---
id: "lib-2026-04-00-state-of-the-global-workplace-2026"
type: "library"
title: "State of the Global Workplace 2026"
lang: "EN"
org: "Gallup"
source_type: "Report"
date: "2026-04-01"
week: "2026-W14"
url: "https://nosov.ai/library/lib-2026-04-00-state-of-the-global-workplace-2026/"
original_url: "https://www.gallup.com/file/workplace/707798/state-of-the-global-workplace-2026-download.pdf"
tier: "A"
tier_name: "Strong evidence"
tier_reason: "Gallup's annual workplace report rests on a probability-based World Poll of 263,810 respondents in 2025, though its AI findings come from smaller US and German surveys with correlational analysis."
summary_basis: "full-text"
original_minutes: "40"
tags: ["ai adoption", "employee experience", "workplace psychology"]
---

# State of the Global Workplace 2026

Tier A (Strong evidence): Gallup's annual workplace report rests on a probability-based World Poll of 263,810 respondents in 2025, though its AI findings come from smaller US and German surveys with correlational analysis.

Summary based on the full text.

## In short

Gallup's "State of the Global Workplace 2026", subtitled "The Human Side of the AI Revolution", reports engagement, wellbeing and job-market data from the Gallup World Poll plus new US survey data on AI adoption. Global engagement fell for a second consecutive year to 20%, driven mostly by falling manager engagement. Gallup argues the gap between individual AI productivity gains and organizational results is a management problem: active manager support is, apart from technical integration, the strongest predictor of employee AI adoption.

## Key numbers

- 20%: global employee engagement in 2025, down from a 2022 peak of 23%
- 27% to 22%: global manager engagement, 2024 to 2025
- 65% vs 12%: US employees in AI-implemented organizations reporting a positive productivity impact vs strongly agreeing AI transformed how work gets done
- 8.7x: likelihood of saying AI transformed work when the manager actively supports the team's AI use

## What it reports

- Global engagement fell to 20% in 2025 from 23% in 2022; each point equals about 21 million employees. Low engagement cost an estimated $10 trillion, or 9% of global GDP.
- Manager engagement dropped nine points since 2022, including five points from 27% to 22% between 2024 and 2025. South Asia saw an eight-point drop alongside fewer manager roles. In best-practice organizations 79% of managers are engaged.
- In US organizations that implemented AI, 65% of employees report a positive productivity impact (7% negative), but 12% strongly agree AI has transformed how work gets done.
- Employees whose manager actively supports AI use are 8.7 times as likely to say AI transformed work and 7.4 times as likely to say it lets them do what they do best. Fewer than a third of US employees in AI-implementing organizations report such support; in Germany the figure is 21%.
- In Q1 2026, 18% of US employees thought their job likely to be eliminated within five years by automation or AI; 23% in AI-implemented organizations; 32% in finance and insurance, 31% in technology.
- In AI-implemented organizations with 10,000+ employees, 33% say their employer is reducing headcount vs 30% expanding; at 5,000-10,000 employees, 38% expanding vs 23% reducing.
- Job-market optimism in the US/Canada region fell 23 points since 2019, from 70% to 47%.

## How they got it

Primary data come from the Gallup World Poll: probability-based, nationally representative samples of adults aged 15+, by phone or face to face, in 160+ countries. The 2025 sample was 263,810 respondents (141,444 employed), collected January to December 2025. AI findings come from Gallup's Q1 2026 US workforce web survey and a separate German survey.

## Limits

- Manager-support multipliers are correlations; teams already succeeding with AI may also report more supportive managers.
- AI results are US- and Germany-specific; the global sample does not cover AI use.
- The CEO foreword cites the contested MIT NANDA "95% zero impact" figure, which this report does not test.

## Why it matters for companies

The data place the bottleneck for AI value with line managers, the group whose own engagement is falling fastest. Training and equipping managers to support team AI use is likely to pay more than additional licences. The size-dependent headcount data show large employers are more likely to use AI to cut roles, which feeds employee job-loss fears in finance and technology functions. Engagement is a reasonable leading indicator to track alongside AI rollout.

Original: https://www.gallup.com/file/workplace/707798/state-of-the-global-workplace-2026-download.pdf