UK AI Jobs Tracker

34.9% of UK businesses with 10 or more employees used at least one AI technology in June 2026, up from 11.9% in September 2023, according to the Office for National Statistics. On Indeed, 9.66% of UK job postings mentioned AI on 31 August 2026, against 4.90% a year earlier, while total postings were lower than a year before. None of these sources measures job losses: they track business adoption, advertised demand, how people use AI tools and where AI capability overlaps with work.

Data last updated: 15 September 2026 Sources checked weekly

UK headline figures

Four measures, each from a different source and each describing a different population. They are not combined into a single score.

UK businesses with 10 or more employees using at least one AI technology

34.9%

Share of businesses, weighted by count. Wave 159.

ONS Business Insights and Conditions Survey, 15 to 28 June 2026

UK job postings on Indeed that mention AI

9.66%

Up from 4.90% on 31 August 2025, a rise of 4.76 percentage points.

Indeed Hiring Lab AI Tracker, seven-day average to 31 August 2026

Claude.ai use per working-age person in the UK, against the global average

3.35x

An index where the global average is 1. It covers Claude.ai users only.

Anthropic Economic Index, May 2026

UK consumer ChatGPT messages that are work-related

32.3%

Share of sampled messages. Consumer ChatGPT only: excludes enterprise accounts and Codex.

OpenAI Signals, June 2026

How many UK businesses use AI

The Office for National Statistics asks UK businesses about AI in its Business Insights and Conditions Survey about once a quarter. It counts light and embedded use the same as extensive use, so the chart measures breadth of adoption rather than depth.

UK businesses with 10 or more employees using at least one AI technology

ONS survey waves 92 to 159, September 2023 to June 2026. Percentage of businesses, weighted by count.
UK businesses with 10 or more employees using at least one AI technologyLine chart of 12 survey waves. The share rose from 11.9% in wave 92 (18 September to 1 October 2023) to 34.9% in wave 159 (15 to 28 June 2026).0%10%20%30%40%20242025202611.9%34.9%

Base (ONS wording): As a percentage of businesses not permanently stopped trading, broken down by industry and size band, weighted by count, UK.

Calculated by The AI Consultancy as all businesses minus those answering “does not currently use” or “not sure”, the method of the ONS article.

Source: Office for National Statistics, Business Insights and Conditions Survey (BICS): AI questions. Open Government Licence v3.0.
View the data
UK businesses with 10 or more employees using at least one AI technology, percentage of businesses
Survey waveFieldworkShare
Wave 9218 September to 1 October 202311.9%
Wave 9811 to 24 December 202311.8%
Wave 10518 to 31 March 202413.8%
Wave 11117 to 30 June 202414.8%
Wave 11716 to 29 September 202417.8%
Wave 12316 to 29 December 202418.2%
Wave 12917 to 30 March 202520.6%
Wave 13516 to 29 June 202525.1%
Wave 14115 to 28 September 202527.2%
Wave 14715 to 28 December 202528.7%
Wave 15316 to 29 March 202632.1%
Wave 15915 to 28 June 202634.9%

Adoption figures describe the market as a whole. To estimate what AI could save in your own operations, use the AI ROI calculator.

ONS also asks what AI has done, or is expected to do, to headcount. Each question has its own base, printed with its panel: most are asked only of businesses already using AI.

What UK businesses with 10 or more employees report about AI and headcount

ONS survey wave 159, 15 to 28 June 2026. Percentage of businesses, weighted by count. The panels have different bases, so compare answers within a panel only.

Effect of AI on headcount so far

Base (ONS wording): As a percentage of businesses not permanently stopped trading that are using some form of artificial intelligence or are not sure if they are doing so, broken down by industry and size band, weighted by count, UK.

Effect of AI on headcount so far, ONS wave 159Bar chart. No change: 56.6%; Reduced headcount: 5.0%; Not sure: 20.4%; Not applicable: 17.1%.0%20%40%60%No change56.6%No change: 56.6%Reduced headcount5.0%Reduced headcount: 5.0%Not sure20.4%Not sure: 20.4%Not applicable17.1%Not applicable: 17.1%

Expected effect on headcount of planned AI use

Base (ONS wording): As a percentage of businesses not permanently stopped trading that plan to use artificial intelligence within the next three months or are not sure about doing so, broken down by industry and size band, weighted by count, UK.

