How AI is Causing a White Collar Purge

0:00Sarah graduated top of her class with a finance degree. She applied to 247 entry-level jobs

0:06and got zero callbacks. Her roommate, a paralegal, was laid off - replaced by an

0:11AI that works for pennies. And she’s not the only. Hi, Josh here. And today on The Infographics Show,

0:16we’re explaining how AI is causing a white collar purge.

0:20In May 2025, Anthropic CEO Dario Amodei warned that AI could wipe out nearly half of entry-level

0:27white-collar jobs and push unemployment to 10–20% within five years. It’s a terrifying

0:33thought - especially when it’s coming from the guy that’s building the technology.

0:37That’s not some far-off science fiction. It’s reality.

0:40Amodei went so far as to claim the government should “stop ‘sugar coating’ what’s coming,

0:44namely, ‘the possible mass elimination of jobs across technology, finance,

0:48law, consulting, and other white-collar professions, especially entry-level gigs.”

0:53And the question is - will anyone stop it?. Ford CEO Jim Farley predicted AI would halve

1:00the number of white collar jobs. When the CEOs of Fortune 500 companies start

1:04throwing around phrases like “bloodbath” and “tsunami,” you know something is up.

1:08And the numbers? They back it up. This whole thing is still playing out,

1:12but early returns are eye-opening to say the least. In the first six months of 2025, almost

1:1878,000 tech job losses were directly attributed to AI. That’s over 400 highly qualified people losing

1:25their job… every single day. In January 2025, the U.S. Bureau of Labor Statistics reported

1:31the lowest rate of job openings in professional services since 2013, a 20% year-over-year drop.

1:38The bleeding isn’t theoretical. Based on an analysis of 180 million job postings,

1:44computer graphic artists fell 33% in 2025 after dropping 12% in 2024. Corporate compliance

1:51specialists dropped 29% in 2025. These are college-educated professionals with specialized

1:58skills whose prospects are melting away, not factory workers being replaced by robots.

2:04Remember when your parents told you to get a college degree for job security?

2:07We should probably talk about that. McKinsey, a leading consulting firm,

2:11estimated that generative AI could automate activities that currently represent between

2:1560 and 70 % of the working time in certain office occupations. Need a translation?

2:21Most of what entry-level workers can do can now be done by software… apparently.

2:26Customer service, naturally, was the canary in the coal mine. AI-powered chatbots already handle

2:31more than 85% of first-level support requests in large tech companies - up from 30% in 2020.

2:38Experts are predicting that number to rise to 90% by 2029, a staggering number. In just five years,

2:44the human touch is nearly gone. And it’s not stopping there.

2:48Salesforce CEO Marc Benioff confirmed his company cut another 4,000 customer service positions

2:53following the rapid integration of AI “agents” handling roughly 50% of customer interactions.

2:59Imagine walking into your first office job and discovering half your coworkers are software.

3:04Law firms might have thought they were safe behind their degrees and

3:07expensive suits. Well, they’re not. Tools like CaseText conduct legal

3:12research and draft contracts in minutes, a task that previously took a junior lawyer hours.

3:17Things are getting dire. Paralegals are now facing an 80% risk of automation by

3:22the end of 2026. Remember how lawyers used to bill $300 an hour for a first-year associate

3:28to review documents? AI will do a hundred thousand times more output for three bucks.

3:33Guess who’s winning that margin call? And the scale of change is staggering.

3:38The World Economic Forum projected that by 2027, approximately 83 million jobs could

3:43be lost globally due to AI and automation. A Goldman-Sachs report is estimating that

3:48300 million full-time jobs worldwide could see their jobs affected in some way by generative

3:53AI. In the U.S. specifically, up to 46% of tasks performed by entry-level employees

3:59could be automated in the next decade. That translates to roughly 10-12 million entry-level

4:04office jobs possibly vanishing overnight. Want to know what’s really happening? Just

4:09listen to what companies are actually doing, not what they’re saying in press releases.

