16% of jobs in two types already wiped out? Stanford has the answer! [EP514]

Stanford Study Finds AI Is Already Cutting Entry-level Jobs—Here’s What You Need to Know

Stanford reveals how AI has already wiped out 16% of jobs in key sectors. Discover shocking research on automation, job loss statistics, and the future of work in 2025.

The Stanford AI job loss study 2025 reveals shocking insights into how artificial intelligence is transforming the workplace. According to the Stanford University report, nearly 16% of jobs have already been replaced by AI in certain industries, raising serious questions about the future of work and the role of automation in our economy.

In this video, we break down the AI automation job loss statistics, explore which sectors are most at risk, and explain the findings of the Stanford study on disappearing jobs. From office tasks to technical roles, AI is rapidly changing employment patterns worldwide.

If you want to understand how technology is reshaping careers and what the future of jobs looks like, this video gives you the facts backed by trusted research. Stay informed and get ahead of the curve by learning what AI-driven automation means for workers and industries in 2025 and beyond.

* What is the study?*

Conducted by Stanford’s Digital Economy Lab (Brynjolfsson, Chandar, Chen), this groundbreaking research analyzed ADP payroll data (the U.S.'s largest), covering late 2022 to mid‑2025, to measure AI’s real-world labor impacts. It's the first large-scale empirical evidence showing generative AI’s early job elimination effects.
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* How it was conducted:*

Focused on employment trends for 22–25-year-olds in highly AI-exposed roles—like customer service, software development, and administrative work.

Compared them to older workers and employees in less exposed sectors, while controlling for remote work, economic factors, and firm variations.

* What the data showed:*

A dramatic 13% relative drop in entry-level employment since generative AI’s rise.

Older workers in the same fields had stable or even increasing job rates—suggesting AI is augmenting, not replacing, experienced staff.

Wages stayed flat—indicating displacement, not just reduced pay.

Why this matters:

Entry-level jobs aren’t just paychecks—they’re training grounds where young workers build professional skills.

As a UC Santa Barbara professor warned: “These jobs are how you learn to be a professional—if AI wipes them out, we're losing tomorrow’s leaders.”

* Mitigation ideas proposed by authors:*

Invest in reskilling programs targeting younger workers to prepare them for dynamic AI-driven jobs.

Government and organizations need strategic workforce planning, to ensure AI augments rather than obliterates career pipelines.

* Bottom Line:*

This study isn’t speculation—it’s the strongest evidence yet that AI is reshaping the job market right now. Entry-level roles are vanishing, with ripple effects already hurting Gen Z’s career outlook and future leadership.

The rise of AI is no longer a prediction—it’s happening now. With the Stanford AI job loss study 2025 showing that 16% of jobs are already replaced by AI, it’s clear that automation is reshaping industries faster than expected. The future of work depends on how we adapt to these changes and prepare for the opportunities that AI brings.

If you found this video helpful, don’t forget to like, comment, and subscribe to stay updated on the latest AI automation job loss statistics, future of work insights, and groundbreaking Stanford University reports. Your engagement helps this channel grow and ensures you never miss the latest updates on technology, jobs, and innovation.


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