Expected effect on headcount of planned AI use, ONS wave 159Bar chart. Expect headcount to increase: 1.2%; Expect no change: 51.0%; Expect headcount to reduce: 9.9%; Not sure: 37.8%.0%20%40%60%Expect headcount to increase1.2%Expect headcount to increase: 1.2%Expect no change51.0%Expect no change: 51.0%Expect headcount to reduce9.9%Expect headcount to reduce: 9.9%Not sure37.8%Not sure: 37.8%

Not published by ONS for this size band in wave 159: “Increased headcount”.

These answers are businesses’ own reports of headcount effects.

Source: Office for National Statistics, Business Insights and Conditions Survey (BICS): AI questions. Open Government Licence v3.0.
View the data
What UK businesses with 10 or more employees report about AI and headcount
Question and answerShare
Effect of AI on headcount so far: No change56.6%
Effect of AI on headcount so far: Reduced headcount5.0%
Effect of AI on headcount so far: Not sure20.4%
Effect of AI on headcount so far: Not applicable17.1%
Expected effect on headcount of planned AI use: Expect headcount to increase1.2%
Expected effect on headcount of planned AI use: Expect no change51.0%
Expected effect on headcount of planned AI use: Expect headcount to reduce9.9%
Expected effect on headcount of planned AI use: Not sure37.8%

What UK employers are hiring for

Indeed Hiring Lab tracks the share of job postings that mention AI-related terms in 9 countries. On 31 August 2026 the UK ranked third of the 9, behind Canada and Ireland.

Share of job postings on Indeed that mention AI, UK and US

Month-end values, January 2019 to August 2026. Percentage of all postings, seven-day trailing average.
  • UK
  • US
Share of job postings on Indeed that mention AI, UK and USLine chart of month-end values. The UK share was 4.90% on 31 August 2025 and 9.66% on 31 August 2026. The US share was 6.74% on 31 August 2026.0%2.5%5%7.5%10%2020202220242026UK 9.66%US 6.74%

A posting counts when it mentions AI-related keywords, so a role that mentions AI in passing counts the same as an AI role.

Source: Indeed Hiring Lab, AI Tracker. CC BY 4.0. Month-end values selected by The AI Consultancy.
View the data
Share of job postings on Indeed that mention AI, UK and US, month-end values
DateUKUS
31 January 20192.06%1.73%
28 February 20192.10%1.74%
31 March 20191.99%1.69%
30 April 20192.04%1.67%
31 May 20192.01%1.66%
30 June 20192.04%1.71%
31 July 20192.07%1.75%
31 August 20192.03%1.70%
30 September 20192.01%1.79%
31 October 20192.11%1.83%
30 November 20192.17%1.86%
31 December 20192.45%1.91%
31 January 20202.28%1.93%
29 February 20202.40%1.96%
31 March 20202.91%1.97%
30 April 20203.10%1.87%
31 May 20202.97%1.64%
30 June 20202.92%1.52%
31 July 20202.75%1.46%
31 August 20202.52%1.50%
30 September 20202.62%1.58%
31 October 20202.73%1.66%
30 November 20203.03%1.83%
31 December 20203.36%1.98%
31 January 20213.60%2.05%
28 February 20213.62%2.21%
31 March 20213.14%2.17%
30 April 20212.87%2.04%
31 May 20212.66%2.11%
30 June 20212.71%2.20%
31 July 20212.62%2.32%
31 August 20212.58%2.53%
30 September 20212.54%2.61%
31 October 20212.60%2.75%
30 November 20212.73%2.94%
31 December 20213.21%3.03%
31 January 20223.16%3.19%
28 February 20223.12%3.26%
31 March 20223.02%3.18%
30 April 20222.92%3.14%
31 May 20222.76%3.15%
30 June 20222.64%2.97%
31 July 20222.55%2.82%
31 August 20222.43%2.67%
30 September 20222.42%2.54%
31 October 20222.28%2.38%
30 November 20222.20%2.21%
31 December 20222.14%2.19%
31 January 20232.02%2.13%
28 February 20231.99%2.04%
31 March 20231.94%1.84%
30 April 20231.87%1.78%
31 May 20231.76%1.73%
30 June 20231.69%1.69%
31 July 20231.79%1.72%
31 August 20231.83%1.76%
30 September 20231.78%1.83%
31 October 20231.89%1.83%
30 November 20232.02%1.88%
31 December 20232.30%1.94%
31 January 20242.18%2.01%
29 February 20242.28%2.08%
31 March 20242.32%2.05%
30 April 20242.38%2.02%
31 May 20242.42%2.11%
30 June 20242.48%2.22%
31 July 20242.61%2.19%
31 August 20242.63%2.31%
30 September 20242.74%2.39%
31 October 20242.89%2.54%
30 November 20243.03%2.60%
31 December 20243.43%2.71%
31 January 20253.38%2.77%
28 February 20253.55%2.79%
31 March 20253.73%2.76%
30 April 20253.99%2.79%
31 May 20254.15%2.88%
30 June 20254.46%3.10%
31 July 20254.67%3.22%
31 August 20254.90%3.44%
30 September 20255.12%3.70%
31 October 20255.72%4.06%
30 November 20256.27%4.28%
31 December 20257.11%4.43%
31 January 20267.02%4.76%
28 February 20267.28%5.05%
31 March 20268.12%5.43%
30 April 20268.39%5.46%
31 May 20269.30%5.78%
30 June 20269.48%5.96%
31 July 20269.48%6.35%
31 August 20269.66%6.74%

