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India ranks among top emerging AI-ready markets as private investment triples
A World Bank assessment released in early October places India among the top ten emerging-market performers in artificial intelligence readiness. The report, titled India and Artificial Intelligence: Seizing the Development Opportunity, attributes the position to the country’s large technical workforce, globally integrated information-technology sector and digital public infrastructure.
Private AI investment more than tripled to US$4.1 billion in 2025 from US$1.2 billion the previous year. Employment at Global Capability Centres rose to 2.36 million from 1.9 million. These centres handle technology and business processes for international firms and have become an important channel for AI-related work.
The ranking does not claim India leads advanced economies. High-income countries dominate global AI metrics through capital and mature regulation. India is described as punching above its resource constraints through talent density and policy focus. Adoption remains limited: roughly 23 per cent of formal firms report using some form of AI, compared with higher rates in the United States. Only a small share of internet users used tools such as ChatGPT in the period examined.
The report sees potential for AI to raise productivity and improve public services, particularly if tools are adapted to local conditions rather than limited to large urban firms. It also notes that labour-market substitution risks appear lower than in richer economies because of the structure of employment, though long-term effects remain uncertain. Recommendations include widening access, strengthening infrastructure, building skills, and developing adaptive governance.
For an international audience, the assessment matters because AI is reshaping investment, services, and productivity worldwide. India’s combination of engineering talent, existing IT services scale and digital platforms such as those supporting payments, and identity makes it a practical location for both application development and global capability work. The sharp rise in private investment indicates that firms are committing capital on the basis of observed capabilities rather than announcements alone.
The findings align with ongoing government efforts under the IndiaAI Mission to expand compute access and support domestic applications. They also sit alongside private commitments to data-centre and AI-factory capacity. Taken together, the report supplies an external benchmark that India’s technical base and digital infrastructure are recognised as material assets in the current technology cycle.
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World Bank raises India’s growth forecast to 7.1 per cent for the current fiscal
The World Bank has lifted its forecast for India’s economic growth in the 2026–27 fiscal year to 7.1 per cent from 6.6 per cent in its April projection. The revision appears in the organisation’s India Development Update and related South Asia Economic Update released on 6 October.
India’s growth accelerated to 7.8 per cent in the preceding fiscal year from 7.2 per cent, driven by strong investment and private consumption. Momentum carried into the first quarter of the current year, again at 7.8 per cent. The World Bank expects industry and services to continue supporting expansion, helped by labour-code consolidation, goods-and-services tax changes, tariff rationalisation, insolvency reforms, and investments in physical and digital infrastructure.
Private consumption is expected to remain the main driver, though a rainfall deficit may modestly affect rural demand. On the supply side, stronger industrial activity is projected to offset weaker agricultural output. The South Asia region’s growth forecast for 2026 was raised to 6.9 per cent from 6.3 per cent; excluding India the regional figure is lower, largely because of a downward revision for Bangladesh. India is also projected to grow 7.2 per cent in 2027–28.
External risks remain elevated, including energy-price pressures and potential capital-flow volatility. The report notes that AI-related productivity gains are currently concentrated in a limited set of firms.
This upgrade confirms that the economy has continued to expand at a pace that supports global growth even amid trade tensions and geopolitical uncertainty. Sustained high growth in a market of this size influences demand for commodities, capital goods, services, and technology. It also affects decisions by multinational firms about manufacturing locations, research centres and consumer markets.
The figures sit alongside earlier data showing gross foreign direct investment reaching elevated levels. Together they indicate that domestic demand and policy continuity have so far outweighed external headwinds. International observers tracking emerging-market performance will note that India continues to outpace most large economies on current projections.
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Cheetahs released into a Madhya Pradesh tiger reserve, expanding the reintroduction project
On 7 October, Madhya Pradesh Chief Minister Mohan Yadav released two cheetahs, named Vyom and Neera, into the Veerangana Durgavati Tiger Reserve in Sagar district. The animals were moved from Kuno National Park. The release marks the first introduction of cheetahs into this reserve and the third habitat for the species in the state, after Kuno and Gandhi Sagar Wildlife Sanctuary.
Soft-release enclosures covering about 439 hectares have been prepared in the Muhali range so the animals can adjust gradually. The reserve spans roughly 2,300 square kilometres and already holds around 30 tigers and 40 leopards. Officials described the step as an expansion of the national cheetah project launched in 2022, when animals were brought from Namibia, South Africa, and Botswana after the species had been extinct in India for decades.
