other emerging markets on these conditions. Its large technical workforce, globally connected IT sector, and digital public infrastructure give organizations a strong base for using AI. These strengths can help businesses and public agencies apply AI to real problems.

The ranking does not guarantee that AI will benefit everyone or that its long-term effects are known. The World Bank says India still needs better AI-enabling infrastructure, wider access, a stronger business environment, and greater labour capacity. Those steps could turn readiness into widely shared productivity and public-service gains.

India’s private AI investment increased by $2.9 billion between 2024 and 2025. In relative terms, it rose to more than three times its earlier level, reaching $4.1 billion from $1.2 billion. That jump signals rapidly growing business interest in AI tools, services, and applications.

Employment in Global Capability Centres grew during the same period. The number of professionals rose from 1.9 million in 2024 to 2.36 million in 2025. That is an increase of about 460,000 people, or roughly 24 percent. GCCs often perform technology, analytics, finance, and other specialized work for global companies.

Together, the figures show expanding AI-related investment and a growing base of skilled services employment. They do not prove that every new job is directly an AI job. Still, they suggest India is attracting more technology activity while companies increase their capacity to use advanced digital tools.

A large technical workforce gives India people who can develop software, manage data, and integrate AI into existing systems. A strong IT industry adds companies with experience serving international clients and delivering technology at scale. These capabilities reduce the difficulty of moving AI from experiments into everyday services.

Digital public infrastructure is another important foundation. Shared digital systems can help organizations connect users, verify information, and deliver services efficiently. Combined with technical talent and IT firms, this infrastructure can support AI applications tailored to local needs rather than relying only on imported products.

The World Bank therefore describes India as well positioned to harness AI. However, readiness is not the same as guaranteed success. The country still needs deeper AI-enabling infrastructure, a better business environment, broader access, and stronger labour capacity so the gains reach more people.

AI can change the economy by helping workers and organizations complete some tasks faster, cheaper, or more accurately. Businesses may use it for analysis, software, customer support, and operations. Governments could apply it to improve public services. These changes may increase productivity and create demand for new technical and managerial skills.

The effects will not be identical across workers or industries. Some tasks may be automated, while other jobs may be reshaped rather than eliminated. For example, AI could handle routine work while people focus on decisions, relationships, or complex problems. The article does not identify specific occupations that will disappear.

Because the long-term impact remains uncertain, the World Bank calls for broader AI access and stronger labour capacity. Training and transition support can help workers adapt. Better infrastructure and policies can also help ensure productivity gains are widely shared instead of concentrated among a small number of firms or skilled workers.

Global Capability Centres, or GCCs, are dedicated operations that multinational companies establish in another country. They may provide software development, engineering, data analysis, finance, research, customer support, and other specialized services. India is a major location because it offers technical talent, an established IT ecosystem, and experience working with international businesses.

Their importance is visible in the employment figures. The World Bank reported that GCC professionals in India increased from 1.9 million in 2024 to 2.36 million in 2025. This growth represents about 460,000 additional professionals. GCCs can bring skilled jobs, export service expertise, and investment into India’s technology economy.

They also provide a channel for global companies to develop and use AI in India. However, the figures cover GCC employment broadly, not only AI roles. Their continued expansion will depend on skills, infrastructure, business conditions, and workers’ ability to adapt as AI changes service delivery.

Small AI refers to focused tools designed for a specific task, community, or setting. Unlike large general-purpose systems, these applications can be built around local languages, limited data, modest computing power, and a clearly defined user need. That makes them potentially easier to deploy where money, connectivity, or technical infrastructure is limited.

For example, an agriculture tool could provide locally relevant advice to farmers rather than attempting to answer every possible question. The World Bank says it is investing through AgriConnect in targeted, locally adapted tools. Their key mechanism is customization: the system is shaped around local conditions and practical needs.

This approach may make AI more affordable and useful while extending access beyond large firms and wealthy users. It is not automatically better for every task, and the article does not compare performance directly. Still, small AI could help South Asian communities gain from adoption and support workers during technological change.

Artificial intelligence is a set of computer methods that enables machines to perform tasks commonly associated with human intelligence. These tasks can include recognizing patterns, understanding language, making predictions, generating content, and supporting decisions. AI systems learn from data or follow designed rules to produce useful outputs.

Productivity rises when AI handles work that previously required substantial human time or judgment. For example, it might summarize documents, detect patterns in records, translate text, or help write software. A worker can then review the result and spend more time on complex decisions, communication, or creative work. The exact benefits depend on accuracy and oversight.

In India, the World Bank sees AI as a possible development tool, not merely a technology. It could improve productivity and public services. Yet adoption may also change tasks and skills, so training, access, and worker support are important. The article emphasizes that the long-term labour-market impact remains uncertain.