Total job postings on Indeed in the UK

Seasonally adjusted index, 1 February 2020 = 100. Month-end values from February 2020; the last point is the latest available date, 11 September 2026.
Total job postings on Indeed in the UKLine chart. The index was 74.78 on 11 September 2025 and 68.41 on 11 September 2026, where 1 February 2020 = 100.0501001502001 February 2020 = 10020212023202568.4

The AI share above is a share of these postings, so it can rise when total postings fall. The index stood at 68.41 on 11 September 2026, against 74.78 a year earlier.

Source: Indeed Hiring Lab, Job Postings Index (GB). CC BY 4.0. Month-end values selected by The AI Consultancy.
View the data
Total job postings on Indeed in the UK, index
DateIndex
29 February 202099.48
31 March 202061.01
30 April 202038.77
31 May 202034.37
30 June 202036.82
31 July 202043.09
31 August 202049.19
30 September 202052.18
31 October 202057.48
30 November 202062.43
31 December 202068.56
31 January 202162.49
28 February 202166.61
31 March 202184.82
30 April 202199.27
31 May 2021116.63
30 June 2021123.11
31 July 2021134.49
31 August 2021143.65
30 September 2021150.32
31 October 2021158.49
30 November 2021161.74
31 December 2021153.20
31 January 2022157.49
28 February 2022165.22
31 March 2022170.89
30 April 2022164.08
31 May 2022171.23
30 June 2022164.69
31 July 2022164.25
31 August 2022164.52
30 September 2022157.22
31 October 2022159.10
30 November 2022156.66
31 December 2022149.60
31 January 2023145.85
28 February 2023139.40
31 March 2023137.40
30 April 2023134.03
31 May 2023130.60
30 June 2023127.33
31 July 2023125.24
31 August 2023123.98
30 September 2023121.64
31 October 2023117.79
30 November 2023112.66
31 December 2023108.90
31 January 2024105.94
29 February 2024104.83
31 March 2024104.56
30 April 2024101.30
31 May 202499.75
30 June 202496.07
31 July 202492.88
31 August 202489.76
30 September 202488.41
31 October 202486.10
30 November 202486.50
31 December 202488.06
31 January 202584.85
28 February 202583.09
31 March 202581.82
30 April 202575.34
31 May 202578.32
30 June 202576.63
31 July 202577.13
31 August 202574.59
30 September 202575.74
31 October 202575.66
30 November 202576.98
31 December 202576.82
31 January 202675.41
28 February 202676.85
31 March 202672.86
30 April 202669.91
31 May 202667.11
30 June 202666.46
31 July 202668.47
31 August 202669.07
11 September 202668.41

How people use AI at work

OpenAI and Anthropic publish data on how people use their own products, so these figures cover ChatGPT and Claude users only.

Share of consumer ChatGPT messages that are work-related, UK and global

Monthly, July 2024 to June 2026. Percentage of sampled messages from adult consumer accounts.
  • UK
  • Global
Share of consumer ChatGPT messages that are work-related, UK and globalLine chart. The global share fell from 51.3% in July 2024 to 30.4% in June 2026. The UK share was 62.3% in July 2024 and 32.3% in June 2026.0%20%40%60%80%20252026UK 32.3%Global 30.4%

A falling work share means non-work messages grew faster than work messages; on its own it does not show work use shrinking.

