AI labor displacement research: full record
// Why This Isn’t An Outlier
This document isn’t an isolated case. It’s the same institutional habit the record shows repeating for eighty years.
Build the capability quietly. Use it at a scale the public never approved. Account for it only once a court forces the paperwork into daylight. The Classified Record traces that exact pattern from a 1946 screening memo to the 3.4 million warrantless searches the FBI ran in a single year, using the government’s own documents, not speculation.
Get the book on Amazon →A substantial share of core job skills are expected to change within a five-year window, with tens of millions of roles displaced globally even as new roles are created elsewhere. The pace of this transition varies significantly by industry, region, and occupational category.
Automation exposure is best measured at the level of specific, describable tasks rather than entire job titles. A role is rarely eliminated wholesale; more often, the automatable portion of its tasks is absorbed by technology while the remaining, less describable portion is redistributed or elevated in value.
Roles concentrated in repeatable, well-defined cognitive and analytical tasks, including significant portions of entry-level white-collar work, show measurable early exposure. Roles requiring complex judgment, relationship management, and physical dexterity in unstructured environments remain comparatively more resistant in current assessments.
This transcription reflects the general, consistent findings across both organizations' published methodology rather than a single verbatim report, since both bodies update specific figures on a rolling basis. Readers seeking the current exact percentages should consult each organization's most recent published edition directly.
Report: Future of Jobs Report, World Economic Forum.
Research: Automation and the future of work, McKinsey Global Institute.
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