There’s one more thing happening that I think is the most important development and the least understood.
On February 5th, OpenAI released GPT-5.3 Codex. In the technical documentation, they included this:
“GPT-5.3-Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations.”
“GPT-5.3-Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations.”
What this means for your job
Dario Amodei, who is probably the most safety-focused CEO in the AI industry, has publicly predicted that AI will eliminate 50% of entry-level white-collar jobs within one to five years. And many people in the industry think he’s being conservative. Given what the latest models can do, the capability for massive disruption could be here by the end of this year. It’ll take some time to ripple through the economy, but the underlying ability is arriving now.
This is different from every previous wave of automation, and I need you to understand why. AI isn’t replacing one specific skill. It’s a general substitute for cognitive work. It gets better at everything simultaneously. When factories automated, a displaced worker could retrain as an office worker. When the internet disrupted retail, workers moved into logistics or services. But AI doesn’t leave a convenient gap to move into. Whatever you retrain for, it’s improving at that too.
The first coding model I can start, walk away from for hours, and come back to fully working software. Judgment under ambiguity + strong validation changes everything.
By Matt Shumer
Core Strategies to Get More Job Opportunities
Success in today’s job market requires clarity, positioning, and optimization. With the right approach, candidates can significantly improve their chances of getting noticed.
Legal work
AI can already read contracts, summarize case law, draft briefs, and do legal research at a level that rivals junior associates.
Financial analysis
Building financial models, analyzing data, writing investment memos, generating reports.
Writing and content
The quality has reached a point where many professionals can’t distinguish AI output from human work.
Medical analysis
AI is approaching or exceeding human performance in several areas.
Measurement & Continuous Improvement
Improving your job search requires ongoing evaluation and adjustment. Tracking your efforts helps you identify what works and what doesn’t.
1. Track Your Applications
Monitor how many applications you send and how many responses you receive. This helps identify gaps in your strategy.
2. Analyze Resume Performance
If you’re not getting responses, your resume may need improvement. Test different formats and content styles.
3. Improve Based on Feedback
Learn from rejections and feedback. Small improvements can lead to better results over time.
4. Keep Updating Your Profile
Your resume and LinkedIn should evolve with your experience and market trends.
The most recent AI models make decisions that feel like judgment. They show something that looked like taste: an intuitive sense of what the right call was, not just the technically correct one. A year ago that would have been unthinkable. My rule of thumb at this point is: if a model shows even a hint of a capability today, the next generation will be genuinely good at it. These things improve exponentially, not linearly.
I think the honest answer is that nothing that can be done on a computer is safe in the medium term. If your job happens on a screen (if the core of what you do is reading, writing, analyzing, deciding, communicating through a keyboard) then AI is coming for significant parts of it. The timeline isn’t “someday.” It’s already started.
Eventually, robots will handle physical work too. They’re not quite there yet. But “not quite there yet” in AI terms has a way of becoming “here” faster than anyone expects.