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AI-resistant hiring

Candidates now have AI to hand at every stage of hiring. Here's where it's affecting your selection process, and how to make sure you're still assessing genuine ability.

Where AI gets into your hiring process

Traditional methods like CVs, written answers and online test performance have become easier to fake at scale with AI. The problem isn't just isolated cheating events but the overall predictive validity of that entire selection stage.

Which hiring stages can AI fake? (2026)

Ben Schwencke, Chief Psychologist

Ben holds an MSc in Organisational Psychology (Birkbeck, University of London), is a BPS Registered Test User in ability and personality testing, and has spent more than 10 years designing psychometric assessments.

1. How vulnerable is each selection method?

CVs, cover letters and competency answers can be generated or polished by AI in seconds, so writing quality no longer signals candidate ability.

Find out what's vulnerable

2. The methods candidates are using to cheat

Static tests can be copied, pasted or screenshotted into an AI tool for an instant answer. Here are some of the methods used to cheat.

Candidate cheating tactics

What happens if you let AI interfere?

Scores stop predicting performance

When results partly reflect access to AI tools, you no longer measure the genuine ability that predicts job performance.

The wrong people reach interview

The strongest applications on paper are no longer reliably the strongest candidates, so weaker candidates might progress.

Honest candidates lose out

Those who truthfully complete their tests will likely rank below those using AI, undermining fair and inclusive hiring.

How we prevent AI-cheating in our assessments

We build AI-resistance into the test format itself, rather than relying on surveillance. Choose the approach that fits your process and your candidates.

Signals test screen showing the stem on its own, with the note that questions will appear next

Signals™ series

Familiar reasoning tests, redesigned to make AI assistance harder.

Best for: teams who want to keep a traditional test format, with stronger AI-resistance than standard online tests.

  • Quickfire questions. Candidates review the passage, chart or table first, then answer a rapid run of questions, leaving too little time to copy each one into an AI tool.
  • A traditional format. Recognisable numerical, verbal and critical thinking questions, so the candidate experience is familiar.
MindmetriQ game-based assessments on two mobile phones

MindmetriQ™

Game-based cognitive ability tests, built to be AI-resistant by design.

Best for: employers who want our highest level of AI protection and are happy with a more interactive format. Ideal for early careers, with our most engaging candidate experience.

  • Fast, dynamic tasks. There's no static question text to copy into an AI tool.
  • Short and engaging. Six games across numerical, verbal and logical reasoning, with a complete cognitive profile in 14 minutes.

Every assessment also includes built-in anti-cheat features, with verification testing available when you need extra confidence.

Test Partnership's tests give one of our best indicators to future performance. The gamified tests have only enhanced their effectiveness, testing candidates on multiple levels simultaneously. Add to that their ability to identify candidates' true potential rather than that of ChatGPT, we consider it an invaluable part of our skills assessment process.

Cover of the AI-Resilience in Assessments whitepaper

Read our framework on AI-resilience

Our Chief Psychologist's full framework for minimising AI-cheating in assessment and selection.

  • Why a 5% cheating rate can mean half your shortlist data is tarnished
  • 12 selection methods ranked from safest to most AI-vulnerable
  • The nine-principle ACT framework