4:14A few years ago, IBM’s CEO was stating that the company planned to halt hiring in almost

4:188,000 roles that could be replaced by AI. Human resources and administrative support were in

4:24the cross hairs - representing about 26,000 employees. In 2023, Accenture announced the

4:30cut of 19,000 jobs, mainly among non-billable and entry-level staff, while increasing its investment

4:36in training and deploying generative AI. Amazon is the latest to enter the entry-level

4:41apocalypse. They announced 16,000 corporate job cuts - half of the 30,000 eliminated since

4:46October, all in the name of AI and efficiency. For a company with 1.5 million employees,

4:52that may sound small - until you realize it’s 10% of the corporate hierarchy.

4:57Notice the pattern? Fire the humans, invest in the robots. It’s not even subtle anymore.

5:02JPMorgan’s managers have been told to avoid hiring people as the firm deploys

5:06AI across its businesses. That’s one of the world’s largest banks essentially saying,

5:11“We’re good on humans, thanks.” And things can get even more dystopian.

5:15If you’re a college undergraduate, now might be a good time to plug your ears.

5:19Internships, yes, that sacred American institution of getting coffee and making

5:24PowerPoints for college credit, is dying. Listings have fallen by more than 15%

5:29from January 2023 to January 2025. At the same time, applications have dramatically increased.

5:36The decline is even more severe in high-paying fields. Technology postings dropped by 30%,

5:41and professional services postings dropped by 42%. According to career site Handshake’s 2025

5:47Internship Index, the average applications per internship jumped to 109 for 2024–25,

5:54up from 62 the year before and 43 in 2022–23. That means internships are seeing around two-and-a-half

6:02times as many applicants as they did just 2 years ago. Internships in the tech sector were the most

6:07competitive with 273 applications per posting. That was followed by financial services at 192

6:14and professional services at 187. Internships are now a battlefield.

6:19The desperation has gotten so intense that AI and tough entry-level job markets are making

6:24it common for students to begin applying for internships as freshmen or sophomores.

6:29Why hire interns when AI can do the work? Companies are finding

6:32that young workers once essential for tasks like transcription, data labeling, or content

6:37moderation are no longer indispensable. And for those lucky few who actually

6:42land jobs? Things aren’t looking good. According to the Federal Reserve Bank of

6:46San Francisco, real wage growth in entry-level professional jobs fell by 1.8% in 2024. That’s

6:53in contrast to a 2.4% increase across the overall economy. So while everyone else is getting raises,

6:59entry-level workers are getting pay cuts. Because when there are 273 applicants for

7:04every tech internship, why pay more? Welcome to the new reality.

7:09And the math, in general, is just brutal. A 2024 MIT study found that the adoption of AI led

7:16to a 19% drop in job postings involving repetitive cognitive tasks. But for every new job created

7:22in AI, two to three junior jobs disappear or are never posted. So AI creates one $150,000 machine

7:30learning engineer position while eliminating three $50,000 entry-level analyst jobs. Sure, the total

7:36payroll might be similar, but tell that to the two people who never got hired in the first place.

7:41Every time someone predicts a job apocalypse, skeptics trot out the same argument. “They said

7:46this about the printing press, the steam engine, the computer!” Time and again,

7:50technologies that were supposed to wipe out whole categories of work ended up doing something

7:54quieter and stranger. They actually changed how people worked, without erasing the work itself.

8:00Jobs adapted, and roles shifted. New tasks appeared alongside old ones. Entire professions

8:05reorganized themselves around the new tools rather than being crushed by them. What survived

8:10was the work that required context, nuance, accountability, interpretation, and trust… the

8:16parts that machines are worst at owning. But what if this time is different?

8:20Whereas previous waves of automation such as spreadsheets supported human work,

8:24generative AI can perform entire tasks and workflows from start to finish

8:29without or with minimal human intervention. Spreadsheets didn’t do your accounting for you;

8:34they merely helped you do the accounting faster. AI actually does the accounting.

8:39That’s the leap. Anthropic’s research shows AI is currently being used mainly to help

8:43people do their jobs - a process known as augmentation. This will increasingly shift

8:48towards AI actually doing the jobs themselves - automation - in as little as a couple of years.

