Nasscom expects India's digital talent gap to widen to ~29% in 2028 and says India needs 1M+ engineers with advanced AI and other skills over the next 2-3 years
Ruchi Bhatia / Bloomberg : X: @technology and @mihirkjha X: @technology : India's tech sector will need more than 1 million engineers trained in AI and other advanced skills over the next 2-3 years, an industry body estimates, but meeting demand won't be easy https://www.bloomberg.com/... Mihir Jha / @mihirkjha : While Teachers in India's most Populous states fighting with Govt for introducing digital attendance system; recent report suggests that India's tech sector will need more than 1 million engineers trained in AI & othr advanced skills over the next 2-3yrs https://www.bloomberg.com/...
Context & Ripple Effects
Nasscom had already identified an AI/ML and data-science talent crunch in 2023, with unfilled roles growing despite India’s large talent pool.
This forecast matters because it turns that earlier skills mismatch into a longer-horizon capacity problem: demand is concentrating in advanced technical roles rather than simply in the supply of engineering graduates.
First-order effects
- Indian technology employers face a larger recruiting and reskilling requirement for AI and other advanced-skill roles over the next two to three years.
- A projected 29% digital-talent gap by 2028 signals that available workers are unlikely to meet employers’ stated skills needs without substantial training and hiring changes.
Second-order effects
- Competition for experienced AI talent is likely to intensify among domestic IT firms, global technology companies, and startups, increasing the value of retraining programs and specialized hiring.
- Employers may shift more entry-level hiring toward roles with demonstrated AI, cloud, cybersecurity, or automation skills, rather than treating a general engineering degree as sufficient.
Third-order effects
- If the gap persists, India’s technology-sector advantage will depend less on graduate volume and more on whether education and employer training can produce deployable advanced skills.
- The pattern points to a bifurcated labor market: demand and pay concentrate in scarce specialist roles while routine entry-level work faces greater pressure from automation.
The trend: AI industrialization is reshaping tech labor demand from broad engineering headcount toward scarce, job-ready advanced skills.