AI could disrupt India's outsourcing model. It could also create millions of new exporters

retained text

AI could disrupt India's outsourcing model. It could also create millions of new exporters
AI is letting small Indian teams win global work that once needed a big company. As AI separates capability from headcount, it could shape India’s next export story.
I recently spoke to someone running a small creative agency from a Tier II Indian city, with most of his clients outside India. When AI came up, I expected him to talk about producing more content, faster. What he described was more interesting.
Rotoscoping, repetitive edits and parts of project management were now largely automated. His tiny team now takes on projects that once needed outside freelancers.
This is usually told as a productivity story. I think something more fundamental is happening: AI is changing how big a company must become before it can sell sophisticated services to the world.
For India, that is both an opportunity and an uncomfortable question.
The model that built India's services industry is changing
India’s services exports reached $421.3 billion in FY26, up from $387.5 billion a year earlier, with IT and business services the largest contributors. For three decades, the IT services industry ran on a simple equation: win more customers, hire more people.
AI challenges that. Coding, testing, research, documentation and customer support are the backbone of Indian outsourcing, and they are exactly where AI is improving fastest.
NASSCOM estimates that India’s tech industry earned $10-12 billion from AI services in FY26, while overall revenue grew 6.1% to $315 billion. Hiring continues, but total headcount rose just 2.3%. The link between revenue and people is loosening.
That threatens a model built on selling human capacity. Seen from a five-person company, the same shift looks very different.
AI reduces the minimum scale needed to compete
Small services firms have always faced a capacity problem: winning a large project meant building the organisation to deliver it. AI is beginning to separate capability from headcount.
I saw this first-hand when I spoke to the founder of a growth-marketing firm with 15 people and 22 AI agents, serving clients across more than seven countries. Its founder sorts every task into three buckets. Manual tasks, such as discovery calls, are deliberately kept away from AI. In AI-assisted tasks, AI does 85-95% of the work and a person checks the rest. Fully automated tasks, such as market research, run end to end and the only human step is sending the report to the client. About 40% of the firm’s budget goes to AI agents and software rather than headcount. The founder says it runs at 60-70% margins, against 20-25% for a typical agency.
Even discovery has changed. One UK client told the same growth-marketing founder that he found, evaluated and signed the firm within a single Perplexity chat.
We are beginning to see this from the payment layer
Building in cross-border payments, we see thousands of Indian businesses being paid from abroad, and what stands out is how small many of them are. Over the last 12 months, 347 solo professionals each collected more than $100,000 from overseas clients, and 117 teams of two to ten people each crossed $250,000.
The base is widening too. Exporters actively billing overseas customers each quarter grew roughly fivefold over seven quarters, from about 2,800 to 13,900. Some of that growth reflects more businesses coming onto our network, not just new exporters entering the market. But the median invoice stayed near $1,500 throughout, which suggests many more people are selling, rather than a few landing bigger deals. Eighty-two per cent of these exporters have ten or fewer people.
Exporters in AI, machine learning, data or automation grew about ninefold, and their median invoice is nearly double. They are roughly 2% of volume, so this is a direction, not yet a trend. One of them, a solo AI and machine-learning consultant, billed about $266,000 to US clients in 12 months from just four buyers. That is not typical, but a decade ago that work would have needed a firm.
Selling expertise, not capacity
If India’s response to AI is simply to perform the same outsourced work with fewer people and charge customers less, we may improve productivity without fundamentally improving our position in the global value chain.
The larger opportunity is to move from selling capacity to selling expertise and outcomes.
AI can analyse 500 customer conversations. It cannot independently decide which customer problem a business should build its future around. It can generate software. Someone still has to understand what should be built, how it fits into a customer’s organisation, and take responsibility when it doesn’t work.
The value increasingly lies in asking the right questions, applying domain knowledge, exercising judgement and owning the result.
This may actually make deep expertise more valuable, not less. Consider the Indian professional who has spent 15 years understanding insurance claims, semiconductor design, pharmaceutical regulation, supply chains or financial risk. That person can now combine their domain knowledge with tools that dramatically expand what one person can execute.
India has no shortage of such people. According to the Economic Survey 2024-25, the country accounts for 28% of the world’s STEM workforce and 23% of global software engineering talent. New kinds of work are already emerging. I find this example striking: a medical professional in Kochi spends her week marking organs and flagging anomalies in foetal ultrasound scans. She isn’t treating patients directly; she’s helping train AI systems being built for hospitals in the US.
A five-person global company cannot have a 50-person back office.
There is one problem.
India’s export framework was designed for firms with finance teams. Proof-of-export documentation, GST filings, foreign exchange conversion and bank reconciliation all assume someone in the back office is handling them.
A five-person firm billing clients in California and London, in multiple currencies, has no such person. Yet it may have hundreds of thousands of dollars moving across borders every year.
If AI shrinks the team needed to deliver the work, but the founder still loses hours each month to paperwork and compliance, the bottleneck has simply moved. Regulators, banks and the wider fintech ecosystem need to make cross-border compliance as lightweight as the businesses it now serves.
India’s next services giants may not look like giants
India’s first services-export era was built by assembling millions of skilled people into large organisations. That model isn’t disappearing. But the next phase may look much less concentrated: thousands, perhaps eventually many more, of specialist Indian businesses selling their expertise to the world.
The agency I spoke to is interesting not because AI helps it edit videos faster. It is interesting because a handful of people in an Indian city can now compete for work anywhere in the world.
Twenty-five years ago, India's services-export breakthrough was partly about proving that global work could be done from India.
The AI-era opportunity may be proving that you no longer need to build a large company to do a large amount of it.
Srivatsan Sridhar is Co-Founder and CEO of Skydo.
Edited by Affirunisa Kankudti
(Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the views of YourStory.)

document fetched 2026-11-14 03:05