You're preparing for the wrong AI event: a whitepaper on task data from 1,496 enterprises

Boards keep asking how many jobs AI will cut. The work itself points somewhere else.

We broke the roles at 1,496 of the world's largest enterprises down into their tasks, using 2 billion public job postings, and scored every one. AI could take over just 1.4% of task hours end to end. It could accelerate 39%. That second number sits inside roles that stay, and almost nobody owns it.

In this whitepaper, David Mendelsohn, from our Strategy and Operations team, lays out what that means for your workforce plan. Inside, you'll find:

• The data behind the headcount question: what AI can absorb, accelerate or leave to people, across 20,127 roles and 26 industries.
• Why job titles hide the change: the same underwriter role is 90%, 55% or 0% exposed to AI depending on the insurer.
• Five practices that separate companies getting value from role redesign from the rest, with examples from a telecoms-equipment company and a specialty insurer.

Start with one question about your three largest role families.