As vehicle technology evolves at a rapid pace, questions are being raised about how MOT testing will adapt. With electric vehicles (EVs), advanced driver-assistance systems (ADAS), and smarter onboard diagnostics becoming standard, many wonder whether the future of MOT testing will involve artificial intelligence taking over some—or all—of the inspector’s role. While AI is already influencing the automotive industry, replacing human inspectors completely is far more complex.
AI and machine learning are increasingly used for predictive maintenance, safety monitoring, and fault detection. Many modern vehicles can already identify issues such as brake wear, tyre pressure problems, and sensor faults long before a driver notices them.
These technologies could support MOT testing by:
Platforms like CheckMot.com already use digital data to help drivers understand their MOT history, mileage trends, and potential issues—laying the groundwork for more automated testing.
Despite technological advances, MOT inspections involve detailed physical checks that AI alone cannot perform reliably. Human inspectors use judgement, experience, and decision-making that machines cannot easily replicate.
Key tasks requiring human oversight include:
Many safety-critical assessments are visual or tactile, and some require inspectors to understand context—something AI still struggles with.
AI is unlikely to replace human MOT inspectors entirely in the coming decades. Instead, it will support them.
We are more likely to see:
AI tools could flag potential issues before inspections begin, guiding testers to specific problem areas.
Vehicles may automatically upload diagnostic reports to MOT testing centres, streamlining checks.
Virtual models of vehicles could be used to predict maintenance needs and highlight developing faults.
AI-powered measuring tools, cameras, and sensors could reduce inconsistencies between testers.
AI will complement human skills, not replace them. Regulations, safety concerns, and liability issues mean humans will remain responsible for the final decision.
Electric and autonomous vehicles will drive further changes. With fewer moving parts but more software, MOTs for EVs may focus less on mechanical wear and more on:
AI will be crucial in analysing these advanced systems, but trained inspectors will still be needed to verify hardware and ensure compliance.
No. AI will assist inspectors but full replacement is unlikely due to safety, regulation, and human judgement needs.
AI will enhance accuracy, automate diagnostics, and help detect faults more reliably.
Yes—EV MOTs will shift towards software, battery health, and electrical systems rather than traditional engine checks.
AI can improve consistency and validation, reducing the chance of mistakes or deliberate manipulation.