Contrarian

The AI talent shortage myth.

Every company claims they cannot find AI talent. The talent exists. What companies actually cannot find is people with their specific narrow AI requirements + their compensation cap + their willingness to work on legacy systems. The "talent shortage" is mostly a misalignment, not an actual shortage. Here is the honest take.

The myth

What companies usually mean

Companies say "we cannot find AI talent." Usually means one of three things:

1. We cannot find AI talent at our budget. AI-fluent senior engineers expect $200K-$400K total comp. Companies offering $130K cannot hire them.

2. We cannot find AI talent willing to work on our boring legacy system. Top AI engineers want to work on greenfield AI products. Bolting AI onto a 15-year-old monolith does not attract them.

3. We cannot find AI talent who matches our exact 12-bullet job description. Most JDs require 5+ years of specific experience that did not exist 3 years ago. Impossible.

The real hiring problem

What is actually broken

1. Job descriptions are calibrated for skills that did not exist. "5+ years of LLM application experience" — LLMs only became practical 3 years ago. Real talent gets filtered out.

2. Hiring processes are too long. Top AI engineers have multiple offers in 1-2 weeks. Companies with 6-week processes lose them.

3. Companies want AI talent without AI-native culture. AI engineers want to use AI tools daily. Companies that ban or restrict AI tools internally lose recruiting.

4. "AI engineer" is too specific. The best hires are strong engineers with AI fluency, not AI specialists. The pool is broader than the JD assumes.

What actually works

Hiring discipline

1. Rewrite JDs around outcomes, not years of AI experience.

2. Compress hiring loops to 2-3 weeks. 5-stage interview processes lose candidates.

3. Commit to AI-native culture. Top engineers ask in interviews: "do you use AI tools internally?" The wrong answer disqualifies you.

4. Hire AI-fluent generalists, not AI specialists. Strong engineers learn AI; AI specialists do not always have strong engineering fundamentals.

5. Use a fractional or consultancy for the parts you cannot hire. Sometimes the right answer is "do not hire" — engage an outside operator for 6-12 months.

Related

Related reading

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