8:54Thinking we can talk our boss out of integrating a bunch of glorified chatbots? That trick may soon

8:59be over. AI agents - software programs that act autonomously to understand, plan, and execute

9:04tasks - are getting smarter by the day. They interface with existing tools and system networks

9:09as needed to fulfill user goals. These things don’t need bathroom or coffee breaks, health

9:15insurance or performance reviews. They just… work. But what happens when an entire generation can’t

9:20get entry-level jobs anymore? They’re about to become

9:23another casualty in an economic disaster unfolding in real time. AI could destroy

9:28the very architecture of professional careers. Entry-level positions matter. They teach skills,

9:34enable upward mobility, and keep the pipeline of talent flowing to mid and senior-level roles.

9:39Remove them, and the future workforce collapses.. Companies need senior employees. Senior employees

9:45with experience, judgment, and institutional knowledge. But those people don’t just

9:49materialize out of thin air. They start as nervous 22-year-olds making mistakes on small projects,

9:55learning the ropes by doing and building key skills over the years.

9:58If you eliminate all the junior positions, where do future senior employees come from? It’s like

10:04removing the minor leagues and wondering why you are not producing the same caliber of major

10:08league players in 10 years. And the immediate economic

10:10consequences are spreading fast. And you need to brace yourself for the fallout.

10:15Look no further than the student loan repayment predicament. As of December 2025, 1 in 3 borrowers

10:21are making payments more than 90 days late.One in five have stopped paying altogether. A

10:26projection from the Congressional Budget Office warned that if the current trend continues,

10:30student loan delinquency could rise even more. We are already on the precipice of what many

10:34are calling the “default cliff” - young people struggling to keep up and staring into the abyss.

10:40Students are told education is an investment in their future. Now

10:43that “investment” is actively shrinking their job prospects - as entry-level finance roles

10:48are automated faster than they can even apply. The unemployment rates for people aged 22-27 with

10:54at least a Bachelor's degree is consistently higher than the national rate. We’ve created

10:58a system where the more educated you are, the harder it is to find work. College is becoming

11:03a luxury purchase that decreases your employment prospects. That’s not how it was supposed to work.

11:08And the ripple effects compound. Unemployed graduates don't buy houses.

11:13They don't start families. They don't consume at the levels economists projected when they

11:17took out those student loans. They move back in with parents, delay major life decisions,

11:22and watch their savings evaporate - all while AI does the jobs they trained for.

11:26There are a few subset career paths that may well survive this AI-white collar purge. While software

11:32engineers have every reason to panic, plumbers and electricians are chilling. The data backs

11:37this up. Parents overwhelmingly point to trades as safer than digital roles; these roles are seen as

11:42AI-resilient, compared to their tech-field peers. And if you are entering the tech field, make sure

11:48you are the one learning to build the datacenters, not run them. Just ask Nvidia CEO Jensen Huang,

11:54who recently told the World Economic Forum that he foresaw “a lot” of six-figure jobs

11:58being unlocked as part of the unending AI data center buildout across the globe. It’s part of

12:03what he calls the greatest infrastructure project humanity has ever undertaken.

12:08Meanwhile, the United States is still short of hundreds of thousands of factory workers,

12:12construction workers, and auto technicians who remain in sharp demand.

12:16Turns out the real job security was the manual labor we looked down on along the way:

12:21The electrician who fixes the server farm has better prospects than the paralegal who

12:25got replaced by the server farm. So what is actually happening?

12:29Alarmists see a white-collar apocalypse. Skeptics point to past false alarms. But

12:33realists know most experts expect shrinking growth - or outright losses - by 2030.

12:39Still, unemployment has not spiked, and data is consistent with either a normal

12:43technological transition or the early stages of something far more disruptive.

12:47Which path will we be on in five years? Whether this becomes a catastrophe or

12:51just another economic transition depends on choices being made now about how we deploy

12:56this technology. How we distribute the gains, and what we do about the people left behind.

13:01And Sarah is still out there, 247 applications deep, watching AI chatbots send her automated

13:08rejection emails after one scan of her resume for jobs AI will eventually do entirely anyway. Her

13:14friend who went to trade school? She’s got three job offers and is currently

13:17negotiating with the one which pays the most. Guess who’s winning in this new economy.

13:22Now go watch AI Has Already Won, You Just Can't See It Yet. Or click on this video instead.