Source: OpenAI, OpenAI Signals v2.0. CC BY 4.0.
View the data
Share of consumer ChatGPT messages that are work-related, UK and global, percentage of messages
MonthUKGlobal
July 202462.3%51.3%
August 202459.0%48.3%
September 202455.7%46.6%
October 202455.2%45.4%
November 202455.0%43.7%
December 202449.1%40.1%
January 202550.9%40.3%
February 202547.3%38.9%
March 202548.0%37.6%
April 202544.1%35.2%
May 202541.5%35.5%
June 202538.4%33.3%
July 202536.0%31.4%
August 202534.1%30.6%
September 202536.2%33.0%
October 202538.0%33.9%
November 202537.4%33.6%
December 202533.4%30.5%
January 202636.3%30.7%
February 202634.6%30.8%
March 202635.0%31.0%
April 202634.3%31.7%
May 202632.6%30.5%
June 202632.3%30.4%

In May 2026, 55.2% of UK Claude.ai conversations followed an augmentation pattern (iterating, learning or checking work with Claude) and 44.8% an automation pattern (directing Claude to complete a task).

UK Claude.ai use by occupation group, split by interaction pattern

The 10 US occupation groups with the largest share of UK Claude.ai use, May 2026. Bar length is the share of use; the split shows automation-pattern and augmentation-pattern conversations within it.
  • Automation pattern
  • Augmentation pattern
UK Claude.ai use by occupation group, split by interaction patternStacked bar chart. Computer and Mathematical: 20.2% of use, 63.1% automation pattern; Educational Instruction and Library: 15.3% of use, 35.5% automation pattern; Arts, Design, Entertainment, Sports, and Media: 13.5% of use, 29.1% automation pattern; Sales and Related: 9.9% of use, 43.7% automation pattern; Office and Administrative Support: 7.3% of use, 55.5% automation pattern; Management: 5.9% of use, 41.3% automation pattern; Business and Financial Operations: 5.8% of use, 39.5% automation pattern; Life, Physical, and Social Science: 4.4% of use, 36.8% automation pattern; Healthcare Practitioners and Technical: 3.9% of use, 42.2% automation pattern; Community and Social Service: 3.2% of use, 37.7% automation pattern.0%5%10%15%20%25%Computer and Mathematical20.2%Computer and Mathematical: 20.21% of UK Claude.ai use; 63.09% automation pattern, 36.91% augmentation patternEducational Instruction and Library15.3%Educational Instruction and Library: 15.26% of UK Claude.ai use; 35.53% automation pattern, 64.47% augmentation patternArts, Design, Entertainment, Sports, andMedia13.5%Arts, Design, Entertainment, Sports, and Media: 13.53% of UK Claude.ai use; 29.15% automation pattern, 70.85% augmentation patternSales and Related9.9%Sales and Related: 9.94% of UK Claude.ai use; 43.66% automation pattern, 56.34% augmentation patternOffice and Administrative Support7.3%Office and Administrative Support: 7.27% of UK Claude.ai use; 55.51% automation pattern, 44.49% augmentation patternManagement5.9%Management: 5.94% of UK Claude.ai use; 41.26% automation pattern, 58.74% augmentation patternBusiness and Financial Operations5.8%Business and Financial Operations: 5.80% of UK Claude.ai use; 39.51% automation pattern, 60.49% augmentation patternLife, Physical, and Social Science4.4%Life, Physical, and Social Science: 4.44% of UK Claude.ai use; 36.75% automation pattern, 63.25% augmentation patternHealthcare Practitioners and Technical3.9%Healthcare Practitioners and Technical: 3.94% of UK Claude.ai use; 42.18% automation pattern, 57.82% augmentation patternCommunity and Social Service3.2%Community and Social Service: 3.20% of UK Claude.ai use; 37.67% automation pattern, 62.33% augmentation pattern

Patterns describe how people interact with Claude, not whether jobs are automated. Conversations are assigned to groups by the tasks they involve. These 10 groups account for 89.5% of UK Claude.ai use.

