---
id: "lib-2026-01-00-industry-and-occupational-employment-projections"
type: "library"
title: "Industry and occupational employment projections overview and highlights, 2024-34"
lang: "EN"
org: "U.S. Bureau of Labor Statistics"
source_type: "Report"
date: "2026-01-01"
week: "2026-W01"
url: "https://nosov.ai/library/lib-2026-01-00-industry-and-occupational-employment-projections/"
original_url: "https://www.bls.gov/opub/mlr/2026/article/industry-and-occupational-employment-projections-overview.htm"
tier: "A"
tier_name: "Strong evidence"
tier_reason: "Official US Bureau of Labor Statistics ten-year projections with a published method, covering 832 occupations, and an explicit section on where AI is expected to cut or raise labour demand."
summary_basis: "full-text"
original_minutes: "40"
tags: ["employment projections", "occupations", "10 year outlook"]
---

# Industry and occupational employment projections overview and highlights, 2024-34

Tier A (Strong evidence): Official US Bureau of Labor Statistics ten-year projections with a published method, covering 832 occupations, and an explicit section on where AI is expected to cut or raise labour demand.

Summary based on the full text.

## In short

The January 2026 Monthly Labor Review overview of BLS employment projections for 2024-34, by Michael J. Rieley and Javier Colato. Total US employment is projected to grow 3.1%, much slower than the previous decade, mainly because of an ageing population. Healthcare and social assistance add the most jobs. A dedicated section names occupations where AI, including generative AI, is expected to dampen labour demand and others where it raises it.

## Key numbers

- 3.1 percent: projected US total employment growth 2024-34, from 170.0 million to 175.2 million jobs
- 13.0-percent: employment growth in the previous decade, 2014-24, for comparison
- 33.5-percent: projected growth for data scientists, the fourth-fastest growing occupation
- 5.1 percent: projected decline for claims adjusters, examiners and investigators, partly from AI damage assessment
- 4.9 percent: projected decline for medical transcriptionists as AI speech recognition spreads

## What it reports

- Employment grows from 170.0 million in 2024 to 175.2 million in 2034, 5.2 million more jobs. Healthcare and social assistance grow 8.4% and add roughly 2.0 million jobs. Retail trade loses the most, 181,900 jobs, mostly from e-commerce.
- AI and generative AI are expected to dampen demand in sales, design and administrative support. Named examples: graphic designers, interpreters and translators, technical writers, special effects artists, medical records specialists, sales engineers, insurance sales agents, customer service representatives, billing and procurement clerks, and paralegals.
- Medical transcriptionists are projected to fall 4.9% and claims adjusters 5.1%, with AI cited as a cause. Paralegals show little or no change.
- Demand for AI systems lifts computer and mathematical occupations: 5 of the 15 fastest growing occupations are in that group, and data scientists grow 33.5%.
- The four fastest growing industries are tied to renewable energy generation.

## How they got it

The BLS Employment Projections model links labour force and macroeconomic projections to an industry-occupation matrix for 832 detailed occupations. AI effects are added as case-by-case judgements where "a reasonable expectation of an AI-driven impact currently exists". The model assumes a full-employment economy in 2034.

## Limits

- The full-employment assumption means the projections cannot show AI-driven unemployment, only shifts in which occupations grow.
- AI adjustments are qualitative case studies, not a measured exposure model, and BLS says they can change as AI capabilities evolve.
- US only. Interim years 2025-33 are not projected.

## Why it matters for companies

This is the official baseline many US workforce plans start from, and it is more cautious than vendor forecasts: AI shows up as slower growth or small declines in specific clerical, sales, translation and claims roles, not as mass job loss. Companies planning shared-service or customer-service headcount can use the named occupations as a checklist, and should note that the projected growth sits in care work and technical roles that are already hard to hire for.

Original: https://www.bls.gov/opub/mlr/2026/article/industry-and-occupational-employment-projections-overview.htm