Ideas on AI, engineering & careers.
Field notes from a team that builds AI products and staffs AI-fluent engineers.
5 posts tagged AI skills gap.
Your AI Consulting Practice Has a Staffing Problem You Haven't Solved Yet
Forward-deployed engineers are the linchpin of high-value AI implementation work — but the specialist pool is shockingly thin. Here is what consulting firms need to understand before committing to this practice area.
The Engineer Your Team Will Need in 2026 Barely Exists Today
Gartner predicts 40% of enterprise apps will run AI agents by end of 2026 — up from just 5% today. Here's why most engineering teams aren't staffed for it, and what the right hire actually looks like.
The Engineering Skill That Grew 638%: Why Enterprise Integration Is 2025's Most Urgent Hire
Demand for engineers who can connect agentic AI to legacy enterprise systems grew 638% year-over-year — the biggest jump tracked by Dice. Here's what's driving it, what these engineers actually do, and how to find or develop them.
The Entry-Level Engineering Paradox: Why New CS Grads Can't Get Hired While AI Roles Go Begging
Recent CS graduates face unemployment rates above 7% — while machine learning engineer postings are up 59%. Here's why both facts are true, and what engineering leaders should do about the gap.
The AI-Fluent Engineer Premium: A Practical Guide to Hiring for What Actually Matters
The salary gap between an AI-fluent engineer and a general software engineer now exceeds $25,000 at the floor — and the job posting data is even more extreme. Here's what the numbers mean and how to screen for the real thing.