AI Research · Workplace Strategy

AI Impact Report 2026

Find out how your organisation could save 10.9 hours a week — and what that means for workforce planning, real estate, and your people’s wellbeing.

Executive summary

How AI is changing the working week, and the workplace footprint.

AWA has spent more than 30 years on workplace transformation, shaping how organisations get work done. In that time, AI has reshaped knowledge work more than any technology before it, changing what organisations need from their offices, their teams, and their leaders. We built this AI impact report as part of our ongoing AI transformation and workplace strategy work, for the CHROs, Heads of Real Estate, and operations leaders now planning around it.

Behind the report sits AWA’s task-level model of 412 UK occupations under ONS SOC 2020, each decomposed into 18 task categories and scored against peer-reviewed AI exposure research. The model captures four capability scenarios with sector-specific adoption discounts. Workforce stress benchmarks reference Mental Health UK’s 2026 Burnout Report.

1

What this means for your people

10.9 hrs

per worker, per week, freed from routine cognitive load

In a UK workforce where 91% of adults report high or extreme pressure (Mental Health UK, 2026), the recovered hours are what matter most. They return the bandwidth to do core work well, and to sustain a career without burning out.

2

A different question for real estate

88M sq ft

central-scenario reduction in UK office demand over 5 years

As 15.8M FTE-equivalents of capacity surface across the workforce, office demand shifts. Combined with hybrid patterns, total reduction exceeds 11%. Portfolio planning should reflect this before the next lease decision.

Acting on these findings — across people strategy, real estate, and workforce planning — is what our workplace strategy team is for.

Talk to our workplace strategy team →
Who it’s for

What CEOs, CHROs, and workplace leaders need to know about AI.

CEO

How AI reshapes your business — what it compresses, what it creates, what it changes.

CHRO

How many hours your people get back, and how to spend them well.

Head of Real Estate

What the next five years look like for your portfolio, before the next lease decision.

Chief People Officer

Where burnout sits in your workforce, and where AI recovery can ease it.

What you get

What the report covers, in full.

01

Your occupation map

412 UK occupations analysed across 18 AI task categories (ONS SOC 2020). Where AI exposure sits in your sector, occupation by occupation.

02

The hours-freed breakdown

10.9 hours per worker per week is the headline. The report distributes this across occupation groups — from roles that recover a little to those that recover a full working day or more.

03

Four capability scenarios

From cautious adoption to near-full substitution, four futures with sector-specific adoption discounts. A range to stress-test your own planning assumptions against.

04

The real estate calculation

A direct line from AI adoption rates to office demand — 88 million square feet of UK reduction in the central scenario by 2031. The data behind your next lease decision.

05

The wellbeing case

91% of UK adults report high or extreme pressure. Why cognitive load relief, not displacement anxiety, is the right frame for people leaders.

06

The data in full

Every occupation, every scenario, every score. The full dataset — AI exposure, practical impact, and hours-freed figures for all 412 UK roles — behind every headline in the report.

Trusted by
Microsoft Google DeepMind A&O Shearman Omnicron Group Actis LLP Aon BP
Hours freed by AI

Time saved by AI for different job roles

The twelve UK occupational families where AI frees the most hours per worker per week. Task substitution plus capability amplification, from AWA’s 412-occupation model.

Time saved by AI for different job roles · hours per worker per week
STEM & professional services Health & care Education & creative Management Business & admin

Source: AWA AI Impact Report 2026, task-level model of 412 UK SOC 2020 occupations, May 2026 frontier AI calibration. Combined value is substitution hours times the capability amplification multiplier for each occupational family.

Hours freed by AI per worker per week, by UK occupation group
Occupation groupHours per worker per week
Science, research & engineering35.3
Business, media & public service26.2
Science, engineering & technology associates23.6
Health professionals22.1
Business & public service associates21.6
Teaching & educational professionals21.6
Corporate managers & directors21.1
Culture, media & sports occupations20.4
Other managers & proprietors18.5
Health & social care associates17.0
Customer service occupations16.6
Secretarial & related occupations16.1

Get the full analysis.

Ten sections covering methodology, the 412-occupation breakdown, displacement scenarios, sector implications, and the framework for translating these numbers into decisions for your own organisation.

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About AWA

Backed by science and fiercely independent.

AWA is one of the world’s leading independent workplace consultants. Since 1992, we have used science and research to change the world of work for the better — what we call the DNA of work.

The 412-occupation model behind this report is the next step in that work, built so leaders can act from evidence. Every parameter is adjustable; every figure can be re-calibrated for your own organisation.

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