Can artificial intelligence teach people how to work at height?

Artificial intelligence (AI) is transforming numerous sectors of the economy, and workplace safety is no exception. Today, there are tools capable of analysing images in real time, identifying the incorrect use of personal protective equipment, detecting unauthorised entry into restricted areas and even generating simulations of risk scenarios to support decision-making. In the field of training, AI is also beginning to play a significant role: it can tailor content to each participant’s level, answer technical queries, generate personalised assessments and facilitate access to knowledge in a more dynamic and efficient way.

However, when we talk about high-risk work (working at height, rope access or confined spaces), an inevitable question arises: is artificial intelligence sufficient to train a worker?

The answer is no

Critical skills are not acquired simply by reading a procedure or sitting an assessment. They are developed through practice, repeated manoeuvres, supervision by experienced instructors, and the ability to make decisions in real-world working conditions.

Two rope access technicians performing a suspended manoeuvre with fall arrest equipment

An AI-based platform can explain how to inspect a harness, but it cannot sense the stress experienced by a worker facing a suspended manoeuvre for the first time. It can describe a rescue procedure, but it cannot correct body posture, assess team coordination or intervene in the event of an unexpected reaction during a practical exercise.

AI as a support, not a replacement

The true strength of artificial intelligence lies not in replacing face-to-face training, but in enhancing it. Used correctly, it can optimise prior learning, reinforce concepts and personalise content. However, the assessment of practical skills, technical judgement and experience still depend on people.

Rope access rescuer lowering a worker in orange overalls during a work at height rescue demonstration watched by an audience

In an environment where the consequences of a mistake can be serious, technology is a valuable aid, but safety is built on three fundamental pillars: competent people, practical training and applied engineering.

The future of safety training is likely to combine the best of both worlds: the potential of AI to enhance learning and the expertise of the professionals who, day in, day out, train workers to perform safely in the most demanding environments.

Because artificial intelligence can teach procedures, but it is people who develop the judgement, confidence and skills that really help to prevent an accident.