Is AI eliminating jobs, and whose? Bharat Chandar built the first large-scale evidence base on AI's employment effects, and he shows leaders what the data says about their own workforce.
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About Bharat Chandar
Bharat Chandar works on understanding AI's impact on work. With Stanford colleagues Erik Brynjolfsson and Ruyu Chen, he co-authored "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence." The research tracks entry-level employment changes in jobs exposed to AI, giving leaders an early signal of how the technology is reshaping hiring.
Chandar's ongoing research asks the questions executives are asking. How will workers adjust if AI-driven changes in hiring arrive, and which workers will need the most support? How can AI make it easier for people to learn new things and pursue new forms of work? And how will AI's impacts differ across the world? He has also surveyed the state of knowledge on AI and labor markets, separating what researchers know from what remains uncertain.
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For decades, organizations built their leadership pipelines the same way: hire entry-level talent, develop them through foundational roles, and watch them grow upward. AI is quietly dismantling that model. According to Bharat Chandar, labor economist and postdoctoral researcher at Stanford’s Digital Economy Lab and Stanford Institute for Human-Centered Artificial Intelligence, the entry-level roles through which companies have historically identified and developed future leaders are already declining, and so is the traditional career ladder. In this forward-looking presentation, Chandar introduces the career lattice, a reimagined structure in which workers move laterally, build skills across functions, and chart meaningful paths that no longer depend on a linear climb. He shows organizations how to redesign onboarding, mentorship, and rotational programs to sustain talent development in an AI-exposed world. CLOs and heads of leadership development will leave with a concrete framework f
The debate over AI and employment has been filled with speculation, competing predictions, and noise—but what has been missing is hard evidence. Bharat Chandar, labor economist and postdoctoral researcher at Stanford’s Digital Economy Lab and Stanford Institute for Human-Centered Artificial Intelligence, is one of the economists filling that gap. Drawing on high-frequency payroll data from ADP covering millions of U.S. workers, his landmark research reveals a 13 percent relative decline in employment for early-career workers in AI-exposed occupations since 2022, with the steepest effects in software development and customer service. This is evidence that AI is already reshaping hiring, not just threatening to. In this data-driven presentation, Chandar helps senior leaders distinguish between AI that automates tasks and AI that augments workers, identify which parts of their organizations are most exposed, and design the reskilling programs, redesigned career pathways, and talent strate
Articles by Bharat Chandar
Bharat Chandar's Substack, What's Next
Stanford Digital Economy LabHow Does AI Change Labor Demand? Evidence from 41 Countries
September 2026LawfareWhy We Opted Not to Work at the AI Labs
September 2026Stanford Digital Economy LabNo Widespread Displacement, but the AI Employment Gap for Young Workers Has Widened to 19%
August 2026Stanford Digital Economy LabCanaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
2025SSRNShifts in the Composition of College Workers: Implications for US Inequality and Labor Demand
2025National Bureau of Economic ResearchThe Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment
2019Media
Explore allBharat in the Media
Bloomberg
AI Adoption Is Driving Hiring, But Mostly for Senior Roles
Forbes
Real-World Experience Is A Hedge Against AI Displacement, Study Suggests
Fortune
Exclusive: Stanford and ADP have new payroll data on Gen Z women losing ground to men in the job market—and AI isn’t the main culprit
Project Syndicate
Winners and Losers in the AI Workplace
Stanford Digital Economy Lab
AI and Labor Markets: What We Know and Don’t Know
CBS News
New study sheds light on what kinds of workers are losing jobs to AI
TIME
A New Stanford Analysis Reveals Who’s Losing Jobs to AI
AI’s first losers are young workers
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