AI upskilling boosts salaries 150% on average in India: Scaler report
Synopsis
A new Scaler report reveals that AI upskilling is lifting average Indian salaries by 150% — but the real headline is who is benefiting: female QA engineers saw 574% gains, one in four learners now comes from a non-technical background, and nearly half of all AI-enabled career outcomes lie outside engineering entirely. The upskilling wave is reshaping India's workforce map, from Bengaluru boardrooms to Tier-II cities.
Key Takeaways
AI upskilling delivers an average salary increase of 150 per cent for professionals in India, according to a Scaler report released on 18 June 2025 .
Early-career professionals reported the steepest gains at 155 per cent ; VPs, CXOs, and engineering leaders averaged ₹33 lakh per annum post-upskilling.
Female QA engineers recorded the highest salary jump of any cohort at 574 per cent ; women overall reported a 145 per cent average increase.
Nearly 50 per cent of AI-enabled career outcomes now extend beyond engineering into leadership, consulting, HR, finance, and other business functions.
Almost 25 per cent of learners come from non-technical backgrounds; nearly one in five AI learners is now from a Tier-II city .
Bengaluru leads with 19 per cent of learners; software engineer is the top AI-enabled role at 34.77 per cent of outcomes.
Artificial intelligence (AI) upskilling is delivering transformative career gains across India, with professionals reporting an average salary increase of nearly 150 per cent, according to a report released on Thursday, 18 June by edtech platform Scaler. Notably, almost half of all AI-enabled career outcomes now fall outside traditional engineering roles, signalling a structural shift in how AI skills translate into employment.
Salary Gains Across Experience Levels
The report found that AI upskilling is accelerating compensation growth at every career stage. Early-career professionals recorded the steepest climb, reporting average salary growth of 155 per cent after acquiring AI skills. Senior professionals are also benefiting — VPs, CXOs, and engineering leaders reported the highest post-upskilling salaries, averaging ₹33 lakh per annum.
Women are emerging as significant beneficiaries of this shift. Female professionals reported an average salary jump of 145 per cent after transitioning into AI-enabled roles, while female quality assurance (QA) engineers recorded the most dramatic gains at 574 per cent — the highest of any tracked cohort in the report.
AI Moves Beyond Engineering
One of the report's most striking findings is the broadening of AI's career footprint. Nearly 50 per cent of AI-enabled career outcomes now extend into leadership, consulting, operations, human resources, marketing, finance, and academia — well beyond the conventional software and engineering pipeline. This comes amid growing employer demand for AI-literate professionals across business functions, not just technical departments.
Reinforcing this trend, nearly 25 per cent of learners on the platform now come from non-technical backgrounds, up from earlier cohorts where engineering graduates dominated enrolments. Consulting-related outcomes have nearly doubled, rising from 3.1 per cent at entry level to 5.65 per cent of overall professional outcomes.
Top Roles and City-Wise Distribution
Among specific career outcomes, software engineer remained the most common AI-enabled role, accounting for 34.77 per cent of outcomes, followed by engineering leadership at 17.51 per cent. Bengaluru continues to anchor India's AI talent ecosystem, contributing 19 per cent of learners, trailed by Pune, Hyderabad, Mumbai, and Chennai.
A notable geographic shift is also underway: nearly one in five AI learners now hails from Tier-II cities, including Lucknow, Jaipur, Patna, Indore, Coimbatore, and Nagpur — suggesting that AI upskilling is beginning to democratise high-income career pathways beyond metro centres.
What Industry Leaders Are Saying
Abhimanyu Saxena, Co-founder of Scaler, said AI is 'creating new pathways to opportunity, accelerating career growth and helping professionals achieve stronger compensation outcomes.' He added that the findings suggest AI is 'emerging as a creator of opportunities rather than a threat to jobs for those willing to develop relevant skills.'
What This Means for India's Workforce
The data arrives as India's broader technology sector navigates layoffs and automation anxiety. The Scaler report offers a counter-narrative: that deliberate AI upskilling, rather than passive exposure, is what drives meaningful income gains. Whether these salary figures hold at scale — as AI skills become more widely distributed — remains an open question that future cohort data will need to answer.
Point of View
But the Scaler data is self-reported by the platform's own learner base — a cohort already predisposed to positive outcomes. The more structurally interesting finding is the non-technical and Tier-II city surge: if AI upskilling is genuinely penetrating beyond metro engineering graduates, it could broaden India's high-income workforce in ways that previous tech booms did not. The female QA engineer figure — 574 per cent — deserves scrutiny as much as celebration; it likely reflects a very low starting salary baseline rather than a sector-wide wage correction. The real policy question is whether India's public skilling infrastructure can replicate what a private edtech platform is achieving for fee-paying learners.
NationPress
10 Aug 2026
Frequently Asked Questions
How much does AI upskilling increase salaries in India?
According to the Scaler report released on 18 June 2025, professionals who upskill in AI report an average salary increase of nearly 150 per cent. Early-career professionals see the steepest gains at 155 per cent, while senior leaders such as VPs and CXOs average ₹33 lakh per annum post-upskilling.
Which professionals benefit most from AI upskilling in India?
Female quality assurance (QA) engineers recorded the highest salary gains at 574 per cent, the largest of any cohort tracked in the report. Women overall reported an average salary jump of 145 per cent after transitioning into AI-enabled careers.
Is AI upskilling only for engineers and technical professionals?
No. The report found that nearly 50 per cent of AI-enabled career outcomes now extend beyond engineering into leadership, consulting, HR, marketing, finance, and academia. Around 25 per cent of learners on the platform now come from non-technical backgrounds.
Which Indian cities are leading in AI upskilling?
Bengaluru leads India's AI talent landscape, accounting for 19 per cent of learners, followed by Pune, Hyderabad, Mumbai, and Chennai. Notably, nearly one in five AI learners now comes from Tier-II cities such as Lucknow, Jaipur, Patna, Indore, Coimbatore, and Nagpur.
What are the most common AI-enabled career roles in India?
Software engineer is the most common AI-enabled role, accounting for 34.77 per cent of career outcomes tracked in the Scaler report. Engineering leadership is the second most common at 17.51 per cent, while consulting-related outcomes have nearly doubled across experience levels.
