---
title: "Workplace | 15% of U.S. Workers Would Consider an AI Boss — 60+ Stats on AI and Jobs"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-08-27T16:00:00+08:00"
canonical: "https://ffcap.cn/en/research/20240827a05z0r00"
source: "https://ffcap.cn/en/research/20240827a05z0r00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20240827A05Z0R00"
---

# Workplace | 15% of U.S. Workers Would Consider an AI Boss — 60+ Stats on AI and Jobs

_Unique Research · Insight / Stats Digest · August 27, 2024 · Compiled from Josh Howarth “60+ Stats on AI Replacing Jobs” (CN digest)_

**Ingest note:** ~22 CN charts. All headline stats from CN retained below; attach charts on ingest. Signup CTA omitted.

Experts still disagree on AI’s net labor impact: mass displacement vs. better work lives vs. hundreds of thousands of new roles — while millions have already lost jobs to robots. Whatever the mix, as adoption spreads the workforce effect only grows.

## Headline board

-   **300 million** jobs may disappear due to AI (≈9.1% of global jobs) — Goldman Sachs via BBC
-   **44%** of companies using/planning AI think it will drive 2024 layoffs — Resume Builder
-   By decade-end, **14%** of workers forced to switch careers by AI — McKinsey (≈375M globally by 2030)
-   **14%** of workers already lost jobs to AI (CN headline board)
-   Advanced economies: **60%** of jobs exposed; low-income countries: **26%** — IMF
-   **24%** of workers fear AI will soon make their job obsolete
-   Ages 18–24 fear obsolescence **129%** more than 65+
-   **15%** of U.S. workers would consider an AI boss (vs **8%** UK) — Asana

## Potential impact

-   By 2025: **2M** manufacturing workers may be replaced by automation tools (robots + some AI) — MIT / Boston University
-   **1/4** of CEOs expect GenAI to cut ≥5% of workforce in 2024 — PwC (4,702 CEOs / 105 countries)
-   **75%** of CEOs: GenAI will materially change business within 3 years — PwC
-   **80%** of U.S. labor force may have ≥10% of tasks affected by LLMs — arXiv
-   By 2027: >**7.5M** data-entry jobs gone (largest projected loss) — WEF; admin secretaries #2, accountants #3
-   Of AI-using/planning firms: **21%** say layoffs “certain” in 2024; **23%** less sure — Resume Builder
-   Next decade: **47%** of U.S. workers at unemployment risk from automation (incl. non-AI) — CEPR
-   ≥20 years to automate 50% of global work tasks — McKinsey

## Impact already visible

-   **23.5%** of U.S. companies have replaced employees with ChatGPT — Resume Builder (49% adopted ChatGPT; of those, 48% say it replaced staff)
-   May 2023: **3,900** U.S. jobs lost directly to AI (5% of that month’s losses; 7th-largest cause) — SEO.ai
-   Since 2000: automation cut **1.7M** manufacturing jobs — BuiltIn
-   **13.7%** of U.S. workers report job loss to robots — Socius (displaced workers overestimate peer rates)

## Which jobs are exposed?

-   US + Europe: **2/3** of jobs face some automation exposure — Goldman Sachs
-   Global: **40%** of jobs face AI threat — IMF
-   Advanced economies ~**60%** exposed; of those, ~half benefit / half hurt (pay cuts or job loss) — IMF
-   **19%** of workers in “most AI-exposed” jobs (top quartile by automatable tasks) — Pew
-   **27%** of bachelor’s+ workers in most-exposed jobs vs 3% below HS / 12% HS / 19% some college — Pew
-   Most-exposed earn **$13.3/hr more** than least-exposed ($33.3 vs $20) — Pew
-   Wide adoption of existing automation could touch half the global economy — **1.2B** workers / **$14.6T** wages — McKinsey

## Tasks, not whole jobs

-   **34%** of business-related tasks already done by machines; **66%** still human — WEF
-   **25%** of all work tasks doable by AI; admin 46% / legal 44% / construction 6% / maintenance 4% — Goldman Sachs
-   **19%** of U.S. workers may see >half of tasks affected by GPT-4-class systems — OpenAI / arXiv
-   In **77%** of jobs, highly AI-exposed tasks are important — Pew

## Worker anxiety & demographics

-   Asian workers most worried; white workers least; Black 32% / Hispanic 35% fear obsolescence — SurveyMonkey
-   Income <$50k: **30%** worry vs income >$150k: **16%** — SurveyMonkey
-   Fully remote workers **42%** more likely than fully on-site to expect AI disruption (54% vs 38%) — SurveyMonkey
-   Advertising & marketing: **51%** expect AI to change their work — SurveyMonkey

## Adoption

-   Large firms ~2× as likely as small to adopt AI — IBM; **60%** of large cos adopted AI in 2022
-   **74.9%** of orgs may adopt AI by 2027 — WEF (#8 on planned tech list after digital platforms / cloud / crypto)
-   Firms >1,000 employees: **42%** actively deployed AI; **40%** explored but not deployed; only **18%** never tried — IBM

## New jobs & attitudes

-   **81%** of office workers broadly positive on AI; >4/5 say it lifted performance/experience — SnapLogic
-   **51%** of office workers: AI improved work–life balance — SnapLogic
-   **25.6%** of WEF-surveyed orgs expect AI to create jobs (widest disagreement of any change surveyed)
-   Largest global net job growth 2023–2027: “AI and ML specialists” (~1M) — WEF; agriculture equipment ops / truck & bus drivers each >2M
-   LLM access: tasks **+15%** faster with no quality drop — arXiv
-   UK: only **17%** often/always recognize when they are using AI — ONS (men, young, degree holders more confident)
-   **26%** fear using AI makes them look lazy; **18%** feel like a fraud when AI does the work — Asana
-   Past 25 years: **1/3** of U.S. jobs created “didn’t exist / barely existed” before — McKinsey

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