ILLUSTRATION: ALISA STERN/SHUTTERSTOCK/SEVENTYFOUR/EARLY SPRING
FOR A moment, forget the hype. Nepal’s digital-services exports are indeed surging. Consultancy earnings jumped by nearly a quarter in the first half of this fiscal year. The country has even cracked the global top 20 in outsourcing competitiveness. In theory this looks like a classic development success: a poor country leveraging its cheapest asset—ie, labour—to climb the value chain. But open the hood and the engine looks worryingly fragile. Nepal is monetising a temporary wage gap, and not building a durable knowledge economy. And that gap is closing fast.
The lure is obvious. A junior developer in Kathmandu costs $15-25 an hour. His counterpart in Eastern Europe charges $50-80, and in America $100-200. On labour costs alone, Nepal scores 96 out of 100 in one global ranking. That single metric powered the country’s entire entry into the top 20.
But what happens when cheap labour is no longer the deciding factor? The global outsourcing market, worth over $1trn, is entering an era that rewards intelligence ecosystems and AI fluency, as well as institutional reliability, not merely the lowest bidder. On those measures, Nepal is worryingly weak. Its digital-infrastructure score languishes at 40. Its business and legal environment scores 50. And it still lacks a comprehensive data-protection law, a basic ticket to the high-margin end of the market.
The bigger threat is staring everyone in the face: artificial intelligence. Already generative AI is compressing demand for the very tasks where Nepal excels. Call centres, basic coding, data labelling: all are being automated at speed.
McKinsey, a consultancy, estimates that AI could handle 60% of routine programming and half of customer-service work. Already India’s giant IT firms are slashing junior headcount. TCS, the bellwether, plans to cut over 12,000 jobs. Between 2021 and 2025, India’s top five IT firms hired 90% fewer people in some quarters. They are producing more with fewer hands. Nepal’s government ranks 150th globally in AI readiness. Its universities barely teach AI literacy. The country is training workers for jobs that may not exist in five years.
Yet the most damaging weakness is home-grown. Nepal’s education system churns out graduates whose skills do not match market needs. Industry insiders reckon that 85% of IT graduates need six to nine months of extra training before they are useful.
Many then leave the country. In the first ten months of the fiscal year, over 700,000 young Nepalis departed for work abroad. Increasingly those leaving are not just going to Gulf construction sites but to software jobs in Australia, Canada as well as Europe. Nepal is trying to build a knowledge-services economy while exporting its most capable knowledge workers. That is a paradox without an easy solution.
The government talks a good game. It has a Digital Nepal Framework; a 100-point reform plan; and a target of exporting IT services worth $30bn over the next decade. But the gap between ambition and action remains cavernous. Tax rules for freelancers are unclear. VAT on exported services discourages formalisation. Freelancers still use Payoneer and cryptocurrency because the banking system makes receiving $500 from an American client a bureaucratic nightmare.
Meanwhile competitors are not standing still. Kenya’s BPO sector is growing at 19% a year. The Philippines employs 1.9m workers and accounts for nearly 9% of GDP. Vietnam is upgrading its STEM education with strategic intent.
Nepal faces a binary choice even if the transition will be messy. One path leads to becoming a low-cost labour reservoir for a global industry that will increasingly not need low-cost labour. That is the easy path.
The other requires a difficult shift towards specialised, high-trust, AI-augmented services: health-tech support, cybersecurity, legal process outsourcing, advanced accounting. That means fixing the education pipeline, passing a real data-protection law, stabilising tax policy and convincing global clients that Nepal is reliable and not just cheap.
The raw material exists: a young, English-proficient workforce (scoring 514 on the EF index); a diaspora with global ties; and an entrepreneurial culture that has already built a billion-dollar informal digital sector. But raw material is not finished capability. And the window of opportunity is narrower than most policymakers in Kathmandu care to admit. Cheap labour opens the door. It will not keep it open for long. ■