Source: Anthropic, Anthropic Economic Index (release of 26 June 2026). CC BY (data).
View the data
UK Claude.ai use by occupation group, split by interaction pattern, May 2026
Occupation group (US SOC)Share of useAutomation patternAugmentation pattern
Computer and Mathematical20.21%63.09%36.91%
Educational Instruction and Library15.26%35.53%64.47%
Arts, Design, Entertainment, Sports, and Media13.53%29.15%70.85%
Sales and Related9.94%43.66%56.34%
Office and Administrative Support7.27%55.51%44.49%
Management5.94%41.26%58.74%
Business and Financial Operations5.80%39.51%60.49%
Life, Physical, and Social Science4.44%36.75%63.25%
Healthcare Practitioners and Technical3.94%42.18%57.82%
Community and Social Service3.20%37.67%62.33%

Which kinds of work AI could already do

The OECD AI Exposure Measure compares what each occupation demands, in domains such as language, problem solving and social interaction, with what current AI can do. A high score means AI capability overlaps with what the work demands.

Potential AI exposure by US occupation group

Reversed AI capability gap index, 0 to 1: higher means current AI already meets more of what the work demands. Unweighted mean of the US occupations in each group.
Potential AI exposure by US occupation groupBar chart of 22 occupation groups, sorted from most to least exposed. Office and Administrative Support is highest at 0.968; Community and Social Service is lowest at 0.723.00.250.500.751Office and Administrative Support0.968Office and Administrative Support (SOC 43): 0.968Production0.924Production (SOC 51): 0.924Food Preparation and Serving Related0.896Food Preparation and Serving Related (SOC 35): 0.896Sales and Related0.888Sales and Related (SOC 41): 0.888Building and Grounds Cleaning and Maintenance0.883Building and Grounds Cleaning and Maintenance (SOC 37): 0.883Farming, Fishing, and Forestry0.882Farming, Fishing, and Forestry (SOC 45): 0.882Transportation and Material Moving0.880Transportation and Material Moving (SOC 53): 0.880Healthcare Support0.878Healthcare Support (SOC 31): 0.878Personal Care and Service0.870Personal Care and Service (SOC 39): 0.870Construction and Extraction0.865Construction and Extraction (SOC 47): 0.865Computer and Mathematical0.864Computer and Mathematical (SOC 15): 0.864Architecture and Engineering0.853Architecture and Engineering (SOC 17): 0.853Installation, Maintenance, and Repair0.847Installation, Maintenance, and Repair (SOC 49): 0.847Business and Financial Operations0.840Business and Financial Operations (SOC 13): 0.840Arts, Design, Entertainment, Sports, andMedia0.823Arts, Design, Entertainment, Sports, and Media (SOC 27): 0.823Life, Physical, and Social Science0.791Life, Physical, and Social Science (SOC 19): 0.791Protective Service0.774Protective Service (SOC 33): 0.774Management0.762Management (SOC 11): 0.762Healthcare Practitioners and Technical0.755Healthcare Practitioners and Technical (SOC 29): 0.755Educational Instruction and Library0.748Educational Instruction and Library (SOC 25): 0.748Legal0.746Legal (SOC 23): 0.746Community and Social Service0.723Community and Social Service (SOC 21): 0.723

This is potential exposure, not job loss. Groups whose work makes low demands in some domains can score highly even where the work is manual. Occupations use US definitions.

Source: OECD, The OECD AI Exposure Measure (AI Capability Gap Index). CC BY 4.0. Group means calculated by The AI Consultancy.
View the data
Potential AI exposure by US occupation group, OECD reversed capability gap index (0 to 1)
Occupation group (US SOC 2018)SOC codeMean index
Office and Administrative Support430.968
Production510.924
Food Preparation and Serving Related350.896
Sales and Related410.888
Building and Grounds Cleaning and Maintenance370.883
Farming, Fishing, and Forestry450.882
Transportation and Material Moving530.880
Healthcare Support310.878
Personal Care and Service390.870
Construction and Extraction470.865
Computer and Mathematical150.864
Architecture and Engineering170.853
Installation, Maintenance, and Repair490.847
Business and Financial Operations130.840
Arts, Design, Entertainment, Sports, and Media270.823
Life, Physical, and Social Science190.791
Protective Service330.774
Management110.762
Healthcare Practitioners and Technical290.755
Educational Instruction and Library250.748
Legal230.746
Community and Social Service210.723

Sector read

How the evidence lines up for 11 sectors The AI Consultancy works with, using US occupations mapped to each sector. Evidence strength is our rating of how much published data covers them; none is rated strong, because every source uses US occupational definitions.

