East of England · Population 215,664 · GVA £5,800m
Peterborough grew fast on the logistics boom — warehouse after warehouse springing up along the A1 corridor, each one a bet that goods would always need human hands to process them. Transport at 9.6%, admin at 11.4%, retail at 11.2%, and manufacturing at 9.8% create a vulnerability profile where four of the highest-risk sectors all clock in near double digits. The city's population growth has outpaced its economic sophistication, creating a workforce that's large but concentrated in exactly the wrong sectors. The new Peterborough University partnership with ARU is the most significant investment in the city's long-term future, but it's starting from a very low base — a city of 215,000 that until recently had no university at all. The challenge isn't just retraining existing workers; it's creating the educational infrastructure that makes retraining possible at scale.
Peterborough grew fast on cheap warehouse space and EU labour willing to work night shifts in fulfilment centres, and somehow the council convinced itself this was an economic strategy rather than a geographical coincidence. Admin at 11.4%, retail at 11.2%, transport at 9.6%, manufacturing at 9.8% — it's not an economy, it's a holding pattern before the robots arrive. The Queensgate Centre is doing that slow-motion thing where anchor tenants leave and get replaced by phone repair shops and temporary Halloween stores. The city got a university approximately forty years after it needed one, and now has maybe a decade to turn that into a skills pipeline before the logistics sector decides humans are optional. Peterborough's pitch to investors is basically 'we're on the A1 and we're cheap,' which is the kind of value proposition that works right up until the point where cheap human labour is more expensive than no human labour. The city grew by 25% in twenty years and built almost no educational or cultural infrastructure to match. That's not growth — that's swelling.
The Peterborough University partnership with ARU and Cambridgeshire is the single most important investment in the city's future — scale it aggressively toward AI, data science, green technology, and logistics management. The city needs to transition from providing warehouse labour to providing the skills that manage automated warehouses. Work with the major logistics operators (Amazon, GXO, Culina) to create automation transition programmes tied to planning permissions — every new warehouse should come with a training obligation. The city centre needs a radical rethink: Queensgate can't compete with online retail, so repurpose it around the university, community services, and workspace. Peterborough's environmental credentials (the Green Backyard, the first Environment Capital programme) could be leveraged into a genuine green tech identity — but only with sustained investment, not just slogans.
They'll celebrate each new warehouse approval as 'job creation' and 'investment,' measuring success in planning applications rather than asking whether the jobs being created have a ten-year life expectancy. The university will be mentioned in every strategy document as a 'game-changer' while receiving a fraction of the investment it needs to actually change anything. Amazon will open another facility with great fanfare, employ 500 people, automate a third of the roles within two years, and nobody will write the follow-up story. Someone will propose a 'Peterborough Green Innovation Centre' that gets to the feasibility study stage and stalls. The Queensgate Centre will get a new owner who announces 'exciting plans' that amount to a food court and better parking. The actual workforce transition — tens of thousands of logistics and admin workers who need to become something else — will be handled by a JobCentre that still categorises 'warehouse operative' as a growth occupation. Peterborough will keep growing in population and stagnating in prosperity, which is the worst of both worlds.
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 |
|---|---|---|---|---|
| Administrative & Support Services | 11.4% | 0.85 | high | 9.69 |
| Retail | 11.2% | 0.8 | high | 8.96 |
| Manufacturing | 9.8% | 0.82 | high | 8.04 |
| Transport & Storage | 9.6% | 0.78 | high | 7.49 |
| Human Health & Social Work | 8.4% | 0.18 | low | 1.51 |
| Education | 7.8% | 0.15 | low | 1.17 |
| Financial & Insurance Services | 6.8% | 0.75 | high | 5.1 |
| Wholesale | 6.4% | 0.55 | medium | 3.52 |
| Accommodation & Food Services | 5.8% | 0.48 | medium | 2.78 |
| Construction | 5.6% | 0.28 | low | 1.57 |
| Public Administration & Defence | 4.6% | 0.22 | low | 1.01 |
| Professional, Scientific & Technical | 4.2% | 0.3 | low | 1.26 |
| Information & Communication | 3.1% | 0.5 | medium | 1.55 |
| Arts, Entertainment & Recreation | 3.0% | 0.2 | low | 0.6 |
| Agriculture, Forestry & Fishing | 1.4% | 0.25 | low | 0.35 |
| Real Estate | 0.9% | 0.4 | medium | 0.36 |
The vulnerability score is a weighted average of Peterborough'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 82.4 means Peterborough's workforce is significantly concentrated in automatable sectors compared to other United Kingdom cities.