For more than three decades, India has been one of the world’s leading destinations for outsourced work. Call centres may be the best known example, but international businesses have also used Indian employees for software development, IT support, data processing, accounting, customer service and other back office functions.
The relationship between India and AI could now take this outsourcing model considerably further. Rather than simply providing large teams of lower cost employees, India is preparing to export AI enabled services operated by smaller and more technically skilled teams.
These services could be supplied to almost any country or industry where white collar employees command comparatively high salaries. Businesses may be able to combine AI automation with India’s lower employment costs, large graduate workforce and decades of experience serving international clients.
AI recruitment is already rising in India
This is no longer based entirely on forecasts. India is already experiencing a noticeable change in technology recruitment.
According to a July 2026 report from Reuters, recruitment for AI positions within India’s technology sector increased by 16 per cent over the previous year. Overall recruitment across the Indian IT sector fell by 3 per cent during the same period.
That contrast tells us something important. India is not simply expanding its existing technology workforce. Companies are beginning to replace some traditional software and outsourcing roles with positions in AI engineering, data science, automation, cloud technology and AI product development.
India’s AI talent pool has been forecast to grow from approximately 600,000 to 650,000 professionals to more than 1.25 million by 2027. That does not necessarily mean that 600,000 completely new jobs will be created. Many existing technology employees will be retrained or have their positions reclassified as AI roles. Nevertheless, it represents a significant concentration of AI skills in one country.
India’s technology industry is changing direction
According to NASSCOM, India’s technology sector is expected to exceed $315 billion during the 2026 financial year. The industry is increasingly moving away from growth based mainly on the number of people employed and towards higher value services, innovation and AI.
The traditional Indian outsourcing model was built around supplying large numbers of comparatively inexpensive workers. An international company might previously have transferred a customer service, administrative or technology function to a team of several hundred people in India.
AI changes the economics of that arrangement. The same provider may soon be able to deliver the work using an AI platform supervised by a much smaller group of technically skilled employees.
India could therefore provide an even cheaper service while employing fewer people for each individual contract. Its overall AI workforce may still grow because the country will be supplying these services to thousands of businesses around the world.
What AI services could India provide?
India is unlikely to compete directly with the largest American technology companies by spending vast amounts developing foundation models from the beginning. Its greater opportunity lies in taking existing technology from companies such as OpenAI, Microsoft, Google and Anthropic and turning it into practical business services.
Indian providers could build AI agents that answer customer enquiries, prepare reports, reconcile accounts, process claims, conduct research and review large collections of documents. They could integrate AI into the systems already used by banks, retailers, law firms, accountants, insurers, healthcare providers and international businesses.
India could also supply the employees required to prepare company data, test AI systems, monitor their decisions and intervene when an automated process goes wrong. Other services could include cybersecurity, fraud detection, regulatory testing, cloud management and maintaining AI applications after they have been introduced.
AI assisted software development will be another major opportunity. Indian teams could use AI to write, test and update software considerably faster than before. This would allow them to provide international clients with more work while using smaller teams.
Marketing material, translations, financial analysis, management reports, images, videos and customer communications could also be produced or reviewed in India. These services can be supplied remotely to almost any country without the team being physically located beside the client.
Global Capability Centres are becoming more important
A growing number of multinational businesses are establishing their own Global Capability Centres in India. These are not conventional outsourcing companies. They are operations directly controlled by international businesses and staffed by Indian employees.
India currently has approximately 1,800 of these centres, with forecasts suggesting that the number could reach 2,400 by 2030. Their annual export revenue has been estimated at $64.6 billion and is forecast to reach approximately $110 billion within five years.
The work conducted inside these centres is also changing. They increasingly handle product development, financial analysis, fraud prevention, research, cybersecurity and AI development rather than only basic administration.
Revolut offers a striking current example. The financial technology company announced in March 2026 that it expected 40 per cent of its global workforce to be based in India by the end of the year. It plans to increase its Indian workforce to approximately 5,500 people, including positions covering product development, payment processing, transaction monitoring, fraud investigations and AI generated alerts.
This demonstrates how a company can retain its headquarters and senior management elsewhere while moving a substantial proportion of its worldwide technical and operational activity to India.
Why India is so attractive
India has several advantages that few other countries can currently match. It has an enormous workforce, a large supply of technology graduates, widespread English language capability and salaries that remain considerably lower than those in Western financial and business centres.
It also has decades of experience working for international clients. Indian technology companies already understand Western banking systems, accounting processes, customer service operations and regulatory expectations.
The time difference can be another advantage. Work can continue in India outside European and American business hours, allowing some services to operate almost continuously. The scale of the Indian workforce also makes it easier for companies to increase capacity without recruiting large numbers of expensive local employees.
India is also building the infrastructure needed to support these ambitions. In August 2026, Microsoft opened its largest Indian data centre hub in Hyderabad. Microsoft has committed approximately $20.5 billion to expanding its Indian operations, reflecting the expected growth in cloud computing and AI demand.
