South East · Baseline population 229,700
Official ONS figures for the region Brighton sits in, published June to August 2026. These are measured statistics, separate from the structural exposure score above — they are reported here as context and are not an input to it. Region-level data is the finest geography ONS publishes monthly; it is not a Brighton-only figure.
UK average for the same period: unemployment 4.7%, employment 75.3%, inactivity 20.9%. South East ranks 8 of 12 UK regions and countries by unemployment rate.
186,430 people in South East were claiming unemployment-related benefits in September 2026, 3.8% of economically active residents, up 7,245 on September 2025. Among 16–24 year olds the count was 36,510, up 4,145 on the year. Not seasonally adjusted; this is an administrative count, not a survey estimate.
4,273,613 people were on a payroll in South East in September 2026, down 8,550 (0.20%) on the year, against 0.22% down across the UK as a whole. This is an administrative count of actual payroll records, not a survey estimate. The most recent month is a provisional flash estimate and is routinely revised.
The two UK-wide measures of employees disagree. On ONS's own like-for-like
comparison, HMRC payroll (RTI) records show payrolled employees
down 92,000 over the
year and down
37,000 over the quarter in
June to August 2026. Over the same period the Labour Force Survey shows employees
up 314,000 to
29.9 million. The provisional September
flash estimate puts payrolled employees at
30.3 million, down
66,000 on the year.
ONS attributes part of the LFS employee increase to improvements in the survey since January 2024, which have obtained more responses from employed people. Levels have therefore moved closer to RTI, but ONS cautions that LFS measures of change 'may be less aligned with RTI because they capture both real labour market shifts and changes arising from the survey improvements'. The divergence is concentrated in the 25 to 34 year old age group, which ONS is still investigating.
ONS's view remains that RTI 'currently provides the most reliable measure of employees'. As of the October 2026 release this statement appears in the LFS quality update rather than in the labour market overview bulletin itself.
We surface both rather than quietly picking one.
The August 2026 flash estimate reported a fall of 145,000 on the year; the confirmed figure is 111,000. Flash estimates are provisional and are routinely revised when more data arrive, so the September flash of -66,000 should be read as the least settled number here.
ONS research linking RTI
to the LFS, published 28 September 2026:
Linked HMRC PAYE data showed a stronger recovery in employment after the pandemic and a smaller, less prolonged rise in economic inactivity than the published LFS estimates alone suggested. It also suggested the LFS recovery during 2024 and 2025 may have reduced non-response bias, since using the linked payroll data made only a small difference to the level of employment and inactivity estimates in 2025. ONS describes the work as exploratory and is continuing the analysis.
The survey side is UK-wide; ONS publishes no regional split of this comparison. The payroll side is parsed from the ONS reference table (rtisaoct2026.xlsx). Source: ONS Labour market overview, UK: October 2026, released 20 October 2026. Next release 17 November 2026.
Sources. ONS Labour market overview, UK (time series API); ONS Labour market in the regions of the UK (Table 2, annual changes); ONS Annual Population Survey, via NOMIS (variables, percentages); Claimant count by sex and age (Universal Credit + JSA), ONS/DWP via NOMIS; Earnings and employment from PAYE Real Time Information, seasonally adjusted (Table 7, payrolled employees by NUTS1 region). Retrieved 2026-10-22. LFS and APS outputs moved from “official statistics in development” to “official statistics” on 11 August 2026 and ONS is not seeking reaccreditation; survey-based detail should be read with that in mind. Contains public sector information licensed under the Open Government Licence v3.0.
Reported UK redundancy events from the CopeCheck Layoffs tracker. These are UK-wide, not Brighton events — the tracker records the country a layoff was reported in, not the town or city, so nothing here is attributed to Brighton.
| Reported | Company | Roles | Sector | Source |
|---|---|---|---|---|
| 2026-08 | University of Essex | 400 | Education | www.bbc.co.uk |
| 2026-08 | Nothing | 100 | Technology | Google Alerts RSS |
| 2026-08 | Travelport | 57 | Technology | Google Alerts RSS |
| 2026-08 | TSB | 130 | Banking | bmmagazine.co.uk |
| 2026-08 | Diageo | 38 | Food & Beverage | drinks-intel.com |
| 2026-08 | WPP | 1,267 | Advertising | gbnews.com |
| 2026-08 | Supermassive Games | 75 | Technology | Google Alerts RSS |
| 2026-08 | RNLI | 75 | Charity/Non-profit | Google Alerts RSS |
74 UK events recorded for 2026, of which 11 are attributed by their source at least partly to AI or automation. Counts are individual reported events, not a national total. The upstream tracker withholds aggregates because source claims may be syndicated, aggregate, planned, aliased or overlapping. These are UK-wide and are not attributed to this city. Compiled from layoffs.fyi, TrueUp, Crunchbase, TechCrunch, and news reports. Snapshot taken 2026-10-22.
Model-generated scenario commentary, not reported fact. Specific claims about future employer or council behaviour are hypothetical; use the sector table, not the prose, as the reproducible input to the score.
