Are Weight Reducing Technicians at Risk Due to AI?

All healthcare support workers not listed separately.

The occupation "Healthcare Support Workers, All Other" has a base automation risk of 0.0%, indicating that the likelihood of this job being replaced by automation is virtually nonexistent. This is largely due to the unpredictable, personalized, and hands-on nature of the work that these workers perform. While automation and robotics have made significant inroads in some aspects of healthcare, the broad, support-oriented scope of this role—including assisting with patient movement, comfort, and hygiene—requires adaptability and a human touch. Tasks are often unique to particular settings or tailored to specific patient needs, making the nuances difficult for machines or algorithms to replicate. The emotional intelligence involved in providing care and the ability to respond to emergencies further reinforce the need for human involvement. Although there may be some potential for automation in select duties, even in such a low-risk role, the top three most automatable tasks for "Healthcare Support Workers, All Other" often revolve around processes that are routine and somewhat predictable. These include inventory management of medical supplies, basic data entry or digital record logging, and routine sanitization or organization of equipment and common areas. Despite this, these tasks make up only a small portion of the job and are frequently interwoven with elements that demand judgment and oversight, thereby limiting full automation. Advances in technology may enhance efficiency but are unlikely to replace the necessity for human care and discretion in these activities. Conversely, the top three most automation-resistant tasks are direct patient assistance, communication and emotional support, and adaptive problem-solving in unpredictable scenarios. Direct patient assistance often involves mobility aid or personal hygiene tasks that require safety awareness and empathetic interaction. Providing emotional support and understanding unique patient concerns is deeply human and cannot be authentically provided by machines. Finally, problem-solving in the face of constantly changing patient conditions or requirements demands critical thinking and improvisation—skills that current automation technologies cannot replicate. The primary bottleneck skills in this occupation include high levels of communication (Level 4-5), empathy and interpersonal skills (Level 5), and situational judgment and adaptability (Level 4), all of which are currently beyond the reach of automation, further securing the low automation risk in this field.