  • Recruitment and professional staffing

    Evidence
    Limited
    OECD exposure (median)
    0.839
    Observed exposure (median)
    0.234
    Share of global Claude.ai use
    0.08%
    Automation pattern
    42.1%

    Evidence is thin. Base decisions on a review of your own workflows, not sector figures.

  • Legal and professional services

    Evidence
    Moderate
    OECD exposure (median)
    0.871
    Observed exposure (median)
    0.167
    Share of global Claude.ai use
    1.55%
    Automation pattern
    38.8%

    Augmentation first: research, drafting and review, with accountable human sign-off.

    Related: Legal, Professional services

  • Finance and investment

    Evidence
    Moderate
    OECD exposure (median)
    0.854
    Observed exposure (median)
    0.234
    Share of global Claude.ai use
    1.83%
    Automation pattern
    45.5%

    Separate transaction processing, where automation fits, from advice and compliance, which need sign-off.

    Related: Financial services

  • Property and real estate

    Evidence
    Limited
    OECD exposure (median)
    0.829
    Observed exposure (median)
    0.213
    Share of global Claude.ai use
    0.12%
    Automation pattern
    49.5%

    Too little task-level usage data to support sector claims.

  • Customer service

    Evidence
    Moderate
    OECD exposure (median)
    0.960
    Observed exposure (median)
    0.386
    Share of global Claude.ai use
    1.03%
    Automation pattern
    41.8%

    Exposure is high, but observed use leans towards AI-assisted responses with escalation, not unattended handling.

  • Administrative operations

    Evidence
    Moderate
    OECD exposure (median)
    0.995
    Observed exposure (median)
    0.213
    Share of global Claude.ai use
    3.62%
    Automation pattern
    62.4%

    The clearest case for automation-oriented reviews of records, data entry and formatting work.

  • Marketing and content

    Evidence
    Moderate
    OECD exposure (median)
    0.830
    Observed exposure (median)
    0.283
    Share of global Claude.ai use
    11.43%
    Automation pattern
    33.6%

    Heavy use that leans towards augmentation: capacity and quality gains, with editorial judgement kept human.

  • Software and IT

    Evidence
    Moderate
    OECD exposure (median)
    0.901
    Observed exposure (median)
    0.337
    Share of global Claude.ai use
    22.01%
    Automation pattern
    65.8%

    The heaviest, most automation-leaning use; coding agents sit largely outside this data.

  • Education

    Evidence
    Moderate
    OECD exposure (median)
    0.730
    Observed exposure (median)
    0.099
    Share of global Claude.ai use
    12.85%
    Automation pattern
    42.6%

    Heavy use alongside comparatively low OECD exposure: support tasks around teaching are the likelier fit.

  • Construction

    Evidence
    Limited
    OECD exposure (median)
    0.866
    Observed exposure (median)
    0.000
    Share of global Claude.ai use
    0.11%
    Automation pattern
    64.7%

    Usage is close to zero; relevance lies in estimating, records and coordination, not site work.

  • Logistics

    Evidence
    Limited
    OECD exposure (median)
    0.935
    Observed exposure (median)
    0.008
    Share of global Claude.ai use
    0.56%
    Automation pattern
    48.1%

    OECD exposure is high partly because manual demands are low; opportunities sit in clerical and planning tasks.

    Related: Logistics and transport

Sources: OECD AI Exposure Measure; Anthropic Economic Index, including its labour market impacts data for observed exposure. Sector mapping and medians by The AI Consultancy.

What this data does and does not tell you

  • Exposure is not automation. The OECD measure shows where AI capability overlaps with what work demands, not what employers have automated.
  • Automation is not job loss. An automation-pattern conversation with Claude, or a business automating a task, does not mean a role has gone.
  • Provider data describes that provider’s users. ChatGPT and Claude figures cover their users, not the UK labour market.
  • Job adverts that mention AI are advertised demand, not adoption. A posting can mention AI without being an AI role.
  • A share of businesses is not a share of workers. ONS weights by business count, so a small firm counts the same as a large one.
  • Occupations use US definitions. Neither the OECD nor the Anthropic measure is published using UK occupational definitions.

Methodology and sources

Every figure on this page is generated from The AI Consultancy’s research repository, which keeps each source’s published files and checks weekly for new releases. No figure is typed by hand, and sources are never merged into one score.

