Summary
Nate Herk makes the case that the most valuable emerging AI career is not the AI engineer or the automation builder, but the in-house AI consultant — the person inside an existing company who can identify high-impact automation opportunities, build them, and drive organizational adoption. The video opens with Chegg’s story: a homework-help company that saw its stock drop nearly 50% in a single day in 2023 after acknowledging that ChatGPT had disrupted its core business, standing in for a broader pattern of AI displacing not entire workforces but the headcount multiplier — one person with AI now doing work that previously required three to five.
Herk argues that the $130 billion AI automation services market was built on a gap between enterprises knowing their problems and knowing how to solve them. As AI tools become accessible to non-technical users, that gap is closing, and companies are increasingly looking to build automation capability in-house rather than pay agencies. This creates an opening for employees willing to formalize that capability as an internal role.
The second half of the video outlines a four-step roadmap: audit your own workflows for tasks that are time-consuming and low-risk if the AI makes an error; automate those tasks first; surface the ROI to leadership; and expand the remit from there. Herk draws a doctor-versus-pharmacist analogy to distinguish judgment-driven roles (the consultant who identifies what needs doing) from execution-driven ones (the builder who implements it), arguing the former commands significantly higher compensation as the role professionalizes.
📺 Source: Nate Herk | AI Automation · Published July 14, 2026
🏷️ Format: Opinion Editorial