The chief minister stated that the project had raised the cheetah count to around 60 and that two further animals would be brought to the reserve the following month. He noted that cheetahs generally avoid conflict with people and highlighted Madhya Pradesh’s broader wildlife holdings, including large populations of tigers, vultures, and gharials.
The move is the first attempt in India to place cheetahs in a landscape that already supports a substantial tiger population. Monitoring arrangements and the soft-release design are intended to manage the transition. Long-term success will depend on prey availability, habitat quality, and ongoing protection.
Internationally, the project is one of the more closely watched large-mammal reintroductions. Success or difficulty in expanding habitats and managing multi-species landscapes offers practical lessons for conservation programmes elsewhere. India’s ability to grow the population from the initial imported animals and to designate additional sites demonstrates institutional capacity in protected-area management and species recovery.
The release also coincides with continued public interest in India’s wildlife successes, including the recovery of tiger numbers under Project Tiger and the absence of poaching in certain rhino populations. These outcomes rest on decades of enforcement, community involvement and habitat work rather than single events.
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Indian firm orders 20,000 NVIDIA Rubin GPUs for domestic AI factories
AM Intelligence, an AI infrastructure platform promoted by the founders of the renewable-energy company Greenko, has placed binding orders for an additional 20,000 NVIDIA Rubin graphics processing units. The chips will be deployed as Vera Rubin NVL72 rack-scale systems, adding 70 megawatts of capacity scheduled for delivery in the second quarter of 2027. The facilities are planned for India and Malaysia.
The new orders follow an August commitment for 9,000 Rubin GPUs at the company’s first AI factory in Hyderabad. Together the commitments total about 29,000 GPUs and nearly 100 megawatts, making AM Intelligence one of the larger early buyers of the Rubin generation outside North America. The company has indicated further plans to bring additional capacity to market, involving capital expenditure well beyond the amounts already committed.
The systems are intended to supply cloud providers, enterprises, and AI developers with frontier compute closer to the markets where models are built and used. The architecture combines the new GPUs with high-speed networking, advanced storage, high rack-power density and liquid cooling.
This private-sector commitment sits alongside government programmes that have expanded shared GPU access under the IndiaAI Mission and alongside tax measures designed to encourage data-centre investment. It also follows earlier announcements by global technology firms of large data-centre and AI-hub investments in India.
This order illustrates how Indian companies are moving from software and services into the physical infrastructure layer of AI. Access to next-generation hardware on this scale reduces dependence on distant compute and supports both domestic application development and export of AI-related services. The scale of planned expenditure also signals that private capital is available for power-intensive digital infrastructure when energy and site conditions are aligned.
The development reinforces the broader picture of rising AI-related investment noted in recent World Bank assessments, while remaining a distinct commercial decision by a specific firm. Delivery timelines and ultimate utilisation will determine the practical impact on available capacity.
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India prepares a more investor-friendly bilateral investment treaty model
India is finalising a revised model bilateral investment treaty intended to be more investor-friendly than the framework adopted in 2016. Finance Minister Nirmala Sitharaman has said the new template is ready and is expected to receive Cabinet approval shortly. Several agreements are anticipated in the coming months.
The 2016 model followed the termination of a number of earlier treaties. It required investors to exhaust local remedies for five years before seeking international arbitration, a provision that slowed new deals. Subsequent agreements, including those with the United Arab Emirates and Saudi Arabia, have already incorporated shorter exhaustion periods of three and two years respectively. The updated model is expected to codify such adjustments and provide clearer protection for investors from both sides while retaining policy space.
Negotiations continue with countries including Canada and others. Officials have indicated that three or more agreements could be concluded by the end of the year if talks progress. The review was announced in the 2025–26 Union Budget as part of efforts to attract sustained foreign investment.
Gross inward foreign direct investment has remained elevated, reaching a record in the previous fiscal year according to Reserve Bank data cited in recent reporting. Net figures have been more variable because of outward investment by Indian firms and repatriation by existing investors. A clearer and more predictable treaty framework is intended to support greenfield commitments.
Bilateral investment treaties set the ground rules for treatment of capital, dispute resolution, and protection against expropriation. A more workable model reduces one source of uncertainty and can facilitate larger or longer-term projects in manufacturing, energy, infrastructure, and technology. India’s decision to update the template after a period of limited new treaties signals a practical adjustment aimed at matching the country’s growth and investment needs.
The full text will become available after Cabinet approval. Until then, the direction of travel is clear from the minister’s statements and the terms already agreed in recent bilateral deals.
Five Stories, Chosen and Checked.
Each week Adieka selects and verifies five India developments from established Indian reporting so that readers outside the country can follow genuine progress without the volume of daily headlines. Membership supports that independent editorial work.