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AI is changing white-collar work by unbundling tasks, says ADP economist

By PulseAugur Editorial · [1 sources] ·

Nela Richardson, ADP's chief economist, is leading a project to analyze the labor market by focusing on individual tasks rather than traditional job titles. This "great job unbundling" uses natural language processing on millions of job postings and cross-references them with payroll data to identify which specific activities are increasing in value due to AI and which are being devalued. Richardson's initial findings suggest that white-collar work, as it has existed since the latter half of the 20th century, is structurally unwinding, a trend she attributes more to the evolution of technology than solely to AI. AI

IMPACT AI is poised to redefine white-collar jobs by breaking them down into discrete tasks, potentially shifting value and altering traditional career paths.

RANK_REASON This article presents an interview with an economist discussing her research and predictions about AI's impact on work, rather than announcing a new AI model, product, or significant industry event.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI is changing white-collar work by unbundling tasks, says ADP economist

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This article presents an interview with an economist discussing her research and predictions about AI's impact on work, rather than announcing a new AI model, product, or significant industry event.
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COVERAGE [1]

  1. Fortune TIER_1 English(EN) · Nick Lichtenberg ·

    Nela Richardson has a rare window into how AI is changing work. Her 3 takeaways should make you excited—or very frightened

    "No one ever promised a 50-year cycle for white-collar work," the ADP chief economist told Fortune. But that doesn't mean knowledge work is dying, either.

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