Office for National Statistics: Business Insights and Conditions Survey (BICS): AI questions

Measure
Official survey estimate: share of UK businesses, weighted by business count
Population
UK businesses with 10 or more employees, weighted by count
Release
BICS wave 159 (reissued 7 July 2026), dated 7 July 2026. Data: 18 September 2023 to 28 June 2026.
Changes made
Share using at least one AI technology calculated by The AI Consultancy as 1 minus 'does not currently use' minus 'not sure'; shares converted to percentages.
Limitations
  • Proportions of businesses weighted by count: they describe businesses, not workers, employment or intensity of use. ONS headlines businesses with 10 or more employees because the weights for micro businesses (0 to 9 employees) can have a disproportionate influence on the all-business figure.
  • AI use is measured as a list of technologies, so light and embedded use count the same as extensive use.
  • Workforce and headcount questions are business-reported perceptions, not measured employment change.
Attribution
Source: Office for National Statistics, Business Insights and Conditions Survey. Contains public sector information licensed under the Open Government Licence v3.0. Licence

Indeed Hiring Lab: AI Tracker

Measure
Job postings platform data: share of job postings on Indeed mentioning AI, seven-day trailing average
Population
Job postings on Indeed in each country the tracker covers (all occupations)
Release
AI_posting.csv, data to 31 August 2026, dated 10 September 2026. Data: 1 January 2019 to 31 August 2026.
Changes made
Month-end values selected from the daily series; values rounded to two decimal places.
Limitations
  • Measures employer demand advertised on Indeed, not AI adoption, use of AI at work, productivity or job losses.
  • Share of postings, not of vacancies or employment; a rising share can reflect falling total postings, so read with the postings index.
  • Hiring Lab revises the full history at each update: values quoted from an earlier file (or a Hiring Lab article) can differ from the current file without any labour-market change.
Attribution
Indeed Hiring Lab, AI Tracker, https://github.com/hiring-lab/ai-tracker, licensed under CC BY 4.0. Licence

Indeed Hiring Lab: Job Postings Index (GB)

Measure
Job postings platform data: index of total job postings on Indeed, seasonally adjusted, 1 February 2020 = 100
Population
All job postings on Indeed in GB
Release
aggregate_job_postings_GB.csv, data to 11 September 2026, dated 15 September 2026. Data: 1 February 2020 to 11 September 2026.
Changes made
Month-end values selected from the daily series.
Limitations
  • Hiring Lab revises the full history at each update: values quoted from an earlier file (or a Hiring Lab article) can differ from the current file without any labour-market change.
  • Deduplication is designed for the job seeker experience, not accurate counting (Hiring Lab data FAQ).
Attribution
Indeed Hiring Lab, Job Postings Index, https://github.com/hiring-lab/job_postings_tracker, licensed under CC BY 4.0. Licence

OpenAI: OpenAI Signals v2.0

Measure
Observed usage: share of sampled consumer ChatGPT messages classified as work-related
Population
Consumer ChatGPT messages (Free, Plus, Pro and Go), adult accounts; excludes enterprise and Codex
Release
OpenAI Signals v2.0, dated 6 August 2026. Data: July 2024 to June 2026.
Changes made
Shares converted to percentages.
Limitations
  • Consumer ChatGPT only: understates business use (stated by OpenAI).
  • Differentially private shares rounded to 3 decimals (5 for O*NET IWA); small cells are noisy.
  • v2.0 restated earlier periods: historical values can change between releases without any labour-market change.
Attribution
Chatterji, Cunningham, Deming, Hitzig, Johnston, Richmond, Ong, Shan and Wadman, "OpenAI Signals v2.0", https://cdn.openai.com/signals/data-dictionary.pdf, licensed under CC BY 4.0. Licence

Anthropic: Anthropic Economic Index (release of 26 June 2026)

Measure
Observed usage: share of Claude.ai conversations, and the interaction pattern (automation or augmentation) of that use
Population
Claude.ai chat and Cowork conversations (Free, Pro and Max plans)
Release
release_2026_06_26 (6th report, 'Cadences'), dated 26 June 2026. Data: 1 to 31 May 2026.
Changes made
Top ten UK occupation groups selected by share of use; sector figures aggregated by The AI Consultancy.
Limitations
  • Claude users only; skewed towards computer and mathematical work; not representative of the labour market.
  • Occupation assignment is inferred from conversation content mapped to O*NET tasks, not from users' actual jobs.
  • Automation/augmentation describes how people interact with Claude, not whether jobs are automated.
Attribution
Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller and McCrory, "Anthropic Economic Index report: Cadences", 26 June 2026. Data released under CC BY. Licence

