Two roles grow when agents take automation testing

When AI agents take on the repetitive work of automation testing, two human roles grow in value: the quality strategists who decide what to test and why, and the exception handlers who judge the edge cases agents flag but cannot resolve.
Author

Axel Pividori

Job Title

Quality Assurance & Business Analyst

What does AI-transformation hiring look like in the UK right now?

Demand is building fast, and the numbers are large. Across all AI-related occupations, the projected net change ranges from roughly 696,000 jobs in the automation scenario to 1,072,000 in the technological opportunities scenario, with replacement demand rising from 3,077,000 to 3,193,000 jobs AI Skills for Life and Work: Labour market and skills projections - GOV.UK. That replacement figure matters: even where automation absorbs routine tasks, people still need hiring and training to fill the roles that remain.

The picture in manufacturing shows where the pressure lands first. Six in ten (59%) manufacturers cited automation and half (50%) cited wider digitalisation as the trends changing jobs and skills needs, and 74% expect demand for cognitive and meta-cognitive skills to increase by 2030 Make UK – 2030 Skills: Closing the Gap. In short, as machines take the mechanical work, the market wants more judgement, not less.

Which two roles grow when agents take automation testing?

The first is the quality strategist. When an agent can write and run test cases in seconds, the scarce skill becomes deciding what to test, what risk to accept, and how to read coverage against real business impact. That is exactly the kind of cognitive work expected to grow, with 74% of manufacturers anticipating higher demand for cognitive and meta-cognitive skills by 2030 Make UK – 2030 Skills: Closing the Gap.

The second is the exception handler. Agents are strong at the repeatable majority, but they still surface edge cases that need a human call: ambiguous requirements, flaky integrations, and results that look right but are not. This role sits close to the redeployment trend, where 40% of manufacturers are looking to upskill their existing workforce for redeployment as a result of automation and digitalisation Make UK Executive Survey 2026. The people who knew the old system often make the best exception handlers for the new one.

How do you hire well for these roles?

Start with the skill, not the tool. Agents change quickly, so hire for the judgement that lasts: risk prioritisation, systems thinking, and clear communication with engineering and product. The data backs a build-and-buy approach, with 40% of manufacturers looking to upskill their existing workforce for redeployment Make UK Executive Survey 2026. Pair internal upskilling with targeted external hires where you need capability you cannot grow in time.

Plan for scale, too. With replacement demand across AI-related occupations projected between 3,077,000 and 3,193,000 jobs, competition for proven people is only going one way AI Skills for Life and Work: Labour market and skills projections - GOV.UK. Write role scopes around outcomes, test for how someone reasons through a messy case, and move quickly once you find the right person.

How do you hire for these roles?

Search a database of 15 million candidates and rank a shortlist in under 30 seconds, so you can find quality strategists and exception handlers without the long wait. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Ready to build the team behind your testing agents? Start your search with Reed.ai today.

Sources

Axel Pividori
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