tech
March 26, 2026
Your AI credentials don't matter. Your artifacts do. Here's how to build both sides
Nobody is admitting this publicly, so I will: there are essentially infinite AI jobs right now. Not “growing demand.” Not “a hot sector.” Infinite, as in every company I work with has an uncapped budget for AI talent and will hire as many qualified people as they can find, and they still can’t find enough. I’ve been kicking around tech for decades and I have never seen a labor market this lopsided. Accenture is training 700,000 people on agentic AI. The ManpowerGroup survey of 39,000 employers across 41 countries says AI skills are now the single hardest capability to find on Earth. Not among the hardest. The hardest.
TL;DR
- There is an extremely high demand for AI talent, with companies having uncapped budgets for qualified individuals.
- Current AI upskilling content often misses the mark, focusing on general concepts or deep technical skills instead of the practical, middle-layer skills employers need.
- Seven specific, learnable skills are consistently found in AI job postings from companies like Anthropic and Robinhood.
- Credentials and resumes are less important than demonstrable artifacts and practical skills in the AI job market.
- The author is launching Nate's Network, a new talent network focused on matching individuals with AI roles based on their actual built projects and training.
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