India can therefore combine AI technology with experienced professionals and lower operating costs. That is likely to make its services extremely attractive to businesses under pressure to reduce expenditure and improve productivity.
The employment forecasts need to be treated carefully
Some forecasts suggest that AI could help create as many as four million jobs in India by 2030. These predictions should not be interpreted as four million additional AI engineers.
The figures include new technical positions, existing employees whose work becomes AI enabled and jobs created indirectly as the industry expands. They also depend upon businesses continuing to invest, employees receiving the necessary training and India attracting enough international contracts.
There is another side to the story. NASSCOM has warned that India could face around 1.5 million job losses by 2031 if it fails to manage the transition successfully. Entry level programming, software testing, data processing and customer support positions are particularly vulnerable.
Reuters reported in May 2026 that international companies operating in India were becoming more selective and increasingly wanted employees with at least four years of experience. AI can now perform some of the basic work traditionally given to graduates, making it harder for young people to enter the industry and acquire that experience.
India may consequently create highly skilled AI positions while losing or failing to create a much larger number of routine jobs.
India will not be the only lower cost provider
African countries could also become important providers of AI enabled services. Many have young populations, improving digital infrastructure, relatively low employment costs and large numbers of people who speak English or French.
Countries including Kenya, Nigeria, South Africa, Ghana, Rwanda and Egypt could attract international work involving data preparation, customer support, software development, content review and human supervision of AI systems.
Africa may offer even lower operating costs in some locations. However, India currently has the advantage of a much larger established technology industry, extensive digital infrastructure, decades of outsourcing experience and strong relationships with multinational businesses.
This could eventually produce competition between India, Africa and other lower cost regions for the worldwide supply of AI enabled services. That competition could reduce prices even further.
The pressure will extend across higher cost economies
The implications extend far beyond financial centres. Any country or industry where white collar employees command relatively high salaries could use AI enabled services operated from India or another lower cost region.
Businesses could retain senior management, client relationships and final decision making locally while transferring more research, analysis, document processing, software development, customer support and administrative work abroad.
Until now, companies often had to choose between employing local staff and outsourcing work to another country. AI allows them to combine both forms of cost reduction.
A business could automate much of a process and then place the remaining development, monitoring and support work in India. It would no longer need to choose between AI and outsourcing because it could use AI powered outsourcing. Indian teams could also provide human backup when automated systems fail, encounter unusual cases or require further checks, while replacing some of the more expensive local employees no longer needed for routine automated work.
The attraction is obvious. A company could gain access to AI technology and experienced employees without building an equivalent technical workforce locally. Smaller local teams could potentially produce the same or a greater amount of work.
The effect may initially be difficult to see
Businesses may describe this change as improving efficiency rather than reducing employment. The effects are likely to appear through recruitment freezes, vacancies left unfilled, smaller graduate intakes and work being consolidated into fewer positions.
This makes the change less visible than a major redundancy announcement, but it does not make its employment consequences any less real.
The greatest pressure could fall on people entering white collar professions. If AI and overseas teams complete the preparatory work previously given to junior employees, businesses may have fewer reasons to recruit and train them.
This also creates a longer term problem. Companies may continue to need experienced professionals, but the traditional route through which people gain that experience could gradually disappear.
India could be one of AI’s biggest winners
India is vulnerable to AI because so much of its economy depends upon technology services and outsourced office work. At the same time, it is better positioned than most countries to turn that disruption into a new export industry.
The country is moving from selling inexpensive human labour to supplying AI enabled business operations. These services could be faster, cheaper and available to companies worldwide.
The biggest winners may be Indian businesses that successfully combine AI with skilled employees. African countries and other emerging economies could also secure a growing share of this work as their digital infrastructure and technical workforces develop.
The biggest losers could be routine workers in those countries and more highly paid employees elsewhere whose work can be automated or transferred.
The important question is therefore not simply how many AI jobs India will create. It is how many jobs in higher cost economies Indian AI services will allow international businesses to operate without.
Finally, trust and security will be essential
Transferring AI operations to any overseas provider introduces questions about data protection, cybersecurity and accountability. Businesses will need strong background checks, independent security audits, tightly controlled access to sensitive information and clear responsibility when automated systems fail.
Lower costs will not be enough. Providers in India, Africa and every other emerging AI services market will need to demonstrate that they meet recognised international standards and can be trusted with commercially sensitive information and customer data.
Sources include Reuters reports published in March, May, July and August 2026, NASSCOM’s Technology Sector in India Strategic Review 2026, NITI Aayog’s Roadmap for Job Creation in the AI Economy and EY India’s research into generative AI and workforce productivity.
This article has been compiled using current news reports, industry research and employment forecasts available in August 2026. It is an assessment of how current trends may develop and should therefore be treated as a prediction rather than a statement of certain future outcomes.