Brighton has assembled an economic profile that's distinctly modern in its resilience: information and communications at 8.2%, professional services at 8.8%, education at 11.8%, and health at 13.6% create a workforce weighted toward knowledge, care, and creativity rather than routine processing. The city's appeal to digital nomads, freelancers, and creative professionals means the workforce is actively self-selecting toward AI-resilient roles. Admin at 9.2% and retail at 8.4% are present but below average. The accommodation and food sector at 8.6% reflects a tourism and hospitality economy that's inherently physical and human. Brighton's risk profile is genuinely low — not because of any single anchor institution, but because the city's cultural identity attracts the kinds of workers and businesses that are hardest to automate. It's gentrification as economic strategy, and it works, if you can afford the rent.
Brighton gentrified its way to AI resilience, which is simultaneously the most annoying and the most effective economic strategy in this dataset. When your economy is freelance developers working from coffee shops, yoga instructors with Substack newsletters, university lecturers with side projects, and hospitality workers serving flat whites to all of the above, the robots have surprisingly little to work with. Info-tech at 8.2%, professional services at 8.8%, education at 11.8%, health at 13.6% — it's an economy assembled from the specific sectors that AI researchers admit they can't easily automate, wrapped in sea air and served with avocado on sourdough. The North Laine is a physical manifestation of Brighton's economic model: independent, creative, overpriced, and somehow functioning. The conference centre hosts political party conferences where politicians announce AI strategies for cities that look nothing like Brighton, in a city that doesn't need one. Sussex University's AI research group is excellent. The Brighton Digital Festival exists. Neither has much to do with the economic reality of the average Brighton resident, who works in hospitality or education and spends 55% of their income on rent. Brighton will survive AI displacement the same way it survives everything: by being expensive, creative, and slightly insufferable about both. The people who can't afford it will commute from Worthing, which is the unspoken social contract that keeps the whole thing going.
Brighton's digital and creative cluster is strong but fragmented — invest in shared infrastructure, co-working spaces, and collaborative platforms that help freelancers and micro-agencies scale into serious employers. The city should market itself internationally as a base for AI-era creative businesses: ethical tech, digital arts, climate communications, and responsible AI consultancy all fit the Brighton brand. The University of Sussex and University of Brighton should coordinate on digital skills provision that serves the local creative economy. The city's biggest vulnerability isn't automation — it's affordability. If creative workers and digital professionals can't afford to stay, the resilience evaporates. Housing and workspace affordability are economic development priorities, not just social ones.
Brighton will keep being Brighton: expensive, creative, and slightly smug about it. The freelancers will pivot to 'AI-assisted' versions of whatever they were already doing — AI-assisted graphic design, AI-enhanced content strategy, AI-optimised yoga scheduling — and charge 20% more. It'll probably work, because Brighton's client base is other freelancers and agencies who understand the hustle. Someone will propose a 'Brighton AI Festival' that's really a series of panels at the Dome attended by people who already follow each other on LinkedIn. The Digital Festival will continue existing in that space between 'successful' and 'relevant.' The North Laine will lose two independent shops and gain two different independent shops that sell the same things at slightly higher prices. The universities will produce graduates in digital media who become freelancers in Brighton because the salary gap between Brighton employment and London employment isn't worth the commute. The conference centre will host events about the future of work attended by people whose work isn't at risk. And the cleaners, carers, and hospitality workers who actually keep Brighton functioning will continue living in Portslade, Shoreham, and Worthing, commuting in to service an economy that celebrates inclusivity from a position of comprehensive exclusivity. Brighton's resilience is real for the people who can afford to participate in it. For everyone else, it's just expensive.
Historical employment share by broad sector, with CopeCheck's heuristic exposure weight and contribution to the relative score. Higher weights contribute more; they are not probabilities.
| Sector | Employment % | Exposure Weight | Exposure Tier | Contribution |
|---|---|---|---|---|
| Human Health & Social Work | 13.6% | 0.18 | low | 2.45 |
| Education | 11.8% | 0.15 | low | 1.77 |
| Administrative & Support Services | 9.2% | 0.85 | high | 7.82 |
| Professional, Scientific & Technical | 8.8% | 0.3 | low | 2.64 |
| Accommodation & Food Services | 8.6% | 0.48 | medium | 4.13 |
| Retail | 8.4% | 0.8 | high | 6.72 |
| Information & Communication | 8.2% | 0.5 | medium | 4.1 |
| Financial & Insurance Services | 5.8% | 0.75 | high | 4.35 |
| Public Administration & Defence | 5.8% | 0.22 | low | 1.28 |
| Arts, Entertainment & Recreation | 4.8% | 0.2 | low | 0.96 |
| Construction | 3.8% | 0.28 | low | 1.06 |
| Manufacturing | 3.4% | 0.82 | high | 2.79 |
| Transport & Storage | 3.4% | 0.78 | high | 2.65 |
| Wholesale | 2.6% | 0.55 | medium | 1.43 |
| Real Estate | 1.6% | 0.4 | medium | 0.64 |
| Agriculture, Forestry & Fishing | 0.2% | 0.25 | low | 0.05 |
The vulnerability score is a weighted average of Brighton's sector employment shares. Each broad sector carries a CopeCheck heuristic exposure weight (0.0–1.0). Frey & Osborne's study estimated occupation-level susceptibility; it did not publish these sector weights. The bundled city files also lack record-level source dates and ledgers, so this is a historical structural comparison rather than an official current statistic. The weighted average is normalised to a 0–100 scale. A score of 57.1 means Brighton's workforce is moderately concentrated in higher-weighted sectors compared with other United Kingdom cities in this dataset; it does not state a 57.1% probability of displacement.