Discover NN15|North Northamptonshire

This is about the tasks in the job, not whether there will be jobs. It does not predict job losses. It describes what generally available AI tools could help with today, based on the jobs residents do. It is not a forecast.

Residents in work in North Northamptonshire (178,852 people)

• A small part 56.8%
• Some 18.1%
• Much 24.1%
• Not yet assessed 1%

England and Wales for comparison

• A small part 50.8%
• Some 19.4%
• Much 28.5%
• Not yet assessed 1.3%

Small, some and much are always shown together because no single score describes a job. They add up to 100%. "Not yet assessed" means we have no reliable rating for those occupations; it does not mean low or high. At least 16.9% of residents work in occupation groups where every assessed career is rated "much" (20% in England and Wales).

CareerMash staging data (11 Oct 2026), approved by the owner for this preview, subject to change; not yet independently validated

The same mix, split by the nine broad groups of occupation. Groups differ a lot: the local mix depends on which occupations are common here.

• A small part
• Some
• Much
• Not yet assessed

• Managers, directors and senior officials12.2% of residents in work (12.8% in England and Wales)
  74.4%22.6%
• Professional occupations15% of residents in work (20.2% in England and Wales)
  23.4%28.2%42.7%
• Associate professional and technical occupations11.4% of residents in work (13.2% in England and Wales)
  32.4%18.6%48.1%
• Administrative and secretarial occupations9.4% of residents in work (9.3% in England and Wales)
  9.3%88.9%
• Skilled trades occupations10.9% of residents in work (10.3% in England and Wales)
  95.1%
• Caring, leisure and other service occupations8.8% of residents in work (9.4% in England and Wales)
  95.9%
• Sales and customer service occupations7.5% of residents in work (7.5% in England and Wales)
  79.7%7.9%12.2%
• Process, plant and machine operatives9.9% of residents in work (7% in England and Wales)
  95.7%
• Elementary occupations15% of residents in work (10.5% in England and Wales)
  98.9%

CareerMash staging data (11 Oct 2026), approved by the owner for this preview, subject to change; not yet independently validated

Alongside exposure, each occupation is rated on whether the work itself depends on a person. These are separate questions: work can be speeded up by tools and still need someone present, trusted or accountable.

• Done in person or with your handsMuch of this work has to be done in person, with your hands or on site.44.4%
• Depends on working with peopleMuch of this work depends on working directly with people.10.5%
• Needs a registered or accountable personThis work needs a qualified or registered person to take responsibility.15.2%
• Nothing in the work itself requires a person23.1%
• Not yet classified5.7%
• Not assessed1%

This place England and Wales

Share of employed residents. "Done in person" is about presence, not about robots: it is not a measure of physical automation. From OpenAI's AI Jobs Transition Framework (2026), matched to careers by Careermash. UK statutory-register rules and recorded Careermash overrides also apply.

CareerMash staging data (11 Oct 2026), approved by the owner for this preview, subject to change; not yet independently validated

What residents in work do for a living, by industry, compared with England and Wales. This is where people live, not where businesses are.

• Wholesale and retail trade; repair of motor vehicles and motorcycles1.4 times the England and Wales share20.8%
• Human health and social work activities0.9 times the England and Wales share13%
• Manufacturing1.6 times the England and Wales share11.6%
• Construction1.1 times the England and Wales share9.3%
• Education0.9 times the England and Wales share8.4%
• Transport and storage1.5 times the England and Wales share7.4%
• Administrative and support service activitiesAbout the same as the England and Wales share5.2%
• Professional, scientific and technical activities0.7 times the England and Wales share4.5%
• Public administration and defence; compulsory social security0.7 times the England and Wales share4.2%
• Accommodation and food service activities0.8 times the England and Wales share3.8%

This place England and Wales

Census 2021, industry of the main job of residents in work (ten largest of 18 groups shown).

These describe firms and industries, not individual jobs. They are not forecasts and do not say anything about job losses.

Three further questions are kept apart from AI exposure. Only the first has a published source that can be tied to industries, so only the first is filled in.

