Originally published at news.skila.ai
Oracle terminated 30,000 employees via a 6 AM email on March 31, 2026. No warning from HR. No meeting with their manager. Just a message from "Oracle Leadership" telling them the day of the email was their last day.
The reason was not that AI learned to do their jobs. The reason was that Oracle needed $8 to $10 billion in cash to build GPU data centers. TD Cowen estimated the layoffs free up capital for AI infrastructure spending. Oracle has committed to $156 billion in total AI capital expenditure.
This is the biggest lie in tech right now. The narrative says AI is taking your job. The data says companies are firing humans to fund AI. Not because it works. Because they are betting it might.
The Oracle Numbers Tell the Real Story
Oracle posted a 95% jump in net income last quarter: $6.13 billion. Remaining performance obligations hit $523 billion, up 433% year over year. This is not a company in trouble. This is a company that decided $156 billion in AI infrastructure matters more than 18% of its workforce.
Oracle fired 30,000 humans to build servers for other AI companies — OpenAI, Meta, and Nvidia. Not because Oracle's AI replaced those 30,000 roles. Because Oracle wants to sell infrastructure to companies building AI.
CNN Investigated. Found Zero Evidence.
On March 31, CNN published an investigation titled "Big Tech promised AI would disrupt labor — just not like this." The conclusion: there is no evidence AI is meaningfully replacing workers at scale.
CNN examined radiology — the field predicted to be automated first. The Bureau of Labor Statistics projects radiology employment will grow 5% from 2024 to 2034, higher than the 3% average across all occupations.
Harvard Business Review Confirmed It
HBR surveyed over 1,000 executives. Finding: only about 2% of organizations reported layoffs tied to actual AI implementation. Two percent. The other 98% of AI-attributed layoffs were based on anticipated benefits, not proven productivity gains.
The Dallas Fed Data
The Federal Reserve Bank of Dallas found total U.S. employment has increased approximately 2.5% since ChatGPT launched in fall 2022. More Americans are working today than before generative AI existed.
But here is the nuance: wages in AI-exposed sectors are rising. Nominal average weekly wages nationwide increased 7.5% since fall 2022. In the computer systems design sector, wages rose 16.7%. AI automates codified knowledge tasks but complements tacit knowledge. Senior workers become more valuable. Junior workers become more replaceable.
The Three Myths and Three Realities
Myth 1: AI is replacing jobs at scale.
Reality: Total U.S. employment is up 2.5% since ChatGPT launched. Only 2% of organizations report layoffs tied to actual AI implementation.
Myth 2: Tech layoffs are caused by AI automation.
Reality: Oracle fired 30,000 people to fund data centers, not because AI does their jobs.
Myth 3: Every industry will be disrupted equally.
Reality: Radiology employment is projected to grow 5%. Wage growth in AI-exposed sectors outpaces national averages by 2x.
What This Means for Developers
The risk is not that an AI can do your job today. The risk is that your company's CEO will fire you to fund an AI project that might do your job in three years.
Build tacit knowledge that cannot be easily documented or handed to an AI: institutional understanding, relationships, and contextual expertise. The Dallas Fed research confirms workers with tacit knowledge see higher wages in AI-exposed sectors.
Thirty thousand people did not get replaced by machines. They got replaced by a slide deck about machines. That is the myth. And every data point in 2026 confirms it.
Read the full analysis with all sources and data at news.skila.ai
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