Anthropic: Anthropic Economic Index: labour market impacts data (job exposure)

Measure
Usage-weighted exposure: observed exposure score per US occupation, 0 to 1
Population
US SOC occupations; usage from Anthropic Economic Index samples (August and November 2025)
Release
labour market impacts data, dated 5 March 2026. Data: Single release, not a time series.
Changes made
Sector medians calculated by The AI Consultancy.
Limitations
  • Claude users only; skewed towards computer and mathematical work; not representative of the labour market.
  • Observed exposure weights automated use at full value and augmented use at half value (Anthropic judgement calls, stated in the report).
Attribution
Anthropic, Anthropic Economic Index, labour market impacts data (job_exposure.csv), 5 March 2026, https://huggingface.co/datasets/Anthropic/EconomicIndex. Data released under CC BY. Licence

OECD: The OECD AI Exposure Measure (AI Capability Gap Index)

Measure
Capability exposure: reversed normalised AI capability gap index, higher means more exposed
Population
US O*NET-SOC occupations with Skills, Abilities and Work Context data; no employment weighting
Release
OECD Artificial Intelligence Papers No. 59, dated 26 May 2026. Data: Single release, not a time series.
Changes made
Occupation values averaged by US SOC major group (unweighted mean) and summarised by sector (median) by The AI Consultancy.
Limitations
  • Measures potential exposure (capability versus occupational requirements), not usage, adoption or employment effects.
  • Reversed normalised index is provided 'for comparison reasons'; the total gap index is the primary measure (lower = more exposed).
  • The total index weights each domain gap by its importance to the occupation; OECD states rankings should be read together with domain-level results, and low-demand manual occupations can score as highly exposed.
Attribution
OECD (2026), The OECD AI Exposure Measure: Mapping the OECD AI Capability Indicators to Occupations, OECD Artificial Intelligence Papers, No. 59, OECD Publishing, Paris, https://doi.org/10.1787/f3da0f0a-en, licensed under CC BY 4.0. Licence

OECD adaptation notice

This is an adaptation of an original work by the OECD. The opinions expressed and arguments employed in this adaptation should not be reported as representing the official views of the OECD or of its Member countries.

O*NET credit

This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. The AI Consultancy has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET database | CC BY 4.0

Update log

Data last updated 15 September 2026, the date of the newest source release included. Sources are checked weekly; the page changes only when a source publishes new data.

  • : Tracker launched

    First publication, using the latest releases from the Office for National Statistics, Indeed Hiring Lab, OpenAI Signals, the Anthropic Economic Index and the OECD AI Exposure Measure.

Frequently asked questions

Which jobs are most at risk from AI in the UK?

None of the sources in this tracker measures which UK jobs are at risk, so it reports exposure. On the OECD AI Exposure Measure, Office and Administrative Support is the most exposed of 22 US occupation groups (0.968) and Community and Social Service the least (0.723). Exposure means AI capability overlaps with the work; it is not a forecast of automation or job loss.

Is AI reducing jobs in the UK?

The data does not show that directly. In ONS survey wave 159, among UK businesses with 10 or more employees using AI or unsure whether they do, 5.0% reported reduced headcount, 56.6% no change and 20.4% were not sure. These are businesses' own reports, not measured employment change.

How many UK businesses use AI?

34.9% of UK businesses with 10 or more employees used at least one AI technology in ONS survey wave 159 (15 to 28 June 2026), up from 11.9% in wave 92 (18 September to 1 October 2023). It is a share of businesses, not of workers.

Are more UK job adverts mentioning AI?

Yes. 9.66% of UK job postings on Indeed mentioned AI on 31 August 2026, against 4.90% a year earlier and 6.74% in the US. A posting counts when it mentions AI-related keywords, so this is advertised demand, not a count of AI roles.

How often is the UK AI Jobs Tracker updated?

When a source publishes new data. Sources are checked weekly; the newest release included is dated 15 September 2026.

The tracker changes when a source publishes new data. Subscribe to get the update when new data lands.

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