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TechWolf added a useful data point this week to the debate over how AI is changing enterprise work. Its September 8 analysis of 2 billion job postings across 1,496 large enterprises estimates that AI could fully absorb 1.4 percent of enterprise task hours, while accelerating 39.2 percent.
Revelio Labs’ August Labor Market Tracker points in a similar direction. It finds that 87 percent of year-over-year change in work activities is happening within occupations rather than through changes in the occupational mix.
For CHROs and CLOs, this creates a fairly practical problem. Most workforce planning still starts with roles: which ones are growing, which are shrinking, which need new skills, and where employees may need to move. But an employee can keep the same title while a meaningful share of the work underneath it changes. That leaves L&D trying to train against a job architecture that may be slower to change than the work itself.
This week’s deep dive covers:
The Job Title Is Becoming Less Useful
Completion Rates Will Not Answer the Productivity Question
The Buying Decision Starts Before the Content
1. The Job Title Is Becoming Less Useful
The Revelio data do not point to a simple replacement story. Employment in the most AI-exposed occupations is down roughly 6 percent relative to the least exposed occupations since before ChatGPT. At the same time, AI-related employment has grown 19 percent since November 2022, compared with 3 percent for other roles. Revelio also finds that the most exposed firms have recorded 39 percent fewer layoff announcements than the least exposed firms since October 2022.
Companies are cutting in some places, hiring in others, and changing the work done by employees they keep.
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