Part 2 of the Friction Layer series, with Endeavor Intelligence. Software engineering is the largest, most AI-exposed technical function, yet several smaller functions carry more structural strain. What makes engineering matter is that it builds the shared software layer everyone else runs on, so the AI rules set inside it become the defaults the whole organisation inherits.

This analysis by Endeavor Intelligence, using TechWolf’s data from two billion job postings, maps the "friction layer" where AI pressure actually concentrates. It reveals that DevOps, QA, and Finance face more structural strain than Software Engineering due to shared skills. Expect a breakdown of how these overlooked functions require unique strategies, either workflow redesign or workforce restructuring, to survive the organizational ripple effects of AI-driven change.

McKinsey's Sven Smit and Anu Madgavkar make a counterintuitive case: as AI automates more work, large economies will hit a people shortage, not a surplus, thanks to demographic decline and the new demand that automation unlocks. In our conversation, they break down why "soft skills only" is dangerous advice for young workers, why the fastest learner (not the best planner) wins, and why task-level optimization is a trap when workflow redesign is the real strategic unlock. A must-listen for CHROs planning the next five years of hybrid, human-plus-agent teams.

Firing and rehiring isn't an AI strategy, it's a costly gamble. Our research shows why reskilling your existing workforce beats the layoff cycle on every metric that matters.

Skills-based workforce planning failed 92% of organisations because static taxonomies, self-reported data, and snapshot approaches couldn't keep pace with AI-driven change. Work intelligence is the missing data layer that completes it.

Workforce intelligence and work intelligence are not the same thing. This blog maps the four disciplines under the workforce intelligence umbrella and explains why TechWolf chose work intelligence as the sharper, more precise category.

Skills intelligence uses AI to map workforce capabilities in real time. But with only 33% of buyers satisfied, the category has a missing piece. This guide explains what skills intelligence is, how it works, and why connecting skills data to work data is what separates the leaders from the rest.

Complementing our high-level Work Intelligence Index, the new Skills Intelligence Index offers a granular view of how AI impacts individual skills.

Go inside TechWolf’s Skills Intelligence Index to see how we transform over 2 billion job postings into a comprehensive map of skills and tasks.

Task intelligence maps what people do, but it doesn't connect tasks to skills, costs, or business outcomes. Work intelligence closes those gaps by unifying tasks, skills, and roles in a single data layer.

60% of HR leaders plan to increase AI workforce planning investment by 2027, but most organisations can't answer a basic question: which skills do we have? Learn why skills intelligence is the missing foundation.