South West · Population 130,428 · GVA £4,600m
Exeter's dominant health and education sectors — 13.8% and 12.2% respectively, together approaching 26% of all employment — place it firmly in the lower-risk tier of this dataset. Add the Met Office (one of the world's most advanced weather and climate modelling operations) and the university's research strength, and you've got a city with genuine knowledge-economy anchors that most comparably sized towns lack. Retail at 9.4% and admin at 8.4% create some vulnerability, and the Exeter economy is arguably too dependent on the public sector for a city of its size. But in a world where AI displaces routine cognitive and physical work, Exeter's concentration in sectors that require human judgement, presence, and specialist expertise is a meaningful structural advantage.
Exeter's biggest employers are a hospital, a university, and the Met Office — an institution that predicts the future using supercomputers, which is more than most cities' economic development teams can manage. AI can't do surgery, can't babysit freshers during Freshers' Week, and can't stand in front of a weather map on local television with the requisite gravity, so Devon's county town sleeps reasonably easy. The High Street is still functioning, partly because Exeter's catchment area includes half of Devon and you have to drive an hour to find an alternative. Princesshay is the pleasant shopping centre that proves you can build attractive retail space and still lose tenants to the internet. The Quay is scenic, the cathedral is magnificent, and the economic development ambition is approximately as high as the river is deep — which is to say, passable but not impressive. Exeter has the Met Office doing genuine frontier climate AI, a university doing genuine frontier bioscience, and a city economy that mostly revolves around schools, hospitals, and cream teas. The resilience is real. The ambition to be more than resilient is... detectable, if you squint.
The Met Office is a world-class AI and climate modelling operation sitting right in the city — build a data science and climate-tech cluster around it. Exeter's position as a climate and environmental science hub is a genuine competitive advantage that should be marketed internationally. The university's bioscience and medical research should be commercialised locally with dedicated incubation and spin-out support. The city should also develop its role as the service centre for the South West: legal, financial, and professional services that serve Devon and Cornwall from a base with better connectivity and talent access. Digital infrastructure investment in the rural hinterland could make Exeter a hub for distributed working across the region.
They'll commission a 'Climate Innovation Exeter' strategy, hold workshops at the university, produce a nice PDF, and continue being a pleasant county town that happens to host the Met Office. The Met Office will continue doing world-class work that has essentially nothing to do with the rest of Exeter's economy — the supercomputers don't buy lunch in the Guildhall. Someone will propose an 'Exeter Science Park Phase 3' that takes five years to approve and three years to build, by which time the technology it was designed for is obsolete. The university will produce excellent graduates who move to Bristol, London, or abroad. The hospital will keep hiring because Devon has an ageing population, which is less of an economic strategy and more of a demographic inevitability. Princesshay will get a new restaurant. The Quay will host a food festival. Exeter will remain in the comfortable lower half of every risk table and the comfortable lower half of every ambition table, which is fine — just don't pretend it's a choice rather than a default.
Employment share by SIC sector, with automation risk weight and contribution to overall score. Sectors with higher risk weights contribute more to the vulnerability score.
| Sector | Employment % | Risk Weight | Risk Tier | Contribution |
|---|---|---|---|---|
| Human Health & Social Work | 13.8% | 0.18 | low | 2.48 |
| Education | 12.2% | 0.15 | low | 1.83 |
| Retail | 9.4% | 0.8 | high | 7.52 |
| Administrative & Support Services | 8.4% | 0.85 | high | 7.14 |
| Public Administration & Defence | 7.8% | 0.22 | low | 1.72 |
| Accommodation & Food Services | 7.2% | 0.48 | medium | 3.46 |
| Professional, Scientific & Technical | 7.2% | 0.3 | low | 2.16 |
| Financial & Insurance Services | 6.8% | 0.75 | high | 5.1 |
| Construction | 4.8% | 0.28 | low | 1.34 |
| Information & Communication | 4.6% | 0.5 | medium | 2.3 |
| Manufacturing | 4.2% | 0.82 | high | 3.44 |
| Arts, Entertainment & Recreation | 4.0% | 0.2 | low | 0.8 |
| Transport & Storage | 3.8% | 0.78 | high | 2.96 |
| Wholesale | 3.6% | 0.55 | medium | 1.98 |
| Real Estate | 1.4% | 0.4 | medium | 0.56 |
| Agriculture, Forestry & Fishing | 0.8% | 0.25 | low | 0.2 |
The vulnerability score is a weighted average of Exeter's sector employment shares. Each sector carries an automation risk weight (0.0–1.0) derived from Frey & Osborne's occupational automation probabilities, mapped to SIC sectors via ONS correspondence tables. The weighted average is then normalised to a 0–100 scale. A score of 57.5 means Exeter's workforce is moderately concentrated in automatable sectors compared to other United Kingdom cities.