South East · Population 208,100 · GVA £6,800m
Portsmouth has a structural advantage that most cities would envy and few would admit to wanting: its economy is heavily anchored by the military and the NHS, two institutions that automate slowly and employ locally. Public administration at 10.4% (boosted by the naval base) and health at 13.8% together account for nearly a quarter of all employment — a floor of demand that's determined by national security policy and healthcare need rather than market forces. Retail at 9.4% and admin at 9.2% create the familiar vulnerability surface, but at lower levels than most comparable cities. Portsmouth's score reflects this genuine structural protection. The risk isn't automation per se — it's what happens if the MOD ever decides the dockyard is expendable, at which point the entire economic model collapses overnight.
Portsmouth's economic strategy is basically 'the Navy is here and people get ill,' and you know what? In the age of AI, that's a better strategy than most. Health at 13.8%, public admin at 10.4% — nearly a quarter of the workforce is in sectors where robots can't do the job and algorithms can't replace the judgement. It's not glamorous, but it's more robot-proof than anything Swindon or Slough came up with. The dockyard repairs nuclear submarines, which is not the kind of work you hand over to a chatbot, and Derriford Hospital will need nurses long after the last admin assistant has been replaced by a workflow automation tool. The problem is everything else. Gunwharf Quays is a designer outlet mall on the waterfront that looks like what happens when an architect googles 'maritime regeneration' and clicks 'I'm feeling lucky.' Commercial Road is the actual high street, and it has the energy of a place that peaked when Woolworths was alive. Portsmouth exists because the Navy needs a harbour, and the harbour needs a city. When that equation changes — and it might not, but it might — Portsmouth becomes Gosport, and nobody wants to become Gosport.
The defence technology sector is Portsmouth's unique advantage — develop it aggressively into a cybersecurity, maritime autonomous systems, and defence AI cluster. The naval base creates permanent demand for these capabilities; ensure local firms and graduates capture the work rather than letting it flow to BAE in Farnborough or consultancies in London. QA Hospital's health sector should be developed with health-tech partnerships: telemedicine for the South Coast, clinical AI applications, and digital health record systems. The University of Portsmouth should build on its computing and cybersecurity programmes to create a talent pipeline that stays local. Southsea's creative and cultural economy is genuine and worth protecting with affordable workspace — it adds quality of life that attracts knowledge workers.
They'll talk about being a 'defence tech hub,' launch a 'Portsmouth Cyber' brand with a website and a logo, and attract three cybersecurity firms that employ twelve people each. The actual defence contracts will continue being won by BAE, Lockheed Martin, and QinetiQ — companies with offices in Portsmouth and decision-making in London. The dockyard will remain because nuclear submarines need maintaining, and this will be presented as economic development rather than what it actually is: strategic dependency. Gunwharf Quays will get another restaurant. Commercial Road will lose another shop. Someone will propose a 'Solent Innovation Zone' that competes with Southampton for the same investment and ends up splitting the same inadequate pot. The university will produce cybersecurity graduates who are immediately recruited by firms in Reading and London. Southsea will continue being pleasant and slightly expensive, attracting retirees and remote workers while the actual employment challenge persists two miles up the road. Portsmouth's economic plan is to hope the Navy stays. It's not much of a plan, but given the alternatives in this dataset, it's a surprisingly good one.
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 |
| Public Administration & Defence | 10.4% | 0.22 | low | 2.29 |
| Education | 9.6% | 0.15 | low | 1.44 |
| Retail | 9.4% | 0.8 | high | 7.52 |
| Administrative & Support Services | 9.2% | 0.85 | high | 7.82 |
| Accommodation & Food Services | 7.2% | 0.48 | medium | 3.46 |
| Financial & Insurance Services | 6.4% | 0.75 | high | 4.8 |
| Professional, Scientific & Technical | 5.8% | 0.3 | low | 1.74 |
| Manufacturing | 5.2% | 0.82 | high | 4.26 |
| Transport & Storage | 4.8% | 0.78 | high | 3.74 |
| Information & Communication | 4.8% | 0.5 | medium | 2.4 |
| Construction | 4.6% | 0.28 | low | 1.29 |
| Arts, Entertainment & Recreation | 3.9% | 0.2 | low | 0.78 |
| Wholesale | 3.8% | 0.55 | medium | 2.09 |
| Real Estate | 1.0% | 0.4 | medium | 0.4 |
| Agriculture, Forestry & Fishing | 0.1% | 0.25 | low | 0.03 |
The vulnerability score is a weighted average of Portsmouth'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 61.3 means Portsmouth's workforce is significantly concentrated in automatable sectors compared to other United Kingdom cities.