Robots: how common is their use among firms in the industry?

• Wholesale and retail trade; repair of motor vehicles and motorcycles20.8% of residents in work here are in this industry1.2%
• Manufacturing11.6% of residents in work here are in this industry1.6%
• Construction9.3% of residents in work here are in this industry0.7%
• Transport and storage7.4% of residents in work here are in this industry0.9%
• Administrative and support service activities5.2% of residents in work here are in this industry1.4%
• Professional, scientific and technical activities4.5% of residents in work here are in this industry2.1%
• Accommodation and food service activities3.8% of residents in work here are in this industry0.9%
• Information and communication2.9% of residents in work here are in this industry4.5%

Percent of European Union firms with 10 or more employees that use AI-enabled autonomous robots, 2025. All industries covered: 1.4%. This counts how common it is for firms in the industry to use autonomous robots. It says something about how far robotics has reached the industry, not about how many jobs or tasks are affected. It covers a narrow type of robot, so it understates the use of conventional industrial robots, which the survey reports only for all industries combined.

No published figure for: Human health and social work activities; Education; Public administration and defence; Other (arts, entertainment and recreation; other services; households as employers; extraterritorial bodies); Financial and insurance activities; Agriculture, Forestry and fishing; Mining and quarrying. The survey does not cover them, and nothing is inferred.

Science and medical advances

Market and demand

Dimensions are shown separately with no composite score. They describe local circumstances in March 2021 and are not a judgement of residents.

Census 2021, 21 March 2021, during the COVID-19 pandemic. These describe local circumstances, not people's ability to adapt.

CareerMash staging data (11 Oct 2026), approved by the owner for this preview, subject to change; not yet independently validated

Occupation-adjusted estimate, residents, Census 2021 occupations, national mix within each group. Local share of employed residents in each of 104 occupation groups (SOC 2020 three-digit) multiplied by the national mix of CareerMash categories inside that group, weighted by UK employment (ONS APS, April 2025 to March 2026). Small, some, much and not assessed add to 100 percent and are always shown together. The floor is the share of residents in occupation groups where every assessed career is rated "much".

• Resident basis: this counts people where they live, not where they work. Some residents work in other areas.
• Census occupations are as at 21 March 2021, a COVID-19 period. The CareerMash categories are task evidence dated 11 October 2026. This is not a description of current employment.
• Each local figure is an estimate: local occupation shares multiplied by a national mix inside each occupation group. It does not use local employers or local jobs, and a place can differ from the national mix inside a group.
• Occupation groups are weighted by UK employment from the ONS Annual Population Survey (April 2025 to March 2026), a survey with sampling variability. The 2021 Census and that survey count some occupations differently, so the UK survey profile and the England and Wales Census profile are not the same; compare a place with England and Wales on this page, not with UK survey figures.
• Within a SOC unit group the category mix counts each assessed CareerMash career equally; the data holds no per-career employment. 1,547 of 1,840 careers are assessed (293 are withheld and never used). Occupations with no assessed career are shown as "not assessed".
• The exposure categories describe how much of a job's tasks generally available AI tools could speed up. They are not job losses, adoption, robotics or physical automation, and not an outlook for any occupation or place.
• Time shares and categories were estimated by Claude models and have not been independently validated by another model family. CareerMash staging data (11 Oct 2026), subject to change.
• Robot use is shown only for industries where a published figure exists (Eurostat, EU firms). Robotics exposure of occupations, and science and market effects, are not yet assessed.

• This section describes how occupations and industries of residents compare, using Census 2021 and CareerMash staging data. It does not forecast jobs, job losses, adoption of technology or the future of any place.
• Not shown, by design: any numeric score for an occupation or place, rankings of places, any figure for withheld careers, robotics exposure of occupations, science or market effects, and task text.
• Market effects and science effects are shown only where a cited, documented mechanism has been loaded. None is loaded in this version, so they read "not yet assessed". Robot use by industry comes from Eurostat and is added by exposure_ext.js.

CareerMash staging data (11 Oct 2026), approved by the owner for this preview, subject to change; not yet independently validated