India’s decades-long advantage in software services is at risk as AI-powered coding tools from OpenAI, Google, Anthropic and others rapidly increase in capability. Speaking at the Bengaluru Tech Summit, Abhishek Singh, Additional Secretary at MeitY and CEO of the IndiaAI Mission, delivered a blunt warning: if India does not upgrade its engineering talent fast, the IT sector could face its most serious disruption to date.
AI Coding Tools Are Reshaping the Global Tech Landscape
For decades, India’s position as the “tech garage of the world” was built on the large-scale availability of engineering talent and human-driven software development. Singh said that paradigm is shifting faster than companies are prepared for.
Modern AI coding systems — capable of generating production-ready code, conducting automated testing, and assisting with solution design — are already replacing large portions of routine engineering work.
“If we don’t turbocharge our engineers with AI skills at speed, India stands to lose a major part of its IT advantage,” Singh said.
He added that India’s competitive edge is now tied directly to how quickly organisations can upskill teams in AI development, data science, and advanced computing.
IndiaAI Mission Pushes National Upskilling Efforts
To address the skills gap, the IndiaAI Mission has launched several initiatives:
AI Fellowships across engineering, medicine, law, and the arts
State-supported Data Labs for training data annotators, analysts, and junior data scientists
YUVA: AI for ALL, India’s first free, nationwide AI literacy programme
AI Safety and Ethics Tools, including deepfake detection, bias evaluation, and AI stress testing under AIKosh
These initiatives aim to build foundational capability across students, early-career professionals, and mid-level engineers to prepare them for AI-native workflows.
Industry Must Move Faster, Says Singh
Singh stressed that the government can only push part of the transition — the rest must come from enterprises. The biggest risk, he said, is slow organisational response.
While India is investing in compute infrastructure and homegrown model development, companies cannot rely solely on external innovation. Upskilling existing engineering teams is non-negotiable.
India’s emerging LLM players, including Bengaluru-based Sarvam, are also advancing rapidly. Singh confirmed that Sarvam is close to launching its foundation model under the IndiaAI Mission, which funds all compute for selected projects.
The Choice Is Clear: Upgrade Talent or Lose Ground
Singh’s message to the industry was direct:
India’s strong position in global IT services will not survive on legacy strengths. AI-native software development is becoming the global standard, and organisations that fail to adapt will see their competitiveness erode.
AI coding tools are not optional add-ons — they are transforming development cycles, job roles, product velocity, and enterprise expectations. India must shift from labour-led delivery to AI-augmented engineering or risk falling behind competitors who adapt faster.
