New data from ADP and the Stanford Digital Economy Lab reveals stark employment trends in AI-exposed occupations. Employment among workers ages 22-25 in AI-exposed occupations declined 4.2% as of April compared to a year earlier, while workers in less-exposed fields experienced only a 1.7% decline. According to ADP chief economist Nela Richardson, this pattern demonstrates that AI impacts employment at the task level rather than occupational level, requiring microscopic analysis of specific job functions. The data shows that employment in AI-exposed jobs for workers of all ages dropped just 0.2% in April, while employment in less-exposed fields grew 0.1%, highlighting the nuanced impact across different age groups and job categories. Recent developments show Goldman Sachs found enrollment in computer science and programming each fell by more than 10% in the 2025-2026 academic year, marking the first clear evidence that college students are steering away from AI-exposed majors toward safer fields.
Artificial intelligence is no longer confined to software engineering roles, with over 50% of career outcomes now expanding into leadership, consulting, operations, marketing, finance, and other business functions. According to the latest 'India AI Workforce Report 2026' by Scaler based on insights from 11,444 professionals, AI is increasingly being used by professionals across industries to improve productivity and accelerate career progression. The report reveals that nearly 25% of learners now come from non-technical fields, signaling AI's growing relevance beyond traditional engineering careers. As reported by Scaler, AI upskilling is delivering significant salary growth across all experience levels, with early-career professionals seeing the largest percentage gains and experienced professionals achieving the highest absolute salaries. The latest analysis shows that software engineers are expected to understand infrastructure, data scientists are becoming product thinkers, and security professionals are evaluating AI-specific threats, creating a workforce where collaboration matters as much as specialization.
Women are significantly expanding AI's footprint beyond engineering, emerging as key contributors across HR, academia and marketing functions with women reported an average 145% salary jump after transitioning into AI-enabled careers. According to the latest 'India AI Workforce Report 2026' by Scaler, female QA engineers recorded the sharpest gains at 574%, demonstrating the transformative impact of AI on women's career trajectories. The report shows that women are advancing into high-growth AI pathways, with their participation expanding across multiple functions beyond traditional engineering roles. Women now have increased participation in various AI roles including Data analyst (24%), Intern or student (31%), Technical support (31%), Marketing (33%), Academia (37%), and HR (41%). As reported by Scaler, AI learning is opening new career pathways for women to enter and thrive in technology workforce, enabling them to break into roles that were previously less accessible.
According to the Scaler report, nearly one in five AI learners now comes from Tier-II cities, signaling the spread of AI talent across India. The latest data shows learners coming from cities like Lucknow, Jaipur, Patna, Indore, Coimbatore, Nagpur, and Chengalpattu, signaling the growing democratization of AI talent across India. While Bengaluru continues to lead India's AI talent landscape with 19%, followed by Pune, Hyderabad, Mumbai, and Chennai, the geographic distribution shows significant expansion beyond metropolitan areas. The report points to a widening talent pool with increased participation from non-technical professionals, learners from Tier-II cities, and women advancing into high-growth AI pathways. As per Scaler, access to AI education and remote work opportunities is helping bridge the historical gap between metropolitan and non-metropolitan talent pools.
AI upskilling delivered significant career gains, with professionals reporting an average salary increase of 147% and early-career professionals seeing growth of 155%. According to the latest 'India AI Workforce Report 2026' by Scaler, nearly 25% of AI learners come from non-engineering fields, indicating that AI is rapidly evolving from a specialist technology skill into a mainstream workforce capability. Professionals with six to nine years of experience saw average compensation increase by 140%, while those with nine to 12 years of experience reported average salaries touching ₹38 lakh annually after AI upskilling. The report underlines how AI is reshaping India's leadership pipeline, with nearly 27% of AI-enabled outcomes recorded in leadership roles including engineering, data science and data engineering leadership. Software engineering remains the most common AI career outcome at 35% of placements, followed by leadership roles representing over 17% of outcomes. Consulting has emerged as another major beneficiary, with the share of consulting outcomes nearly doubling from 3.1% among learners to 5.65% among post-upskilling professional outcomes.
